Extraction of Carotenoids from Pumpkin (Cucurbita moschata) and Spinach (Spinacia oleracea) Using Environmentally Friendly Deep Eutectic Solvents (DESs)

Abstract

The annually wasted amount of food has surpassed 1 billion metric tons. Food waste is considered as an important source for the recovery of bioactive compounds, such as carotenoids. There is a demand for antioxidants, nutraceuticals and natural colorants in various industries and carotenoids are one of the commonly used compounds that fit this description. Pumpkin and spinach waste, whose combined amount is over 2 million metric tons, contains bioactive compounds and these wasted foods could be utilized for the recovery of carotenoids. Carotenoids are hydrophobic molecules; therefore, commercial extraction processes often use highly non-polar solvents, and these are rarely environmentally friendly. The aim of this research was to develop effective extraction processes for carotenoids from pumpkin and spinach using environmentally friendly green chemicals. A series of deep eutectic solvents (DESs) composed with L-menthol and carboxylic aliphatic acids were made for the extraction of carotenoids from pumpkin (Cucurbita moschata) and spinach (Spinacia oleracea) via mechanical mixing–assisted extraction (MMAE) and homogenization-assisted extraction (HAE). Response surface methodology (RSM) and analysis of variance (ANOVA) were used to analyze the data and optimization. The DESs composed from L-menthol and propionic acid had the best effect on the extraction of total carotenoid content (TCC) (represented as β-carotene) from pumpkin and spinach via solutions with 1:2 and 1:4 molar ratios, respectively. The yield of carotenoid extraction is expressed in μg-β-carotene/g of pumpkin or spinach. Under the calculated optimum conditions, the yields are estimated to be 11.528 μg-β-carotene/g-pumpkin for the MMAE method, 8.966 μg-β-carotene/g-pumpkin for the HAE method, 16.924 μg-β-carotene/g-spinach for the MMAE method and 18.870 μg-β-carotene/g-spinach for the HAE method.

1. Introduction

Carotenoids are a group of natural pigments widely used in the food industry. β-carotene is an important compound in this group and the significance of this component has recently increased due to its high provitamin-A content, coloring properties and antioxidant effect [1]. Carotenoids are natural pigments that occur in bacteria, fruits, plants and fungi [2]. They cannot be synthesized by humans, and they must be obtained from food sources. One of the most important sources of carotenoids for humans are plants. The fruits and vegetables that we eat provide most of the 40–50 different carotenoids found in our diet. The most common carotenoids found in the human diet are α-carotene, β-carotene, β-cryptoxanthin, lutein, zeaxanthin and lycopene [3]. In particular, α-carotene, β-carotene and β-cryptoxanthin are vitamin-A precursor carotenoids. Once in the body, these molecules can be converted into retinol by the body. The carotenoid compounds that are found in relatively high concentrations in fruits and vegetables are lycopene, β-carotene, lutein, zeaxanthin, β-cryptoxanthin and α-carotene [4].

β-carotene is an important carotenoid, and it is also the most common carotenoid found in plants [5]. It is an organic compound, which has red-orange color, that is found in plants, fruits and fungi [2]. β-carotene is best known for being precursor to vitamin A, which is essential for vision, immune functions and skin health.

β-carotene is isolated from plants and fruits, which have ample amounts of carotenoids, by an extraction process following separation using column chromatography. In addition, it is industrially manufactured by chemical synthesis or by extraction from biological sources such as vegetables rich in β-carotene and microalgae (especially Dunaliella salina). In order to separate β-carotene among the mixture of carotenoids, polarity of the compound needs to be taken into account. β-carotene is a non-polar hydrocarbon-based (C₄₀H₅₆) compound. Therefore, it is separated via utilization of non-polar solvents such as hexane. The other environmentally non-friendly solvent choices could be tetrahydrofuran, methyl t-butylether, benzene and solvents being halogenated derivatives of hydrocarbons due to their specific advantage over other non-polar solvents in terms of solubility of β-carotene [6]. None of these solvents are attractive due to their negative effects on the environment and human health (especially benzene, which is suspected to cause cancer [7] and considered to be a class-I (very dangerous for human health) solvent [8] in the pharmaceutical industry).

“Food waste” is a hot topic. With the increasing population, the production of food has also increased. On the other hand, approximately 25–30% of the food produced is turned into waste without being used [9]. In 2022, the globally wasted amount of food was 1.052 billion metric tons [10], and this number keeps increasing. The economic value of lost food surpasses USD 1 trillion annually [10]. From an environmental point of view, 8–10% of the greenhouse gas emissions are estimated to originate from food waste [10]. The main source of food waste is the production stage, where more than 500 million metric tons are lost due to crop pests, ineffective harvesting and irrigation. This is followed by “post-harvest processing”, “storage” and “consumption” with about 350 million metric tons, where these three stages account for approximately 75% of overall food waste [11]. With the rapid increase in the human population, it is expected that by 2050, the amount of municipal solid waste worldwide will reach 3.4 billion tons, with food and organic waste accounting for the largest portion [12]. Food losses are not only an agricultural problem but they also affect global climate change and cause other environmental damage. According to the Food and Agriculture Organization of the United Nations [13], the carbon footprint of lost and wasted food was equivalent to 3.3 billion tons of CO₂ emissions per year in 2007 and 3.6 billion tons in 2011.

Pumpkin and spinach also have a place in this food loss and waste. Based on the 2022 Food and Agriculture Organization Statistics (FAOSTAT) figures, the global production of pumpkin, squash and gourds was approximately 22.8 million metric tons [14]. Especially, one of the major sources of pumpkin waste originates from Halloween decorations. In 2016, more than 1.3 billion pounds (~589,670 metric tons) of pumpkins were discarded as waste after Halloween in the United States alone [15]. In 2022, following the Halloween period, approximately 22.2 million pumpkins were discarded as garbage, where these were considered to be edible. The economic value of this wasted pumpkins is estimated to be approximately GBP 32.6 million [16]. Hence, the importance of recovery of carotenoids from the aforementioned waste can be emphasized by taking the wasted amount of pumpkins and the fact that raw pumpkins comprise ~3596 μg β-carotene in 1 cup measure (~116 g) [17] into account. Loss of spinach is also considered in the context of vegetables. As a highly perishable leafy green vegetable, spinach contributes significantly to vegetable waste. In 2020, approximately 31.0 million metric tons of spinach was manufactured globally where 6.5% of this spinach (over 2 million metric tons) was estimated to be lost during the retail phase and approximately 35% (~10.85 million metric tons) was lost during household consumption [18]. Solely, in the United Kingdom, 24.8% of spinach is wasted within the farm, grading, storage, packaging and retail stages before reaching households, which corresponds to ~15,384 metric tons [19]. As described above, the importance of recovery of carotenoids from the spinach waste can be also emphasized with the information that spinach is also rich in carotenoids (raw spinach comprises ~1688 μg β-carotene in 1 cup measure (~30 g) [17]).

Considering the importance of carotenoids, and the pumpkin and spinach that go to waste, a need for environmentally safer “green” solvents arises for the extraction of carotenoids from vegetables and fruits (such as pumpkin and spinach leaves). When compared with traditional extraction solvents, DESs have environmental and economic advantages. The DES components (L-menthol, acetic acid, propionic acid and butyric acid) used in the work presented in this paper have very low toxicity when compared to traditional hydrophobic solvents used in the extraction such as hexane (considering LD50 values). In addition, the biodegradation time for menthol, acetic acid, propionic acid and butyric acid are 28 days [20], 7 days [21], 11 days (half-life) [22] and 6 days [23], respectively. Hayyan et al. also reported more than 60% biodegradability within 28 days for the DESs they produced in the study in 2024 [24]. Deep eutectic solvents are generally used at lower temperatures (40–120 °C), often within the range of 40–80 °C depending on the application in the field of extraction processes. Traditional organic solvents extractions could be operated at room temperature to moderate temperatures (25–80 °C) or at higher temperatures (up to 100 °C or more) for specific methods like reflux extraction. By using DESs, the energy input required for extraction processes could be potentially reduced and high temperatures often needed for traditional solvents could be avoided, which contribute to both economic and environmental sustainability.

