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Article

Safety Assessment of Honeys from Northern and Southern Algerian Regions

by
Sofiane Derrar
1,
Vincenzo Nava
2,*,
Mohamed Amine Ayad
1,
Mohamed Said Saim
1,
Hebib Aggad
1,
Irene Maria Spanò
2,
Federica Litrenta
2,
Michelangelo Leonardi
2,
Ambrogina Albergamo
2,
Vincenzo Lo Turco
2,
Angela Giorgia Potortì
2 and
Giuseppa Di Bella
2
1
Laboratoire d’Hygiène et Pathologie Animale, Institut des Sciences Vétérinaires, Université de Tiaret, Tiaret 14000, Algeria
2
Department of Biomedical, Dental and Morphological and Functional Imaging Sciences (BIOMORF), University of Messina, Viale Palatucci, 13, 98168 Messina, Italy
*
Author to whom correspondence should be addressed.
Agriculture 2024, 14(9), 1503; https://doi.org/10.3390/agriculture14091503
Submission received: 17 July 2024 / Revised: 17 August 2024 / Accepted: 28 August 2024 / Published: 2 September 2024
(This article belongs to the Special Issue Organic and Inorganic Contamination in Food: From Farm to Fork)

Abstract

:
Non-European food products often have many safety gaps. Among the various foods imported into Europe, honey, a natural product with important nutritional properties, is easily susceptible to contamination by inorganic elements. For this reason, the mineral profile of monofloral and multifloral honeys from different regions of North (provinces of Tiaret and Laghouat) and South Algeria (province of Tindouf) was monitored. In general, Mg, Fe, Zn, Cd, and Pb levels were found in almost all the samples, exceeding the limits set for honey by the Codex Alimentarius and European Regulation 915/2023. In addition, Algerian honeys were discriminated based on their geographical and botanical origin. The dietary exposure assessment indicates that a small amount of Algerian honey can be safely consumed. However, the data obtained should lead the Algerian government to set regulatory limits on inorganic elements in honey and align with other international standards to create a harmonized network able to improve the safety of this food.

1. Introduction

The Farm to Fork (F2F) strategy is a 10-year plan developed by the European Commission as part of the European Green Deal to promote various efforts to guide the transition to a fair, healthy, and environmentally friendly food system [1]. It focuses on all sources of pollution, such as industrialization and urbanization, the use of chemicals in agriculture, and the leaching of contaminants during food processing, which contribute to the accumulation and transport of pollutants into the environment (air, water, and soil) and then into the food chain. Among the various strategic measures, the F2F strategy also involves the introduction of additional restrictions on agricultural practices to reduce the use of chemical pesticides, fertilizers, and antibiotics.
However, one must consider the large number of non-EU food matrices that are imported into Europe. Indeed, if the European Union has in recent years introduced numerous regulations that regulate and determine which substances are allowed in food and which are not, the same cannot be said for non-EU countries that often produce food products that do not meet safety standards [2]. Therefore, it would be highly advisable to reinforce the reliability and frequency of monitoring procedures for all those food products from non-EU countries. One of the most contaminated food matrices is honey.
The term “honey” denotes the sugary substance produced by bees (Apis mellifera L.) from the nectar of flowers or secretions of living parts of plants or found on them [3,4]. Honey is a food matrix characterized by many organic and inorganic chemical compounds. Its chemical composition, and thus its properties, are linked to the botanical species and the climatic conditions in which the nectariferous plants grow [5,6]. Also, the conditions and quality of water, soil, and air can influence the chemical composition of the honey [7].
The concentration of inorganic elements in honey varies between 0.1 and 0.2% and it is obviously influenced by the environment in which the plant grows, the botanical and geographical origin, and the prevailing seasonal and climatic conditions [8]. However, honey is one of the most susceptible matrices to contamination. In fact, there are also toxic and potentially toxic elements in honey [9]. Lead (Pb), for example, is one of the most dangerous substances because it is present in the atmosphere and can directly contaminate nectar and honeydew. Cadmium (Cd) from the metal industry and incinerators can reach the soil, and hence the plants, and contaminates nectar and honeydew [9]. Given the ease with which honey can be contaminated by toxic and potentially toxic elements, the continuous monitoring of this matrix is necessary to set maximum levels for the most dangerous elements. At the European level, for example, Regulation 915/2023 regulates only Pb in honey by establishing the maximum permissible content at 0.10 mg/kg [10]. The presence of these toxic and potentially toxic elements can be due to different causes. For example, high temperatures and dry climates favor the accumulation of pollutants in hives because there is no ‘leaching’ of toxic or potentially toxic elements from flowers. As a result, bees absorb more of these contaminants. The wind factor is also important since it can carry pollutants for tens of kilometers. Also, the contamination of water, air, and soil allows for the transfer of pollutants to the material collected by the bees and to the bees themselves [11]. As a result, honey can be considered a valid matrix for studying environmental pollution, and its monitoring can help to assess environmental quality and conditions [11]. Moreover, inorganic elements are considered excellent markers to study the traceability (geographical and botanical origin) of honey and to guarantee its quality to the consumer [12,13,14]. Beyond the environment, another contamination source of honey can be found in some incorrect working practices. The materials used as equipment for the harvesting, production, and preparation of honey can in fact release these contaminants [15]. Honey can also be contaminated by storage processes [16].
In Algeria, beekeeping plays a key role in agricultural and rural activities. However, although it is practiced in different regions, the north of the country produces the largest amount, thanks to favorable climatic conditions and, therefore, great floristic biodiversity [17]. This differentiation is correlated to the environmental and geological conditions of Algeria’s territory. In fact, Algeria is divided into two distinct zones: North Algeria, where there are the northern Tell (5%) and the steppe (15%), and South Algeria with the Sahara Desert (80%). The Tell includes a coastal zone (1600 km), plains, and mountains of the Tellian Atlas [18], and it is characterized by a Mediterranean climate that allows for the presence of a very large number of flower species [18]. The steppe includes the high plateaus between 600 and 1200 m, where there is a dry Mediterranean climate and, consequently, fewer species of flowers. The Sahara, instead, has an extremely dry climate, with less flora, and is therefore less favorable for beekeeping [18].
This difference in climate allows for varied flora [19,20,21] and consequently different types of honey in Algeria: in the north, we can find all the flower honeys, citrus, eucalyptus, rosemary, and thyme; further south, other types of honey are harvested such as Spurge, Ziziphus, Thistle, and Peganum Harmala [22,23].
In Algeria, however, there is not a reference regulation on toxic or potentially toxic elements in honey. For this reason, the country takes into consideration the Codex Alimentarius, which sets maximum limits for certain elements in honey: 25 mg/kg for Mg, 15 mg/kg for Fe, 5 mg/kg for Cu and Zn, 0.05 mg/kg for Cd, and 0.01–0.5 mg/kg for As [3,9].
Within this background, the aim of this work was to determine the content of 20 mineral elements (As, Be, Ca, Cd, Co, Cr, Cu, Fe, Hg, Li, Mg, Mn, Mo, Na, Ni, Pb, Sb, Sn, Ti, and Zn) in honeys from North and South Algeria and from different botanical origins, to assess their level and to verify their suitability with respect to the requirements of international standards. In addition, the potential toxicological risk to humans from honey consumption was assessed.

