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Ecosistemas y recursos agropecuarios

versión On-line ISSN 2007-901Xversión impresa ISSN 2007-9028

Ecosistemas y recur. agropecuarios vol.10 no.1 Villahermosa ene./abr. 2023  Epub 04-Ago-2023

https://doi.org/10.19136/era.a10n1.3380 

Scientifics notes

Physicochemical properties of Scaptotrigona mexicana honey from the Highlands of Veracruz, México

Propiedades fisicoquímicas de miel de Scaptotrigona mexicana de la Región Montañosa de Veracruz, México

Luz Anel López-Garay1 
http://orcid.org/0000-0003-0328-745X

Libia Iris Trejo-Téllez2 
http://orcid.org/0000-0003-3433-065X

Fernando Carlos Gómez-Merino1 
http://orcid.org/0000-0001-8496-2095

Adriana Contreras-Oliva1  * 
http://orcid.org/0000-0002-9686-7447

Juan Antonio Pérez-Sato1 
http://orcid.org/0000-0002-8842-6262

Josafhat Salinas-Ruiz1 
http://orcid.org/0000-0003-4465-325X

1Postgraduate College Campus Córdoba. Federal highway Córdoba-Veracruz, km 348. CP. 94946. Congregation Manuel León, Amatlán de los Reyes, Veracruz, México.

2Postgraduate College Campus Montecillo. Highway México-Texcoco, km 36.5. CP. 56230. Montecillo, Texcoco, Estado de México, México.


Abstract

Stingless bees play an important role in maintaining the balance of the ecosystems they inhabit by actively participating in the pollination of most flowering plants. The objective of this study was to characterize physicochemically honey from the stingless bee species Scaptotrigona mexicana from Fortín de las Flores, Cañada Blanca, and Manuel León, in Veracruz, Mexico, collected in 2017 and 2018. The experimental design was completely randomized, with two factors: location and year of sampling. The analysis of variance showed that the interaction of factors affected water activity, but not hydroxymethylfurfural content. In honey from Fortín de las Flores, greater values for color, electrical conductivity, pH, lactone acidity, and total acidity were observed. The year with the highest recorded values of the measured parameters was 2017. The data obtained indicate Good quality of young honey and that the highest values of the measured variables were observed in Fortín de las Flores.

Key words: Color; electrical conductivity; hydroxymethylfurfural; Meliponini; water activity

Resumen

Las abejas sin aguijón juegan un papel importante para mantener el equilibrio de los ecosistemas en los que habitan al participar activamente en la polinización de la mayoría de las plantas con flores. El objetivo de este estudio fue caracterizar fisicoquímicamente la miel de Scaptotrigona mexicana de Fortín de las Flores, Cañada Blanca y Manuel León, en Veracruz, México, recolectada en 2017 y 2018. El experimento tuvo una distribución completamente al azar con diseño factorial, con los factores lugar y año de muestreo. El análisis de varianza mostró que la interacción de los factores afectó la actividad de agua, pero no el contenido de hidroximetilfurfural. En la miel de Fortín de las Flores se observaron mayores valores de color, conductividad eléctrica, pH, acidez de lactona y acidez total. El año con los valores más altos registrados de los parámetros medidos fue el 2017. Los datos indican buena calidad de miel joven y que los valores más altos de las variables medidas se observaron en Fortín de las Flores.

Palabras clave: Color; conductividad eléctrica; hidroximetilfurfural; meliponini; actividad de agua

Introduction

In addition to its significant nutritional characteristics, honey from stingless bees (family Apidae, tribe Meliponini) is widely used in traditional medicine in countries such as Mexico, Guatemala, Costa Rica, Colombia, and Brazil. Due to its properties, this honey has shown effectiveness in controlling eye, respiratory, digestive, gynecological, and dermatological ailments, placing the product in great demand in health food stores and pharmacies (Grajales-Conesa et al. 2018).

The physical and chemical parameters of natural honey, such as the concentration of hydroxymethylfurfural (HMF), color, acidity, and electrical conductivity, are strictly defined and constitute quality indicators that characterize individual varieties of honey. Measurement of these parameters is relatively simple, and the information provided is invaluable (May-Canché et al. 2022) and has allowed several laboratories to conduct in-depth studies on the subject (Hossain et al. 2022).