With regards to carotenoids’ extraction, some of the following studies can be given as examples. Sebdani and Abbasi used an ultrasound-assisted extraction (UAE) method using sunflower oil as the green solvent in 2023 [25]. In their study, Sebdani and Abbasi first freeze-dried the pumpkin (Cucurbita pepo) and obtained a powder. Following that, this powder was mixed with sunflower oil (with various solid/solvent ratios from 0.01 to 0.10) and placed in the ultrasonic bath at 20–60 °C for 10–70 min. Later, the carotenoids were determined by measuring the absorption of oil cyclohexane at a 450 nm wavelength. As a result of this study, the researchers reported that they obtained 5.3 to 20.7 μg β-carotene per 100 g sample and concluded that the solid–solvent ratio, temperature and ultrasonic time have a considerable effect on the carotenoid content but no effect on the oil oxidation parameters. No DESs were used in Sebdani and Abbasi’s research, whereas this paper describes the utilization of DESs as green solvent systems. Also in this work, MMAE and HAE methods were used instead of the UAE method. Stupar et al. used several natural deep eutectic solvents (NADESs) to extract β-carotene from pumpkin (Cucurbita maxima) with the support of ultrasonic power in 2021 [26]. The team first mixed the components at 50 °C and cooled down the mixtures to room temperature to obtain the following NADESs: caprylic acid:capric acid (with molar ratios 2:1, 3:1, 4:1), caprylic acid:lauric acid (3:1), pelargonic acid:lauric acid (3:1), capric acid:lauric acid (2:1), pelargonic acid:capric acid:lauric acid (3:1:1), DL-menthol:capric acid (2:1), DL-menthol:caprylic acid (1:1) and DL-menthol:lauric acid (2:1). After freeze-drying the pumpkin for 48 h, the samples were pulverized and treated with NADESs (1:10 ratio) for extraction via utilization of a shaker for 24 h and a 450 rpm shaking speed. To intensify the extraction and recovery of β-carotene, caprylic acid:capric acid (3:1) NADES was combined with UAE (at a 37 kHz frequency) since NADES was shown to have the best affinity and solubility of β-carotene. The team had evaluated results by response surface methodology (RSM) and concluded that fatty acid–based NADESs with the applied extraction method had shown a very promising environmentally friendly method from the point of green chemistry and caprylic acid:capric acid (3:1) NADES showed the highest solubility of β-carotene and good stability of recovered compound over time. The NADESs in Stupar et al.’s research were made from fatty acids (C8 to C12 chain lengths) and DL-menthol in combination with C8, C10 and C12 fatty acids, where in this paper, the hydrogen bond donors (HBDs) were carboxylic acids that comprise less than five carbons in their structures. Following that; in this research, the team has utilized the MMAE and HAE methods instead of using the UAE method. Makrygiannis et al. synthesized two DESs and used them in the extraction of antioxidant polyphenols and carotenoid pigments from apricot pulp in 2022 [27]. The DESs first synthesized as glycerol:choline chloride at a molar ratio of 2:1 and glycerol:citric acid:L-proline at a ratio of 2:1:1. Finally 20% water was added to the DESs before they were used for the extraction. The extraction of carotenoid pigments was carried out at 47 °C for 60 min under reflux and under stirring (250 rpm). The optimum conditions were reported to be the same in the article and using these conditions, the total carotenoid content was calculated to be 171.2 ± 9.2 mg/100 g dried weight. Lazzarini et al. [28] synthesized different categories of solvents, both traditional and green, in 2022. Two of the green solvents were DESs, which were composed of DL-menthol:lactic acid with a molar ratio of 8:1 and ethyl acetate:ethyl lactate with a ratio of 70:30 v/v. These solvent systems were utilized in the extraction of carotenoids from tomato pomace. The extract obtained using ethyl acetate:ethyl lactate DES with non-thermal air drying showed the highest contents of lycopene and β-carotene (75.86 and 3950.08 µg/g of dried sample, respectively). Terlidis et al. synthesized hydrophobic DESs with the combinations of thymol:hexanoic acid, thymol:octanoic acid and hexanoic acid:octanoic acid in 2023 [29]. Each of these DESs were prepared with 2:1, 1:1 and 1:2 molar ratio combinations. The team used the synthesized DESs in the extraction process of carotenoids from orange peels via mechanical mixing. They reported that the optimal hydrophobic DES was found to be thymol:hexanoic acid (2:1) and the optimum extraction was achieved using a solvent-to-solid ratio 12:1 and a temperature of 20 °C for 78 min, which resulted in a recovery of 259.45 µg of total carotenoids per g of dry matter.

The work in this paper uses DESs instead of CO₂ or traditional solvents of extraction (i.e., hexane) as the main driver of the extraction process. All research examples given above [25,26,27,28,29] use freeze-dried samples. The freeze-drying process utilizes electrical energy and vacuum power, which create an additional load on the consumption of resources and costs for the preparation of the sample. In this work, the pumpkin and spinach samples were directly used after sizing without any additional preparative process, which resulted in saving time, energy and cost.

In this regard, utilization of deep eutectic solvents (DESs) could come into the picture as a solution. A “deep eutectic solvent” (DES) is a mixture of two or more compounds that have a lower melting point than the compounds that make it up. One of these compounds is typically a hydrogen bond donor (HBD) and the other one is a hydrogen bond acceptor (HBA). Combining an HBD and HBA forms a eutectic mixture, which has a melting point considerably lower than that of the individual components. The DESs are often used in green chemistry due to their adjustable properties, their lower toxicity and their environmental beneficial factors.

The aim of this study is to extract carotenoids (quantified by means of β-carotene) from both pumpkin (Cucurbita moschata) and spinach (Spinacia oleracea) using L-menthol and carboxylic acid–based natural DESs with the assistance of mechanical mixing and homogenization and constructing mathematical models to determine the parameters of maximum efficiency for each extraction method. The natural DESs were obtained by mixing L-menthol as the hydrogen bond acceptor (HBA) and acetic acid, propionic acid and butyric acid as the hydrogen bond donors (HBDs). Menthol is an organic compound that naturally occurs in the oils of several plants in the mint family, such as peppermint and corn mint. Menthol is a cheap and natural compound to form a DES, where it will be used as the hydrogen bond acceptor (HBA). The hydrogen bond donors (HBDs) are selected among acetic acid, propionic acid and butyric acid, where all these acids are naturally found in foods and plants (i.e., vinegar, potatoes, butter, etc.). The study described in this paper has several advancements when compared to previous studies. First and foremost, the DESs used in this research work are environmentally friendly DESs, which are synthesized from naturally occurring components to start with, unlike many of the solvents used in the extraction processes for hydrophobic substances such as β-carotene. The second important point is not using expensive and power-consuming pre-treatment methods in the sample preparation. As given in the examples above and in almost all the previous studies, the samples are pre-treated with drying (freeze drying, vacuum drying or simple evaporation). The DESs in this study allowed the team to use the samples just after they were chopped down and sized without any further pre-treatment. The last point is that L-menthol:propionic acid and L-menthol:butyric acid combinations were rarely used in the prior art for the preparation of DESs. When forming the DESs, the hydrogen bond acceptors (HBAs) are generally selected among the quaternary salts such as choline chloride instead of menthol. Despite their foul-smelling odors to work with, due to their oily-like nature, propionic acid and butyric acid are selected as HBDs. The synthesized aforementioned DESs were used in this study for the first time in the extraction of carotenoids from pumpkin and spinach. Experimental results of MMAE and HAE of total carotenoid content (TCC) (quantified by means of β-carotene) from pumpkin and spinach with these DESs were modeled, and formulae were created for each extraction setup. Optimum conditions were obtained depending on the formulae.

2. Materials and Methods

2.1. Materials

The pumpkins (Cucurbita moschata) were obtained in their raw form from a local farmer, Mustafa Tanrıver, located in Ordu, Türkiye. The spinach (Spinacia oleracea) leaves were obtained as leaves in their raw form from a Migros (market) located within A-Plus AVM in Istanbul, Türkiye. The pumpkins were peeled and cut into pieces, where the pieces were sized around ≤2 mm and used as the pumpkin samples. The spinach leaves were washed and cleaned, then chopped into small pieces (also ≤2 mm) and used as the spinach samples. The calibration curves were prepared with β-carotene (≥97.0%) Sigma Aldrich Chemie GmbH (Albuch, Germany). L-menthol flakes (≥99.7%) were purchased from BASF SE (Ludwigshafen, Germany). DES ingredients such as acetic acid (≥99.5%) was purchased from Merck (Darmstadt, Germany) and propionic acid (≥99.0%) and butyric acid (≥99.0%), were purchased from Merck Schuchardt OHG (Hohenbrunn, Germany). The 0.45 μm RC filters were purchased from Sartorius Türkiye (Istanbul, Türkiye).

2.2. Preparation of Deep Eutectic Solvents (DESs)

The DESs used in the extraction β-carotene were prepared by mixing L-menthol flakes, used as the hydrogen bond acceptor (HBA) and acetic acid, propionic acid and butyric acid as hydrogen bond donors (HBDs). The amounts to be mixed were dispensed using an analytical balance (Shimadzu Corporation, Type: ATX224, Kyoto, Japan) with an accuracy of ±0.0001 g in accordance with the required molar ratios as shown in

Table 1. HBAs, HBDs, molar ratios and the abbreviations of DESs used in this study.