2. Materials and Methods

2.1. Samples

The study was conducted on 54 honeys produced in 2023 by beekeepers located in different parts of Algeria: North Algeria (Laghouat and Tiaret provinces) and South Algeria (Tindouf province) (Figure 1). Tindouf is in the southern part of the Sahara, on the Hammada plateau, and is characterized by high temperatures (>50 °C) in summer and low temperatures (until −5 °C) in winter. Tiaret is located at an altitude of 1000 m, and has a Mediterranean climate with some continental and semi-arid features due to very cold winters [23] and very hot summers (around 40 °C). Finally, Laghouat has a subtropical desert climate with mild winters and very hot and sunny summers.
The code and number of samples, as well as their geographical and botanical origin, are given in Table 1.
The honeys analyzed also differed in their botanical origin. Eight types of multifloral and monofloral honeys (Eruca sativa, Multifloral, Ziziphus lotus, Bunium mauritanicum, Echinops ssp., Eucaliptus globulus, Euphorbia orientalis, and Tamarix L.) were analyzed from the northern part of Algeria. From the province of Tindouf (southern Algeria), four types of monofloral honeys were studied: Echinops spp., Eruca sativa, Euphorbia orientalis, and Peganum harmala (Table 1).

2.2. Chemicals and Reagents

For the pretreatment and digestion of the samples, ultra-pure water, 69% concentrated nitric acid for trace metal analysis, and 30% hydrogen peroxide were used. All reagents were purchased from J.T. Baker (Milan, Italy). Stocks of single-element standard solutions of As, Be, Cr, Cu, Fe, Li, Mo, Ni, Pb, Sb, Sn, Ti, and Zn (1000 mg/L in 2% nitric acid) purchased from Fluka (Milan, Italy) and of Ca, Cd, Co, Mg, Mn, and Na from Merck (Darmstadt, Germany), were used to prepare multi-element standard solutions at a concentration of 100 mg/L for each element, which were used for calibration solutions and method validation. Specifically, seven-point calibration curves were constructed with a concentration between 0.5 and 20 µg/L for As, Be, Cd, Cr, Li, Mo, Ni, Pb, and Sb; between 10 and 200 µg/L for Co, Cu, Fe, Mn, Sn, Ti, and Zn; and between 0.1 and 5 mg/L for Ca, Na, and Mg. A starting standard solution of Re at 1000 mg/L in 2% nitric acid, purchased from Fluka (Milan, Italy), was used to prepare the standard at 0.5 mg/L. A stock standard solution of 45Sc, 73Ge, 115In, and 209Bi at 1000 mg/L in 2% nitric acid (Fluka, Milan, Italy) was used to prepare an on-line internal standard solution at 1.5 mg/L, to correct for matrix deviation and instrumental drift. For the subsequent ICP-MS analysis, a solution containing 1 µg/L of 7Li, 59Co, 138Ba, 209Bi, 142Ce, 115In, and 238U in 2% nitric acid and 0.5% hydrochloric acid, purchased from Thermo Fisher Scientific (Bremen, Germany) and used for instrument calibration, was used. The gases used were argon with a purity of 99.9990% and helium at 99.9995%. A mercury solution (1000 mg/L in 3% hydrochloric acid) was purchased from Merck (Darmstadt, Germany). A 3% HCl solution prepared from concentrated HCl (37%), supplied by Merck (Darmstadt, Germany), was used to clean the DMA-80.

2.3. Inorganic Elements

The preliminary step of the ICP-MS analysis was the acid digestion of the samples by a closed-vessel microwave digestion system (ETHOS 1, Milestone, Bergamo, Italy). This procedure followed the method proposed by Massous et al. [24]. In brief, approximately 0.5 g of each sample was first homogenized at 40 °C and then weighed in closed PTFE vessels. At this point, 1 mL of internal standard Re was added at a concentration of 0.5 mg/L. The reagents used for the mineralization were 65% HNO3 (7 mL) and 30% H2O2 (1 mL). Instrumental parameters for mineralization were as follows: Step 1 consisted of heating the samples in a temperature range between 0 and 200 °C at 1000 W microwave power for 15 min. In step 2, the temperature was kept constant at 200 °C, with the same power and for the same time. The samples were cooled in step 3 for 20 min. The samples were then diluted with ultra-pure water to a final volume of 25 mL and filtered through 0.45 µm filters. Both the solution blank, consisting of 1 mL of Re internal standard at 0.5 mg/L, 8 mL of 65% HNO3, and 2 mL of 30% H2O2, and the samples spiked with known amounts of the analytical standard of every target analyte used for the subsequent calculation of the recovery percentage, were digested under the same mineralization conditions. The iCAP-Q ICP-MS (Thermo Scientific, Waltham, MA, USA) allowed for the determination of the mineral content in all honey samples. Specifically, the following elements were determined: 7Li, 9Be, 23Na, 24Mg, 40Ca, 48Ti, 52Cr, 55Mn, 56Fe, 59Co, 60Ni, 63Cu, 66Zn, 75As, 98Mo, 114Cd, 120Sn, 121Sb, and 208Pb. The operating conditions of ICP-MS are already reported in previous studies [25,26,27] and are listed in Table S1 (see Supplementary Materials).
The Thermo Scientific QtegraTM Intelligent Scientific Data System software (Thermo Scientific, Waltham, MA, USA) was used for data acquisition. For the quantification, a seven-point calibration curve was constructed for quantitative analysis. All experimental analyses were performed in triplicate along with the analysis of the analytical blank.

2.4. DMA-80 Analysis

The mercury content in honey samples was determined by a direct mercury analyzer (DMA-80, Milestone, Bergamo, Italy). The method of analysis followed the EPA 7473 guidelines [28] and the operating conditions already reported in a previous study [29], with some modifications. Briefly, each honey sample (0.1 g) was first dried at 290 °C for 3 min and then thermally decomposed at 650 °C for 5 min. The mercury content was determined at the typical wavelength of 253.7 nm.

2.5. Statistical Analysis

The SPSS 19.0 software package for Windows (SPSS Inc., Chicago, IL, USA) was used to analyze the significance of the results. The non-parametric Mann–Whitney U-test, applied to log-transformed data, allowed for the evaluation of the differences between the honey samples based on geographical origin, with statistical significance at p < 0.05. Conversely, the non-parametric Kruskal–Wallis test was applied to log-transformed data to assess the differences between the honey samples based on botanical origin, with statistical significance at p < 0.05. Some elements, i.e., Co, Ti, As, Ni, Sb, and Sn, were not included in the data set because their concentrations were below the limit of quantification (LOQ) in more than 50% of the total samples analyzed. When the concentrations were below the LOQ in only a few samples, a value of LOD/2 was assigned to the concentrations. In addition, a principal component analysis (PCA) was carried out to explore the sample differentiation in relation to the botanical and/or geographical origin.

2.6. Assessment of Contaminant Exposure through Diet

To determine the quality of the Algerian honeys studied and, consequently, to assess whether their intake may pose a health risk to consumers, their estimated daily intake (EDI) was calculated. The formulas used were the same as those used in an earlier study [15].
Specifically, the EDI values for essential elements were obtained using the following Formula (1):
EDI = C × I
where C is the average concentration of inorganic contaminants found in each sample, expressed in mg/kg, while I is the amount of honey consumed daily (1.8 and 0.3 g/capita/day for Europe and North Africa, respectively), as reported by FAOSTAT data [30]. The obtained EDI values were then compared with dietary reference values for essential elements, based on Directive 1169/2011 and EFSA [31,32].
To calculate the EDI values for toxic and potentially toxic elements, the following formula was employed (2):
EDI = (C × I)/Kgb.w.
where Kgb.w. is the average body weight of the consumer (70 kg). In addition, the EDIs obtained were compared with international safety reference values for toxic and potentially toxic elements [33,34,35,36,37,38,39,40,41,42,43].
Moreover, to assess the plausibility of chronic non-carcinogenic risk, we calculated the hazard quotient (HQ) [25]. Precisely, the HQs were calculated using the Formula (3):
HQ = EDI/RfD
where EDI is the estimated daily intake and RfD is the oral reference dose proposed by the U.S. Environmental Protection Agency (US EPA) [44]: 0.3 µg/Kgbw/day for As; 1 µg/Kgbw/day for Cd; 3 µg/Kgbw/day for Cr; 40 µg/Kgbw/day for Cu; 9 µg/Kgbw/day for Fe; 140 µg/Kgbw/day for Mn; 20 µg/Kgbw/day for Ni; 3.5 µg/Kgbw/day for Pb; 300 µg/Kgbw/day Zn. A value of HQ above 1 is synonymous with a high non-carcinogenic risk.

