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Assessment of quality characteristics of Saudi honeys: Distinctive and rare types
Corresponding author: Email address: hraweh@ksu.edu.sa (Hael S.A. Raweh)
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Received: ,
Accepted: ,
Abstract
The present study aimed to determine the quality of twelve Saudi honey samples by examining various physico-chemical characteristics. These characteristics included total dissolved solids (TDS), total soluble solids (TSS), moisture content (MC), pH level, free acidity (FA), electrical conductivity (EC), hydroxymethylfurfural (HMF), and diastase activity (DN). The honey samples’ physicochemical characteristics ranged throughout the following values: TDS ranged from 180±1.15 to 920±0.88 ppm; TSS ranged from 82.3±0.03 to 84.9±0.07 %; MC ranged from between 15.1±0.07% and 18±0.03%; pH levels varied from 3.1±0.03 to 7±0.00; FA ranged from 24±0.33 to 77±0.88 meq/kg; EC varied between 0.19±0.00 and 1.27±0.01 mS/cm; HMF ranged from 1±0.33 to 41±0.33 mg/kg; and DN spanned from 8±0.07 to 23±0.33. The results show that the physicochemical characteristics of the samples met both national and international standards except for free acidity. Notably, locally obtained Acacia spp. nectar honey exhibited naturally elevated FA values, exceeding the standard limit (≤50 meq/kg). This study highlights the quality of local Saudi honeys and underscores the importance of nurturing the production of rare honeys that possess high quality and health benefits in Saudi Arabia.
Keywords
Honey
Local Saudi honey
Physicochemical properties
Saudi Arabia
1. Introduction
Honey is a complex mixture of substances, composed of around 80% carbohydrates (35% glucose, 40% fructose, and up to 5% sucrose) and 20% water. It is rich in over 200 components such as amino acids, vitamins, minerals, enzymes, organic acids, and phenolic compounds, making it an excellent source of energy (Tanuğur Samanci et al., 2024). These compounds can be introduced by bees or come directly from nectar due to the ripening process (Roshan et al., 2017). Since ancient times, honey has been cherished for its numerous health benefits, which stem from its unique physical and chemical properties, depending on the plant sources which bees can obtain nectar from, these traits can differ greatly. Different plants impart distinct flavors, colors, and even therapeutic qualities to honey (Baroni et al., 2009; Lacerda et al., 2010). The location of production, environmental factors, soil type, weather, and beekeepers’ procedures all affect the honey’s electrical conductivity (EC), moisture content (MC), free acidity (FA), pH value, color, hydroxymethylfurfural (HMF) content, and sugar composition. (Baroni et al., 2009).
Numerous investigations have shown that the chemical and physical characteristics of honey are strongly related to its botanical origin; several of these substances may serve as indicators to pinpoint a plant’s origin. (Devillers et al., 2004; Raweh, Ahmed, et al., 2022; Terrab et al., 2004). Saudi Arabia is rich in a diversity of plants, including floral plants, desert vegetation, as well as seasonal and annual herbs (Alqarni et al., 2017).
Physicochemical analyses that measure a variety of characteristics, including MC pH, EC, sugar content, acidity, color, HMF, and enzyme activity, can be used to evaluate the quality of honey. These indicators reveal the honey’s composition, purity, and quality assessment. (Alqarni et al., 2016; Pilizota and Tiban, 2009; Raweh, Badjah-Hadj-Ahmed, et al., 2022).