Hydrogen Bond Acceptor (HBA)	Hydrogen Bond Donor (HBD)	Molar Ratio (HBA:HBD)	Abbreviations
L-menthol	Acetic acid	1:1	M1ACA1
L-menthol	Acetic acid	1:2	M1ACA2
L-menthol	Acetic acid	1:3	M1ACA3
L-menthol	Acetic acid	1:4	M1ACA4
L-menthol	Propionic acid	1:1	M1PRA1
L-menthol	Propionic acid	1:2	M1PRA2
L-menthol	Propionic acid	1:3	M1PRA3
L-menthol	Propionic acid	1:4	M1PRA4
L-menthol	Butyric acid	1:1	M1BTA1
L-menthol	Butyric acid	1:2	M1BTA2
L-menthol	Butyric acid	1:3	M1BTA3
L-menthol	Butyric acid	1:4	M1BTA4

.

Afterwards, the HBAs and HBDs at predetermined ratios were mixed and heated on a hotplate stirrer (Daihan Scientific Co., Ltd., model: MSH-20D, Wonju, Gangwon, Republic of Korea) up to 80 °C and kept there until a homogeneous transparent liquid was obtained. Afterwards the mixtures were cooled down to room temperature (25 °C). The pH and the densities of the obtained DESs were measured with pH meter (Mettler-Toledo, model: SevenCompact pH/Ion S220, Shanghai, China) and density meter (Mettler-Toledo, model: DM40, Schwerzenbach, Switzerland) respectively. The pH and density results that were obtained are provided in Table S1 along with the physical state observation at temperatures 5 °C and −18 °C.

2.3. Calibration Curve Study for β-Carotene in Deep Eutectic Solvents (DESs)

To establish the calibration curves for the determination of the β-carotene concentration in the extraction samples, the reference β-carotene was dissolved in each of the obtained DESs with concentrations of 20 ppm, 40 ppm, 60 ppm, 80 ppm and 100 ppm for each measurement. The prepared samples were analyzed in the UV/visible spectrophotometer (PG Instruments Limited, model: T60 U, Leicestershire, UK) under a wavelength of λ = 450 nm [26]. Based on the results obtained from the UV/visible spectrophotometer, β-carotene calibration curve equations were calculated for each and every DES used in this study. The calibration curve equations of β-carotene for each DES are given in Table S2.

2.4. Mechanical Mixing Assisted Extraction (MMAE) of β-Carotene

The pumpkin samples were dispensed with a mass of 320 ± 25 mg and dissolved in 10 mL in the DESs M1ACA1, M1ACA2, M1ACA3 and M1ACA4, and with a mass of 120 ± 13 mg and dissolved in 10 mL in the DESs M1PRA1, M1PRA2, M1PRA3 and M1PRA4. The spinach samples were dispensed with a mass of 40 ± 20 mg and dissolved in 10 mL in the DESs M1ACA1, M1ACA2, M1ACA3 and M1ACA4, with a mass of 105 ± 6 mg and dissolved in 10 mL in the DESs M1PRA1 and M1PRA2, with mass of 160 ± 60 mg and dissolved in 10 mL in the M1PRA3, with mass of 28 ± 8 mg and dissolved in 10 mL in the M1PRA4, and with a mass of 78 ± 40 mg and dissolved in 10 mL in the DESs M1BTA1, M1BTA2, M1BTA3 and M1BTA4. The sample amounts were determined in a manner that the read absorbance values would not exceed the meaningful upper limit of UV/visible spectrophotometer (1.000). After putting samples into the DESs, the items were stirred with a mechanical mixer (Daihan Scientific Co., Ltd., model: MSH-20A, Wonju, Gangwon, Republic of Korea) at 500 rpm speed at room temperature (25 °C) under atmospheric pressure. The samples were mechanically stirred for 15, 30, 45 and 60 min.

2.5. Homogenization-Assisted Extraction (HAE) of β-Carotene

The pumpkin samples were dispensed with a mass of 315 ± 30 mg and dissolved in 10 mL in the DESs M1ACA1, M1ACA2, M1ACA3 and M1ACA4, and with a mass of 117 ± 17 mg and dissolved in 10 mL in the DESs M1PRA1, M1PRA2, M1PRA3 and M1PRA4. The spinach samples were dispensed with a mass of 25 ± 10 mg and dissolved in 7 mL in the DESs M1ACA1, M1ACA2, M1ACA3 and M1ACA4, with a mass of 35 ± 21 mg and dissolved in 7 mL in the DESs M1PRA1, M1PRA2, M1PRA3 and M1PRA4, and with a mass of 45 ± 16 mg and dissolved in 7 mL in the DESs M1BTA1, M1BTA2, M1BTA3 and M1BTA4. The sample amounts were determined in a manner that the read absorbance values would not exceed the meaningful upper limit of UV/visible spectrophotometer (1.000). After putting samples into the DESs, the items were treated with a homogenizer (IKA, model: T25 Ultra Turrax, Staufen, Germany) at 7000 rpm, 10,500 rpm and 14,000 rpm speeds at room temperature (25 °C) under atmospheric pressure. The samples were treated for 30, 60, 90 and 120 s.

2.6. Analysis of Samples with a UV/Visible Spectrophotometer for Total Carotenoid Content

After the mixing and homogenization, the mixtures were filtered through 0.45 μm RC filters and the UV absorbance measurements were collected. A UV/visible spectrophotometer (PG Instruments, T60/Leicestershire, UK) was used. Each sample was measured with three replicates in glass/quartz UV cuvettes at a λ = 450 nm wavelength against the blank sample (the relevant DES itself without any solute in it). The obtained absorbance values were used in the corresponding calibration curve equation of each DES (Table S2) to calculate the concentration of the carotenoids in ppm (mg/L) which was followed by calculation of the mass of the obtained carotenoid content via multiplying the ppm value with the volume of the DES. The quantitative results for total carotenoid content (TCC) were given in micrograms of β-carotene per gram of pumpkin (μg-β-carotene/g-pumpkin) and spinach (μg-β-carotene/g-spinach) samples.

2.7. Statistical Design of Experiments

In order to design the experimental plan, mathematical modeling and optimization of parameters, a statistical method called the “response surface methodology” (RSM) was used. The response surface methodology is a statistical and mathematical method that creates a relationship between a dependent variable (response), which could be denoted as “y” and one or more independent variables, which could be denoted as “x₁, x₂,…,x_n” [30]. In this research work, in order to evaluate the obtained data and the affecting factors, the necessary calculations and data processing algorithms were performed by utilization of Stat-Ease 360^® software 23.1.8 (64-bit) (trial version) and Minitab 21.4.1 (64-bit) (trial version). Prior to beginning this study, the appropriate experimental design type for quadratic response surfaces had to be selected [31]. Within the several design classes (three-level factorial design, Doehlert design, Box–Behnken and central composite designs), central composite design (CCD) was selected. It is also the most commonly applied design type [30]. The number of experiments (N) is calculated by Equation (1)

N = k² + 2k + C_p

(1)

where k is the number of process parameters and C_p is the number of replicates at center points.

3. Results

3.1. Mechanical Mixing–Assisted Extraction (MMAE) and Homogenization-Assisted Extraction (HAE) of β-Carotene

UV absorbance values were measured in accordance with Section 2.6 for each of the samples prepared in accordance with Section 2.4 and Section 2.5. The respective calibration lines (equations in Table S2) were used to calculate the extracted total carotenoid content (TCC) represented by means of β-carotene for each sample. The calculated experimental TCC results are collected in

Table 2. The experimental results of β-carotene extraction from the pumpkin and spinach samples using DESs with mechanical mixing–assisted extraction.