The parameter used for measuring the aging of honey is HMF concentration, which is the most significant intermediate product of two reactions: degradation of hexose and decomposition of 3-deoxyosone in the Maillard reaction (Salis et al. 2021). The color depends on several factors, although it is primarily related to the botanical origin and composition of the nectar, collection process, temperature, and storage time (Tkáč et al. 2022). Water activity (aw) is a significant factor in preventing or restricting microbial growth and, in many cases, is the key parameter responsable for the stability of food, modulation of the microbial response, and determination of the type of microorganisms found in foods (Ikhsan et al. 2022).

The pH of honey is low which inhibits the presence and growth of microorganisms and allows the compatibility of honey with many food products in terms of pH and acidity (Islam et al. 2022). Stingless bees or meliponines represent “environmental health” for the ecosystems that they inhabit, as well as balance, to the extent that they actively participate in pollination of most flowering plants. In addition, these stingless bees are the backbone of the food chain that gives meaning to the complex and fragile balance of life in jungles and tropical and subtropical forests (de Matos Barbosa et al. 2022). Meliponiculture is an activity that is still in an early stage of development and requires a greater research effort. In addition to their biology, distribution, and classification, more information about meliponines is needed regarding their properties, uses, production, and transformation. Moreover, more information is needed about

marketing of products from meliponines and especially regarding their relationship with native and cultivated plants within agro-ecosystems (Bratman 2020, May-Itzá et al. 2022, Simms and Porter-Bolland 2022). Despite the fact that several species of these stingless bees are distributed in Mexico, their study has been limited. This study aimed to physically and chemically characterize honey from these stingless bees in the locations Cañada Blanca and Manuel León of the municipalities Amatlán de los Reyes and Fortín de las Flores, Veracruz, Mexico, in a completely randomized experiment with a factorial design, being the two study factors: location of sampling (L) and year of sampling (Y).

Materials and methods

Honey

Samples of multifloral honey from the stingless bee species Scaptotrigona mexicana were collected in three different locations of the state of Veracruz, Mexico, during the spring of 2017 and 2018, specifically in the month of March. The sampling sites were Cañada Blanca (18° 57’ 10.5” LN, 96° 51’ 40.4” LO, 787 m), Manuel León (18° 54’ 27.8” LN, 96° 57’ 38.4” LO, 650 m), and Fortín de las Flores (18° 57’ 10.4” LN, 96° 55’ 40.4” LO, 884 m).

In Cañada Blanca, the most abundant flora is Heliocarpus (Malvaceae, Grewioideae), followed by the predominance of Bursera simaruba (Burseraceae). In Manuel León, the flora with the greatest presence are Chamaecrista (Fabaceae, Caesalpinioideae) and Parthenium fruticosum (Asteraceae). Finally, Fortín de las Flores has an abundant natural flora, including Verbesina (Asteraceae) and Solanum (Solanaceae), as well as the practice of growing flowers such as Anthurium, Orchidaceae, Arecaceae, and Tracheophyta. The location of honey collection site (L) and the year of sampling (Y) were included as study factors in a completely randomized factorial experiment.

Samples were collected in accordance with Codex Stan 12 (2001). Samples of 1 L were collected from each site, which were stored in amber glass vials at 4 °C for further analysis. Sample analysis was performed within 2 months of sample harvest.

Water activity (aw)

This variable was determined using a Pawkit portable instrument (Aqualab Nelson; Pullman, WA, USA) with an accuracy of ± 0.02. For measurement, a honey sample was added to the capsule with the sensor placed above, and the reading was obtained over 5 min.

Color

This test was conducted with a spectrophotometer (HANNA HI96785; Woonsocket, RI, USA) with direct readings in mm Pfund in the range of 0-150 mm Pfund and an accuracy of ± 2 to 80 mm Pfund at 25 °C. Color classes are expressed in millimeters of the Pfund range and compared to a reference standard analytical range graduated with glycerin. In this case, honey was placed in the cell, and once the equipment was calibrated, the cell was inserted to perform the reading.

Electrical conductivity (EC)

A conductometer was used (HANNA DisT 3 HI98303; Woonsocket, RI, USA) with a measurement range of 1.999 dS m-1, resolution of 0.001 dS m-1, and accuracy of ± 2%.

Hydroxymethylfurfural (HMF)

This compound was determined by a reflectometer (Merck RQflex 10; Darmstadt, Germany) using Reflectoquant® test strips (Merck Millipore; Darmstadt, Germany), for which 5 mL of honey was diluted in 20 mL of distilled water and stirred. The strip was inserted and then read by the instrument.