Despite the fact that honey is commonly utilized in Saudi Arabia for its nutritional and medicinal benefits, few studies have been conducted there to assess its quality. (Mohammed et al., 2017; Alqarni et al., 2016; Alqarni et al., 2014). Honey is more popular in Saudi Arabia due to its use in food, medicine, and natural mixtures. Without quality indicators, local honey varieties are exchanged, which could result in adulteration. Therefore, it is crucial to compare these honeys with quality criteria. In this regard, official authorities in Saudi Arabia are supporting the growth of the honey trade (Alotibi et al., 2018; Raweh et al., 2023). There are rare and distinctive honeys in Saudi Arabia whose properties have not been extensively studied yet. That’s why this study analyzed physicochemical parameters including MC, total soluble solids (TSS), total dissolved solids (TDS), pH, EC, FA, HMF, and Diastase activity (DN) to verify the origin and unique characteristics of honey from Saudi Arabia.
2. Materials and Methods
The studies were carried out in 2023 at King Saud University’s Melittology and Honey Quality Research Lab, Department of Plant Protection, College of Food and Agriculture Sciences, Riyadh, KSA. The Association of Official Analytical Chemists’ official standard methodologies were followed in the analysis of the honey samples’ physiochemical properties (AOAC, 1990). Physicochemical parameters such as MC, TSS, TDS, pH value, HMF, DN, EC, FA, and total sugar content were all evaluated in these tests.
2.1 Honey samples
Twelve samples of local honey were gathered from Saudi Arabia from apiaries as shown in Table 1. Prior to analyses, the samples were stored at room temperature in the dark. All Physicochemical parameters were measured in triplicate to ensure the accuracy of the reported data.
| Sample no. | Honey’s local name |
Nominated scientific name (Most common plant source) |
|---|---|---|
| 1 | Athel | Tamarix spp. |
| 2 | Qaisum | Achillea spp. |
| 3 | Shaflah | Capparis spp. |
| 4 | Damkh | Hypericum spp. |
| 5 | Ashr | Calotropis spp. |
| 6 | Moringa | Moringa spp. |
| 7 | Baka | Euphorbia spp. |
| 8 | Basbas | Anisosciadium spp. |
| 9 | Mangrove | Avicennia spp. |
| 10 | Talh | Acacia gerrardii |
| 11 | Sidr | Ziziphus spp. |
| 12 | Salam | Acacia ehrenbergiana |
2.2 Physicochemical analyses
The main characteristics of honey, including its pH, EC, color, moisture, TSS, DN, FA, and HMF were measured in accordance with the AOAC (958.09-1977, 2010). For every parameter, each sample was examined in triplicate, and the average values were determined.
2.3 Moisture content
The refractometric method was used to determine the MC. Generally speaking, when a sample’s solid content rises, so does its refractive index. A refractometer (Hammann® honey refractometer, Germany) was used to measure the refractive indices of honey samples at room temperature. After carefully mixing the samples and placing a drop of honey on the refractometer’s lens, the lid was gently closed to guarantee that the sample was distributed evenly and that there were no air bubbles on the lens. Then the refractometer was held towards the light, and the position of the interface was recorded. Between the testing of each sample, the refractometer was cleaned and dried. The MC was measured in triplicate (AOAC, 1990).
2.4 Determination of total soluble solids
The TSS content of the honey samples was determined using a refractometer (Hammann® honey refractometer, Germany). After that, distilled water was used to clean the prism of refractometer and a soft tissue was used to dry it. A drop of the honey sample was placed on the prism of the portable refractometer to take the measurement. (AOAC, 1990).
2.5 Total dissolved solids
We used an HI 98311 conductivity meter (Hanna Instruments, Romania) to measure the TDS levels in a 20% (w/v) honey solution suspended in distilled water. TDS concentration was reported in ppm (AOAC, 2000).
2.6 Electrical conductivity
To evaluate the EC, a Hanna® pH/PPM Meter HI-9813-6N was used. Following initial calibration with deionized water, the conductivity meter was submerged in a 10.0% honey solution, and measurements were obtained once the device stabilized (AOAC, 2002).
2.7 pH value
The Hanna® pH/PPM Meter Hi-9813-6N was used to measure the pH of honey samples 75 milliliters of deionized water were used to dissolve 10 (g) of honey for this procedure. Following the transfer of the resultant honey solution to a beaker, the pH reading was taken straight from the device once the meter stabilized (AOAC, 2002).