DES 1	Mixing Time (min.)	μg-β-Carotene /g-Pumpkin (Mean Value ± S.D.) 2,3	μg-β-Carotene /g-Spinach (Mean Value ± S.D.) 2,3
M1ACA1	15	0.196 c,A ± 0.043	0.714 a,A ± 0.025
M1ACA1	30	0.254 c,A ± 0.011	5.093 a,A ± 0.032
M1ACA1	45	0.229 c,A ± 0.012	1.083 a,A ± 0.016
M1ACA1	60	0.290 c,A ± 0.026	1.959 a,A ± 0.031
M1ACA2	15	0.637 a,A ± 0.011	13.867 a,A ± 0.069
M1ACA2	30	0.603 a,A ± 0.009	23.238 a,A ± 0.075
M1ACA2	45	0.566 a,A ± 0.006	9.348 a,A ± 0.108
M1ACA2	60	0.610 a,A ± 0.004	6.186 a,A ± 0.026
M1ACA3	15	0.639 a,A ± 0.020	4.447 a,A ± 0.029
M1ACA3	30	0.558 a,A ± 0.012	10.994 a,A ± 0.029
M1ACA3	45	0.572 a,A ± 0.010	6.863 a,A ± 0.040
M1ACA3	60	0.561 a,A ± 0.003	5.058 a,A ± 0.028
M1ACA4	15	0.442 b,A ± 0.008	2.202 a,A ± 0.039
M1ACA4	30	0.483 b,A ± 0.010	12.089 a,A ± 0.035
M1ACA4	45	0.510 b,A ± 0.007	7.820 a,A ± 0.069
M1ACA4	60	0.486 b,A ± 0.009	20.168 a,A ± 0.044
M1PRA1	15	7.873 c,A ± 0.023	0.866 b,A ± 0.019
M1PRA1	30	6.452 c,A ± 0.040	1.803 b,A ± 0.009
M1PRA1	45	3.960 c,A ± 0.019	1.869 b,A ± 0.009
M1PRA1	60	2.631 c,A ± 0.014	1.476 b,A ± 0.005
M1PRA2	15	10.816 a,A ± 0.044	3.567 b,A ± 0.020
M1PRA2	30	10.585 a,A ± 0.045	4.508 b,A ± 0.026
M1PRA2	45	11.542 a,A ± 0.034	5.044 b,A ± 0.027
M1PRA2	60	11.566 a,A ± 0.044	8.986 b,A ± 0.033
M1PRA3	15	8.796 a,b,A ± 0.051	3.256 b,A ± 0.011
M1PRA3	30	8.234 a,b,A ± 0.042	5.889 b,A ± 0.019
M1PRA3	45	9.264 a,b,A ± 0.023	6.944 b,A ± 0.017
M1PRA3	60	8.939 a,b,A ± 0.072	5.915 b,A ± 0.023
M1PRA4	15	7.917 b,c,A ± 0.041	9.312 a,A ± 0.049
M1PRA4	30	8.063 b,c,A ± 0.031	19.156 a,A ± 0.122
M1PRA4	45	7.757 b,c,A ± 0.047	17.580 a,A ± 0.043
M1PRA4	60	7.465 b,c,A ± 0.043	18.990 a,A ± 0.057
M1BTA1	15		1.552 a,C ± 0.045
M1BTA1	30		1.944 a,B,C ± 0.039
M1BTA1	45		2.774 a,A,B ± 0.031
M1BTA1	60		3.925 a,A ± 0.024
M1BTA2	15		2.193 a,C ± 0.040
M1BTA2	30		1.718 a,B,C ± 0.044
M1BTA2	45		4.321 a,A,B ± 0.036
M1BTA2	60		4.142 a,A ± 0.029
M1BTA3	15		1.593 a,C ± 0.032
M1BTA3	30		2.280 a,B,C ± 0.026
M1BTA3	45		2.720 a,A,B ± 0.021
M1BTA3	60		7.036 a,A ± 0.032
M1BTA4	15		1.319 a,C ± 0.024
M1BTA4	30		2.226 a,B,C ± 0.028
M1BTA4	45		5.109 a,A,B ± 0.029
M1BTA4	60		4.468 a,A ± 0.017

¹ M: L-menthol, ACA: acetic acid, PRA: propionic acid, BTA: butyric acid. ² Data are given as means (three replicates) ± standard deviation (S.D.). ³ Different lowercase letters indicate significant differences (one-way ANOVA, Tukey’s HSD, p < 0.05) among the calculated μg-β-carotene/g-sample and HBD molar ratio. Different uppercase letters indicate significant differences (one-way ANOVA, Tukey’s HSD, p < 0.05) among the calculated μg-β-carotene/g-sample and mixing time. Pumpkin samples were not used for utilization of M1BTA1, M1BTA2, M1BTA3 and M1BTA4 DESs with the MMAE method.

for the MMAE method and

Table 3. The experimental results of β-carotene extraction from the pumpkin and spinach samples using DESs with homogenization assistance.