3. Results and Discussions

3.1. Validation of the ICP-MS and DMA-80 Methods

Both the ICP-MS and DMA methods were validated by determining the linearity, sensitivity, and recovery, according to Eurachem guidelines [45].
Standard solutions prepared at seven concentrations for each analyte (range: 0.5–50 µg/L, except for Hg, range: 1–100 µg/L) were analyzed by checking the linearity between concentrations and signal intensities. Each concentration level was analyzed six times (n = 6). The linearity of the calibration curves was verified by the correlation coefficient (R2).
Sensitivity was assessed by establishing a limit of detection (LOD) and limit of quantification (LOQ) for each of the analytes, determined as 3.3 σ/S and 10 σ/S, respectively, where σ is the standard deviation of the value of ten blanks and S is the slope of the calibration curve.
Recovery tests were performed using three replicates of honey samples at three different fortification levels: 0.1, 0.2, and 0.5 mg/kg for Pb, Ni, Cr, Sb, As, Cd, Sn, and Hg; 0.5, 2.0, and 5.0 mg/kg for Fe, Li, Be, Zn, Ti, Mn, Mo, Cu, and Co; and 0.5, 1.0, and 2.0 g/Kg for Ca, Na, and Mg. Each recovery was calculated in percentage terms and by considering the experimental concentration of the element derived from the sample analysis and the known amount of standard spiked to the sample. The results are reported as mean recovery values (%) between the three different concentration levels.
The repeatability was evaluated by analyzing the spiked samples on the same day (intraday precision) and over a longer period (i.e., 1 week, interday precision).
The values of R2, LOD, LOQ, recovery percentage, and precision are shown in Table S2 (see Supplementary Materials). R2 values > 0.9990 were obtained for all analytes (Table S2), synonymous with optimal linearity. The method also showed good sensitivity, expressed as LOD and LOQ values, calculated as 3.3 σ/b and 10 σ/b, respectively, where σ is the standard deviation of the analytical blank (n = 6) and b is the slope of the calibration curve. Specifically, the LOD and LOQ ranged from 0.001 to 0.003 mg/kg (for As, Cd, and Hg) and from 0.105 to 0.347 mg/kg (for Ca) (Table S2). The lowest and highest mean recoveries were observed for Na (91.85%) and Pb (104.50%) (Table S2), respectively. The intraday and interday precision, expressed as relative standard deviation (RSD%), were less than 1.3% and 1.4%, respectively (Table S2).