Soluble solids

A digital refractometer was used (HANNA HI96813; Woonsocket, RI, USA) in which a drop of honey was placed on a lens that was traversed by a beam of light to indicate the content of soluble solids.

pH, free acidity, lactone, and total acidity

The pH value was measured with a potentiometer (Oakton CyberScan pH 2100 series; Vernon Hills, IL, USA) at a temperature between 25 and 28°C. The analysis method is based on the neutralization of acids present in honey by titration according to method 962.19 of the AOAC manual (1995). For this procedure, 10 g of honey was dissolved in 75 mL of distilled water, which was stirred and titrated with 0.05 N NaOH at pH 8.5 (free acid). Then, the addition was stopped, and 10 mL of 0.05 N NaOH was imme diately added for back titration with 0.05 N HCl at pH 8.3 (lactone acid). The total acidity is the sum of the free and lactone acid. The results are expressed in meq kg-1.

Statistical análisis

Analysis of variance and Tukey’s comparison of means tests (p ≤ 0.05) were conducted with the results obtained for the analyzed variables. The experiment had a completely randomized design with a factorial arrangement, with location of sampling (L) and year of sampling (Y) as the main factors to be evaluated. The statistical model is described as follows:

yijk=u+Li+L x YIJ εijk

where Y ik is the response variable at the locawhere yi jk is the response variable at the location 𝑖 𝑖=1,2,3 , sampling year 𝑗 𝑗=1,2 , and replicate 𝑘 𝑘=1,2,3 , 𝜇 is the overall mean, 𝐿 𝑖 is the fixed effect due to location, Mj is the fixed effect due to sampling year, ( 𝐿 𝑥 𝑌) 𝑖𝑗 is the interaction effect between location and sampling year, and 𝜀 𝑖𝑗𝑘 s the experimental error assuming that each 𝜀 𝑖𝑗𝑘 has a normal distribution with mean zero and constant variance σ2 .

Results and discusión

In Table 1, the main effect of the sampling site is observed, in which the sample from Fortín de las Flores had the highest average with a value of 4.8 ± 0.01 (n =6). With respect to sampling year, wo statistical groups were found, in which the 2018 harvest exhibited the highest pH (p ˂ 0.01). For the interaction of both study factors, three statistical groups were obtained (p ˂ 0.01), in which the Fortín de las Flores sample from both harvest years had a higher pH (4.81).

Table 1 Main effects of study factors (location and year of sampling) and their interactions on the measured variables in stingless bee honey. 