DES 1	Hmj. 1 Time (s.)	Hmj. 1 Speed (rpm)	μg-β-Carotene /g-Pumpkin (Mean Value ± S.D.) 2,3	μg-β-Carotene /g-Spinach (Mean Value ± S.D.) 2,3
M1ACA1	30	7000	0.287 c,A,A ± 0.002	8.830 a,A,A ± 0.027
M1ACA1	60	7000	0.295 c,A,A ± 0.002	13.459 a,A,A ± 0.084
M1ACA1	90	7000	0.241 c,A,A ± 0.005	12.948 a,A,A ± 0.056
M1ACA1	120	7000	0.291 c,A,A ± 0.003	11.703 a,A,A ± 0.012
M1ACA1	30	10,500	0.359 c,A,A ± 0.003	14.116 a,A,A ± 0.054
M1ACA1	60	10,500	0.390 c,A,A ± 0.002	7.225 a,A,A ± 0.021
M1ACA1	90	10,500	0.471 c,A,A ± 0.005	12.260 a,A,A ± 0.047
M1ACA1	120	10,500	0.467 c,A,A ± 0.004	15.822 a,A,A ± 0.044
M1ACA1	30	14,000	0.464 c,A,A ± 0.002	7.731 a,A,A ± 0.078
M1ACA1	60	14,000	0.449 c,A,A ± 0.002	7.511 a,A,A ± 0.070
M1ACA1	90	14,000	0.441 c,A,A ± 0.003	7.239 a,A,A ± 0.020
M1ACA1	120	14,000	0.506 c,A,A ± 0.002	9.139 a,A,A ± 0.106
M1ACA2	30	7000	0.553 a,A,A ± 0.039	19.093 a,A,A ± 0.074
M1ACA2	60	7000	0.666 a,A,A ± 0.019	13.158 a,A,A ± 0.067
M1ACA2	90	7000	0.637 a,A,A ± 0.028	9.728 a,A,A ± 0.056
M1ACA2	120	7000	0.811 a,A,A ± 0.032	12.469 a,A,A ± 0.056
M1ACA2	30	10,500	0.762 a,A,A ± 0.044	7.622 a,A,A ± 0.014
M1ACA2	60	10,500	0.652 a,A,A ± 0.041	15.598 a,A,A ± 0.053
M1ACA2	90	10,500	0.707 a,A,A ± 0.008	20.129 a,A,A ± 0.041
M1ACA2	120	10,500	0.711 a,A,A ± 0.002	14.714 a,A,A ± 0.029
M1ACA2	30	14,000	0.562 a,A,A ± 0.038	18.474 a,A,A ± 0.017
M1ACA2	60	14,000	0.632 a,A,A ± 0.020	9.334 a,A,A ± 0.016
M1ACA2	90	14,000	0.771 a,A,A ± 0.006	11.925 a,A,A ± 0.081
M1ACA2	120	14,000	0.670 a,A,A ± 0.006	17.460 a,A,A ± 0.107
M1ACA3	30	7000	0.434 a,b,A,A ± 0.003	6.767 a,A,A ± 0.027
M1ACA3	60	7000	0.639 a,b,A,A ± 0.005	8.553 a,A,A ± 0.031
M1ACA3	90	7000	0.651 a,b,A,A ± 0.054	16.257 a,A,A ± 0.048
M1ACA3	120	7000	0.640 a,b,A,A ± 0.000	15.457 a,A,A ± 0.098
M1ACA3	30	10,500	0.571 a,b,A,A ± 0.002	16.982 a,A,A ± 0.024
M1ACA3	60	10,500	0.563 a,b,A,A ± 0.010	15.152 a,A,A ± 0.015
M1ACA3	90	10,500	0.645 a,b,A,A ± 0.003	24.930 a,A,A ± 0.057
M1ACA3	120	10,500	0.588 a,b,A,A ± 0.002	14.775 a,A,A ± 0.042
M1ACA3	30	14,000	0.606 a,b,A,A ± 0.018	13.767 a,A,A ± 0.053
M1ACA3	60	14,000	0.611 a,b,A,A ± 0.002	11.293 a,A,A ± 0.028
M1ACA3	90	14,000	0.689 a,b,A,A ± 0.000	15.814 a,A,A ± 0.039
M1ACA3	120	14,000	0.644 a,b,A,A ± 0.000	13.564 a,A,A ± 0.027
M1ACA4	30	7000	0.449 b,A,A ± 0.012	22.831 a,A,A ± 0.056
M1ACA4	60	7000	0.548 b,A,A ± 0.020	20.749 a,A,A ± 0.062
M1ACA4	90	7000	0.629 b,A,A ± 0.029	12.540 a,A,A ± 0.014
M1ACA4	120	7000	0.579 b,A,A ± 0.005	7.834 a,A,A ± 0.041
M1ACA4	30	10,500	0.545 b,A,A ± 0.004	13.751 a,A,A ± 0.063
M1ACA4	60	10,500	0.534 b,A,A ± 0.008	26.006 a,A,A ± 0.092
M1ACA4	90	10,500	0.572 b,A,A ± 0.005	11.626 a,A,A ± 0.014
M1ACA4	120	10,500	0.554 b,A,A ± 0.011	9.568 a,A,A ± 0.038
M1ACA4	30	14,000	0.581 b,A,A ± 0.003	18.883 a,A,A ± 0.055
M1ACA4	60	14,000	0.525 b,A,A ± 0.017	14.477 a,A,A ± 0.080
M1ACA4	90	14,000	0.581 b,A,A ± 0.050	7.578 a,A,A ± 0.053
M1ACA4	120	14,000	0.543 b,A,A ± 0.006	7.993 a,A,A ± 0.069
M1PRA1	30	7000	7.675 a,A,A ± 0.030	6.081 b,A,A ± 0.039
M1PRA1	60	7000	5.030 a,A,A ± 0.023	7.450 b,A,A ± 0.020
M1PRA1	90	7000	3.769 a,b,B,A ± 0.013	5.234 b,A,A ± 0.014
M1PRA1	120	7000	4.698 a,b,B,A ± 0.023	8.447 b,A,A ± 0.034
M1PRA1	30	10,500	6.896 a,b,A,A ± 0.013	11.252 b,A,A ± 0.027
M1PRA1	60	10,500	6.088 a,b,A,B,A ± 0.021	4.241 b,A,A ± 0.019
M1PRA1	90	10,500	4.712 a,b,B,A ± 0.019	4.010 b,A,A ± 0.019
M1PRA1	120	10,500	3.456 a,b,B,A ± 0.014	6.955 b,A,A ± 0.013
M1PRA1	30	14,000	6.120 a,b,A,A ± 0.024	8.539 b,A,A ± 0.020
M1PRA1	60	14,000	7.147 a,b,A,B,A ± 0.013	3.704 b,A,A ± 0.020
M1PRA1	90	14,000	6.487 a,b,B,A ± 0.023	6.080 b,A,A ± 0.012
M1PRA1	120	14,000	5.340 a,b,B,A ± 0.020	8.139 b,A,A ± 0.028
M1PRA2	30	7000	8.762 a,A,A ± 0.029	4.731 b,A,A ± 0.082
M1PRA2	60	7000	6.586 a,A,B,A ± 0.037	5.323 b,A,A ± 0.013
M1PRA2	90	7000	8.579 a,B,A ± 0.043	6.669 b,A,A ± 0.021
M1PRA2	120	7000	6.472 a,B,A ± 0.039	11.232 b,A,A ± 0.013
M1PRA2	30	10,500	7.316 a,A,A ± 0.045	2.958 b,A,A ± 0.033
M1PRA2	60	10,500	6.561 a,A,B,A ± 0.038	6.132 b,A,A ± 0.011
M1PRA2	90	10,500	6.411 a,B,A ± 0.043	6.950 b,A,A ± 0.058
M1PRA2	120	10,500	5.201 a,B,A ± 0.032	8.706 b,A,A ± 0.013
M1PRA2	30	14,000	6.935 a,A,A ± 0.040	8.774 b,A,A ± 0.032
M1PRA2	60	14,000	5.880 a,A,B,A ± 0.031	10.494 b,A,A ± 0.053
M1PRA2	90	14,000	4.935 a,B,A ± 0.039	4.587 b,A,A ± 0.048
M1PRA2	120	14,000	6.839 a,B,A ± 0.017	7.195 b,A,A ± 0.035
M1PRA3	30	7000	8.596 b,A,A ± 0.021	14.763 a,A,A ± 0.034
M1PRA3	60	7000	5.541 b,A,B,A ± 0.045	10.024 a,A,A ± 0.044
M1PRA3	90	7000	3.802 b,B,A ± 0.043	17.005 a,A,A ± 0.031
M1PRA3	120	7000	4.888 b,B,A ± 0.039	14.631 a,A,A ± 0.048
M1PRA3	30	10,500	6.981 b,A,A ± 0.041	13.676 a,A,A ± 0.052
M1PRA3	60	10,500	5.321 b,A,B,A ± 0.039	12.177 a,A,A ± 0.034
M1PRA3	90	10,500	1.803 b,B,A ± 0.033	9.143 a,A,A ± 0.035
M1PRA3	120	10,500	3.367 b,B,A ± 0.039	12.853 a,A,A ± 0.035
M1PRA3	30	14,000	5.253 b,A,A ± 0.041	10.178 a,A,A ± 0.065
M1PRA3	60	14,000	2.010 b,A,B,A ± 0.032	5.838 a,A,A ± 0.052
M1PRA3	90	14,000	0.631 b,B,A ± 0.038	11.197 a,A,A ± 0.045
M1PRA3	120	14,000	3.596 b,B,A ± 0.043	13.982 a,A,A ± 0.049
M1PRA4	30	7000	8.898 b,A,A ± 0.031	24.598 a,A,A ± 0.126
M1PRA4	60	7000	6.158 b,A,B,A ± 0.027	19.838 a,A,A ± 0.113
M1PRA4	90	7000	7.714 b,B,A ± 0.031	15.597 a,A,A ± 0.069
M1PRA4	120	7000	1.773 b,B,A ± 0.045	12.177 a,A,A ± 0.118
M1PRA4	30	10,500	5.064 b,A,A ± 0.028	7.972 a,A,A ± 0.091
M1PRA4	60	10,500	4.638 b,A,B,A ± 0.037	10.282 a,A,A ± 0.065
M1PRA4	90	10,500	3.145 b,B,A ± 0.030	15.900 a,A,A ± 0.056
M1PRA4	120	10,500	2.184 b,B,A ± 0.025	16.399 a,A,A ± 0.057
M1PRA4	30	14,000	5.653 b,A,A ± 0.026	8.387 a,A,A ± 0.078
M1PRA4	60	14,000	3.880 b,A,B,A ± 0.034	14.157 a,A,A ± 0.115
M1PRA4	90	14,000	2.029 b,B,A ± 0.040	13.669 a,A,A ± 0.100
M1PRA4	120	14,000	1.318 b,B,A ± 0.025	24.910 a,A,A ± 0.071
M1BTA1	30	7000		2.563 c,A,A ± 0.033
M1BTA1	60	7000		3.240 c,A,A ± 0.032
M1BTA1	90	7000		3.129 c,A,A ± 0.033
M1BTA1	120	7000		4.082 c,A,A ± 0.035
M1BTA1	30	10,500		2.244 c,A,A ± 0.023
M1BTA1	60	10,500		2.768 c,A,A ± 0.032
M1BTA1	90	10,500		2.889 c,A,A ± 0.039
M1BTA1	120	10,500		2.701 c,A,A ± 0.021
M1BTA1	30	14,000		2.979 c,A,A ± 0.022
M1BTA1	60	14,000		4.285 c,A,A ± 0.029
M1BTA1	90	14,000		3.862 c,A,A ± 0.050
M1BTA1	120	14,000		6.460 c,A,A ± 0.038
M1BTA2	30	7000		4.171 a,b,A,A ± 0.046
M1BTA2	60	7000		4.609 a,b,A,A ± 0.038
M1BTA2	90	7000		4.188 a,b,A,A ± 0.027
M1BTA2	120	7000		6.461 a,b,A,A ± 0.026
M1BTA2	30	10,500		3.844 a,b,A,A ± 0.042
M1BTA2	60	10,500		5.263 a,b,A,A ± 0.042
M1BTA2	90	10,500		5.191 a,b,A,A ± 0.031
M1BTA2	120	10,500		9.820 a,b,A,A ± 0.077
M1BTA2	30	14,000		5.457 a,b,A,A ± 0.045
M1BTA2	60	14,000		7.097 a,b,A,A ± 0.050
M1BTA2	90	14,000		6.782 a,b,A,A ± 0.034
M1BTA2	120	14,000		13.221 a,b,A,A ± 0.044
M1BTA3	30	7000		5.708 b,c,A,A ± 0.045
M1BTA3	60	7000		4.283 b,c,A,A ± 0.020
M1BTA3	90	7000		3.736 b,c,A,A ± 0.032
M1BTA3	120	7000		3.884 b,c,A,A ± 0.020
M1BTA3	30	10,500		2.020 b,c,A,A ± 0.038
M1BTA3	60	10,500		2.917 b,c,A,A ± 0.021
M1BTA3	90	10,500		3.239 b,c,A,A ± 0.030
M1BTA3	120	10,500		3.332 b,c,A,A ± 0.027
M1BTA3	30	14,000		5.543 b,c,A,A ± 0.037
M1BTA3	60	14,000		4.595 b,c,A,A ± 0.029
M1BTA3	90	14,000		2.968 b,c,A,A ± 0.033
M1BTA3	120	14,000		8.684 b,c,A,A ± 0.027
M1BTA4	30	7000		8.584 a,A,A ± 0.028
M1BTA4	60	7000		6.231 a,A,A ± 0.037
M1BTA4	90	7000		9.738 a,A,A ± 0.049
M1BTA4	120	7000		4.637 a,A,A ± 0.037
M1BTA4	30	10,500		11.840 a,A,A ± 0.043
M1BTA4	60	10,500		6.343 a,A,A ± 0.024
M1BTA4	90	10,500		8.197 a,A,A ± 0.039
M1BTA4	120	10,500		7.814 a,A,A ± 0.046
M1BTA4	30	14,000		8.211 a,A,A ± 0.025
M1BTA4	60	14,000		5.023 a,A,A ± 0.033
M1BTA4	90	14,000		7.401 a,A,A ± 0.046
M1BTA4	120	14,000		12.534 a,A,A ± 0.023