2.8 Free acidity
Titrimetric analysis was used to determine the free acidity. 75 milliliters of deionized water were used to dissolve 10 (g) of honey. The pH of the produced honey solution was then raised to 8.5 by titrating it with 0.05 N sodium hydroxide (NaOH). Using meq/kg, the final acidity number was determined. (AOAC, 1990).
2.9 Hydroxymethylfurfural
HMF was determined according to AOAC (1990). HMF was evaluated. Five grams of honey and 25 ml of water were added to a 50 ml volumetric flask. The mixture was then brought up to a total volume of 50 ml with water after adding 0.5 ml of Carrez solution 1 (made by dissolving 15 g of potassium ferrocyanide K4Fe(CN)6∙3H2O in deionized water and diluting to a final volume of 100 ml) and 0.5 ml of Carrez solution II (made by dissolving 30 g of zinc acetate Zn (CH3CO2)2∙2H2O in deionized water and then diluting to a final volume of 100 ml). The first 10 ml of the filtrate were discarded after the solution was passed through filter paper. Two distinct test tubes were filled with portions of 5 ml each. One test tube was treated with 5 ml of sodium bisulphite solution (0.2% in deionized water) (reference solution), and the second tube was filled with 5 ml of only deionized water (sample solution). On a GenesysTM10S UV–visible spectrometer, the absorbance values of the solutions at 284 and 336 nm were noted respectively. The formula HMF (mg/kg) = (A284) - (A336) × 149.7, was used to calculate the concentration of HMF, where A284 stands for the absorbance at 284 nm and A336 for the absorbance at 336 nm. The mass of the sample and the molecular weight of HMF were used to calculate the factor 149.7.
2.10 DN
To measure the DN, 10 g of honey sample, 5 ml of acetate buffer, and 20 ml of distilled water were combined in a 50 ml beaker. Then, 3 m of 0.5 M NaCl was added and the solution was completely dissolved by adding distilled water to bring the total volume to 50 ml. A starch solution was calibrated using iodine one, and both the starch and honey solutions were kept at 40°C in a water bath. Then, 5 ml of the starch solution was mixed with 10 ml of the honey solution, and an aliquot was taken every 5 min and added to 10 ml of iodine solution to measure the absorbance to create a calibration curve. According to The diastase activity was determined as the diastase number (DN) according to AOAC. (Bogdanov et al., 1997).
2.11 Statistical analysis
Using SAS® 9.2 software, all statistical analyses were carried out. When p was less than 0.05, statistical significance was established. The values were shown as mean ± SE. To compare the measured variables across the tested honey samples, analysis of variance (ANOVA) was used.
3. Results
Results and descriptive statistics of physicochemical parameters for 12 honey samples (Tamarix sp., Achillea sp., Capparis sp., Hypericum sp., Calotropis sp., Moringa sp., Euphorbia sp., Anisosciadium sp., Avicennia sp., Acacia gerrardii sp., Ziziphus sp., Acacia ehrenbergiana), which were collected from different regions of Saudi Arabia, are summarized in Table 2. The results showed that the mean value of MC (16.3±0.29%), TSS (83.7±0.28 %), TDS (415±77.13 ppm), pH (4.0±0.30), EC (0.6±0.11 mS/cm), FA (36.6±5.79 meq/kg, HMF (15±3.74 mg/kg), and DN (13±1.60) of the honey samples (Table 2) were within the acceptable ranges according to international and national standards (Codex, 2001; GSO, 2014). ANOVA revealed significant differences in physicochemical parameters across the honey samples. The low MC indicates mature honey with minimal fermentation potential and a longer shelf life. The combination of low HMF and high DN indicates freshness and proper handling. Additionally, the higher electrical EC observed in Talh honey highlights its unique mineral composition, likely influenced by its botanical origin.