Study factor Level of factor Water activity (aw) HMF(mg kg-1) Free acidity (meq kg-1) Lactone acidity (meq kg-1) Total acidity (meq kg-1) Color (mm Pfund) Electrical conductivity (dS m-1) Soluble solids (°Bx) pH
Location of sampling (L) Cañada Blanca 0.732 ± 0.010 2.88 ± 0.70 1.027 ± 0.098 39.67 ± 05.05 40.69 ± 05.13 91.33 ± 55.35 0.550 ± 0.100 71.5 ± 1.1 4.65 ± 0.07
(n = 6)a (n = 6)a (n = 6)a (n = 6)ab (n = 6)ab (n = 6)b (n = 6)c (n = 6)a (n = 6)b
Manuel León 0.723 ± 0.012 3.45 ± 0.35 0.953 ± 0.308 37.33 ± 01.97 38.52 ± 01.96 77.50 ± 4.55 0.817 ± 0.090 71.6 ± 0.4 4.65 ± 0.07
(n = 6)a (n = 6)a (n = 6)b (n = 6)b (n = 6)b (n = 6)c (n = 6)b (n = 6)a (n = 6)b
Year of sampling (Y) Fortín de la Flores 0.732 ± 0.012 2.81 ± 0.59 1.010 ± 0.156 42.17 ± 02.48 43.18 ± 02.61 128.33 ± 23.88 1.233 ± 0.200 71.7 ± 0.7 4.81 ± 0.01
(n = 6)a (n = 6)a (n = 6)a (n = 6)a (n = 6)a (n = 6)a (n = 6)a (n = 6)a (n = 6)a
2017 0.730 ± 0.014 3.17 ± 0.48 1.016 ± 0.170 37.67 ± 02.92 38.68 ± 02.87 124.00 ± 33.26 0.933 ± 0.370 71.2 ± 0.6 4.66 ± 0.12
(n = 9)a (n = 9)a (n = 9)a (n = 9)b (n = 9)b (n = 9)a (n = 9)a (n = 9)b (n = 9)b
2018 0.728 ± 0.008 2.92 ± 0.63 0.978 ± 0.231 41.78 ± 03.60 42.91 ± 03.60 74.11 ± 28.52 0.800 ± 0.260 72.0 ± 0.6 4.75 ± 0.05
(n = 9)a (n = 9)a (n = 9)b (n = 9)a (n = 9)a (n = 9)b (n = 9)b (n = 9)a (n = 9)a
Location of sampling (L) Year of sampling (Y) Water activity (aw) HMF (mg kg-1) Free acidity (meq kg-1) Lactone acidity (meq kg-1) Total acidity (meq kg-1) Color (mm Pfund) Electrical conductivity (dS m-1) Soluble solids (°Bx) pH
Cañada Blanca 2017 0.740 ± 0.000 2.10 ± 0.90 0.940 ± 0.035 35.33 ± 00.58 36.27 ± 00.56 141.67 ± 7.64 0.633 ± 0.058 70.5 ± 0.3 4.58 ± 0.01
(n = 3)a (n = 3)a (n = 3)c (n = 3)b (n = 3)b (n =3)d (n =3)de (n =3)d (n=3)c
2018 0.723 ± 0.006 3.67 ± 0.76 1.113 ± 0.012 44.00 ± 02.65 45.11 ± 02.64 41.00 ± 1.00 0.467 ± 0.058 72.5 ± 0.4 4.71 ± 0.01
(n = 3)ab (n = 3)a (n = 3)b (n = 3)b (n = 3)a (n = 3)d (n = 3)e (n = 3)a (n = 3)b
Manuel León 2017 0.713 ± 0.006 3.57 ± 0.29 1.233 ± 0.031 37.00 ± 02.65 38.23 ± 02.62 80.33 ± 5.33 0.767 ± 0.116 71.9 ± 0.2 4.58 ± 0.02
(n = 3)b (n = 3)a (n = 3)a (n = 3)b (n = 3)b (n = 3)c (n = 3)cd (n = 3)ab (n = 3)c
2018 0.733 ± 0.006 3.33 ± 0.47 0.673 ± 0.023 37.67 ± 01.53 38.81 ± 01.53 74.67 ± 1.52 0.867 ± 0.058 71.2 ± 0.2 4.71 ± 0.01
(n = 3)ab (n = 3)a (n = 3)d (n = 3)b (n = 3)b (n = 3)c (n = 3)c (n = 3)bc (n = 3)b
Fortín de las Flores 2017 0.737 ± 0.012 3.87 ± 0.08 0.873 ± 0.046 40.67 ± 02.08 41.54 ± 02.11 150.00 ± 0.00 1.400 ± 0.058 71.1 ± 0.2 4.81 ± 0.02
(n = 3)a (n = 3)a (n = 3)c (n = 3)ab (n = 3)ab (n = 3)a (n = 3)a (n = 3)cd (n = 3)a
2018 0.727 ± 0.012 1.77 ± 0.20 1.147 ± 0.050 43.67 ± 02.08 44.81 ± 02.12 106.67 ± 4.16 1.067 ± 0.058 72.3 ± 0.2 4.81 ± 0.02
(n = 3)ab (n = 3)a (n = 3)ab (n = 3)a (n = 3)a (n = 3)b (n = 3)b (n = 3)a (n = 3)a

Means ± SD with different superscript letters for each study factor or interaction for each variable indicate statistically significant differences (Tukey’s test, p ≤ 0.05).

Physical and chemical characterization is usually performed to determine the qualities of honey, especially for marketing purposes. To analyze the composition of the honey, established parameters for assessing honey from Apis mellifera and S. mexicana were used. For the latter, Vit et al. (2004) have proposed some reference values. Free water is measured as the aw and is considered an indicator of purity and the degree of maturity and stability of honey during storage (likelihood of decomposition by fermentation) (Da Silva et al. 2016). The average values reported in honey range from 0.77 to 0.91 (Ávila et al. 2019). The aw values obtained in this study are slightly lower than those reported previously.

Many species of bacteria will grow if the aw is between 0.94 and 0.99, and the aw of ripened honey does not support the growth of yeast. For this reason, diluted honey with a higher awill not be effective against those species of bacteria that grow most rapidly at an aw of 0.99 (Saranraj et al. 2016).