3.2. Mineral Elements in Honey Samples

The non-parametric Mann–Whitney U-test and the results, reported in Table 2, Table 3 and Table 4, demonstrated that the mineral element profile was influenced by geographical variables. This is because plants absorb elements from the soil through their roots and, thus, transfer them to the nectar. This absorption capacity is directly connected with the type of plant, and the type of soil in which the plant lives. So, the proximity to industries or traffic areas also plays a fundamental role in the contamination of the nectariferous plant and, thus, bee products. However, the contamination is not only related to the type of plant and the environment in which it grows because, during the foraging phases, the bees come into direct contact with the environment, and this causes a further transfer of mineral elements from the environment (soil, water, and air) to the hive. For this reason, the determination of the element content of honey is of fundamental importance for assessing the possible bioaccumulation of inorganic elements in the environment, and for assessing the possible damage caused by anthropic activities, such as industrial activities and agricultural chemicals, near the apiary. However, attention must also be paid to another factor that may contaminate this matrix, namely the entire production process, in which the use of inappropriate practices and tools may lead to contamination with toxic elements in honey.
The concentrations of macro-elements (Ca, Mg, and Na) in the honey samples are shown in Table 2. In most samples, calcium was the most abundant mineral (range: 73.23 ± 2.15 mg/kg (sample PHTD) and 110.34 ± 10.42 mg/kg (sample TEL)), and this result was consistent with other studies [46]. For North Sahara honeys, those of Laghouat origin showed a higher content of Ca, followed by Mg and Na. This trend agreed with those reported in other studies on honeys from different Algerian areas [19,46]. The trend of Tiaret honeys was Ca > Na > Mg, instead. Only sample PHTD from the Tindouf region showed a different behavior from all the honeys, with Mg being the most abundant, followed by Na and Ca.
Among the regions studied, honeys from North Algeria were characterized by the highest Ca content (mean concentration: 100.52 ± 7.29 mg/kg) compared to those from South Algeria (mean concentration: 83.44 ± 12.86 mg/kg). These differences in Ca content between honeys from northern and southern Algeria were highly significant (Table 2), as shown by the low p-value obtained for this element (0.000). Our samples showed a higher Ca content compared to other studies conducted on honeys from other areas of Algeria, which were not studied in the present work, such as in the case of the study conducted by Haouam et al. (2016) [19], where a range of Ca between 13.20 and 33.51 mg/kg was obtained for multifloral honeys from semi-arid regions of northeastern Algeria. In other cases, our results were comparable to those found in the literature, such as in the case of the study conducted by Bereksi-Reguig et al. (2020) [46] on unifloral and multifloral honeys from different areas of Tlemcen province in northwestern Algeria (mean content: 95.23 mg/kg), and that of Bereksi-Reguig et al. (2022) [47] on honeys from western Algeria (mean content: 113.92 mg/kg). Moreover, Zerrouk et al. (2017) [48] conducted a study on 27 unifloral honeys of Zizphus lotus from different regions of Laghouat and Djelfa in Algeria and obtained a mean Ca concentration of 136.6 mg/kg, higher than ours. Furthermore, when comparing our results with those of honeys from countries other than Algeria, the results were different depending on the geographical and botanical origin of the product: Massous et al. (2023) [24], in their study on honeys from Morocco, found a slightly higher Ca content in euphorbia honey (125.62 ± 1.00 mg/kg) than ours; in the study by Di Bella et al. (2021) [12] on Tunisian honeys, the authors found a higher calcium content in eucalyptus honey (0.17 ± 0.02 g/kg) than in the following study; Perna et al. (2021) [49] carried out a study to determine the mineral content of honeys from the Basilicata region (Italy), where they obtained a Ca content (44.09 ± 16.08 mg/kg) lower than in the Algerian honey studied by us.
The Mg content ranged from 46.29 ± 3.39 mg/kg (BMT sample) to 101.70 ± 3.16 mg/kg (PHTD sample). In general, the average Mg content was higher in South Sahara honeys (mean: 64.28 ± 25.04 mg/kg) than in those from North Sahara (mean: 53.13 ± 12.59 mg/kg). However, the Mg concentrations were well above the upper limit set by the Codex Alimentarius: 25 mg/kg in honey. This high concentration could be due to the possible presence of this element in Algerian soils, but also to the contamination of hives located near industrial areas [50]. Our Mg concentrations were significantly higher than those reported in different studies by Zerrouk et al. (2017) [48] (mean concentration: 22.1 mg/kg) and Haouam et al. (2016) [19] (mean concentration: 2.10 ± 1.23 mg/kg), but lower than those obtained by Bereksi-Reguig et al. (2022) [47] (mean concentration: 100.83 ± 33.88 mg/kg). Furthermore, the Algerian honeys under study contained a significantly higher average amount of Mg than that obtained by Hungerford et al. (2020) [10] (average content: 28.7 ± 19.6 mg/kg), who carried out a study on the mineral characterization of Australian honeys, by Spiric et al. (2019) [51], who studied different Serbian honeys (average concentration of multiflora honey: 28.71 ± 11.12 mg/kg), and by Perna et al. (2021) [49], (average concentration: 19.30 ± 6.43 mg/kg).
The geographical origin of the product also had a great influence on the Na content. The Na concentration ranged from 38.55 ± 1.62 mg/kg (sample EOTD) to 92.11 ± 1.81 mg/kg (sample PHTD). South Sahara honeys had the highest average Na content (70.51 ± 22.67 mg/kg), followed by those from the North Sahara area (63.48 ± 20.00 mg/kg). Habati et al. (2017) [52] reported the Na content of Ziziphus lotus and Peganum Harmala honey in the Laghouat region, with concentrations of 28.67 ± 1.20 mg/kg and 136.20 ± 3.00 mg/kg, respectively. The Na level of Ziziphus lotus honey, in particular, was lower than the Na content found in our samples. In the case of Peganum Harmala honey, the Na content was higher than in the same type of honey from the Tindouf region analyzed in our study. Di Bella et al. (2020) [9], on the other hand, found a mean concentration of Na in multifloral honeys from the Laghouat region (1.07 ± 0.07 g/kg), much higher than ours. Our mean values were higher than those reported by Spiric et al. (2019) [51] (mean concentration in multifloral honeys: 15.30 ± 14.60 mg/kg), but comparable with those reported by Perna et al. (2021) [49] (mean concentration: 49.15 ± 18.39 mg/kg) and by Sakac et al. (2019) [53] in a study of honeys from Vojvodina (Republic of Serbia) (mean concentration: <50 mg/kg).
Table 3 shows the concentration of trace elements in the honey samples analyzed. Lithium (Li), molybdenum (Mo), and beryllium (Be) were also analyzed in this study, but their concentrations are not shown in Table 3 because they were below the LOQ in all samples.
For the micro-elements, the highest contribution was shown by Fe. Its concentrations ranged from 10.76 ± 3.25 mg/kg (sample BMT) to 20.29 ± 5.05 mg/kg (sample EOL). In general, most of these values (more than 50% of the samples) were always higher or close to the maximum level allowed in honey by the Codex Alimentarius (15 mg/kg). A possible explanation may be related to the contamination of materials used in the honey extraction process and the preservation of honey in inappropriate containers [50]. The high Fe content was probably due to the presence of iron mines in the area. As a result, the soil on which the plants grow had higher levels of this element, which was then absorbed by the plant’s roots. The Fe content found in honeys from the North Sahara region (mean concentration: 15.36 ± 3.62 mg/kg) was lower than that reported by Di Bella et al. (2020) [9] on multifloral honeys from the same area, for which average Fe levels of 27.44 ± 0.76 mg/kg were found, but higher than the study of Habati et al. (2017) [52], who showed an Fe content between 0.11 ± 0.52 mg/kg and 0.36 ± 0.47 mg/kg in honey from the Laghouat region. However, all samples showed higher Fe concentrations than other honeys from different countries. For example, Spiric et al. (2019) [51] reported a range of Fe between 0.57 and 7.02 mg/kg in Serbian multifloral honeys; Malhat et al. (2019) [54] showed a range between 0.06 and 5.87 mg/kg in Egyptian honeys; Perna et al. (2021) [49] showed a mean concentration of 1359.48 ± 543.46 µg/kg. This confirms that the environment has a significant impact on the mineral profile of honey.
Zn varied from 6.88 ± 0.20 mg/kg (sample ET) to 16.90 ± 2.60 mg/kg (sample ESTD). Thus, all the honeys had a Zn content above the maximum limit set by the Codex Alimentarius for honey (5 mg/kg). Again, the high levels of Zn found in the honey samples analyzed were related to the important mineral resources in Algeria, including zinc deposits. The Zn content of our samples was higher than that reported by Di Bella et al. (2020) [9] (2.69 ± 0.08 mg/kg) for multifloral honeys from the Laghouat region and by Bereksi-Reguig et al. (2022) [47] (1.44 mg/kg) for multifloral honeys from the Tiaret region. Also, the analyzed honeys had a higher amount of Zn than honeys from other geographical areas, such as Italy (1081.13 ± 350.51 µg/kg) [49], Serbia (3.43 ± 3.39 mg/kg) [51], Morocco (range: 1.41 ± 0.03–6.98 ± 0.51 mg/kg) [24], Tunisia (range: 1.69 ± 0.56–2.81 ± 0.61 mg/kg) [12], and Jordan (1.67 ± 0.785 mg/kg) [55].
