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Article

Development of Analog Rice Made from Cassava and Banana with the Addition of Katuk Leaf (Sauropus androgynous L. Merr.) and Soy Lecithin for Lactating Women

Department of Agricultural Technology, Faculty of Agriculture, Hasanuddin University, Makassar 90245, Indonesia
*
Author to whom correspondence should be addressed.
Foods 2024, 13(10), 1438; https://doi.org/10.3390/foods13101438
Submission received: 8 April 2024 / Revised: 29 April 2024 / Accepted: 3 May 2024 / Published: 7 May 2024
(This article belongs to the Section Food Nutrition)

Abstract

:
The development of analog rice, apart from being an effort to diversify food, also has the potential to be developed as a functional food to fulfill the nutrients needed by a community. Katuk leaf is known for its ability to accelerate the breast milk production of lactating women, which is inseparable from sterol in terms of bioactive content. This study aimed to determine the best formulation of analog rice made from cassava flour, banana flour, Katuk leaf powder, and soy lecithin that was sensorily acceptable, in a shape resembling rice, and able to fulfill the nutritional needs of lactating women. Analog rice was produced using an extruder machine before the physical and sensory properties analyses were carried out, followed by the chemical properties analysis. Formulation C (80% cassava flour, 20% banana flour, 3% Katuk leaf powder, and 0.5% soy lecithin) was obtained as the best or most preferred formulation based on sensory analysis. The resulting grain was oval–round in shape and had a green-brownish color, fluffy texture, and distinct aroma and taste derived from the raw material used. Therefore, this research is expected to support the development of analog rice for providing the main staple food to fulfill lactating women’s nutrition.

1. Introduction

Analog rice is a rice-shaped material processed from a mixture of rice and non-rice flours, either with identical or better nutritional content than paddy rice [1]. Rice consumption as a staple food is rising in Indonesia following population growth, demanding more rice imports [2,3]. Analog rice has been identified as a potential substitute for paddy rice that will help overcome issues with food availability and can also be designed to impart specific nutrients needed [2,4]. One of the groups of people who need certain nutrients is lactating women. Insufficient breast milk production is a common issue that many lactating women face [5,6,7]. Katuk leaves can help increase breast milk supply for lactating women due to their active compounds, alkaloids, and sterols [8,9]. The addition of Katuk leaves when making analog rice is carried out in an effort to fulfill the nutritional needs of lactating women.
Analog rice can be made from local carbohydrate sources, such as tubers, cereals, pulses, etc., the choice of which will determine its nutritional composition and specific characteristics [10,11,12]. Among the local carbohydrate sources that can be utilized are cassava and bananas. Nutritionally, cassava is rich in carbohydrates, calories, vitamins, minerals, and protein, as well as various types of fiber [13,14,15]. The amount of carbohydrates contained in cassava is higher than that in other types of carbohydrate sources that are commonly consumed, such as rice and corn which are 40% and 20% lower than cassava, respectively [14,16]. Furthermore, bananas are a nutritious alternative to rice due to their high carbohydrate content [17,18]. Besides the main ingredients, additional ingredients are necessary to reduce rehydration time and obtain firm, non-breakable rice grains [19]. Soy lecithin can be added to analog rice extrusion products to improve texture, reduce adhesive power, and improve the shape of the final product after the hydration process [20]. Soy lecithin is also beneficial in increasing milk production for lactating women due to its choline component, which prevents plugged ducts without any unpleasant side effects [21,22]. This shows the potential of both cassava and banana to be alternatives to rice, which has an important role in supporting food security and diversification through the development of analog rice with the addition of soy lecithin to improve its texture.
The development of analog rice by utilizing local ingredients has previously been carried out. Sada et al. used mocaf, mung bean, and purple corn to make analog rice [23], Rumitasari combined white corn and mung bean [24], Hasbullah et al. used mocaf flour and modified suweg flour [25], while Sulfi et al. made analog rice consisting of cassava and mung bean [26]. The production of analog rice with a combination of cassava flour and banana flour, with the inclusion of Katuk leaf powder and soy lecithin, has never been attempted before where the analog rice produced has additional nutritional value and serves as a functional food, particularly for lactating women. Lactating women need 500–1000 more calories than non-breastfeeding women [27].
Based on this description, it is necessary to conduct further research regarding the proper formulation in the production of analog rice derived from local Indonesian ingredients to replace rice and be able to meet the nutritional needs of lactating women with an acceptable taste. Therefore, this study aims to obtain the best formulation of analog rice based on the preferences of nursing mothers, to produce analog rice that resembles regular rice, and to analyze its physical and chemical properties.

2. Materials and Methods

2.1. Materials

The materials used in this study consisted of cassava flour (Manihot esculenta) (supplied by “Kusuka” Ubiku, Bantul, Yogyakarta, Indonesia), banana flour (Musa paradisiaca L.) (supplied by Lingkar Organik, Yogyakarta, Indonesia), Katuk leaf powder (Sauropus androgynus L.) (supplied by Herbadream, Solo, Indonesia), and soy lecithin (supplied by Buana Chem, Bandung, Indonesia). All chemicals used were of the analytical grade (Pro Analyst Grade; Merck, Rahway, NJ, USA).

2.2. Production of Analog Rice

The analog rice formulation refers to Yulianti and Waluyo [17] with modifications on flour composition and proportions through the addition of Katuk leaf powder and soy lecithin to provide the desired nutrition needed for lactating women. The formulation for making analog rice can be seen in Table 1. The chosen concentration of Katuk leaf powder was 3%, which was obtained from preliminary research, while the chosen concentration range of soy lecithin was predicated by referring to Oke et al.’s study [28].
Analog rice was produced using extrusion technology, which consists of several process stages (Figure 1) including material preparation, mixing, steaming, molding, and drying. The preparation of the material began with sifting the Katuk leaf powder using a 100-mesh sieve. Furthermore, the ingredients, namely cassava flour, banana flour, Katuk leaf powder, and soybean lecithin, were weighed according to the formulation. The next stage was the mixing process. The ingredients, consisting of flour and soy lecithin, were mixed first and then stirred for 3 min until evenly distributed. Then, 20% water was added little by little to the ingredients that had been mixed and stirred again for 10 min until the ingredients were evenly mixed and formed a dough with a slightly wet texture. Next, the dough was preconditioned by wrapping it in a filter cloth and steaming it in the boiler for 30 min. After that, it was extruded to form analog rice grains using a single screw extruder machine, assembled in the CV Giat Extruder Machine, Bogor, West Java, Indonesia. During the extrusion process, the dough flowed and was formed through the die (mold). The obtained analog rice grains were then dried in a blower oven (temperature 60 °C) to reduce the moisture content of the analog rice to below 14% (wet basis moisture content).

2.3. Physical Analyses of Analog Rice

2.3.1. Bulk Density

Bulk density was measured by placing the sample in a measuring cup to a certain volume without compacting it, and then weighing the sample [29]. Bulk density was analyzed according to the following equation:
Bulk   Density   ( g / mL ) = S a m p l e   W e i g h t   ( g ) S a m p l e   V o l u m e   ( m L )

2.3.2. Water Absorption

Water absorption was measured as prescribed by Yudanti and Waluyo [17]. A total of 1 g of sample was weighed. It was then put into an empty centrifuge tube that had been weighed before, and 10 mL of distilled water was added. Next, the samples were shaken using a vortex for 5 min until evenly mixed, then centrifuged for 15 min at 2000 rpm. After that, the supernatant was separated, and the centrifuge tube was weighed again. The value of water absorption was analyzed according to the following equation:
WA   ( % ) = F i n a l   s a m p l e   w e i g h t   g     I n i t i a l   s a m p l e   w e i g h t   ( g ) F i n a l   s a m p l e   w e i g h t   ( g )   ×   100 %

2.3.3. Swelling Power

Swelling power was measured by referring to Yudanti and Waluyo [17]. A sample of 5 g was weighed, and the sample that was weighed was randomly taken from as many as 10 grains. Then the diameter of the sample was measured in three orientations (top, side, front). Next, the sample was immersed, and its diameter was calculated again from the three-grain sides (top, side, and front) using a digital caliper. Swelling power was calculated using the following equation:
Measurement   of   analog   rice   grain   diameter   ( Ø ) = ( Ø 1 + Ø 2 + Ø 3 ) 3
Swelling   Power   ( % ) = Ø B Ø A Ø A   ×   100 %
where ØA is the diameter of analog rice before immersion (mm); ØB is the diameter of analog rice after immersion (mm).

2.3.4. Cooking Time

Analog rice was cooked in a conventional method using a traditional cooker or steamer [30]. The method of cooking the analog rice with a traditional rice cooker began with a sample of 50 g being weighed. Then, the rice cooker was filled with 300 mL of water and heated on the stove for ±3 min until the water boiled. Next, analog rice was put into the boiler and cooked for ±4 min. If the analog rice was half cooked, then the analog rice was removed, and the remaining cooking water was replaced with new water. The rice cooker was then filled with 700 mL of water again, and the analog rice was steamed for ±10 min until it turned into rice, which was characterized by having no white spots in the middle and the rice texture turning chewy. The cooking time was calculated from the time the analog rice was put into the rice cooker until it was cooked.

2.3.5. Yield of Cooked Analog Rice

The calculation of the yield of analog rice was determined from the comparison of the final weight of analog rice after drying with the initial weight of analog rice obtained from the weight of the raw material used [31]. The yield value was analyzed according to the following equation:
Yield   ( % ) = A n a l o g   r i c e s   f i n a l   w e i g h t A n a l o g   r i c e s   i n i t i a l   w e i g h t   ×   100

2.4. Chemical Analyses of Analog Rice

2.4.1. Proximate Analyses

Proximate analyses carried out in this study consist of moisture, ash, protein, fat, and carbohydrate content by referring to the Association of Official Analytical Chemists (AOAC, 2006) [32]. Moisture and ash content were determined based on the gravimetric method on a wet basis, protein content determination was based on Kjeldahl analysis, the total fat was determined using Soxhlet extraction, and carbohydrate content was determined using carbohydrate by difference.