| Honey samples | Moisture % | TSS % | TDS (ppm) | pH value | EC (mS/cm) | FA (meq/kg) | HMF (mg/kg) | DN |
|---|---|---|---|---|---|---|---|---|
| Tamarix spp. | 17.7±0.10b | 82.3±0.10e | 344±0.58f | 4.1±0.06c | 0.48±0.00e | 24.7±0.33h | 14±0.58e | 8±0.21g |
| Achillea spp. | 16.3±0.12c | 83.7±0.12cd | 187±1.00j | 3.3±0.03fg | 0.28±0.01gh | 34±0.33e | 11±0.33f | 12±0.31d |
| Capparis spp. | 15.3±0.09e | 84.7±0.09ab | 204±0.88i | 3.4±0.03f | 0.28±0.00gh | 24.7±0.33h | 2±0.33i | 8±0.07g |
| Hypericum spp. | 16.5±0.15c | 83.5±0.15d | 283±3.18g | 3.6±0.03e | 0.35±0.00f | 24±0.33h | 9±0.17g | 11±0.17e |
| Calotropis spp. | 16±0.39cd | 84±0.39cd | 180±1.15k | 3.3±0.03g | 0.25±0.01h | 26.7±0.33g | 1±0.33i | 19±0.33b |
| Moringa spp. | 16.4±0.03c | 83.6±0.03d | 138±0.33l | 3.1±0.03h | 0.19±0.00i | 30±0.33f | 30±0.33b | 9±0.17f |
| Euphorbia spp. | 15.8±0.03cd | 84.2±0.03bc | 224±0.58h | 3.7±0.03e | 0.31±0.00fg | 33.7±0.33e | 41±0.33a | 10±0.29f |
| Anisosciadium spp. | 15.2±0.06f | 84.8±0.06a | 420±0.88e | 3.9±0.03d | 0.59±0.00d | 42±0.33c | 2±0.33i | 23±0.33a |
| Avicennia spp. | 18±0.03a | 82±0.03e | 641±1.53d | 3.7±0.03e | 0.88±0.00c | 38±0.33d | 6±0.33h | 23±0.33a |
| Acacia gerrardii | 15.1±0.07f | 84.9±0.07a | 770±1.20b | 4.3±0.03b | 1.18±0.06b | 75±0.33b | 10±0.33f | 14±0.58c |
| Ziziphus spp. | 16.2±0.03c | 83.8±0.03d | 672±1.15c | 7±0.00a | 0.92±0.01c | 10±0.88i | 23±0.67d | 11±0.58e |
| Acacia ehrenbergiana | 17.7±0.03b | 82.3±0.03e | 920±0.88a | 4.2±0.03ab | 1.27±0.01a | 77±0.88a | 29±0.58c | 9±0.33f |
| Mean | 16.3±0.29 | 83.7±0.28 | 415±77.13 | 4.0±0.30 | 0.6±0.11 | 36.6±5.79 | 15±3.74 | 13±1.60 |
Means that have identical letters are not statistically different (p <0.05).
3.1 Moisture content
The evaluated honey samples had an average MC of 16.3±0.29%, with a range of 15.1±0.07% to 18±0.03, which would suggest that the honey samples are resistant to fermentation and have a long shelf life. The honey from Acacia gerrardii showed the lowest MC at 15.1±0.07%, while Avicennia sp. exhibited the highest MC at 18±0.03%, as illustrated in Table 2. These values are within the acceptable limits for honey, which is usually less than 20% as officially recommended by the (Codex Alimentarius Commission, 2001).
3.2 TSS
In tested samples, the TSS percent ranged from 82±0.03% to 84.9±0.07% showing a significant difference (Table 2). Generally, the average was 83.7±0.28, with A. gerrardii honey having the highest value (84.9±0.07%) and Avicennia spp. honey, having the lowest (82±0.03%) one. Sugars, including fructose and glucose, represent about 85% of honey’s total solids. The TSS serves as an important measure of possible adulteration, it is directly related to the quantity of sugars in honey (Babarinde et al., 2011).