The Cu concentration in the honey samples was very variable. Cu levels ranged from <LOQ to 1.03 ± 0.08 mg/kg. However, considering that the Codex Alimentarius established a maximum permissible concentration of 5 mg/kg, our results were well below this limit. The average Cu content was higher in honeys from the North Sahara region (0.66 ± 0.29 mg/kg) than those from South Sahara (0.55 ± 0.13 mg/kg). The Cu values were significantly lower than those obtained by Di Bella et al. [9] (mean concentration 1.56 ± 0.12 mg/kg) and by Bereksi-Reguig et al. (2022) [47] (mean concentration: 4.88 mg/kg), but higher than those shown by Habati et al. (2017) [52] (range: 0.09–0.18 mg/kg). Furthermore, the Cu contents of our honeys were higher than those found in Italian honeys analyzed by Perna et al. (2021) [49] and Meli et al. (2018) [56] (mean Cu content of 236.65 µg/kg and 0.23 mg/kg, respectively), while they were lower than Polish honeys analyzed by Roman et al. (2011) [57], with a mean Cu content of 1.18 ± 0.56 mg/kg. However, our results were comparable to those of Serbian honeys analyzed by Sakac et al. (2019) [53], with Cu levels always below 1 mg/kg.
Other trace elements (i.e., Mn, Cr, Co, and Ti) were detected in Algerian honeys at concentrations ≤1 mg/kg and often below the limit of quantification. A low p-value (0.003) was obtained for Cr, demonstrating the significant difference in the content of this element between honeys from northern and southern Algeria (Table 3).
The Mn showed a range between <LOQ and 0.28 ± 0.04 mg/kg, and these concentrations were much lower than those reported in the research literature for honeys of different geographical origins: Italian honey (mean concentration: 1.83 mg/kg) [56], Moroccan honey (concentration range: 0.57 ± 0.03–4.00 ± 0.11 mg/kg) [24], and Serbian honey (concentration range: 0.08–17.78 mg/kg) [51]. However, our results were also lower than other studies on Algerian honeys; for example, Di Bella et al. [9] determined a mean Mn concentration of 3.03 ± 0.09 mg/kg for multifloral honey from the Laghouat region. However, Latifa et al. (2013) [58], in their study on 27 honey samples from Laghouat, Djelfa, Medea, and El Bayadh, determined a mean Mn concentration of 0.077 ± 0.047 mg/kg for multifloral honeys and 0.069 ± 0.038 mg/kg for Z. lotus honeys, comparable to our results.
Only two samples had a low detected Co concentration; the others had a Co content below the <LOQ. However, the two quantified samples had concentrations comparable to those revealed by Latifa et al. (2013) [58] (0.027 ± 0.015 mg/kg for multifloral honeys and 0.032 ± 0.019 mg/kg for Ziziphus lotus honeys) and by Bereksi-Reguig et al. (2022) [47] (mean concentration for Tiaret honeys: 16.64 µg/kg), but lower than those described by Di Bella et al. [9] (0.37 ± 0.07 mg/kg for Laghouat honeys). Moreover, our results were comparable with Serbian honeys (concentration range: 4.00–78.00 µg/kg) [51], Moroccan honeys (0.01 ± 0.01 mg/kg–0.24 ± 0.11 mg/kg) [24], and Italian honeys (<0.5 mg/kg) [56].
Only two honeys had a quantifiable concentration of Ti. These two honeys had the same botanical origin, i.e., Eruca sativa: 0.52 ± 0.11 mg/kg for sample ESTD; 0.94 ± 0.07 mg/kg for sample EST. This result showed that this plant species had a higher capacity to accumulate this element than the others. However, the Ti levels of Algerian honeys were lower than those obtained by Di Bella et al. [9], who obtained a mean Ti concentration of 1.72 ± 0.04 mg/kg for honey from Laghouat.
Finally, the Cr content ranged from <LOQ in EST and ESTD samples (Eruca sativa) to 0.35 ± 0.07 mg/kg in ET (Echinops ssp). In general, the highest Cr concentration was obtained from North Sahara honeys (mean concentration: 0.21 ± 0.11 mg/kg), followed by South Sahara honeys (mean concentration: 0.11 ± 0.03 mg/kg). Our results were higher than those obtained by Bereksi-Reguig et al. (2022) [47], who found a mean Cr content of 37.61 µg/kg for honeys from the same region. Moreover, our Cr content was comparable to that determined by Di Bella et al. [9] for honey from the same region (0.21 ± 0.01 mg/kg). However, our Algerian honeys showed a higher Cr concentration than honeys from different countries, namely Italy (mean concentration: 17.57 ± 5.53 µg/kg) [49], Serbia (concentration range: 2.00–27.30 µg/kg) [51], and Australia (mean concentration: 0.008 mg/kg) [10].
It is important to study the concentration of toxic elements in honey because this matrix can be used as a bioindicator to determine the presence, and eventually, the degree of environmental pollution [59,60]. In this respect, Table 4 shows the content of toxic and potentially toxic elements in the honey samples studied. Mercury (Hg) was also analyzed in all samples, but its level is not shown in the table because it was always below the LOQ.
Pb was the most abundant toxic element, and its amount was influenced by the geographical rather than the botanical origin. In fact, a p-value < 0.05 was obtained for this element. In general, the content of Pb varied between <LOQ in TEL samples (Tamarix L. and Euphorbia oreintalis L.) and 1.40 ± 0.12 mg/kg in ZT,L sample (Ziziphus lotus). The average Pb level detected in honeys from North Sahara was 0.81 ± 0.52 mg/kg, while that from South Sahara was 0.17 ± 0.10 mg/kg. Our results showed that the Pb levels found in most of the honey samples (except for TEL and PHTD samples) exceeded the limit set by the European Union, and more precisely by EU Regulation 915/2023 [10], which indicates a maximum permissible value of Pb of 0.10 mg/kg. The high Pb content could be related to the air pollution caused by industries and exhaust gases in these Algerian areas, which consequently damages the environment and the products of the neighboring apiaries [9]. The average Pb values obtained for honeys from North Algeria area were higher than those reported by Di Bella et al. [9] (average concentration: 0.43 ± 0.03 mg/kg) and by Bereksi-Reguig et al. (2022) [47] (average Pb content of 91.36 µg/kg). Moreover, the average Pb content of honeys from North Algeria (but not of South Algeria honeys, which were often comparable) was higher than that found in Lithuanian honeys (average Pb content of 0.17 mg/kg) [61], Moroccan honeys (range from 0.06 ± 0.01 mg/kg to 0.16 ± 0.06 mg/kg) [24], Polish honeys (0.190 ± 0.179 mg/kg) [62], and Italian honeys (11.07 ± 5.49 µg/kg) [49].
As was detected in only twelve samples, the others being below the limit of quantification. In general, the As content ranged from 0.01 ± 0.00 mg/kg (sample ZT,L) to 1.57 ± 0.20 mg/kg (sample ET). The Codex Alimentarius established a maximum acceptable level of 10–500 µg/kg. Hence, three samples (BMT, ET and ETD) exceeded the limit. The high presence of As in these samples may be related to the contamination of the sampling areas, due to the employment of non-ferrous metallurgy and agrochemicals, such as fertilizers and arsenic-based pesticides [63]. Di Bella et al. [9] also found very low levels of As (mean: 8.23 ± 0.60 µg/kg) in Laghouat honeys, close to the relative LOQ from this study (0.001 mg/kg). For other countries, the data in the literature are quite variable: Perna et al. [49] and Meli et al. [56] reported low mean As concentrations of 0.96 ± 0.53 µg/kg and <0.1 mg/kg in Italian honey; Massous et al. [24] reported a concentration range between 0.06 ± 0.01 mg/kg and 0.11 mg/kg in Moroccan honey; Spiric et al. [51] reported a mean As content of 1.68 ± 0.96 µg/kg in Serbian multifloral honey.
In our study, Cd was found in all the honeys analyzed, with concentrations ranging from 0.04 ± 0.01 (PHTD sample) to 3.11 ± 0.16 (ET sample) mg/kg. Except for the PHTD sample, these concentrations were higher than the limit of 0.05 mg/kg for Cd established by the Codex Alimentarius. The presence of Cd is common because this element is released into the environment through its use in various industrial processes or fertilizers, or because it is present in mines [64]. In addition, the availability of Cd in soil is influenced by several factors: soil properties, concentration and form of Cd, organic matter content, and soil pH. Consequently, this element can easily enter the food chain through uptake by plants from contaminated soil or water. North Sahara honeys had the highest mean Cd content (1.40 ± 1.09 mg/kg), followed by those from South Sahara (0.47 ± 0.37 mg/kg). These significant differences were demonstrated by the low p-value (0.010) obtained for this element. Our results were very high compared to those reported by Di Bella et al. [9] (22.57 ± 2.33 µg/kg), Bereksi-Reguig et al. (2020) [46] (0.0012 ± 0.0018 mg/kg), and Demaku et al. (2023) [58] (0.013 ± 0.010 mg/kg for multifloral honeys and 0.011 ± 0.005 mg/kg for Z. lotus honeys). Furthermore, our average Cd content was higher compared to Italian honeys (average content: 3.31 ± 2.33 µg/kg) [49], Serbian honeys (concentration range: 1.00–21.00 µg/kg) [51], Moroccan honeys (<0.003 µg/kg) [24], and Polish honeys (average content: 0.025 ± 0.023 mg/kg) [62].
There are no limit values for Ni, Sb, Sn, or Hg in honey. The content of Ni of half of the honeys from the North Sahara region was always below the LOQ, while for the other half of the samples the range of Ni concentration varied from 0.27 ± 0.04 mg/kg (ZT,L sample) to 0.38 ± 0.07 mg/kg (EOL sample). These results were comparable to those obtained by Di Bella et al. [9] (0.31 ± 0.03 mg/kg). For the South Sahara area, the mean concentration of Ni was 0.25 ± 0.12 mg/kg. Among the different honeys analyzed, Euphorbia orientalis had the highest mean Ni content of 0.36 ± 0.03 mg/kg. This study also showed that the Ni content of Algerian honey was comparable to that of Serbian honeys (range: 50.30–551.4 µg/kg) [51], but lower than Italian honeys analyzed by Meli et al. (2018) [56] (mean concentration: 0.56 ± 0.13 mg/kg) and higher than Italian honeys analyzed by Perna et al. (2021) [49] (mean concentration: 32.89 ± 16.02 µg/kg).
Only two samples (BMT and ET), both from the North Sahara region, were quantified for Sb: 0.53 ± 0.05 mg/kg and 0.55 ± 0.08, respectively. For the others, the levels were below the LOQ. This is not comparable with the study by Di Bella et al. [9], who found a mean Sb concentration of 0.09 ± 0.01 mg/kg for the Laghouat area.
Sn concentrations were quite variable (from <LOQ to 0.51 ± 0.07 mg/kg). According to the results obtained, this variation seems to be related to the different floral origins of the honeys. In fact, only a few types of honey showed a quantifiable Sn content: Eucaliptus globulus (EGL sample), 0.34 ± 0.09 mg/kg; Ziziphus lotus (ZT,L sample), 0.10 ± 0.03 mg/kg; Multifloral (MT,L sample), 0. 34 ± 0.05 mg/kg; Echinops spp. (ET and ETD samples), 0.50 ± 0.04 mg/kg and 0.26 ± 0.05 mg/kg; and Bunium mauritanicum (BMT sample), 0.51 ± 0.07 mg/kg.