2.4.2. Crude Fiber

The crude fiber of the analog rice was determined based on the SNI method [33]. Briefly, a total of 2–4 g of the sample was weighed and defatted using the Soxhlet method or by stirring in an organic solvent three times. The sample was dried and put into an Erlenmeyer flask, and then boiled after 1.25% H2SO4 was added followed by the addition of 3.25% NaOH, and it was then reboiled for 30 min. After that, the sample was filtered and the precipitate contained in the filter paper was washed with hot H2SO4, hot water, and ethanol. Subsequently, the filter paper was dried then cooled and weighed until a constant weight was achieved. Crude fiber content was calculated using the equation as shown below:
Crude   fiber   ( % ) = B A   ×   100 %
If crude fiber > 1% then the equation is as follows:
Crude   fiber   ( % ) = C A B   ×   100 %
where A is the sample weight (g); B is the weight of precipitate in filter paper (g); C is the ash weight (g).

2.4.3. Total Calories

The total calories in food can be calculated indirectly, based on the carbohydrate, protein, and fat content [34]. A total of 1 g of carbohydrate is equivalent to 4 calories, 1 g of protein is equivalent to 4 calories, and 1 g of fat is equivalent to 9 calories. Energy values are expressed in kilocalories (Kcal). The calculation of total calories can be obtained with the following equation:
Calories (Kcal) = Protein × 4 + Carbohydrate × 4 + Fat × 9

2.4.4. Phytosterol Levels

Phytosterol levels, namely sitosterol and stigmasterol, were determined according to the method prescribed by Indrayanto et al. [35]. Samples were weighed to within ±0.25 g and put into a 25 mL volumetric flask. Next, alcohol was added to as much as 1/3 of the volumetric flask, and the flask contents were then homogenized for 2 h. The sample was then filtered, and the filtrate obtained as a result of the filtering was spotted onto the TLC plate as many as 5 μg. After that, it was extracted (eluted) with the eluent CHCl3: Ethanol: Ethyl Acetate for ±45 min, then measured with a TLC scanner with a wavelength (λ) = 285 nm for sitosterol analysis and a wavelength (λ) = 264 nm for stigmasterol analysis.

2.4.5. Total Flavonoids

The total flavonoids of the analog rice were determined according to Sri Widyawati et al. The sample was weighed to a maximum of 0.05 g, then dissolved in 10 mL of ethanol, and then filtered, and the filtered sample was diluted. After that, a standard quercetin solution was made by weighing 0.01 g of quercetin and diluting it to 1000 ppm. Dilution was carried out by pipetting 1 mL of 1000 ppm quercetin and adding 9 mL of ethanol to obtain 100 rpm quercetin. The standard series was prepared by pipetting 100 mL of quercetin to volumes of as much as 0.1 mL, 0.2 mL, 0.4 mL, 0.8 mL, and 1.6 mL, respectively. Then, each volume was made up to 5 mL with the addition of ethanol to obtain quercetin in a row at 2 ppm, 4 ppm, 8 ppm, 16 ppm, and 32 ppm. Subsequently, the flavonoid test was carried out, with a sample of 0.5 mL added to 3 mL of methanol, then 0.2 mL of 10% AlCl3, and 0.2 mL of CH3COOK 1 M. Furthermore, the volume was made up to 10 mL by adding 6.2 mL of distilled water. After that, the absorbance was measured at its maximum wavelength (400–500 nm) using a UV–Vis spectrophotometer. Quercetin was used as a standard, while ethanol and methanol were used as blanks [36].

2.4.6. Iron (Fe) Levels

Iron levels were determined according to Nasution et al. Before preparing the sample, it was dried in an oven to reduce its water content, followed by ashing. The sample was prepared by adding 6 mL of 65% HNO3 and 2 mL of 30% H2O2 into a porcelain cup. Next, the results of the ash content were transferred to a 50 mL beaker until there was no residue left in the porcelain cup (the addition of 65% HNO3 was adjusted until there was no residue left in the porcelain cup). After that, the beaker containing the sample was heated using a hotplate until the solution was reduced by half (the destruction process). Then, 10 mL of distilled water was added, and it was filtered into a 50 mL volumetric flask, then squeezed up to the mark of the flask using distilled water and homogenized. After the sample was prepared, it was then injected by placing it in a cuvette, and the injection process was carried out using an AAS type AA-7000 Shimadzu. After that, if the sample was measured and exceeded the standard limit, a dilution process was needed so that the dilution factor could be obtained and included in the calculation. During sample injection, the standard solution series and the Fe wavelength were marked on the AAS instrument [37].

2.5. Sensory Analysis of Analog Rice

The sensory analysis used in this study was the hedonic method to determine the best formulation based on panelists’ preference with three levels of scale such as dislike (1), neutral (2), and like (3). The panelists were 25 breastfeeding mothers aged 18–40 years who were asked to observe their preferences for the cooked analog rice, which included color, odor, texture, taste, and overall appearance.

2.6. Statistical Analysis

The resulting data were processed using a completely randomized design (CRD) with three repetitions, and the results obtained for each parameter were analyzed using an ANOVA with three repetitions. Duncan’s test was used to confirm the differences between treatments. The software used for data processing was Microsoft Excel 2016 and IBM SPSS Statistics 24.

3. Results and Discussion

3.1. Analog Rice

The manufacture of the analog rice in this study used hot extrusion technology which, in its processing, used temperatures above 70 °C obtained from steamed heaters [38]. The preferred analog rice produced in this study (Figure 2) has a shape resembling rice in general, which is oval with a brownish-green color derived from the raw materials of the cassava, banana, and Katuk leaves used. After cooking, the analog rice has a fluffy texture like rice in general, and a deeper color, as well as aroma, and the taste produced has distinctive characteristics derived from the ingredients used. Analog rice can be cooked using an electrical rice cooker or the conventional method with a steamer. In this research, the analog rice was cooked using the conventional cooking method. The cooking of analog rice using a steamer can be performed by filling the steamer pot with water up to the limit of tera and bringing it to a boil, then, the analog rice is put in and boiled until half cooked, after which the steamer pot filter is removed and the remaining water from cooking the analog rice is replaced with new water then the analog rice is steamed. The cooking of analog rice lasts for 10–15 min and the cooked rice is characterized by not having white spots in the middle and having a chewy texture [30].

3.2. Physical Properties

The analog rice formulations produced had no significant effect (p > 0.05) on all of the physical parameters consisting of bulk density, water absorption, swelling power, cooking time, and yield of the analog rice, which can be seen in Table 2. The bulk density obtained in all three analog rice formulations showed no significant differences, ranging from 0.55 to 0.57 g/mL, with a ratio of cassava and banana flour of 60%:40% as the highest. Analog rice with a greater bulk density indicates that the porosity of the analog rice is lower [39,40,41]. This is attributed to water loss during the drying process in analog rice-making [40,42,43] and is influenced by the moisture content of the ingredients [44,45]. A large bulk density value will require a smaller storage space, and vice versa [43,46]. Bulk density is also influenced by the addition of soy lecithin which, according to Hartono et al., contains more than 90% fat, which has a lower density [47] resulting in a decrease in bulk density [47,48,49].
Generally, the water absorption capacity of a material is related to its bulk density value [41,45]. Low bulk density in analog rice indicates that the analog rice has high porosity [41,50]. According to Yulviatun et al., the higher the porosity of the analog rice produced, the greater the water absorption due to the greater number of cavities between particles [41]. The highest water absorption value of the analog rice was obtained from the sample with an 80%:20% ratio of cassava and banana flours (77.27%), with no significant difference from the other two formulas. The high water absorption was influenced by the high starch content of the ingredients used in the formulation, especially the amylose content which has an amorphous region [51,52,53]. In addition, soy lecithin, as a stabilizer, can absorb water and increase the water absorption of analog rice because soy lecithin has hydrophilic groups so its ability to bind water from the air will be faster [54,55,56].
The highest swelling power value was obtained in the 80%:20% ratio of cassava and banana flour (31.64%), which was influenced by the amylopectin and amylose content contained in the ingredients. Banana has a low amylose content, which is 11.2% [57], while cassava has a higher amylose content, around 30% [58]. The high starch and amylose content found in the ingredients affects the swelling power [59]. Amylose, which has amorphous regions, is reactive to water molecules, causing the amount of water absorbed into the starch to increase [60,61]. Furthermore, the addition of soy lecithin affected the swelling power of the analog rice. Phospholipids present in soy lecithin can easily associate with the starch present in the material to form starch–lipid complexes, and these complexes limit the swelling of starch granules [59,62,63].
Cooking time shows the length of time needed to cook the rice until it is cooked. The results of the cooking times of the analog rice made from cassava flour and banana flour from the three formulations were around 14 min. The analog rice cooking in this study was performed conventionally using a steamer pot with boiling and steaming stages. The time needed to cook the analog rice in this study was 6 min faster when compared to paddy rice, which took 20 min. Herawati et al. stated that rice requires a longer cooking time of 20.5 min [64], while the cooking time required for analog rice is 10–15 min faster than paddy rice [65]. This is influenced by the process of making analog rice that has been through a pre-heating process so that the analog rice starch has been gelatinized [38,66]. As a result, the water absorption of the starch increases and the cooking time becomes shorter [67]. The higher the water absorption and cooking temperature, the faster the cooking time [68,69].
The yield obtained in the production of the analog rice indicates the loss of product during the process. The highest yield was obtained in the analog rice formulation with a ratio of cassava flour and banana flour of 80%:20% (67.67%), followed by the 70%:30% ratio (61.73%), and the 60%:40% ratio (58.58%). This was influenced by the addition of soy lecithin to the formulation which functions as a binder to improve the texture and improve the shape of the final product after the rehydration process, and to reduce adhesion [20,70], increasing yield. This follows the findings of Aini et al. and Van Buren et al., which state that binders function to reduce cooking loss during the processing process and cause product yields to increase [71,72]. In addition, the yield value can be influenced by temperature, drying time, and moisture content [73,74].