¹ M: L-menthol, ACA: acetic acid, PRA: propionic acid, BTA: butyric acid, Hmj: homogenization, s.:seconds. ² Data are given as means (three replicates) ± standard deviation (S.D.). ³ Different lowercase letters indicate significant differences (one-way ANOVA, Tukey’s HSD, p < 0.05) among the calculated μg-β-carotene/g-sample and HBD molar ratio. Different uppercase letters indicate significant differences (one-way ANOVA, Tukey’s HSD, p < 0.05) among the calculated μg-β-carotene/g-sample and homogenization time. Different underlined italic uppercase letters indicate significant differences (one-way ANOVA, Tukey’s HSD, p < 0.05) among the calculated μg-β-carotene/g-sample and homogenization speed. Pumpkin samples were not used for utilization of M1BTA1, M1BTA2, M1BTA3 and M1BTA4 DESs with the HAE method.

for the HAE method by means of “μg-β-carotene/g-pumpkin” and “μg-β-carotene/g-spinach”. It should be noted that the pumpkin samples were not used for utilization of M1BTA1, M1BTA2, M1BTA3 and M1BTA4 DESs with the MMAE and HAE methods.

3.2. Modeling

Based on the data obtained, the second-order models for the MMAE and HAE of TCC (by means of β-carotene) have been derived and shown in

Table 4. Model equations and their compatibility indicators derived from CCD through RSM in MMAE and HAE of carotenoids (by means of β-carotene) from pumpkin and spinach.

Extraction Setup	Independent Variables	Model Equation	R2
Sample: Pumpkin Method: MMAE and L-menthol:acetic acid DESs	X1: Acetic acid molar ratio X2: Mixing time (min.)	−4.45150 + 14.57986X1 + 0.001912X2 − 0.005262X1X2 −10.44080X12 + 0.000024X22	0.9642
Sample: Pumpkin Method: MMAE and L-menthol:propionic acid DESs	X1: Propionic acid molar ratio X2: Mixing time (min.)	−63.76949 + 241.35123X1 − 0.301289X2 + 0.401802X1X2 −191.69872X12 + 0.000041X22	0.9006
Sample: Spinach Method: MMAE and L-menthol:acetic acid DESs	X1: Acetic acid molar ratio X2: Mixing time (min.)	−87.29436 + 291.71772X1 − 0.080113X2 + 0.815406X1X2 −232.20477X12 − 0.006091X22	0.3941
Sample: Spinach Method: MMAE and L-menthol:propionic acid DESs	X1: Propionic acid molar ratio X2: Mixing time (min.)	81.41602 − 286.71718X1 + 0.011693X2 +0.437977X1X2 + 239.97280 X12 − 0.002896X22	0.7835
Sample: Spinach Method: MMAE and L-menthol:butyric acid DESs	X1: Butyric acid molar ratio X2: Mixing time (min.)	0.019209 + 7.15429X1 − 0.089691X2 + 0.147515X1X2 −7.71617X12 + 0.000871X22	0.7688
Sample: Pumpkin Method: HAE and L-menthol:acetic acid DESs	X1: Acetic acid molar ratio X2: Homogenization time (s.) X3: Homogenization speed (rpm)	−4.30138 + 12.54252X1 + 0.003089X2 + 0.000103X3 +0.000543X1X2 − 0.000081X1X3 − 1.29643 × 10−7X2X3 −8.63510X12 − 8.37963 × 10−6X22 − 1.42092 × 10−9X32	0.8418
Sample: Pumpkin Method: HAE and L-menthol:propionic acid DESs	X1: Propionic acid molar ratio X2: Homogenization time (s.) X3: Homogenization speed (rpm)	−24.31624 + 109.68892X1 − 0.063963X2 + 0.000120X3 −0.068021X1X2 − 0.001957X1X3 + 2.65619 × 10−6X2X3 −69.07260X12 + 0.000334X22 + 3.75153 × 10−8X32	0.7052
Sample: Spinach Method: HAE and L-menthol:acetic acid DESs	X1: Acetic acid molar ratio X2: Homogenization time (s.) X3: Homogenization speed (rpm)	−46.56104 + 104.57014X1 + 0.229675X2 + 0.003205X3 −0.333622X1X2 + 0.000977X1X3 + 2.93333 × 10−7X2X3 −59.45170X12 − 0.000142X22 − 1.93862 × 10−7X32	0.2725
Sample: Spinach Method: HAE and L-menthol:propionic acid DESs	X1: Propionic acid molar ratio X2: Homogenization time (s.) X3: Homogenization speed (rpm)	88.81933 − 218.95677X1 − 0.304985X2 − 0.002093X3 +0.146208X1X2 − 0.001599X1X3 + 7.80619 × 10−6X2X3 +195.82812X12 + 0.000968X22 + 1.13311 × 10−7X32	0.6540
Sample: Spinach Method: HAE and L-menthol:butyric acid DESs	X1: Butyric acid molar ratio X2: Homogenization time (s.) X3: Homogenization speed (rpm)	9.20900 + 1.75614X1 − 0.106600X2 − 0.001464X3 −0.073053X1X2 − 0.000142X1X3 + 7.09500 × 10−6X2X3 +12.70142X12 + 0.000667X22 + 5.99541 × 10−8X32	0.4718

. Considering the fact that the R² values of these equations derived by the relevant design method are generally ≥0.7000, it shows that the equations calculated for responses are satisfactory to provide explanation to the relationship between dependent and independent variables [32].

The response surfaces formed by the equations provided in Table 4 are shown in the three-dimensional (3D) graphs through Figure 1, Figure 2 and Figure 3. Within these figures, effects of parameters and their corresponding interactions on the TCC (μg-β-carotene/g-sample studied) are also displayed visually.

In Figure 1, the effects of the two process parameters on the TCC (μg-β-carotene/g-sample) have been visualized. Each graphic in Figure 1 shows the quadratic relationship between the TCC, HBD molar ratio in the DESs and mixing time as 3D surfaces, which were obtained from the calculated models in Table 4. In Figure 2, the effects of the three process parameters on the TCC (μg-β-carotene/g-pumpkin) have been visualized where data were obtained via application of the HAE method from the pumpkin samples. For each graphic for the HAE method application on the pumpkin samples, Figure 2 shows the three-quadratic relationship for each DES system as 3D surfaces (which were obtained from the calculated models in Table 4) between the response and each of two process parameters selected among the HBD molar ratio in the DESs, homogenization time and homogenization speed. For the HAE method application on the spinach samples, Figure 3 shows the three-quadratic relationship for each DES system as 3D surfaces (which were obtained from the calculated models in Table 4) between the response and each of two process parameters selected among HBD molar ratio in the DESs, homogenization time and homogenization speed.

To determine the effects of each parameter, a suitable mathematical model, which fits the polynomial Equation (2), was selected and statistical ANOVA was applied

$$\mathrm{Y}={\mathsf{\beta }}_0+{\displaystyle \sum }_{\mathrm{i}=1}^{\mathrm{k}}{\mathsf{\beta }}_{\mathrm{i}}{\mathrm{x}}_{\mathrm{i}}+{\displaystyle \sum }_{\mathrm{i}=1}^{\mathrm{k}}{\mathsf{\beta }}_{\mathrm{ii}}{\mathrm{x}}_{\mathrm{i}}^2+{\displaystyle \sum }_{\mathrm{i}=1}^{\mathrm{k}-1}{\displaystyle \sum }_{\mathrm{j}=\mathrm{i}+1}^{\mathrm{k}}{\mathsf{\beta }}_{\mathrm{ij}}{\mathrm{x}}_{\mathrm{i}}{\mathrm{x}}_{\mathrm{j}}+\mathsf{\epsilon }$$

(2)

where Y is the response value (dependent variable); β₀ is the constant; β_i, β_ii and β_ij are the regression coefficients; x_i and x_j are independent variables (i and j represents numbers from 1 to n); and ε is the error term.