3.3. Statistical Analysis

3.3.1. Geographical Origin

The results, presented in Table 2, Table 3 and Table 4, showed that significant differences were observed for only four variables: Ca, Cd, Cr, and Pb. As a result, the data set subjected to PCA included all the experimental data coming from these four variables, and it was normalized to achieve independence of the element concentrations from the scale factors of the different variables.
First, the data eligibility for PCA was verified: the determinant value was 0.317; the Bartlett’s test of sphericity had a significance of 0.000, confirming that there was a patterned relationship among the variables; and the Kaiser–Meyer–Olkin measure (KMO) of sampling adequacy was 0.539, showing the sampling adequacy.
Two principal components (PCs) with eigenvalues exceeding one (2.060 and 1.110) were extracted according to the Kaiser Criterion, and they explained up to 79.25% of the total variance (i.e., 51.49% and 27.76%, respectively). Figure 2 illustrates the bidimensional score (Figure 2a) and loading plots (Figure 2b). Overall, the score plot showed a satisfactory clusterization of honey samples in relation to the different geographical origins, with some exceptions. In fact, a clear distinction was observed between most honeys from the north and south of Algeria. However, for some samples, this geographical distinction was not observed, and it was speculated that this could be due to the same botanical origin of the honeys analyzed (see Section 3.3.2).
However, by superimposing the bidimensional score and the loading plots, it could be observed that almost all the honeys from southern Algeria, located in the third quadrant of the bidimensional score, were characterized by a lower Ca and Cr content than the honeys from northern Algeria. On the other hand, honeys from northern Algeria did not show a homogenous distribution in the bidimensional space, being present in the first, second, and fourth quadrants. This allowed us to observe how the concentration of Pb and Cd, and therefore the possible contamination of the northern Algerian honey samples, varied according to the geographical origin of the product.

3.3.2. Botanical Origin

The significant differences in mineral concentration values among the honey samples from different botanical origin were estimated by the Kruskal–Wallis test with a significant p-level below 0.05. The results showed that significant differences were observed for ten variables: Fe, Mg, Zn, Cr, Mn, Pb, Cu, Cd, Ca, and Na. Four principal components (PCs) with eigenvalues exceeding one (3.081, 2.254, 1.563, and 1.339) were extracted according to the Kaiser Criterion, and they explained up to 82.37% of the total variance (i.e., 30.81%, 22.54%, 15.63, and 13.39%, respectively). In Figure 3, the bidimensional score (Figure 3a) and loading plots (Figure 3b) are shown. Botanical discrimination was not as satisfactory as geographical discrimination. However, from the superimposition of the bidimensional score and the loading plots, the distribution of the investigated honeys in relation to the element contents could be observed. For example, it may be argued that the honey from the botanical species Euphorbia orientalis (EO) was the one with the highest content of Mg and Fe, together with the Multifloral honey (M). Multifloral honey (M) was also characterized by the highest concentrations of Na, Ca, Cd, and Cu, together with Echinops ssp (E) and Bunium mauritanicum (BM) honeys. In addition, the highest contribution of Zn was obtained for Eruca sativa (ES), Tamarix L. and Euphorbia orientalis (TE), and Ziziphus lotus (Z) honeys. The latter honey also had the highest concentrations of Cr, Mn, and Pb, together with Eucaliptus globulus (EG) and Peganum harmala (PH) honeys.

3.4. Uptake of Elements by Honey Samples

Another aim of this study was to assess the potential toxicological risk to humans from honey consumption and, consequently, to determine the quality of these Algerian honeys. This was possible thanks to the calculation of estimated daily intake for essential elements (Table 5) and toxic and potentially toxic elements (Table 6). The former was calculated considering FAOSTAT data [30], according to which the amount of honey consumed in Europe is 1.8 g/day, while in North Africa it is 0.3 g/day, and compared with dietary reference values for essential elements, while the latter was calculated by considering international safety reference values for toxic and potentially toxic elements. To calculate the EDIs, we considered a daily honey consumption for an adult of 70 kg.
For all the elements analyzed, the average exposure levels were very low in relation to the reference value. This result was probably due to the low amounts of honey consumed in European and North African diets (1.8 and 0.3 g/capita/day, respectively). The calculated EDIs (Table 6) were well below the intake levels of the regulated inorganic contaminants, indicating that Algerian honey can be safely consumed in the intended dietary amounts. However, two possible factors must be considered: people who consume larger amounts of honey per day than reported in the FAOSTAT data, and a regular consumer of honey who consumes other contaminated foods in their diet may exceed the exposure limits. Therefore, the continuous monitoring of mineral content in food is of paramount importance to protect the health of the consumer.
For the non-carcinogenic risk assessment, the HQ did not exceed the threshold of 1 for any contaminant potentially ingested through honey by adults in both European and North African diets, indicating that non-carcinogenic health effects from the consumption of these Algerian honeys are not significant.

4. Conclusions

Honey is one of the most imported foods in Europe from non-EU countries and, at the same time, one of the most susceptible matrices to contamination. In view of the numerous regulations introduced in the European Union, but not in non-EU honey-producing countries, and the poor compliance of non-EU products with safety standards, monitoring studies are essential to reduce the inorganic contamination of this matrix and, consequently, to minimize the risks to consumers. In addition, continuous monitoring may be essential to evaluate the pollution state of honey production areas.
The present study determined the content of 20 mineral elements (As, Be, Ca, Cd, Co, Cr, Cu, Fe, Hg, Li, Mg, Mn, Mo, Na, Ni, Pb, Sb, Sn, Ti, and Zn) in honeys from the northern and southern regions of Algeria and from different botanical origins, in order to assess their level of contamination and verify their suitability with respect to the requirements of international standards.
Most of the honeys analyzed exceeded the Codex Alimentarius limits for Mg, Fe, Zn, and Cd. In addition, in almost all samples the Pb content was also above the EU regulatory limits for honey.
Statistical analysis and PCA pointed out that honey samples could be discriminated more effectively in relation to the geographical provenance than the botanical origin.
Generally, the average levels of element intake or exposure derived from the consumption of the studied honeys were very low with respect to the respective reference value.
For the non-carcinogenic risk assessment, the HQ did not exceed the threshold of 1 for any potentially toxic element. This result indicates that the non-carcinogenic health effects from the consumption of these Algerian honeys are negligible.
Hopefully, this study can provide greater impetus for the establishment of new international policies aimed at the harmonization of food safety standards.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/agriculture14091503/s1. Table S1. ICP-MS operating conditions; Table S2. Analytical validation of ICP-MS and DMA-80 method.

Author Contributions

Conceptualization, S.D.; methodology, V.L.T. and A.G.P.; validation, V.N., I.M.S., and F.L.; formal analysis, V.N., I.M.S., and F.L.; investigation, M.A.A., M.S.S., H.A., and M.L.; data curation, V.N., I.M.S., and F.L.; writing—original draft preparation, V.N. and A.A.; writing—review and editing, V.N. and A.A.; supervision, G.D.B. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board 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 authors.