3.3. Proximate Content

The results obtained, as shown in Table 3, showed that the differences in the three analog rice formulations had no significant effect (p > 0.05) on the moisture content, ash content, protein content, and carbohydrate content of the analog rice, but had a significant effect (p < 0.05) on the fat content of the analog rice produced. The moisture content of the three analog rice formulations (around 7%) met the requirements of safe moisture content for rice according to Indonesian National Standard, which is <14% [75]. A moisture content of <14% will prevent mold growth that often occurs on rice, cereals, and grains [30,76]. According to Mishra et al., analog rice needs to be dried to a moisture content of 4–15% to achieve optimal moisture content to increase shelf life [77]. The moisture content of a food product can be influenced by the addition of water to the ingredients [38], the steaming process [78,79], and the drying process [78,80].
Ash content is the resulting ash that remains from a sample of food that is completely burned in the ashing process. The ash content obtained from the three analog rice formulations (1.54–2.32%) complied with the requirements for analysis of ash content in healthy foods according to Indonesian National Standard, namely, 3.50% maximum [81]. According to The Indonesian Food and Drug Authority, an ash content below 3.50% is good for consumption because the minerals contained in it are good for health [82]. The ash content in food can be influenced by the type of material used [83,84] and the drying process [85,86]. The drying process results in the decomposition of the water molecule bonding components and also increases the mineral content, increasing the ash content [87,88]. However, the ash content in food decreases, which is potentially caused by the steaming process due to mineral solubility in water during the heating process, resulting in a lower ash content [89,90].
The protein content results had no significant difference and ranged from 2.76 to 3.07%. This result was lower than that of regular rice that is generally available, which is IR64 (7.18%) [91]. Despite soy lecithin containing a protein content of around 232–1338 mg/kg [92,93], the percentage of protein source addition in the production of analog rice is insufficient to elevate the analog rice’s protein content. A similar result was shown in Sumardiono et al.’s research, where the obtained protein content of analog rice ranged from 2.66 to 4.83% [91]. Extrusion and heating processes can reduce protein content. Heat application and extrusion in analog rice production break hydrogen bonds causing denaturation and structural modification which damage the protein structure leading to decreased protein content [50,94].
The results of the fat content analysis obtained in this study showed a low value when compared to rice in general, namely, 1.37%. As the concentration of cassava flour increases, the concentration of banana flour decreases, and the fat content of the analog rice produced decreases. The highest fat content was obtained at a ratio of 60%:40% cassava and banana flour (0.80%), followed by a ratio of 70%:30% (0.60%), and a ratio of 80%:20% (0.48%), with a significant (p < 0.05) difference. Fat content in analog rice production can function as a lubricant in the extruder machine to facilitate the extruding and molding of the dough. The extruder’s performance is impacted by high fat levels (above 5–6%), which can result in poorer cooking and product forming. However, low levels of fat (below 5%) can improve the texture and facilitate steady extrusion [95]. This is in line with Mamuaja et al.’s results in analog rice production consisting of purple sweet potato, banana, and sago which had a fat content ranging from 0.25 to 1.04% [18]. Analog rice with a low fat content is less susceptible to becoming rancid and has a longer shelf life.
The carbohydrate content obtained in the analog rice production was higher when compared to rice, which contained 80.14% carbohydrates [96]. The carbohydrate content of the three types of analog rice produced from cassava and banana flours was similar, ranging from 86 to 87%. The high carbohydrate content of the analog rice obtained indicates that the analog rice can be used as an alternative source of carbohydrates and calories to rice. Budi et al., in their research related to analog rice made from corn flour, sorghum flour, and starch, obtained a carbohydrate content of 91% [38], while Noviasari et al. produced analog rice with a combination of sorghum and mocaf flours with the addition of arenga starch and corn starch, and obtained a carbohydrate content of 91–94% [97]. Cassava flour and banana flour were used as carbohydrate sources, resulting in the production of analog rice that had a high carbohydrate content [98].

3.4. Total Calories

Calories can be interpreted as an energy unit that describes the amount of potential energy contained in a food. The results of the total calorie analysis can be seen in Figure 3. The results of the analysis of variance showed that the comparison of cassava flour and banana flour in the formulation of the analog rice had no significant effect (p > 0.05) on the total calories of the analog rice, with the rice with a ratio of 70%:30% having the highest value (367.36 Kcal). The high results obtained on total calories are influenced by the levels of carbohydrates, proteins, and fats contained in the ingredients used. The higher the amount of the three components, the higher the energy contributed, and, likewise, the total calories produced will be higher. Analog rice calories obtained in this study were around 362–367 Kcal, which was higher than regular rice, namely, 360 kcal [30]. The high total calories in analog rice can be used as energy intake in carrying out activities, especially for lactating women who require a higher calorie intake of 500–1000 [27]. The sample with a ratio of 80%:20% had the lowest caloric value, which could be influenced by the low fat and carbohydrate content; thus, the calculation resulted in a low total caloric gain. This is confirmed by Schriani & Yulianti, who say that the energy value of food is determined by calculating the composition of carbohydrates, fats, and proteins [99].

3.5. Crude Fiber Content

Crude fiber is a part of dietary fiber that cannot be hydrolyzed by certain chemicals, namely sulfuric acid (H2SO4) and NaOH. The results of the analysis for crude fiber content can be seen in Figure 4. The analog rice formulation, in comparison to cassava flour and banana flour, had no significant effect (p > 0.05) on the crude fiber content of the analog rice. The crude fiber content in this study, which ranged from 6.45 to 7.01%, was higher when compared to several rice varieties of Indonesia, which ranged from 0.43 to 1.83% [100]. This was possibly influenced by the ingredients used, which consisted of cassava flour, banana flour, and Katuk leaf powder. The crude fiber content found in cassava flour is 2.41% [101], and in banana flour is 2.0% [102], while Katuk leaf contains between 1.07 and 1.87% crude fiber [103]. The more additional ingredients used, the higher the analog rice’s crude fiber content would be. However, the heating process can impair the fiber component in food which leads to fiber degradation and can also change the ratio of soluble and insoluble fibers [104].

3.6. Phytosterol Levels

The phytosterol analyses carried out in this study consisted of determining the sitosterol and stigmasterol levels. The results of the phytosterol analyses can be seen in Figure 5. The results showed that the comparison of cassava flour and banana flour with the addition of soybean lecithin had no significant effect (p > 0.05) on the β-sitosterol levels of the analog rice, whereas it did have a significant effect (p < 0.05) on the stigmasterol levels of the analog rice. The increase in the phytosterol levels contained in the analog rice was potentially caused by the addition of Katuk leaf powder. Katuk leaf powder contains 2433.4 mg/100 g dry of phytosterol [105], which contributes to the sterol and stigmasterol levels in analog rice. In this study, the greater the addition of soy lecithin, the higher the sitosterol content of the analog rice obtained, ranging from 1.50 to 1.37%, with a ratio of 80%:20% as the highest. Sitosterol can be obtained from soybean lecithin, which is the residue from the processing of soybean oil and contains sitosterol. This is in accordance with Krisnawati, which indicates that soybean oil contains 300–400 mg of sterols per 100 g, with levels of β-sitosterol (53–56%), stigmasterol (17–21%), and campesterol (20–23%) [106]. This is also confirmed by the statement by Sihmawati & Rosida, that soy lecithin contains a sterol component of 2–5% [107].
The analog rice with a ratio of 60%:40% showed a high stigmasterol content (1.60%), and this was significantly (p < 0.05) higher than that of the analog rice with a 80%:20% ratio (1.11%). The decline in stigmasterol content in the analog rice is due to the reduced ratio of banana flour in the analog rice formulation. The study by Ramu et al. found that banana extract contains a fairly high stigmasterol content of 21.91% [108]. As a result, the lower the concentration of banana flour, the lower the stigmasterol content in the analog rice produced. In addition, Katuk leaves contain stigmasterol, which can be used to increase lactation in lactating women. According to Petrus, one of the stigmasterol components in Katuk leaves is stigmasta-5,22-dien-3β-ol [109], which functions in the same way as cholesterol in the process of steroidogenesis, namely, converting free cholesterol into pregnenolone (precursor of all hormones including those for producing breast milk) [110,111]. Furthermore, sterol has a function in modulating the gut microbiota (Figure 6), hence, it is beneficial for health and could improve breast milk quality [112]. β-sitosterol enhances the variety of Staphylococcus and Streptococcus bacteria found in the colostrum, bacterial species that are highly nourishing for infants [112,113].

3.7. Total Flavonoids

Flavonoids are phenolic compounds with the chemical structure C6-C3-C6 that are found in many plants and foods. The results of the analysis (Figure 7) showed that the different analog rice formulations had no significantly different effect (p > 0.05) on flavonoid content, with values ranging from 0.17 to 0.21%, with the highest value obtained from the rice with an 80%:20% ratio. Flavonoids can be obtained from the addition of Katuk leaves which contain flavonoids of the quercetin and kaempferol types. Those flavonoids affect the hormone prolactin, which works actively in the formation of breast milk so that milk production can run smoothly [114,115]. This was confirmed in the study by Magdalena et al., which found that the flavonoid type quercetin, with an amount of 4.5 mg and 138.14 mg of kaempferol, was found in Katuk leaves [116]. Moreover, the addition of soy lecithin to analog rice formulations increases the activity of flavonoids. Soy lecithin is a phospholipid that acts as a barrier against oxygen, thereby reducing the oxidation process or acting as an antioxidant during heating [117,118]. Furthermore, flavonoid levels in food are also influenced by the heating process, such as steaming and drying. Heating causes the flavonoids to easily oxidize, and phenol decomposition will occur, which will affect the flavonoid content [119,120,121].

3.8. Levels of Iron (Fe)

Iron is a macro mineral that is needed by the body and plays a role in the formation of red blood cells, especially in the synthesis of hemoglobin [122,123]. The results of the iron analysis (Figure 8) showed that the rice analog formulation consisting of different ratios of cassava flour and banana flour had no significant effect (p > 0.05) on iron levels, with the iron levels obtained ranging from 65.87 to 84.32 ppm, with the rice with a ratio of 70%:30% having the highest level. The results obtained indicate that the analog rice fulfills the nutritional iron needs of lactating mothers consuming at least 30 mg of iron [124]. Iron is needed by lactating women to fulfill nutritional adequacy in producing breast milk. Iron content in food is strongly influenced by environmental factors, both during processing and storage. According to Astuti et al., the stability of iron depends on several environmental factors, namely, exposure to air, light, and humidity, as well as the nature of the material [125]. In addition, analog rice processing consists of a steaming process that can also affect the iron content in the analog rice produced. Kusnadi stated that processing with traditional steaming can affect the nutritional content of analog rice, including the iron concentration [126]. The decrease in iron levels in foodstuffs during the boiling process was also shown from the results of Prasetyo et al., which indicated that there was a decrease in the iron content of beef liver and tempeh by 22.43–34.61% in the boiling process [127].