3.3 TDS
The total amount of organic and inorganic compounds in honey, including those in molecular, ionized, or microgranular suspended forms, is measured by the TDS content (Nyau et al., 2013). A. ehrenbergiana honey had the highest TDS concentration (920±0.88 ppm), and Achillea sp. honey had the lowest (180±1.15). The average TDS level of the tested samples was 415±77.13 ppm (Table 2).
3.4 pH
All of the tested honeys had pH values between 3.1±0.03 and 7±0.00. Ziziphus sp. honey had the highest pH 7±0.00, while Moringa sp. honey had the lowest pH 3.1±0.03. The overall average was 4.0±0.30 (Table 2). Since acidification has been demonstrated, honey’s acidic pH is preferred. This pH value might have contributed to the honeys’ longer shelf life (Krishnasree and Ukkuru, 2017).
3.5 EC
Honey samples had an average EC of 0.6±0.11 mS/cm, with a range of 0.19±0.00 to 1.27±0.01 mS/cm (Table 2). The lowest EC value (0.19±0.00 mS/cm) was for honey from Moringa spp. while the highest one (1.27±0.01 mS/cm) was for honey from A. ehrenbergiana. (Table 2).
3.6 FA
The honey samples’ FA ranged from 10±0.88 to 77±0.88 meq/kg (Table 2). A. ehrenbergiana honey had the greatest FA value (36.6±5.79 meq/kg), whereas the average Ziziphus spp. Honey had the lowest one. Acidity prevents fermentation and should be less than 50 meq/kg. All of the samples used in this study had acidity levels below the upper limit of 50 meq/kg, with the exception of the samples of Acacia honey (Talh), the high acidity of the plant source is the cause of the high acidity of the relevant honey (Raweh et al., 2022).
3.7 HMF
The honey samples examined in this study had HMF contents ranging from 1±0.33 to 41±0.33 mg/kg of honey Table 2. The average HMF value was 15±3.74, with Euphorbia honey having the greatest value at 41±0.33 mg/kg and Calotropis sp. honey having the lowest at 1±0.33 mg/kg. Overheating during heat treatment and inappropriate honey storage can both have an impact on the HMF concentration. Raw honey only contains trace amounts of HMF, a byproduct of reducing carbohydrates. According to Gebremariam and Brhane (2014), HMF is a key indicator of honey quality, reflecting both freshness and adulteration brought on by overheating.
3.8 DN
DN values ranged from 8±0.07 to 23±0.33 DN, with a mean of 13±1.60 (Table 2) and these values are, within the Codex standard limits (≥8). Honey samples from Tamarix spp. and Capparis spp. had the lowest DN (8±0.21 and 8±0.07, respectively), while honey samples from Anisosciadium spp. and Avicennia spp. had the greatest DN (23±0.33). The DN of honey is an important property which is closely linked to its freshness.
4. Discussion
The tested honey samples showed an average MC of 16.3±0.29%. The samples’ MC differed significantly. All of the samples met both national and international standards. A reduction in MC was linked to an increase in TSS (Table 2). These results are supported by Kamal et al. (2019) and (Primandasari et al. (2021).