Conflicts of Interest

The authors declare no conflicts of interest.

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Figure 1. Map of the different Algerian areas considered for the honey sampling.
Figure 1. Map of the different Algerian areas considered for the honey sampling.
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Figure 2. Bidimensional score (a) and loading plot (b) for honey samples categorized by geographical origin.
Figure 2. Bidimensional score (a) and loading plot (b) for honey samples categorized by geographical origin.
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Figure 3. Bidimensional score (a) and loading plot (b) for honey samples categorized by botanical origin.
Figure 3. Bidimensional score (a) and loading plot (b) for honey samples categorized by botanical origin.
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Table 1. Honey samples under study.
Table 1. Honey samples under study.
AreaCode
Samples
N. of SamplesGeographical
Origin
Botanical
Origin
North
Algeria
EST3TiaretEruca sativa
MT,L9Tiaret/LaghouatMultifloral
ZT,L9Tiaret/LaghouatZiziphus lotus
BMT3TiaretBunium mauritanicum
ET3TiaretEchinops ssp.
EGL3LaghouatEucaliptus globulus
EOL6LaghouatEuphorbia orientalis
TEL3LaghouatTamarix L. and Euphorbia orientalis
South
Algeria
ESTD6TindoufEruca sativa
EOTD3TindoufEuphorbia orientalis
ETD3TindoufEchinops spp.
PHTD3TindoufPeganum harmala
Total54
Table 2. Macro-element contents (mg/kg) in honey samples. Bold p-values are statistically significant (p < 0.05).
Table 2. Macro-element contents (mg/kg) in honey samples. Bold p-values are statistically significant (p < 0.05).
Sample CodeGeographical OriginCaMgNa
ESTNorth Sahara108.16 ± 9.45 a55.17 ± 3.4585.89 ± 6.99
MT,L100.85 ± 5.51 a,b,c57.57 ± 10.8967.26 ± 21.59
ZT,L96.63 ± 4.79 a,b,d68.12 ± 13.6755.23 ± 15.42
BMT105.27 ± 6.06 a46.29 ± 3.3988.13 ± 8.52
ET100.33 ± 5.57 a,b,c,d48.16 ± 3.4582.24 ± 6.39
EGL89.23 ± 6.19 b,c,d,f72.13 ± 8.1242.78 ± 7.02
EOL93.33 ± 7.41 a,b,d,f80.90 ± 5.8543.93 ± 5.55
TEL110.34 ± 10.42 a49.88 ± 3.1242.39 ± 5.82
ESTDSouth Sahara75.03 ± 5.52 e,g54.75 ± 11.2875.27 ± 2.89
EOTD84.14 ± 2.53 d,f51.17 ± 4.6738.55 ± 1.62
ETD101.34 ± 4.61 a,b,d49.50 ± 1.9476.10 ± 2.46
PHTD73.23 ± 2.15 e,g101.70 ± 3.1692.11 ± 1.81
p-Value 0.0000.4930.302
a–g: Different superscript letters in the same column indicate significantly different values (p ≤ 0.05 by Tukey’s post hoc HSD test); the same superscript letters in the same column indicate non-significantly different values (p > 0.05 by Tukey’s post hoc HSD test).
Table 3. Micro-element contents (mg/kg) in honey samples. Bold p-values are statistically significant (p < 0.05).
Table 3. Micro-element contents (mg/kg) in honey samples. Bold p-values are statistically significant (p < 0.05).
Sample
Code
Geographical
Origin
FeCoCrCuMnTiZn
ESTNorth Sahara11.33 ± 2.92<LOQ<LOQ<LOQ<LOQ0.94 ± 0.077.92 ± 0.40
MT,L17.53 ± 8.330.04 ± 0.010.32 ± 0.11 a,b,c,d,e,f0.72 ± 0.080.04 ± 0.01<LOQ14.57 ± 0.69
ZT,L17.69 ± 5.51<LOQ0.17 ± 0.10 a,b,d,e,f0.47 ± 0.070.06 ± 0.01<LOQ8.45 ± 0.96
BMT10.76 ± 3.25<LOQ0.30 ± 0.06 a1.03 ± 0.080.06 ± 0.02<LOQ10.31 ± 0.31
ET12.45 ± 2.37<LOQ0.35 ± 0.07 a0.80 ± 0.040.05 ± 0.01<LOQ6.88 ± 0.20
EGL18.54 ± 4.59<LOQ0.19 ± 0.05 a,b,d,e0.29 ± 0.080.05 ± 0.01<LOQ11.51 ± 0.20
EOL20.29 ± 5.05<LOQ0.14 ± 0.04 a,b,d,e,f<LOQ<LOQ<LOQ8.77 ± 0.39
TEL14.31 ± 3.14<LOQ0.04 ± 0.01 a,c<LOQ<LOQ<LOQ9.71 ± 0.17
ESTDSouth Sahara13.03 ± 3.60<LOQ<LOQ<LOQ<LOQ0.52 ± 0.1116.90 ± 2.60
EOTD18.52 ± 1.32<LOQ0.10 ± 0.03 a,b,d,e,f<LOQ<LOQ<LOQ9.97 ± 0.37
ETD13.93 ± 0.64<LOQ0.15 ± 0.04 a,b,d,e,f0.46 ± 0.070.06 ± 0.02<LOQ8.11 ± 0.51
PHTD19.19 ± 0.340.03 ± 0.010.08 ± 0.03 a,b,d,e,f0.64 ± 0.040.28 ± 0.04<LOQ7.43 ± 0.27
p-Value 0.877-0.0030.1320.791-0.344
a–f: Different superscript letters in the same column indicate significantly different values (p ≤ 0.05 by Tukey’s post hoc HSD test); the same superscript letters in the same column indicate non-significantly different values (p > 0.05 by Tukey’s post hoc HSD test).
Table 4. Toxic and potentially toxic element contents (mg/kg) in honey samples. Bold p-values are statistically significant (p < 0.05).
Table 4. Toxic and potentially toxic element contents (mg/kg) in honey samples. Bold p-values are statistically significant (p < 0.05).
Sample
Code
Geographical
Origin
AsCdNiPbSbSn
ESTNorth Sahara<LOQ0.29 ± 0.12a<LOQ0.17 ± 0.01 a<LOQ<LOQ
MT,L0.21 ± 0.051.15 ± 0.85 a,d,e,f,g0.33 ± 0.030.67 ± 0.44 a,b,c,f<LOQ0.34 ± 0.05
ZT,L0.01 ± 0.001.10 ± 0.81 a,d,e,f,g0.27 ± 0.041.40 ± 0.12 d,e<LOQ0.10 ± 0.03
BMT1.09 ± 0.163.03 ± 0.19 b,c<LOQ1.08 ± 0.08 a,b0.53 ± 0.050.51 ± 0.07
ET1.57 ± 0.203.11 ± 0.16 b,c<LOQ0.79 ± 0.06 a,c0.55 ± 0.080.50 ± 0.04
EGL<LOQ1.25 ± 0.12 a,d0.31 ± 0.041.38 ± 0.08 d,e<LOQ0.34 ± 0.09
EOL<LOQ0.89 ± 0.12 a,e,g0.38 ± 0.070.17 ± 0.04 a<LOQ<LOQ
TEL<LOQ0.36 ± 0.11 a<LOQ<LOQ<LOQ<LOQ
ESTDSouth Sahara<LOQ0.51 ± 0.06 a,f<LOQ0.16 ± 0.02 a<LOQ<LOQ
EOTD<LOQ0.38 ± 0.06 a0.33 ± 0.030.21 ± 0.03 a,f<LOQ<LOQ
ETD1.13 ± 0.090.94 ± 0.13 a,e,g<LOQ0.27 ± 0.05 a,f<LOQ0.26 ± 0.05
PHTD0.02 ± 0.010.04 ± 0.01 h0.17 ± 0.060.04 ± 0.01 g<LOQ<LOQ
p-Value -0.010-0.038--
a–h: Different superscript letters in the same column indicate significantly different values (p ≤ 0.05 by Tukey’s post hoc HSD test); the same superscript letters in the same column indicate non-significantly different values (p > 0.05 by Tukey’s post hoc HSD test).