3.9. Sensory Analysis

Sensory analysis is a method of testing that uses the human senses as the primary tool for measuring consumer acceptance or evaluating product quality. Overall, as shown in the sensory radar chart (Figure 9), the best formulation of analog rice based on the panelist’s acceptance of four sensory parameters was obtained at a ratio of 80%:20% of cassava and banana flours. The dominant color produced by the analog rice was brownish-green. This was due to the addition of Katuk leaf powder and other ingredients. In general, Katuk leaves can be used as a natural green colorant and a source of calcium and protein [103,128]. The food color becomes fainter after cooking due to starch gelatinization which is influenced by cooking time and temperature [129].
Texture is an important food quality parameter for the acceptance of analog rice, and includes the rice’s fluffiness and stickiness. The results obtained indicate that the addition of soy lecithin made the texture of the analog rice produced more favorable, imbuing it with a fluffy texture. Soy lecithin, as an amphiphilic compound, has a hydrophilic group that can bind water to make the texture of food ingredients more stable [56]. According to Wang et al., lecithin as an emulsifier in analog rice functions to improve texture, reduce adhesiveness, and improve the shape of the final product after the hydration process [20].
Aroma is a sensation that is formed from the combination of the forming ingredients and their composition in a food ingredient captured from the sense of smell. The dominant aroma in the analog rice produced was due to the addition of Katuk leaf powder and other ingredients in the formulation, making the aroma present in the analog rice difficult to distinguish. The addition of Katuk leaf powder gave a distinctive aroma, namely a languorous aroma to the analog rice. The strong aroma in the flour is caused by the enzymes lipoxygenase and chlorophyllase, which are caused by cyanide compounds (HCN) [2,130]. The Katuk leaves gave a distinctive and pungent aroma even though their addition was in small amounts [131,132]. Meanwhile, another dominant aroma that appeared was the aroma of cassava flour as the main constituent ingredient in the analog rice produced.
Taste is formed from the combination of ingredients used in a product. The addition of several ingredients in making the analog rice made it difficult for panelists to distinguish the taste of the analog rice, as the taste was dominated by cassava as the main raw material used. Naknean and Meenune stated that the factors that affect food flavor are temperature, chemical compounds, concentration, and their interaction with other components [133]. While Kusmiandany reported that cassava gave a bitter taste due to its toxins, Arief et al., in their research, found that the flavor of analog rice made of cassava was almost the same as the original rice [134,135].

4. Conclusions

Based on the consumer preference level of lactating women, we concluded that the C formulation of analog rice was the best analog rice, containing 80% cassava flour, 20% banana flour, 3% Katuk leaves powder, and 0.5% soy lecithin. This analog rice sample had the highest level of protein, crude fiber, and total flavonoids and the lowest level of fat and calories. Furthermore, the preferable analog rice ratio exhibited a bulk density of 0.55 g/mL, 77.27% water absorption, 31.64% swelling power, and a cooking time of 14.07 min with a 67.67% yield. Formulations with a ratio of 80%:20% can be used as an alternative to original rice for lactating women who, by consuming the analog rice at around 300 g per day, can meet their calorie requirement, which is around 500–1000 kcal, as well as 20% of their protein requirement and 30–60% of their iron requirement. The analog rice produced had a shape resembling rice grains with oval characteristics. The sensory analysis showed a brownish-green color and a fluffy texture, as well as a distinctive aroma of Katuk and a distinctive taste of analog rice from the ingredients used. However, more efforts are still needed to improve the sensory quality of the analog rice produced to make it more acceptable to the public so that it can fully replace the available rice, and further studies need to be conducted on the functionality of the analog rice produced in order to investigate the efficacy of the analog rice in assisting lactating women.

Author Contributions

Conceptualization, M.M.; writing—original draft, M.M. and A.B.T.; formal analysis, E.A. and J.L.; writing—review and editing, M.M. and D.G.N.; supervision, M.M. and J.L.; validation, A.B.T.; funding acquisition, M.M. and A.B.T. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Ministry of Education, Culture, Research and Technology of The Republic of Indonesia with Contract Number 020/E5/PG.02.00.PT/2022.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original contributions presented in the study are included in the article, further inquiries can be directed to the corresponding author.