Honey’s MC is affected by many factors, including environmental conditions, beekeeper practices during harvest, processing and storage, and the degree of maturity reached in the hive. Other factors, such as handling practices, weather, MC in the plant’s nectar and/or unripe honey, also contribute to an increase in MC of honey. (Alqarni et al., 2016; Geană et al 2020; Jalili, 2016; Osman et al., 2007). The present findings align with previous results of Raweh et al. (2023), who found that Saudi honey had MCs ranging from 13.1 ± 0.0 to 17.1 ± 0.1%. The average TSS of the tested honeys was 83.7±0.28% (Table 3), being within the permitted standards. Moreover, the studies of Nyau et al. (2013), Alqarni et al. (2016), and Kamal et al. (2019), support the current findings. Honey samples that have less or no TSS indicate that the honey was tampered with during processing.
| Variables | Moisture | TSS | TDS | pH | EC | FA | HMF | DN |
|---|---|---|---|---|---|---|---|---|
| Moisture | 1 | |||||||
| TSS | -1.0000* | 1 | ||||||
| TDS | 0.2432 | -0.2432 | 1 | |||||
| pH | -0.0831 | 0.0831 | 0.4494* | 1 | ||||
| EC | 0.1719 | -0.1719 | 0.9921* | 0.4242* | 1 | |||
| FA | 0.0273 | -0.0273 | 0.6184* | -0.3218 | 0.6573* | 1 | ||
| HMF | 0.1167 | -0.1167 | 0.0868 | 0.1967 | 0.0676 | 0.0571 | 1 | |
| DN | 0.1167 | 0.0352 | -0.0136 | -0.2144 | -0.0096 | -0.0356 | -0.7198* | 1 |
TDS is used to quantify the organic and inorganic ionic components dissolved in honey (Salama et al., 2019). The tested honey samples had an average TDS of 415±77.13 ppm. These findings align with those of Salama et al. (2019), and Islam et al.(2012). In addition, Table 3 reveals that there is a strong correlation between TDS and EC, indicating that these metrics can be used to assess the quality and purity of honey (Moniruzzaman et al., 2014). This study showed a significant correlation between pH and TDS, which was previously mentioned by Horčinová et al. (2019). Also, FA and TDS were shown to be significantly correlated (Table 3); this relationship was supported by Rivera-Mondragón et al. (2023).
Regardless of its locality, honey is known as an acidic material. However, variations in acidity could be caused by seasonal harvesting or the plant’s provenance. According to various research, e.g., EI Sohaimy et al. (2015), there are many minerals in honey, which affect its pH. The average pH of the tested honey samples was 4.0±0.30. The pH values of every sample were consistent with Saudi and international standards and previous findings (e.g., El Sohaimy et al., 2015; Raweh et al., 2023). The pH of local Sidr honey (Ziziphus spp.) was similarly higher (<6.1) than the standard range (3.40 to 6.10), which is in line with prior studies that found high pH in sidr honey (Alqarni et al., 2016). The honey samples’ average EC was 0.6±0.11 mS/cm, which complies with both national and international quality standards. It is clear that high EC values for Talh honey (1.18±0.06 mS/cm) are more closely linked to the type of origin plant (Raweh, Ahmed, et al., 2022; Trisha et al., 2023). The pH and EC of the honey samples showed a positive correlation, which is consistent with the findings of Veleva et al. (2022) and (Ratiu et al. 2019). Moreover, the tested samples had a low FA with an average value of 36.6±5.79 meq/kg. Except for Acacia (A. gerrardii and A. ehrenbergiana) honeys, all assessed honey samples had free acidity values less than 50 meq/kg. (Codex, 2001; and GSO, 2014). These values were consistent with earlier research (Alqarni et al., 2016; Geană et al., 2020; Raweh et al., 2023) who showed no fermentation found in Talh honey samples that had high acidity values.
The amount of FA in Acacia honey was higher than allowed (≤50 meq/kg). The mean FA value in Acacia honey was so high because honey originates from Acacia spp. Trees have high FA due to the nature of the floral source (Veleva et al. (2022) and Raweh et al., 2023). Thus, Acacia honey has a characteristic of honey type, which is very relevant to its floral origin. Honey’s FA is the sum of all of its free acids (Lewoyehu and Amare, 2019). Organic acids are found in all honey types, particularly gluconic acid, which is the main acid present. Our investigation revealed significant and positive correlation between FA and EC (Table 3). As previously mentioned, the amount of FA in honey determines its EC value; the higher the FA, the higher the EC (Bogdanov et al., 2002 and Živkov-Baloš et al., 2018).