Table 5. Experimental EDIs, RDA% (or AI%), and UL% calculated for the different Algerian honeys with respect to the reference values for essential elements.
Table 5. Experimental EDIs, RDA% (or AI%), and UL% calculated for the different Algerian honeys with respect to the reference values for essential elements.
EDI
(mg/d or µg/d *)
RDA [31]
(mg/d or µg/d *)
AI [32]
(mg/d)
AR [32]
(mg/d)
PRI [32]
(mg/d)
UL [32]
(mg/d)
% RDA
or AI
% UL
North SaharaSouth Sahara
MgEurope9.54 × 10−21.15 × 10−1 a375 a350 250 a0.030.05
North Africa1.59 × 10−21.92 × 10−2 a0.010.01
CaEurope1.82 × 10−1 a1.49 × 10−1800 a 86010002500 a0.020.01
North Africa3.03 × 10−2 a2.49 × 10−20.000.00
NaEurope1.15 × 10−11.28 × 10−1 a 2000 a 0.01
North Africa1.92 × 10−22.13 × 10−2 a0.00
FeEurope2.70 × 10−22.88 × 10−2 a14 a 611 0.21
North Africa4.50 × 10−34.80 × 10−3 a0.03
CuEurope1.19 × 10−3 a9.90 × 10−41 a1.6 5a0.120.02
North Africa1.98 × 10−4 a1.65 × 10−40.020.00
CrEurope3.78 × 10−1 a*1.98 × 10−1 *40 a* 0.95
North Africa6.30 × 10−2 a*3.30 × 10−2 *0.16
MnEurope9.00 × 10−53.06 × 10−4 a2 a3 0.01
North Africa1.50 × 10−55.10 × 10−5 a0.00
ZnEurope1.76 × 10−21.98 × 10−2 a10 a 7.5-9.3-11-12.7 b9.4-11.7-14-16.3 b25 a0.200.08
North Africa2.93 × 10−33.30 × 10−3 a0.030.01
MoEuropen.d.n.d.45 *
[65]
2
[65]
North African.d.n.d.
LiEuropen.d.n.d.1
[66]
North African.d.n.d.
a RDA (or AI) and UL reference value used for the calculation of experimental RDA% and UL%; b ARs and PRIs for Zn are provided for four levels of phytate intake (LPI): 300, 600, 900, and 1200 mg/day. Abbreviations: EDI, estimated dietary intake; RDA, recommended dietary allowance; AI, adequate intake; AR, average requirement; PRI, population reference intake; UL, tolerable upper intake level; n.d., not detected. EDI and RDA in µg/d are indicated with *.
Table 6. Experimental EDIs, TDI% (or TWI%, BMDL01%, PTWI%), and UI% (or PMTDI) calculated for the different Algerian honeys with respect to reference values for toxic and potentially toxic elements.
Table 6. Experimental EDIs, TDI% (or TWI%, BMDL01%, PTWI%), and UI% (or PMTDI) calculated for the different Algerian honeys with respect to reference values for toxic and potentially toxic elements.
EDI
(µg/kgb.w./d)
TDI
(µg/kgb.w./d)
TWI (µg/kgb.w./w)BMDL01 (µg/kgb.w./d)PTWI (µg/kgb.w./w)UI (µg/kgb.w./w)PMTDI (µg/kgb.w./d)% TDI or TWI or BMDL01 or PTWI% UI or PMTDI
North
Sahara
South
Sahara
AsEurope2.57 × 10−2 a1.54 × 10−2 0.3 a-8
[33]
15
[40]
8.57
North Africa4.3 × 10−3 a2.6 × 10−31.43
BeEuropen.d.n.d.no reference values
North African.d.n.d.
CdEurope3.60 × 10−2 a1.21 × 10−2 2.5 a
[35]
7
[42]
10.08
North Africa6.00 × 10−3 a2.01 × 10−31.68
CoEurope1.03 × 10−3 a7.71 × 10−4 1.6 a
[37]
0.45
North Africa1.71 × 10−4 a1.29 × 10−4 0.07
CuEurope2.57 × 10−2 a1.54 × 10−2 3500 a
[67]
500 a
[67]
0.0050.005
North Africa4.29 × 10−3 a2.36 × 10−30.0010.001
MnEurope1.29 × 10−34.37 × 10−3 a 2500 a
[67]
360 a
[67]
0.0010.001
North Africa2.14 × 10−47.29 × 10−4 a0.00020.0002
NiEurope8.23 × 10−3 a6.43 × 10−322 a
[43]
2.8 a
[38]
0.042.06
North Africa1.37 × 10−3 a1.07 × 10−3 0.010.34
PbEurope2.08 × 10−2a4.37 × 10−3 0.5 a
[34]
25
[41]
4.16
North Africa3.47 × 10−3 a7.29 × 10−4 0.69
SbEurope1.39 × 10−2 an.d. 6 a 1.62
North Africa2.31 × 10−3 an.d. 0.27
SnEurope9.26 × 10−36.69 × 10−3no reference values
North Africa1.54 × 10−31.11 × 10−3
TiEurope2.42 × 10−21.34 × 10−2no reference values
North Africa4.03 × 10−32.23 × 10−3
ZnEurope2.52 × 10−12.73 × 10−1 a 7000 a
[67]
1000 a
[67]
0.030.03
North Africa4.20 × 10−24.54 × 10−2 a 0.0050.005
HgEuropen.d.n.d. 4
[36]
5
[39]
North African.d.n.d.
a TDI (or TWI, or BMDL01, or PTWI) and UI (or PMTDI) reference values used for the calculation of experimental TDI% (or TWI%, or BMDL01%, or PTWI%) and UI% (or PMTDI%). Abbreviations: EDI, estimated daily intake; TDI, tolerable dietary intake; TWI, tolerable weekly intake; BMDL01, benchmark dose lower confidence limit 01; PTWI, provisional tolerable weekly intake; UI, tolerable upper intake level; PMTDI, provisional maximum tolerable daily intake; n.d., not detected.
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Derrar, S.; Nava, V.; Ayad, M.A.; Saim, M.S.; Aggad, H.; Spanò, I.M.; Litrenta, F.; Leonardi, M.; Albergamo, A.; Lo Turco, V.; et al. Safety Assessment of Honeys from Northern and Southern Algerian Regions. Agriculture 2024, 14, 1503. https://doi.org/10.3390/agriculture14091503

AMA Style

Derrar S, Nava V, Ayad MA, Saim MS, Aggad H, Spanò IM, Litrenta F, Leonardi M, Albergamo A, Lo Turco V, et al. Safety Assessment of Honeys from Northern and Southern Algerian Regions. Agriculture. 2024; 14(9):1503. https://doi.org/10.3390/agriculture14091503

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Derrar, Sofiane, Vincenzo Nava, Mohamed Amine Ayad, Mohamed Said Saim, Hebib Aggad, Irene Maria Spanò, Federica Litrenta, Michelangelo Leonardi, Ambrogina Albergamo, Vincenzo Lo Turco, and et al. 2024. "Safety Assessment of Honeys from Northern and Southern Algerian Regions" Agriculture 14, no. 9: 1503. https://doi.org/10.3390/agriculture14091503

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