The ANOVA analyses results of the model equations derived for μg-β-carotene/g-pumpkin results of MMAE and HAE of β-carotene from the pumpkin samples using DESs are given in Tables S3, S4, S8 and S9. The ANOVA analyses results of the model equations derived for μg-β-carotene/g-spinach results of MMAE and HAE of β-carotene from the spinach samples using DESs are given in Tables S5–S7 and S10–S12. The high F values and p-values < 0.05 indicate that the model equations are suitable and statistically significant for the current experimental data sets.

4. Discussion

4.1. Evaluation of ANOVA Analyses Results

While determining the DES to be synthesized, the interaction of the HBA and HBD, the solubility of the β-carotene (representing carotenoids) in the DESs and selecting HBAs and HBDs within natural compounds were taken into consideration. Being a non-polar and natural compound, L-menthol was selected as the HBA within the scope of this study due to its ability to form DESs that have high capacity to donate and accept protons when compared to common solvents [32]. Acetic acid, propionic acid and butyric acid were selected as the HBDs within the scope of this study due to having carboxylic acids that possess alkyl chains and being naturally found in food and plants.

The F-value in ANOVA is a key statistic that compares the variability between group means to the variability within groups. It is calculated as the ratio of the mean square between (MSB) to the mean square within (MSW). A high F-value indicates that the between-group variance is significantly greater than the within-group variance, suggesting that there are meaningful differences between group means, while a low F value implies that the observed differences are likely due to random chance. The F value is used to test the null hypothesis that all group means are equal, with a large F value (and corresponding low p-value) providing evidence to reject the null hypothesis, while a small F value suggests that the differences are not statistically significant. This makes the F value crucial for determining whether the factors being tested have a significant effect on the response variable. The p-value in statistics is a measure used to assess the strength of evidence against the null hypothesis in hypothesis testing. It represents the probability of obtaining test results at least as extreme as the results actually observed, assuming that the null hypothesis is true. A small p-value (typically ≤ 0.05) indicates strong evidence against the null hypothesis, leading to its rejection, suggesting that the observed effect is statistically significant. Conversely, a large p-value (>0.05) suggests weak evidence against the null hypothesis, meaning that any observed difference or effect could likely be due to random chance, and the null hypothesis is not rejected. The p-value is a fundamental component of inferential statistics, helping researchers make decisions about the validity of their hypotheses.

When the L-menthol:acetic acid DESs were taken into account in the case of MMAE of carotenoids from the pumpkin samples, the most effective parameters (p < 0.0001) were observed to be both the acetic acid molar ratio and its quadratic power (Table S3). The models were found to be not significant for the MMAE and HAE of carotenoids from the spinach samples via utilization of L-menthol:acetic acid DESs (Tables S5 and S10). Even though these models were found to be not significant, the acetic acid molar ratio was the most effective parameter in the HAE of β-carotene from spinach (p < 0.05). For the HAE of carotenoids from the pumpkin samples via utilization of L-menthol:acetic acid DESs, again the acetic acid molar ratio and its quadratic power were found to be the most effective parameters (p < 0.0001), which were followed by homogenization speed and homogenization time (p < 0.05). Additionally, the correlation effect between the acetic acid molar ratio and homogenization speed was found to be significant (Table S8).

When the L-menthol:propionic acid DESs were considered in the MMAE of carotenoids from the pumpkin samples, the most effective parameter was observed to be the second-order power of the propionic acid molar ratio (p < 0.0001), followed by the propionic acid molar ratio and the mixing time. Additionally, the interaction effect between the propionic acid molar ratio and the mixing time was also found to be significant in the MMAE of carotenoids from pumpkin (Table S4). When the L-menthol:propionic acid DESs were considered in the MMAE of carotenoids from the spinach samples, the most effective parameter was observed to be the propionic acid molar ratio (p < 0.05), followed by its quadratic power. No interaction effect between the propionic acid molar ratio and the mixing time was observed (Table S6). For the HAE of carotenoids from the pumpkin samples via utilization of L-menthol:propionic acid DESs, the homogenization time was found to be the most effective parameter (p < 0.0001), which was followed by the propionic acid molar ratio and its second-order power and homogenization speed (p < 0.05). Additionally, the interaction effect between the propionic acid molar ratio and homogenization speed was found to be significant (Table S9). With regards to the HAE of carotenoids from the spinach samples via utilization of L-menthol:propionic acid DESs, the most effective parameter was observed to be the propionic acid molar ratio (p < 0.0001), followed by its quadratic power (p < 0.05). No interaction effect between parameters was observed (Table S11).

The only effective parameter (p < 0.05) was observed to be the mixing time, when the L-menthol:butyric acid DESs are taken into account in the MMAE of carotenoids from the spinach samples. No interaction effect between parameters was observed (Table S7). For the HAE of carotenoids from the spinach samples via utilization of L-menthol:butyric acid DESs, the butyric acid molar ratio was found to be the most effective parameter (p < 0.05), which was followed by the homogenization time and the homogenization speed (p < 0.05). Additionally, the interaction effect between the homogenization time and the homogenization speed was found to be significant (Table S12).

The HBD molar ratio is the most important parameter that can affect the process in this method. This study has also emphasized the significance of that phenomenon.

The polarizability parameter (π*) provides a measure of solvent’s dipolarity and polarizability [33]. The μg-β-carotene/g-pumpkin extracted via L-menthol:acetic acid DESs both by MMAE and HAE were considerably low when compared to L-menthol:propionic acid DESs. The partition coefficient (logP) measures how hydrophilic or hydrophobic a chemical substance is. The higher the logP value, the more hydrophobic the compound is. If the logP > 0, the compound is generally considered as non-polar and if the logP < 0 the compound is generally considered as polar. The logP values of acetic acid and propionic acid are −0.17 and 0.25, respectively [34,35]. This corresponds to the fact that acetic acid is not only a more water-soluble compound than propionic acid, but it also has more affinity to dissolve or be dissolved in polar substances due to having a logP < 0 (solubility in water > solubility in oily substances/mixtures). The DESs produced by acetic acid, then, would have a more polar structure when compared to DESs produced by propionic acid. Since β-carotene is a hydrocarbon and a non-polar compound (logP = 14.764 [36]), the extracted amount of β-carotene via L-menthol:propionic acid DESs was found considerably higher than L-menthol:acetic acid DESs.

In 2018, Florindo et al. reported in their article that the polarizability parameter (π*) value decreases with the increase in the alkyl chain of the HBD [33]. As a result, the increase in the non-polar part of the HBD decreases the overall polarizability of the DESs [33]. In other words, the amount of β-carotene (a non-polar compound) extracted is also expected to decrease with the increase in the alkyl chain of the HBD. Hence, the μg-β-carotene/g-spinach extracted via the L-menthol:propionic acid (1:4) DES was found relatively higher than extracted amount via the L-menthol:butyric acid (1:4) DES. Even though acetic acid’s alkyl chain is smaller than propionic acid, the μg-β-carotene/g-spinach extracted via the L-menthol:acetic acid (1:2) DES was still observed to be less when compared to the L-menthol:propionic acid (1:4) DES. This is, as explained above, considered to be due to the hydrophilic nature of acetic acid with logP < 0 and the hydrophobic nature of the extracted substance, β-carotene. The optimum extraction conditions calculated using the RSM approach and the highest μg-β-carotene/g-pumpkin and μg-β-carotene/g-spinach values observed under these conditions are presented in

Table 5. Optimum β-carotene extraction conditions and maximum response values (predicted vs. actual obtained under these conditions calculated by CCD for DESs in MMAE and HAE of β-carotene from the pumpkin samples.