Acknowledgments

This work was a part of research supported by the Ministry of Education, Culture, Research and Technology of The Republic of Indonesia with Contract Number 020/E5/PG.02.00.PT/2022. The authors would like to thank the Ministry for the funding.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Budijanto, S. Yuliyanti Study of Preparation Sorghum Flour and Application for Analogues Rice Production. J. Teknol. Pertan. 2012, 13, 177–186. [Google Scholar]
  2. Anggraeni, D.; Solahudin, M. Sutrisno Ingredients Formulation of Analogue Rice Based on Location Specific Flour, Case Studies in the Purworejo District. IOP Conf. Ser. Earth Environ. Sci. 2020, 542, 012015. [Google Scholar] [CrossRef]
  3. Ruvananda, A.R.; Taufiq, M. Analysis of Factors Affecting Rice Imports in Indonesia. KINERJA 2022, 19, 195–204. [Google Scholar] [CrossRef]
  4. Pudjihastuti, I.; Sumardiono, S.; Supriyo, E.; Kusumayanti, H. Quality Analog Rice Composite Flour: Modified Starch, Colocasia Esculenta, Canna edulis Ker High Protein. In Proceedings of the 4th International Conference on Engineering, Technology, and Industrial Application (ICETIA), Surakarta, Indonesia, 13–14 December 2018; Volume 1977. [Google Scholar]
  5. Gunanegara, R.; Suryawan, A.; Sastrawinata, U.; Surachman, T. Efektivitas Ekstrak Daun Katuk Dalam Produksi Air Susu Ibu Untuk Keberhasilan Menyusui. J. Kedokt. Maranatha 2010, 9, 104–117. [Google Scholar]
  6. Idris, F.P.; Kanang, B.; Adriani, F.; Asrina, A. Mother’s Behavior in Breastfeeding in Gowa Regency, South Sulawesi (Study on Mothers with Insufficient Breastmilk Production). Gac. Sanit. 2021, 35, S472–S474. [Google Scholar] [CrossRef] [PubMed]
  7. Kent, J.C.; Ashton, E.; Hardwick, C.M.; Rea, A.; Murray, K.; Geddes, D.T. Causes of Perception of Insufficient Milk Supply in Western Australian Mothers. Matern. Child. Nutr. 2021, 17, e13080. [Google Scholar] [CrossRef] [PubMed]
  8. Mustofa; Yuliani, F.S.; Purwono, S.; Sadewa, A.H.; Damayanti, E.; Heriyanto, D.S. Polyherbal Formula (ASILACT®) Induces Milk Production in Lactating Rats through Upregulation of α-Lactalbumin and Aquaporin Expression. BMC Complement. Med. Ther. 2020, 20, 368. [Google Scholar] [CrossRef] [PubMed]
  9. Soka, S.; Alam, H.; Boenjamin, N.; Agustina, T.W.; Suhartono, M.T. Effect of Sauropus androgynus Leaf Extracts on the Expression of Prolactin and Oxytocin Genes in Lactating BALB/C Mice. Lifestyle Genom. 2010, 3, 31–36. [Google Scholar] [CrossRef] [PubMed]
  10. Nugraheni, M.; Purwanti, S.; Ekawatiningsih, P. Impact of Analog Rice Derived from Different Composite Flours from Tubers, Germinated Legumes, and Cereals on Improving Serum Markers in Alloxan-Induced Diabetic Rats. Prev. Nutr. Food Sci. 2021, 26, 296–306. [Google Scholar] [CrossRef]
  11. Pudjihastuti, I.; Sumardiono, S.; Supriyo, E.; Kusumayanti, H. Analog Rice Made from Cassava Flour, Corn and Taro for Food Diversification. In Proceedings of the 4th International Conference on Energy, Environment, Epidemiology and Information System (ICENIS 2019), Semarang, Indonesia, 7–8 August 2019; Volume 125, pp. 1–4. [Google Scholar]
  12. Sumardiono, S.; Budiyono; Kusumayanti, H.; Prakoso, N.I.A.; Paundrianagari, F.P.; Cahyono, H. Influence of Composite Flour Constituents and Extrusion Temperature in the Production of Analog Rice. Food Sci. Nutr. 2021, 9, 4385–4393. [Google Scholar] [CrossRef]
  13. Adesina, B.S.; Bolaji, O.T. Effect of Milling Machines and Sieve Sizes on Cooked Cassava Flour Quality. Niger. Food J. 2013, 31, 115–119. [Google Scholar] [CrossRef]
  14. Lu, H.; Guo, L.; Zhang, L.; Xie, C.; Li, W.; Gu, B.; Li, K. Study on Quality Characteristics of Cassava Flour and Cassava Flour Short Biscuits. Food Sci. Nutr. 2020, 8, 521–533. [Google Scholar] [CrossRef] [PubMed]
  15. Munandar, A.; Haryanti, I.; Ilham, I.; Yusuf, M.; Alwi, A.; Muhajirin, M. Community Empowerment Through Training in Processing Cassava into Cassava Flour. Lumbung Inov. J. Pengabdi. Kpd. Masy. 2022, 7, 56–64. [Google Scholar] [CrossRef]
  16. Bala, A.; Gul, K.; Riar, C.S. Functional and Sensory Properties of Cookies Prepared from Wheat Flour Supplemented with Cassava and Water Chestnut Flours. Cogent Food Agric. 2015, 1, 1019815. [Google Scholar] [CrossRef]
  17. Yudanti, R.Y.; Waluyo, S. The Producing of Analog Rice Based on Banana Flour (Musa Paradisiaca). J. Tek. Pertan. Lampung 2015, 4, 117–126. [Google Scholar]
  18. Mamuaja, C.F.; Inkiriwang, D.; Lamaega, J. Quality and Preference of Innovative Analog Rice from Purple Sweet Potato, Goroho Banana, and Baruk Sago Section. Eur. Chem. Bull. 2023, 12, 1554–1561. [Google Scholar]
  19. Kurniasari, I.; Kusnandar, F.; Budijanto, S. Physical Characteristics of Corn-Based Instant Analog Rice with Addition of κ-Carrageenan and Konjac. agriTECH 2020, 40, 64–73. [Google Scholar] [CrossRef]
  20. Wang, J.P.; An, H.Z.; Jin, Z.Y.; Xie, Z.J.; Zhuang, H.N.; Kim, J.M. Emulsifiers and Thickeners on Extrusion-Cooked Instant Rice Product. J. Food Sci. Technol. 2013, 50, 655–666. [Google Scholar] [CrossRef]
  21. Lawrence, R.A.; Lawrence, R.M. Breastfeeding: A Guide for the Medical Profession; Elsevier Health Sciences: Amsterdam, The Netherlands, 2022. [Google Scholar]
  22. Younes, M.; Aquilina, G.; Castle, L.; Engel, K.H.; Fowler, P.; Fernandez, M.J.F.; Furst, P.; Gurtler, R.; Husøy, T.; Manco, M.; et al. Opinion on the Re-Evaluation of Lecithins (E 322) as a Food Additive in Foods for Infants below 16 Weeks of Age and Follow-up of Its Re-Evaluation as Food Additive for Uses in Foods for All Population Groups. EFSA J. 2020, 18, e06266. [Google Scholar] [CrossRef]
  23. Sada, Z.P.; Mahendradatta, M.; Latief, R. Physicochemical Characteristics and Anthocyanin Content of Analog Rice Made from Mocaf, Mung Beans (Vigna radiata), and Purple Corn (Zea mays L.). IOP Conf. Ser. Earth Environ. Sci. 2021, 807, 022061. [Google Scholar] [CrossRef]
  24. Rumitasari, A.; Tawali, A.; Laga, A.; Langkong, J.; Mahendradatta, M. Formulation of Analog Rice Made of White Corn (Zea mays Ceratina) and Mung Beans (Vigna radiata L.) Flour as an Alternative Food in Maintaning a Complete Nutrition. In Proceedings of the Food Ingredient Asia Conference (FiAC), Bangkok, Thailand, 18–20 June 2020; SciTePress—Science and Technology Publications: Setbal, Portugal, 2020; pp. 92–96. [Google Scholar]
  25. Hasbullah, U.H.A.; Surayya, L.; Syah, I.T. Physical and Nutritional Properties of Analog Rice Based on Modified Cassava Flour and Modified Suweg Flour. Indones. Food Nutr. Prog. 2023, 19, 9. [Google Scholar] [CrossRef]
  26. Sulfi, S.; Nurhisna, N.I.U.; Abdullah, N.; Tawali, A.B.; Langkong, J.; Mahendradatta, M. Formulation of Analog Rice Using Cassava (Manihot Esculenta) and Mung Bean (Vigna radiata L.) for Breastfeeding Mothers. In Proceedings of the 1st Unhas International Conference on Agricultural Technology, Makassar, Indonesia, 27–28 October 2023; Volume 2596, p. 040029. [Google Scholar]
  27. Radharisnawati, N.; Kundre, R.; Pondaag, L. The Relationship Between Fulfillment of Mother’s Nutritional Needs with the Smooth Delivery of Mother’s Milk in Breastfeeding Mothers at the Bahu Community Health Center, Manado City. J. Keperawatan UNSRAT 2017, 5, 660. [Google Scholar]
  28. Oke, M.; Jacob, J.K.; Paliyath, G. Effect of Soy Lecithin in Enhancing Fruit Juice/Sauce Quality. Food Res. Int. 2010, 43, 232–240. [Google Scholar] [CrossRef]
  29. Khalil, K. Pengaruh Kandungan Air Dan Ukuran Partikel Terhadap Sifat Fisik Pakan Lokal: Sudut Tumpukan, Daya Ambang Dan Faktor Higroskopis. Media Peternak. Fak. Peternak. Inst. Pertan. Bogor 1999, 22, 33–42. [Google Scholar]
  30. Damat, D.; Natazza, R.A.; Wahyudi, V.A. Kajian Pembuatan Beras Analog Berbasis Tepung Komposit Dengan Penambahan Konsentrasi Bubur Rumput Laut (Gracilaria Sp.) Dan Gliserol Monostearat. Food Technol. Halal Sci. J. 2020, 3, 174–187. [Google Scholar] [CrossRef]
  31. Hawa, L.C.; Rhomadhona, W.; Putranto, A.W. Physicochemical Characteristics of Instant Boiled Rice: Study of Sodium Citrate Concentration and Soaking Time. J. Tek. Pertan. Lampung (Agric. Eng. Univ. Lampung) 2022, 11, 561–573. [Google Scholar] [CrossRef]
  32. Association of Official Analytical Chemist (AOAC). Official Methods of Analysis of the Association of Official Agriculture Chemist, 16th ed.; AOAC International: Rockville, MD, USA, 2006. [Google Scholar]
  33. SNI. Standar Nasional Indonesia 01-2891-1992. In Cara Uji Makanan Dan Minuman; SNI: Jakarta, Indonesia, 1992. [Google Scholar]
  34. Lieberman, H.R.; Fulgoni, V.L.; Agarwal, S.; Pasiakos, S.M.; Berryman, C.E. Protein Intake Is More Stable than Carbohydrate or Fat Intake across Various US Demographic Groups and International Populations. Am. J. Clin. Nutr. 2020, 112, 180–186. [Google Scholar] [CrossRef] [PubMed]
  35. Indrayanto, G.; Studiawan, H.; Cholies, N. Isolation and Quantitation of Manogenin and Kammogenin from Callus Cultures of Agave Amaniensis. Phytochem. Anal. 1994, 5, 24–26. [Google Scholar] [CrossRef]
  36. Sri Widyawati, P.; Maya Suteja, A.; Putut Suseno, T.I.; Monica, P.; Saputrajaya, W.; Liguori, C. Effect of Pigment Color Difference in Organic Rice on Antioxidant Activity. J. Agritech 2015, 34, 399–406. [Google Scholar] [CrossRef]
  37. Nasution, M.A.; Masfria, M.; Putra, E.D.L. Determination of Iron Content, Potassium, Calcium, and Sodium In Chinese Date Fruit (Ziziphus jujuba Miller.) Fresh and Boiled In Atomic Adsorption Spectrophotometry. Asian J. Pharm. Res. Dev. 2022, 10, 1–5. [Google Scholar] [CrossRef]