The HMF in reveals how recently honey was produced. Each honey sample’s HMF level varied significantly (p < 0.05) from the others (Table 2). The honey utilized in this investigation had an average HMF content of 15±3.74 mg/kg. According to numerous researches, raw or fresh honey does not contain HMF, and it can be affected by a number of variables, including temperature, heating time, and storage conditions. Moreover, too much heat and inappropriate storage conditions may cause the amount of HMF to increase (Alqarni et al., 2016; Khalil et al., 2010; Truzzi et al., 2014).
According to certain earlier studies, honey adulterated with inverted syrup may have a high HMF level. Since the HMF content shows the uniqueness and freshness of honey, it should be within the allowed limit, which is less than 80 mg/kg. A process known as inversion can convert sucrose into HMF when sugars are heated in the presence of acids (Trisha et al., 2023). In our findings, DN and HMF had a strong negative significant correlation (Table 3). This relation was also tested in previous studies (White, 1994 and Pasias et al., 2017).
Diastases are naturally occurring enzymes present in honey. The testing of the diastase level can reveal any heat exposure to of honey or adverse storage conditions, since overheating or exposure to high temperatures during storage would reduce the enzyme activity (Krishnasree and Ukkuru, 2017). According to Yardibi and Gumus (2010), honey with extremely low or high DN may be spoiled or acid-forming. The average DN for all tested honey samples was 13±1.60. All samples were within the Codex standard limits (≥8), indicating their freshness. These findings align with the findings of previous studies (e.g. Krishnasree and Ukkuru, 2017; Raweh et al., 2023; Trisha et al., 2023 and Abdi et al., 2024).
5. Conclusions
The analysis of physicochemical properties in twelve honey samples collected from various botanical sources in Saudi Arabia has been conducted. This study focused on numerous key parameters, including TDS, TSS, MC, pH value, FA, EC, (DN), and HMF. The results indicate that these honey samples generally meet both national and international quality standards, showcasing their freshness and low levels of any adulteration. Most of the evaluated parameters aligned with established quality benchmarks. However, it was noted that the free acidity level in Acacia honey surpassed some of these standards, likely due to the specific plant source. Numerous factors, including the type of floral source, beekeeping techniques, and environmental conditions, can be blamed for the variances in these metrics that have been found. This study highlights the critical role of physicochemical properties in assessing honey quality. Monitoring physicochemical parameters is essential for effective quality control, the development of appropriate certification benchmarks, and the production of high-quality honey in Saudi Arabia. Furthermore, these findings support the establishment of region-specific standards that account for the distinctive physicochemical characteristics of Saudi honey, thereby facilitating quality assurance, authenticity verification, and improved market recognition.
Acknowledgment
The authors are thankful for the research support through “Ongoing Research Funding program (ORF-2026-1692)”, King Saud University, Riyadh, Saudi Arabia.
CRediT authorship contribution statement
Hael S.A. Raweh: Conceptualization, methodology, writing – original draft preparation, writing – review and editing. Abdulaziz S. Alqarni: Methodology, validation, formal analysis, investigation, resources, writing – review and editing, visualization. Javaid Iqbal: Software, validation, formal analysis, investigation, data curation, visualization. Mohamedazim I. B. Abuagla: Software, formal analysis, investigation, data curation. Jameel Al-Tamimi: Data curation, writing – review and editing. All authors have read and agreed to the published version of the manuscript.
Declaration of competing interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Declaration of generative AI and AI-assisted technologies in the writing process
The authors confirm that there was no use of AI-assisted technology for assisting in the writing of the manuscript and no images were manipulated using AI.
Funding
Ongoing Research Funding program (ORF-2026-1692), King Saud University, Riyadh, Saudi Arabia.
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