Extraction Method	DESs (HBA:HBD)	Optimum Extraction Conditions	μg-β-Carotene/g-Pumpkin
			Predicted 1	Actual 2,3,4
MMAE	L-menthol:propionic acid	HBD Molar Ratio: 0.6452 Mixing Time: 15.0 min.	11.528 ± 0.946	10.816 a,A ± 0.044
HAE	L-menthol:propionic acid	HBD Molar Ratio: 0.6198 Homogenization Time: 30.0 s. Homogenization Speed: 7061 rpm	8.966 ± 1.252	8.762 a,A,A ± 0.029

¹ Predicted mean ± predicted standard deviation. ² Experimental data obtained at the conditions which were closest to the optimum extraction conditions. ³ Data are given as mean (three replicates) ± standard deviation. ⁴ Different lowercase letters indicate significant differences (one-way ANOVA, Tukey’s HSD, p < 0.05) among the calculated μg-β-carotene/g-sample and HBD molar ratio. Different uppercase letters indicate significant differences (one-way ANOVA, Tukey’s HSD, p < 0.05) among the calculated μg-β-carotene/g-sample and mixing time. Different bold uppercase letters indicate significant differences (one-way ANOVA, Tukey’s HSD, p < 0.05) among the calculated μg-β-carotene/g-sample and homogenization time. Different underlined italic uppercase letters indicate significant differences (one-way ANOVA, Tukey’s HSD, p < 0.05) among the calculated μg-β-carotene/g-sample and homogenization speed.

and

Table 6. Optimum β-carotene extraction conditions and maximum response values (predicted vs. actual) obtained under these conditions calculated by CCD for DESs in MMAE and HAE of β-carotene from the spinach samples.

Extraction Method	DESs (HBA:HBD)	Optimum Extraction Conditions	μg-β-Carotene/g-spinach
			Predicted 1	Actual 2,3,4
MMAE	L-menthol:propionic acid	HBD Molar Ratio: 0.8000 Mixing Time: 60.0 min.	16.924 ± 3.518	18.990 a,A ± 0.057
HAE	L-menthol:propionic acid	HBD Molar Ratio: 0.8000 Homogenization Time: 120.0 s. Homogenization Speed: 7000 rpm	18.870 ± 3.302	12.177 a,A,A ± 0.118

¹ Predicted mean ± predicted standard deviation. ² Experimental data obtained at the conditions which were closest to the optimum extraction conditions. ³ Data are given as mean (three replicates) ± standard deviation. ⁴ Different lowercase letters indicate significant differences (one-way ANOVA, Tukey’s HSD, p < 0.05) among the calculated μg-β-carotene/g-sample and HBD molar ratio. Different uppercase letters indicate significant differences (one-way ANOVA, Tukey’s HSD, p < 0.05) among the calculated μg-β-carotene/g-sample and mixing time. Different bold uppercase letters indicate significant differences (one-way ANOVA, Tukey’s HSD, p < 0.05) among the calculated μg-β-carotene/g-sample and homogenization time. Different underlined italic uppercase letters indicate significant differences (one-way ANOVA, Tukey’s HSD, p < 0.05) among the calculated μg-β-carotene/g-sample and homogenization speed.

, respectively. With the HAE process, the best β-carotene value for the extraction from spinach was obtained via HAE with the L-menthol:propionic acid (1:4) DES. This was followed by the L-menthol:acetic acid (1:4) DES and the L-menthol:butyric acid (1:4) DES.

The differences in carotenoid extraction from the pumpkin and spinach samples underline the importance of both the plant matrix and the choice of DES composition. The yield differences of the TCC (by means of the μg-β-carotene/g-sample) from pumpkin and spinach using the DESs can be explained by the inherent differences in the composition and structure of pumpkin and spinach tissues, which may facilitate the difference of efficiency of extraction of carotenoids. Generally, a plant body’s cell walls have hydrophobic character due to lignin and the presence of cutin in some tissues, which reduces water loss and makes these tissues more impermeable to water and external substances. This is particularly important in the stem and roots, where the main function is structural support and nutrient uptake. On the contrary, the leaves of a plant are more hydrophilic due to the higher content of cellulose and hemicellulose in the cell walls. This allows for greater interaction with water, supporting the leaf’s function in transpiration and photosynthesis. While the leaf also has a waxy cuticle that helps reduce water loss, the overall cell wall composition is still more hydrophilic compared to the plant body.

When the actual results (Table 2 and Table 3) are evaluated, the average of the TCC in pumpkin via L-menthol:acetic acid DESs is 0.477 μg-β-carotene/g-pumpkin via MMAE, where the average of the TCC in pumpkin L-menthol:propionic acid DESs is 8.241 μg-β-carotene/g-pumpkin. A similar trend was observed in the HAE of carotenoids from pumpkin. The corresponding average values are 0.557 and 5.253 μg-β-carotene/g-pumpkin for L-menthol:acetic acid DESs and L-menthol:propionic DESs, respectively. The effect of the increase in the alkyl chain length of HBD can be observed in the results. However, the drastic difference between the obtained results via two different DES systems can be explained by the more polar and hydrophilic nature of acetic acid (logP < 0) and the more hydrophobic nature of propionic acid (logP > 0) which resulted in better interaction with the hydrophobic nature of cell walls of the pumpkin, the plant’s body. As supporting evidence, the average values of the obtained TCC from spinach is much higher in L-menthol:acetic acid DESs (8.196 and 13.434 μg-β-carotene/g-spinach for MMAE and HAE, respectively) when compared to pumpkin due to the hydrophilic nature of the HBD (acetic acid) since the overall cell wall composition of the leaves is considered to be more hydrophilic compared to the plant body. The average values of the obtained TCC from spinach by MMAE are 8.196, 7.198 and 3.083 μg-β-carotene/g-spinach for L-menthol:acetic acid DESs, L-menthol:propionic DESs and L-menthol:butyric acid DESs, respectively. A similar decreasing average values of the obtained TCC from spinach by HAE was also observed: 13.434, 10.276 and 5.516 μg-β-carotene/g-spinach for L-menthol:acetic acid DESs, L-menthol:propionic DESs and L-menthol:butyric acid DESs, respectively. These results also support that, when the HBD of a DES become more hydrophobic, the extraction power of the DESs for carotenoids decrease when a hydrophilic substrate is used such as spinach leaves whose cell walls have an overall more hydrophilic nature.

This distinction highlights the need for plant-specific optimization when using DESs for carotenoid extraction. While the parameters of time, speed and solvent composition were optimized for both pumpkin and spinach, the differences in the plant matrices themselves necessitate different approaches for efficient extraction. For example, the presence of more hydrophilic components in spinach leaves may result in better extraction efficiencies using more polar DESs like L-menthol:acetic acid DESs, whereas pumpkin may benefit more from the use of L-menthol:propionic acid DESs, which can better interact with the carotenoids (i.e., non-polar β-carotene).

4.2. Optimization

The optimum extraction conditions calculated using the RSM approach and the highest μg-β-carotene/g-pumpkin values observed under these conditions are presented in Table 5. The best yield of TCC (represented as β-carotene) extraction from pumpkin was obtained via MMAE with the L-menthol:propionic acid (1:2) DES. This was followed by the L-menthol:propionic acid (1:2) DES for the HAE process.

The optimum extraction conditions calculated using the RSM approach and the highest μg-β-carotene/g-spinach values observed under these conditions are presented in Table 6. The best TCC (represented by β-carotene) extraction value from spinach was obtained via HAE with the L-menthol:propionic acid (1:4) DES. This was followed by the L-menthol:propionic acid (1:4) DES for the MMAE process.

5. Conclusions

Utilization of deep eutectic solvents (DESs) are still considered to be a relatively young chemical method of extraction. They have a history of slightly over 20 years [37]. Synthesizing DESs with natural and green solvents not only provides an affordable solution for extraction but it is also an environmentally safer approach. In this research work, carotenoids were extracted from pumpkin and spinach via utilization of the synthesized DESs for the first time.

It has been observed that L-menthol:propionic acid (1:2) DES, where propionic acid has the smallest alkyl chain with having a logP > 0, displayed the best effect on the extraction of TCC from the pumpkin samples under the optimal conditions (11.528 μg-β-carotene/g-pumpkin for the MMAE, 8.966 μg-β-carotene/g-pumpkin for HAE). Similarly, the L-menthol:propionic acid (1:4) DES demonstrated the best effect on the extraction of TCC from the spinach samples under the optimal conditions (16.924 μg-β-carotene/g-spinach for the MMAE and 18.870 μg-β-carotene/g-spinach for HAE).

This study also highlighted the need for plant-specific optimization when using DESs for carotenoid extraction. Although the parameters of time, speed and solvent composition were optimized for both pumpkin and spinach, the distinct characteristics of the plant matrices require different methods for effective extraction processes.

The preparation of samples, the synthesis of the DESs and the extraction methods mentioned in this paper are considered to be applicable in the industrial processes, especially for the recovery processes in the biorefinery concept. The preparation of samples is simple and easily applicable with the utilization of industrial-sized choppers. When compared to the prior art, this method offers a saving of resources, which would not be used for the high energy-consuming and costly pre-treatment process such as freeze-drying. Mechanical mixing and homogenization are already used and applied in conventional processes within the industry. Therefore, it would be easier to adapt the recommended method without additional new technological investments. Finally, waste solvent systems of the extraction process would be composed of naturally occurring compounds that are found in plants and are not toxic for the environment. Thus, the work described by this research is considered to be applicable and scalable for industrial use.