  38. Budi, F.S.; Hariyadi, P.; Budijanto, S.; Syah, D. Extrusion Process Technology of Analog Rice. Food J. 2013, 22, 263–274. [Google Scholar]
  39. Bhattacharya, K.R. Analysis of Rice Quality. In Rice Quality; Elsevier: Amsterdam, The Netherlands, 2013; pp. 431–530. [Google Scholar]
  40. Loebis, E.H.; Junaidi, L.; Susanti, I. Characterization of Quality and Nutrition Value of Cooked Rice Mocaf from Rice Analog. J. Biopropal Ind. 2017, 8, 33–46. [Google Scholar]
  41. Yulviatun, A.; Purnamasari, S.; Ariyantoro, A.R.; Atmaka, W. Physical, Chemical, and Organoleptic Characteristics of Rice Analog Made from Mocaf, Corn Flour (Zea mays L.), and Mung Bean Sprout Flour (Vigna radiata L.). J. Teknol. Has. Pertan. 2022, 15, 46. [Google Scholar] [CrossRef]
  42. Pudjihastuti, I.; Supriyo, E.; Devara, H.R. Pengaruh Rasio Bahan Baku Tepung Komposit (Ubi Kayu, Jagung Dan Kedelai Hitam) Pada Kualitas Pembuatan Beras Analog. Gema Teknol. 2021, 21, 61–66. [Google Scholar] [CrossRef]
  43. Putri, R.D.A.; Mahanani, T.A.; Simatupang, E.F.; Rohmah, K.A.N.; Lestari, I.P.; Astuti, W.; Prasetiawan, H. Synthesis of Cassava Analog Rice Fortified with Protein Tempe Flour Using Cold Extrusion Method. IOP Conf. Ser. Earth Environ. Sci. 2021, 700, 012066. [Google Scholar] [CrossRef]
  44. Kantrong, H.; Charunuch, C.; Limsangouan, N.; Pengpinit, W. Influence of Process Parameters on Physical Properties and Specific Mechanical Energy of Healthy Mushroom-Rice Snacks and Optimization of Extrusion Process Parameters Using Response Surface Methodology. J. Food Sci. Technol. 2018, 55, 3462–3472. [Google Scholar] [CrossRef] [PubMed]
  45. Sasmitaloka, K.S.; Widowati, S.; Sukasih, E. Characterization of Physicochemical, Sensory, and Functional Properties of Instant Rice from Low Amylose Rice. J. Penelit. Pascapanen Pertan. 2020, 17, 1–14. [Google Scholar] [CrossRef]
  46. Suri, S.; Singh, A. Colored Cereals: Beyond Nutritional Values. In Functionality and Application of Colored Cereals; Elsevier: Amsterdam, The Netherlands, 2023; pp. 47–72. [Google Scholar]
  47. Hartono, Y.; Sugiyono, S.; Wulandari, N. Formulation and Improvement of Solubility Properties of Chocolate Beverage Powder. J. Teknol. Dan Ind. Pangan 2018, 29, 185–194. [Google Scholar] [CrossRef]
  48. Dogan, M.; Aslan, D.; Aktar, T.; Goksel Sarac, M. A Methodology to Evaluate the Sensory Properties of Instant Hot Chocolate Beverage with Different Fat Contents: Multi-Criteria Decision-Making Techniques Approach. Eur. Food Res. Technol. 2016, 242, 953–966. [Google Scholar] [CrossRef]
  49. Hailu, Y.; Maidannyk, V.A.; Murphy, E.G.; McCarthy, N.A. Improving the Physical and Wettability Properties of Skim Milk Powders through Agglomeration and Lecithination. J. Food Eng. 2023, 357, 111597. [Google Scholar] [CrossRef]
  50. Sumardiono, S.; Pudjihastuti, I.; Supriyo, E.; Amalia, R. Physico-Chemical Properties of Calcium-Fortified Analog Rice from Composite Flour (Cassava, Corn, and Snakehead Fish) for Osteoporosis Prevention. J. Vocat. Stud. Appl. Res. 2020, 2, 10–15. [Google Scholar]
  51. Chandra, S.; Singh, S.; Kumari, D. Evaluation of Functional Properties of Composite Flours and Sensorial Attributes of Composite Flour Biscuits. J. Food Sci. Technol. 2014, 52, 3681–3688. [Google Scholar] [CrossRef] [PubMed]
  52. Li, C.; Dhital, S.; Gilbert, R.G.; Gidley, M.J. High-Amylose Wheat Starch: Structural Basis for Water Absorption and Pasting Properties. Carbohydr. Polym. 2020, 245, 116557. [Google Scholar] [CrossRef]
  53. Patty, M.D.; Murtini, E.S.; Putri, W.D.R. Physicochemical Characteristics of Starch Noodles Based on Sorghum Flour (Sorghum bicolor L. Moench) and Sago Flour (Metroxylon sp.). J. Pangan Dan Agroindustri 2023, 11, 147–157. [Google Scholar] [CrossRef]
  54. Nilsuwan, K.; Benjakul, S.; Prodpran, T. Emulsion Stability and Properties of Fish Gelatin-based Films as Affected by Palm Oil and Surfactants. J. Sci. Food Agric. 2016, 96, 2504–2513. [Google Scholar] [CrossRef] [PubMed]
  55. Voelker, A.L.; Verbeek, G.; Taylor, L.S.; Mauer, L.J. Effects of Emulsifiers on the Moisture Sorption and Crystallization of Amorphous Sucrose Lyophiles. Food Chem. X 2019, 3, 100050. [Google Scholar] [CrossRef] [PubMed]
  56. Yussof, N.S.; Tan, C.P.; Tan, T.B.; Utra, U.; Ramli, U.E. Influence of Soy Lecithin and Sodium Caseinate on The Stability and in Vitro Bioaccessibility of Lycopene Nanodispersion. Food Technol. Biotechnol. 2023, 61, 39–50. [Google Scholar] [CrossRef] [PubMed]
  57. Zhang, P.; Hamaker, B.R. Banana Starch Structure and Digestibility. Carbohydr. Polym. 2012, 87, 1552–1558. [Google Scholar] [CrossRef]
  58. Jayanti, U.; Dasir, D.; Idealistuti, I. Kajian Penggunaan Tepung Tapioka Dari Berbagai Varietas Ubi Kayu (Manihot Esculenta Crantz.) Dan Jenis Ikan Terhadap Sifat Sensoris Pempek. J. Edible 2017, 6, 59–62. [Google Scholar]
  59. Annan, H.A.; Oduro-Yeboah, C.; Annan, T.; Akonor, P.T. Sensory Optimization of an Instant Brown Rice Cereal Containing Tigernut and Soybean. J. Agric. Food Res. 2023, 14, 100808. [Google Scholar] [CrossRef]
  60. Mandasari, R.; Amanto, B.S.; Ridwan, A. Study of Physical, Chemical, Physicochemical Characteristics and Sensory Properties Black Potato (Coleus Tuberosus) Flour Modified by Lactic Acid Solution. Teknosains Pangan 2015, 4, 1–15. Available online: https://jurnal.uns.ac.id/teknosains-pangan/article/view/4680 (accessed on 20 March 2024).
  61. Vamadevan, V.; Bertoft, E. Observations on the Impact of Amylopectin and Amylose Structure on the Swelling of Starch Granules. Food Hydrocoll. 2020, 103, 105663. [Google Scholar] [CrossRef]
  62. Hu, X.; Li, Z.; Wang, F.; Mu, H.; Guo, L.; Xiao, J.; Liu, Y.; Li, X. Formation of Starch–Lipid Complexes during the Deep-Frying Process and Its Effects on Lipid Oxidation. Foods 2022, 11, 3083. [Google Scholar] [CrossRef] [PubMed]
  63. Niu, M.; Hou, G.G.; Kindelspire, J.; Krishnan, P.; Zhao, S. Microstructural, Textural, and Sensory Properties of Whole-Wheat Noodle Modified by Enzymes and Emulsifiers. Food Chem. 2017, 223, 16–24. [Google Scholar] [CrossRef] [PubMed]
  64. Herawati, H.; Kusnandar, F.; Adawiyah, D.R.; Budijanto, S. Processing Technology of Artificial Rice Supporting Food Diversification. J. Penelit. Dan Pengemb. Pertan. 2014, 33, 87–94. [Google Scholar]
  65. Srihari, E.; Sri Lingganingrum, F.; Alvina, I. Rekayasa Beras Analog Berbahan Dasar Campuran Tepung Talas, Tepung Maizena Dan Ubi Jalar. J. Tek. Kim. 2016, 11, 14–19. [Google Scholar]
  66. Budi, F.S.; Hariyadi, P.; Budijanto, S.; Syah, D. Crystallinity and Hardness of Rice Analogue Produced from Corn Flour through Hot Extrusion Processes. J. Teknol. Dan Ind. Pangan 2017, 28, 46–54. [Google Scholar] [CrossRef]
  67. Hedayati, S.; Shahidi, F.; Koocheki, A.; Farahnaky, A.; Majzoobi, M. Influence of Pregelatinized and Granular Cold Water Swelling Maize Starches on Stability and Physicochemical Properties of Low Fat Oil-in-Water Emulsions. Food Hydrocoll. 2020, 102, 105620. [Google Scholar] [CrossRef]
  68. Batista, C.d.S.; dos Santos, J.P.; Dittgen, C.L.; Colussi, R.; Bassinello, P.Z.; Elias, M.C.; Vanier, N.L. Impact of Cooking Temperature on the Quality of Quick Cooking Brown Rice. Food Chem. 2019, 286, 98–105. [Google Scholar] [CrossRef]
  69. Romero, H.M.; Zhang, Y. Physicochemical Properties and Rheological Behavior of Flours and Starches from Four Bean Varieties for Gluten-Free Pasta Formulation. J. Agric. Food Res. 2019, 1, 100001. [Google Scholar] [CrossRef]
  70. Hedayati, S.; Mazaheri Tehrani, M. Effect of Total Replacement of Egg by Soymilk and Lecithin on Physical Properties of Batter and Cake. Food Sci. Nutr. 2018, 6, 1154–1161. [Google Scholar] [CrossRef] [PubMed]
  71. Aini, N.; Munarso, J.; Annisa, F.S.; Jayanthi, T.T. Karakteristik Beras Analog Dari Tepung Jagung-Kacang Merah Menggunakan Agar-Agar Sebagai Bahan Pengikat. J. Penelit. Pascapanen Pertan. 2020, 16, 1. [Google Scholar] [CrossRef]
  72. Van Buren, J.B.; Puga, K.J.; Hoffman, K.C.; Nasados, J.A.; Bass, P.D.; Colle, M.J. Water Binders in Beef Patties Increase Yield and Extend Shelf Life. Transl. Anim. Sci. 2023, 7, txad091. [Google Scholar] [CrossRef]
  73. Erni, N.; Kadirman, K.; Fadilah, R. The Influence of Temperature and Length of Drying to the Chemical Characteristic and Organoleptic of Taro Flour (Colocasia esculenta). J. Pendidik. Teknol. Pertan. 2018, 1, 95–105. [Google Scholar] [CrossRef]
  74. Nithyalakshmi, V.; Preetha, R. Effect of Cooking Conditions on Physico-Chemical and Textural Properties of Emu (Dromaius novaehollandiae) Meat. Int. Food Res. J. 2015, 22, 1924–1930. [Google Scholar]
  75. SNI. Standar Nasional Indonesia 01-6128-2008. In Beras; SNI: Jakarta, Indonesia, 2008. [Google Scholar]
  76. Thielecke, F.; Nugent, A.P. Contaminants in Grain—A Major Risk for Whole Grain Safety? Nutrients 2018, 10, 1213. [Google Scholar] [CrossRef]
  77. Mishra, A.; Mishra, H.N.; Srinivasa Rao, P. Preparation of Rice Analogues Using Extrusion Technology. Int. J. Food Sci. Technol. 2012, 47, 1789–1797. [Google Scholar] [CrossRef]
  78. Wickramasinghe, Y.W.H.; Wickramasinghe, I.; Wijesekara, I. Effect of Steam Blanching, Dehydration Temperature & Time, on the Sensory and Nutritional Properties of a Herbal Tea Developed from Moringa Oleifera Leaves. Int. J. Food Sci. 2020, 2020, 5376280. [Google Scholar] [CrossRef]
  79. Xu, Y.; Chen, Y.; Cao, Y.; Huang, W.; Zhang, S.; Xia, W.; Jiang, Q. Effect of Steam Cooking on Textural Properties and Taste Compounds of Shrimp (Metapenaeus ensis). Food Sci. Technol. Res. 2016, 22, 75–81. [Google Scholar] [CrossRef]
  80. Afifah, N.; Ratnawati, L.; Indrianti, N.; Sarifudin, A. The Effect of Pre-Drying Treatments on the Quality of Dehydrated Ground Beef. IOP Conf. Ser. Earth Environ. Sci. 2021, 924, 012006. [Google Scholar] [CrossRef]
  81. SNI. Standar Nasional Indonesia 01-7111.1-2005. In Makanan Pendamping Air Susu Ibu (MP-ASI)-Bagian 1: Bubuk Instan; SNI: Jakarta, Indonesia, 2005. [Google Scholar]
  82. The Indonesian Food and Drug Authority. Rencana Aksi Nasional: Gerakan Menuju Pangan Jajanan Sekolah Yang Aman, Bermutu, Dan Bergizi; The Indonesian Food and Drug Authority: Jakarta, Indonesia, 2014. [Google Scholar]
  83. Damanik, M.; Rosmiati, R.; Permatasari, T.; Surbakti, T.A.; Ayuni, S. Ash, Protein And Salinity Analysis Of Integrated Formulation Of Herbs And Spices In Typical Simalungun “ Tinuktuk ” North Sumatera -Indonesia. Int. J. Health Pharm. 2023, 3, 545–549. [Google Scholar] [CrossRef]
  84. Nurwin, A.F.; Dewi, E.N.; Romadhon, R. The Effect of Carrageenan Flour Addition on the Making of Blood Cockles (Anadara granosa) Meatballs. J. Ilmu Dan Teknol. Perikan. 2019, 1, 39–46. [Google Scholar] [CrossRef]
  85. Ismail, B.P. Ash Content Determination. Food Anal. Lab. Man. 2017, 117–119. [Google Scholar] [CrossRef] [PubMed]
  86. Liu, K. Effects of Sample Size, Dry Ashing Temperature and Duration on Determination of Ash Content in Algae and Other Biomass. Algal Res. 2019, 40, 101486. [Google Scholar] [CrossRef]
  87. Asgar, A.; Musaddad, D.; Rahayu, S.; Levianny, P.S. Effect of Temperature and Drying Time on Chemical, Physical and Organoleptic Characteristics of Dry Winged Beans. IOP Conf. Ser. Earth Environ. Sci. 2022, 1024, 012004. [Google Scholar] [CrossRef]
  88. Sonkamble, M.; Pandhure, N. Effect of Drying Methods on Ash Contents and Moisture Content of Leafy Vegetables. Int. J. Sci. Res. 2015, 6, 936–938. [Google Scholar]
  89. Barciela-Alonso, M.C.; Bermejo-Barrera, P. Variation of Food Mineral Content during Industrial and Culinary Processing. In Handbook of Mineral Elements in Food; Wiley: Hoboken, NJ, USA, 2015; pp. 163–176. [Google Scholar]
  90. Nurjanah; Suwandi, R.; Aisyah, E.N.; Hidayat, T. Changes in Mineral Content and Vitamin A of Cobia (Rachycentron canadum) Due to the Steaming Process. IOP Conf. Ser. Earth Environ. Sci. 2023, 1137, 012032. [Google Scholar] [CrossRef]
  91. Sumardiono, S.; Budiyono, B.; Kusumayanti, H.; Silvia, N.; Luthfiani, V.F.; Cahyono, H. Production and Physicochemical Characterization of Analog Rice Obtained from Sago Flour, Mung Bean Flour, and Corn Flour Using Hot Extrusion Technology. Foods 2021, 10, 3023. [Google Scholar] [CrossRef] [PubMed]
  92. Martín-Hernández, C.; Bénet, S.; Marvin-Guy, L.F. Characterization and Quantification of Proteins in Lecithins. J. Agric. Food Chem. 2005, 53, 8607–8613. [Google Scholar] [CrossRef]
  93. Mortensen, A.; Aguilar, F.; Crebelli, R.; Di Domenico, A.; Frutos, M.J.; Galtier, P.; Gott, D.; Gundert-Remy, U.; Lambré, C.; Leblanc, J.; et al. Re-evaluation of Lecithins (E 322) as a Food Additive. EFSA J. 2017, 15, e04742. [Google Scholar] [CrossRef]
  94. Finirsa, M.A.; Warsidah, W.; Sofiana, M.S.J. Risko Physicochemical Characteristics of Analogue Rice from the Combination of Seaweeds Eucheuma Cottonii, Mocaf, and Sago. Oseanologia 2022, 1, 69–76. [Google Scholar] [CrossRef]
  95. Singh, B.; Sharma, C.; Sharma, S. Fundamentals of Extrusion Processing. In Novel Food Processing Technologies; CRC Press: Boca Raton, FL, USA, 2017. [Google Scholar]
  96. Rasyid, M.I.; Yuliana, N.D.; Budijanto, S. Sensory and Physicochemical Characteristics of Sorghum Rice Analogue by Mixed Spices Addition. Agritech 2017, 36, 394–403. [Google Scholar] [CrossRef]
  97. Noviasari, S.; Kusnandar, F.; Setiyono, A.; Budijanto, S. Physical, Chemical, and Sensory Characteristics of Rice Analogue from Non Rice Ingredients. Food J. 2017, 26, 1–11. Available online: https://jurnalpangan.com/index.php/pangan/article/view/347 (accessed on 20 March 2024).
  98. Septyaningsih, D.H.; Wirasti, H.; Rahmawati; Wibowo, E.A.P. Analisis Kandungan Beras Analog Berbahan Dasar Umbi Gembili (Dioscorea esculenta). Pros. Semin. Nas. XI Rekayasa Teknol. Ind. Dan Inf. 2016, 363–367. Available online: https://journal.itny.ac.id/index.php/ReTII/article/view/482 (accessed on 24 March 2024).
  99. Sachriani, S.; Yulianti, Y. Analisis Kualitas Sensori Dan Kandungan Gizi Roti Tawar Tepung Oatmeal Sebagai Pengembangan Produk Pangan Fungsional. JST (J. Sains Terap.) 2021, 7, 26–35. [Google Scholar] [CrossRef]
  100. Kusmiyati, F.; Lukiwati, D.R.; Kristanto, B.A.; Herwibawa, B. Glycemic Index of Ten Commercially Indonesian Rice Cultivars. IOP Conf. Ser. Earth Environ. Sci. 2019, 250, 012028. [Google Scholar] [CrossRef]
  101. Novitasari, E.; Arief, R.W. Analysis of Chemical Characteristic of Casava Flour from Klenteng and Casessart (UJ5) Varieties. J. Penelit. Pertan. Terap. 2018, 18, 52–58. [Google Scholar] [CrossRef]
  102. Rosalina, Y.; Susanti, L.; Silsia, D.; Setiawan, R. Characteristics of Banana Flour from Bengkulu Local Banana Varieties. Ind. J. Teknol. Dan Manaj. Agroindustri 2018, 7, 153–160. [Google Scholar] [CrossRef]
  103. Anju, T.; Rai, N.K.S.R.; Kumar, A. Sauropus androgynus (L.) Merr.: A Multipurpose Plant with Multiple Uses in Traditional Ethnic Culinary and Ethnomedicinal Preparations. J. Ethn. Foods 2022, 9, 10. [Google Scholar] [CrossRef]
  104. Bader Ul Ain, H.; Saeed, F.; Khan, M.A.; Niaz, B.; Rohi, M.; Nasir, M.A.; Tufail, T.; Anbreen, F.; Anjum, F.M. Modification of Barley Dietary Fiber through Thermal Treatments. Food Sci. Nutr. 2019, 7, 1816–1820. [Google Scholar] [CrossRef]
  105. Handayani, S.; Setyawati, I.; Ariendha, D.S.R.; Pratiwi, Y.S.; Idyawati, S.; Fatmawati, N. The Effect of Katuk Leaf (Sauropusandrogynus L. Merr.) Biscuit Consumption toward Increasing Breastmilk Volume on the 10th Day. J. Phys. Conf. Ser. 2020, 1594, 012051. [Google Scholar] [CrossRef]
  106. Krisnawati, A. Soybeans as Source of Functional Food. Iptek Tanam. Pangan 2017, 12, 57–65. [Google Scholar]
  107. Rahayu Sihmawati, R.; Agustiyah Rosida, D. Proximate Analysis of Shredded Banana Corm With Tempeh Flour And Lechitin Fortification. STIGMA J. Mat. Dan Ilmu Pengetah. Alam Unipa 2020, 13, 1–7. [Google Scholar] [CrossRef]
  108. Ramu, R.; Shirahatti, P.S.; Nayakavadi, S.; Vadivelan, R.; Zameer, F.; Dhananjaya, B.L.; Prasad MN, N. The Effect of a Plant Extract Enriched in Stigmasterol and β-Sitosterol on Glycaemic Status and Glucose Metabolism in Alloxan-Induced Diabetic Rats. Food Funct. 2016, 7, 3999–4011. [Google Scholar] [CrossRef]
  109. Petrus, A.J.A. Sauropus androgynus (L.) Merrill-A Potentially Nutritive Functional Leafy-Vegetable. Asian J. Chem. 2013, 25, 9425–9433. [Google Scholar] [CrossRef]
  110. Bassi, G.; Sidhu, S.K.; Mishra, S. The Expanding Role of Mitochondria, Autophagy and Lipophagy in Steroidogenesis. Cells 2021, 10, 1851. [Google Scholar] [CrossRef]
  111. Kang, E.-J.; Hong, S.-H.; Lee, J.-E.; Kim, S.C.; Yang, H.-S.; Yi, P.I.; Lee, S.-M.; An, B.-S. Pregnenolone Sulfate Regulates Prolactin Production in the Rat Pituitary. J. Endocrinol. 2016, 230, 339–346. [Google Scholar] [CrossRef] [PubMed]
  112. Manoppo, J.I.C.; Nurkolis, F.; Ben Gunawan, W.; Limen, G.A.; Rompies, R.; Heroanto, J.P.; Natanael, H.; Phan, S.; Tanjaya, K. Functional Sterol Improves Breast Milk Quality by Modulating the Gut Microbiota: A Proposed Opinion for Breastfeeding Mothers. Front. Nutr. 2022, 9, 1018153. [Google Scholar] [CrossRef] [PubMed]
  113. van den Elsen, L.W.J.; Garssen, J.; Burcelin, R.; Verhasselt, V. Shaping the Gut Microbiota by Breastfeeding: The Gateway to Allergy Prevention? Front. Pediatr. 2019, 7, 47. [Google Scholar] [CrossRef]
  114. Indrayani, D.; Shahib, M.N.; Husin, F. The Effect of Katuk (Sauropus androgunus (L) Merr) Leaf Biscuit on Increasing Prolactine Levels of Breastfeeding Mother. J. Kesehat. Masy. 2020, 16, 1–7. [Google Scholar] [CrossRef]
  115. Lutfiani, L.; Nasrulloh, N. Total Flavonoids and Antioxidant Activity of Torbangun—Katuk Food Bar on the Effectiveness of Breast Milk Production. Amerta Nutr. 2023, 7, 88–97. [Google Scholar] [CrossRef]
  116. Magdalena, S.; Yuwono, B.; Dharmayanti, A.W.S. The Effect of Star Gooseberry (Sauropus androgynus (L.) Merr.) to Bleeding Time of Male Wistar Rats as an Alternative Antithrombotic Drug. e-J. Pustaka KesehatanPustaka Kesehat. 2015, 3, 212–216. [Google Scholar]
  117. Pragasam, A.; Prithvi, J.; Majalikar, P.; Tallur, P.N.; Naik, V.M. Chemical Science Review and Letters Secondary Anti-Oxidative Effect of Soya Lecithin in Bulk Soya Bean Oil. Chem. Sci. Rev. Lett. 2018, 7, 892–899. [Google Scholar]
  118. Choe, J.; Oh, B.; Choe, E. Effect of Soybean Lecithin on Iron-Catalyzed or Chlorophyll-Photosensitized Oxidation of Canola Oil Emulsion. J. Food Sci. 2014, 79, C2203–C2208. [Google Scholar] [CrossRef]
  119. ElGamal, R.; Song, C.; Rayan, A.M.; Liu, C.; Al-Rejaie, S.; ElMasry, G. Thermal Degradation of Bioactive Compounds during Drying Process of Horticultural and Agronomic Products: A Comprehensive Overview. Agronomy 2023, 13, 1580. [Google Scholar] [CrossRef]
  120. Gao, Y.; Xia, W.; Shao, P.; Wu, W.; Chen, H.; Fang, X.; Mu, H.; Xiao, J.; Gao, H. Impact of Thermal Processing on Dietary Flavonoids. Curr. Opin. Food Sci. 2022, 48, 100915. [Google Scholar] [CrossRef]
  121. Syafarina, M.; Taufiqurrahman, I. Edyson Perbedaan Total Flavonoid Antara Tahapan Pengeringan Alami Dan Buatan Pada Ekstrak Daun Binjai (Mangifera caesia). Kedokt. Gigi 2017, 1, 84–88. [Google Scholar]
  122. Erningtyas, C.; Amalia, R.B.; Faizah, Z. Overview of Protein and Fe Intake With The Event of Anemia In Adolescent: Systematic Review. PLACENTUM J. Ilm. Kesehat. Dan Apl. 2023, 10, 170–179. [Google Scholar] [CrossRef]
  123. Savarino, G.; Corsello, A.; Corsello, G. Macronutrient Balance and Micronutrient Amounts through Growth and Development. Ital. J. Pediatr. 2021, 47, 109. [Google Scholar] [CrossRef]
  124. Jorgensen, J.M.; Yang, Z.; Lönnerdal, B.; Chantry, C.J.; Dewey, K.G. Effect of Iron Supplementation during Lactation on Maternal Iron Status and Oxidative Stress: A Randomized Controlled Trial. Matern. Child. Nutr. 2017, 13, e12394. [Google Scholar] [CrossRef]
  125. Astuti, R.; Aminah, S.; Syamsianah, A. Nutritional Composition of Soyben Tempeh Fortified with Iron and Vitamin A on Uncook and Cook Soyben Tempeh. AGRITECH 2014, 34, 151–159. [Google Scholar]
  126. Kusnadi, K.; Tivani, I.; Amananti, W. Analisa Kadar Vitamin Dan Mineral Buah Karika Dieng (Carica pubescens Lenne) Dengan Menggunakan Spektrofotometri UV-Vis Dan AAS. Parapemikir J. Ilm. Farm. 2016, 5, 81–87. [Google Scholar] [CrossRef]
  127. Prasetyo, A.F.; Farapti; Isaura, E.R. The Difference of Iron Level Based on the Cooking Time and Methods Applied on the Tempeh and Beef Liver: An Experimental Study. Media Gizi Indones. 2022, 17, 159–167. [Google Scholar] [CrossRef]
  128. Kwartiningsih, E.; Ramadhani, A.N.; Putri, N.G.A.; Damara, V.C.J. Chlorophyll Extraction Methods Review and Chlorophyll Stability of Katuk Leaves (Sauropus androgynous). J. Phys. Conf. Ser. 2021, 1858, 012015. [Google Scholar] [CrossRef]
  129. Alvarez-Ramirez, J.; Vernon-Carter, E.J.; Carrillo-Navas, H.; Meraz, M. Effects of Cooking Temperature and Time on the Color, Morphology, Crystallinity, Thermal Properties, Starch-Lipid Complexes Formation and Rheological Properties of Roux. LWT 2018, 91, 203–212. [Google Scholar] [CrossRef]
  130. Salsabila, A.; Agustin, R.; Budiati, T. Effect of Addition Katuk Flour on Organoleptic and Physical Quality of Bread. JOFE J. Food Eng. 2022, 1, 66–79. [Google Scholar] [CrossRef]
  131. Utari, A.C.A.; Moviana, Y.; Judiono, J.; Hastuti, W.; Fauziyyah, R.N.; Mulyo, G.P.E. Analysis Quality of Boba (Tapioca Pearl) Katuk Leaves (Sauropus androgynus) and Mung Beans (Vigna radiata L.) As an Alternative Snack Rich in Protein and Iron for Anemic Teenagers. J. Gizi Dan Diet. 2023, 2, 38–45. [Google Scholar] [CrossRef]
  132. Arza, P.A.; Satriana, N.; Ilham, D. Pengaruh Penambahan Ekstrak Daun Katuk (Sauropus androgynus L. Merr.) Terhadap Mutu Organoleptik Dan Kadar Vitamin C Pada Donat. Pros. Semin. Kesehat. Perintis E 2018, 1, 32. [Google Scholar]
  133. Naknean, P.; Meenune, M. Factors Affecting Retention and Release of Flavour Compounds in Food Carbohydrates. Int. Food Res. J. 2010, 17, 23–34. [Google Scholar]
  134. Arief, R.W.; Novitasari, E.; Asnawi, R. Food Diversification of Cassava as Functional Food Instead of Rice in Lampung. Planta Trop. J. Agro Sci. 2018, 6, 62–69. [Google Scholar] [CrossRef]
  135. Kusmiandany, E.; Pratama, Y.; Pramono, Y.B. The Effect of Gatot (Fermented Dried Cassava) and Red Bean Ratio on Water Content and Organoleptic Characteristics of The “Gatotkaca” Analog Rice. J. Appl. Food Technol. 2019, 6, 9–11. [Google Scholar] [CrossRef]
Figure 1. Detailed illustration of the experimental method.
Figure 1. Detailed illustration of the experimental method.
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Figure 2. Preferred analog rice with a ratio of cassava flour and banana flour 80%:20%. (a) Raw analog rice, (b) cooked analog rice.
Figure 2. Preferred analog rice with a ratio of cassava flour and banana flour 80%:20%. (a) Raw analog rice, (b) cooked analog rice.
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Figure 3. The effects of the cassava flour and banana flour ratio on the total calories of analog rice. A, B, and C are the sample codes stated on Table 1. Mean values with the same letters are insignificantly different (p > 0.05).
Figure 3. The effects of the cassava flour and banana flour ratio on the total calories of analog rice. A, B, and C are the sample codes stated on Table 1. Mean values with the same letters are insignificantly different (p > 0.05).
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Figure 4. The effects of the cassava flour and banana flour ratio on the crude fiber content of analog rice. A, B, and C are the sample codes stated on Table 1. Mean values with the same letters are insignificantly different (p > 0.05).
Figure 4. The effects of the cassava flour and banana flour ratio on the crude fiber content of analog rice. A, B, and C are the sample codes stated on Table 1. Mean values with the same letters are insignificantly different (p > 0.05).
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Figure 5. The effects of the cassava flour and banana flour ratio on the phytosterol level of analog rice. A, B, and C are the sample codes stated on Table 1. Mean values with different letters are significantly different (p < 0.05).
Figure 5. The effects of the cassava flour and banana flour ratio on the phytosterol level of analog rice. A, B, and C are the sample codes stated on Table 1. Mean values with different letters are significantly different (p < 0.05).
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Figure 6. The schema of phytosterol in increasing breast milk production and quality in lactating women.
Figure 6. The schema of phytosterol in increasing breast milk production and quality in lactating women.
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Figure 7. The effects of the cassava flour and banana flour ratio on the total flavonoids in analog rice. A, B, and C are the sample codes stated on Table 1. Mean values with the same letters are insignificantly different (p > 0.05).
Figure 7. The effects of the cassava flour and banana flour ratio on the total flavonoids in analog rice. A, B, and C are the sample codes stated on Table 1. Mean values with the same letters are insignificantly different (p > 0.05).
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Figure 8. The effects of the cassava flour and banana flour ratio on the iron levels of analog rice. A, B, and C are the sample codes stated on Table 1. Mean values with the same letters are insignificantly different (p > 0.05).
Figure 8. The effects of the cassava flour and banana flour ratio on the iron levels of analog rice. A, B, and C are the sample codes stated on Table 1. Mean values with the same letters are insignificantly different (p > 0.05).
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Figure 9. The radar chart of sensory analysis on the average scores of three analog rice formulations of different ratios of cassava and banana flour.
Figure 9. The radar chart of sensory analysis on the average scores of three analog rice formulations of different ratios of cassava and banana flour.
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Table 1. Analog rice formulation of cassava and banana flours ratios. A: 60%:40%, B: 70%:30%, C: 80%:20%.
Table 1. Analog rice formulation of cassava and banana flours ratios. A: 60%:40%, B: 70%:30%, C: 80%:20%.
Sample CodeCassava FlourBanana FlourKatuk Leaf PowderSoy LecithinWaterTotal
g% *g% *% *% *% *% *
A46.206030.80403020100
B53.727022.833030.2520100
C61.208015.302030.5020100
* Percentages based on total flour weight.
Table 2. Results of physical analyses of analog rice.
Table 2. Results of physical analyses of analog rice.
Physical PropertiesRatio of Cassava and Banana Flours
A (60%:40%)B (70%:30%)C (80%:20%)
Bulk Density (g/mL)0.57 ± 0.02 a0.56 ± 0.01 a0.55 ± 0.02 a
Water Absorption (%)76.54 ± 1.78 a75.08 ± 1.53 a77.27 ± 1.15 a
Swelling Power (%)29.45 ± 5.17 a27.93 ± 5.01 a31.64 ± 5.06 a
Cooking Time (minutes)14.15 ± 0.09 a14.06 ± 0.07 a14.07 ± 0.03 a
Yield (%)58.58 ± 9.25 a61.73 ± 5.51 a67.67 ± 1.91 a
Mean values with the same letters are insignificantly different (p > 0.05).
Table 3. Proximate results of analyses of analog rice.
Table 3. Proximate results of analyses of analog rice.
Proximate Properties (%)Ratio of Cassava and Banana Flours
A (60%:40%)B (70%:30%)C (80%:20%)
Moisture content7.15 ± 0.21 a7.36 ± 0.69 a7.61± 0.44 a
Ash content2.20 ± 0.04 a1.54 ± 1.29 a2.32 ± 0.10 a
Protein content2.77 ± 0.15 a2.76 ± 0.12 a3.07 ± 0.21 a
Fat content0.80 ± 0.02 a0.60 ± 0.07 b0.48 ± 0.06 c
Carbohydrate content87.08 ± 0.29 a87.73 ± 1.88 a86.53 ± 0.74 a
Mean values with different letters are significantly different (p < 0.05).
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Mahendradatta, M.; Assa, E.; Langkong, J.; Tawali, A.B.; Nadhifa, D.G. Development of Analog Rice Made from Cassava and Banana with the Addition of Katuk Leaf (Sauropus androgynous L. Merr.) and Soy Lecithin for Lactating Women. Foods 2024, 13, 1438. https://doi.org/10.3390/foods13101438

AMA Style

Mahendradatta M, Assa E, Langkong J, Tawali AB, Nadhifa DG. Development of Analog Rice Made from Cassava and Banana with the Addition of Katuk Leaf (Sauropus androgynous L. Merr.) and Soy Lecithin for Lactating Women. Foods. 2024; 13(10):1438. https://doi.org/10.3390/foods13101438

Chicago/Turabian Style

Mahendradatta, Meta, Esra Assa, Jumriah Langkong, Abu Bakar Tawali, and Dwi Ghina Nadhifa. 2024. "Development of Analog Rice Made from Cassava and Banana with the Addition of Katuk Leaf (Sauropus androgynous L. Merr.) and Soy Lecithin for Lactating Women" Foods 13, no. 10: 1438. https://doi.org/10.3390/foods13101438

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