Assessment of HMF is used to determine the quality of honey. In fresh honey, this compound is usually not present. High concentrations of HMF in honey indicate overheating, poor storage conditions, and aging of the honey (Tadese et al. 2020). The Codex Alimentarius Commission and the European Union established that the allowable concentration of HMF in honey must not exceed 80 and 40 mg kg-1, respectively. However, the European Union provides for some exceptions, for example, the allowable value in honey from countries or regions with tropical climates is up to 80 mg kg-1, as is the case of honey tested in our country (Codex Alimentarius Alinorm 2000). In this study, the recorded values of HMF in all places and years of sampling are low, which is indicative of young, high-quality honey.

The color of liquid honey ranges from clear and colorless to dark amber or black and depends on its botanical origin, age, and storage conditions. The color values obtained in this study were generally above 60 mm Pfund, indicating dark honey. When analyzing the color of honey samples produced in the provinces of Chaco, Argentina, Salgado and Maidana (2014) reported differences depending on the vegetation at the collection site. They observed that dark honey samples were obtained from areas where the native forests still prevail and forest species are the primary source of nectar, while clear honey simples were collected in agricultural areas of the province, where there is little crop diversity. Likewise, in this study, the honey that had the highest color value was obtained from Fortín de las Flores, an area with greater variability of flora and fewer disturbances, given the distance that stingless bees travel to find meliponaries. While the Cañada Blanca location also features little disturbance, its landscape is dominated by coffee and citrus orchards.

Similar to color, the EC is a good criterion for the determining the botanical origin of honey and is therefore a variable often used in the control of quality and purity. Honey contains organic acids and mineral salts, compounds that are chemically “ionizable” when in solution and can conduct electricity (Yadata 2014). In the case of honey collected in Fortín de las Flores, there was a positive relationship between color and EC, which is consistent with the results reported by Salgado and Maidana (2014). Furthermore, the EC values obtained, particularly in honey from Fortín de las Flores, greatly exceed the value established by Codex Alimentarius for floral honey, which is 0.8 dS m-1 (Codex Alimentarius Alinorm 2000)). These high EC values could indicate the presence of honeydew in the honey (honeydew honey), which is also associated with darker honey, as in this case (Escudero et al. 2012).

The soluble solids content for honey is 75 °Bx according to AOAC-932.12. Pattamayutanon et al. (2015) reported an average of 81.18 °Bx in a study conducted on honey samples of A. mellifera in Thailand. These values are higher than those recorded in this study, and there was no statistically significant difference by location of sampling sites. The low pH of honey inhibits the presence and growth of microorganisms and allows compatibility of honey with many food products in terms of pH and acidity (Silva et al. 2013). According to a study conducted on A. mellifera honey samples in Cuba, the pH value was 4.76 (Alvarez-Suarez et al. 2018). In honey of the species S. mexicana, the pH was 3.50 to 3.96 (Jimenez et al. 2016). In this study, higher pH values were obtained.

The most prevalent acid in honey is gluconic acid (AOAC 1995), which results from the action of the enzyme glucose oxidase on a glucose molecule. According to Jimenez et al. (2016), the value for acidity in honey from the species S. mexicana is 32.90 to 35.10 meq kg-1. The allowable value for acidity in honey from the species Scaptotrigona is 85.0 meq kg-1, thus the samples tested are below the maximum allowable value, indicating that they are not very susceptible to fermentation (Vit et al. 2013). Inaddition, it has been noted that the acidity of honey is mportant for preventing the growth of microorganisms (Lage et al. 2012). The lactic acidity (lactone) values in this study were greater than those reported by Bergamo et al. (2019) in honey of A. mellifera (2.18 and 13.61 meq kg-1). In Heterotrigona itama honey from Malaysia, values between 129.2 and 144.4 meq kg-1 have been reported for this indicator (Kek et al. 2018). Comparatively, these values are higher tan those recorded in this study.

The honeys analyzed from the different municipalities have important physicochemical differences, depending on the place and the year of sampling, and these results can be compared with other studies to contribute to the development of a specific standard for determining the quality of this honey.

Acknowledgements

The authors acknowledge the support provided by the National Council of Science and Technology (CONACyT) for the maintenance grant assigned to LALG.

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Received: June 08, 2022; Accepted: December 16, 2022

Corresponding author: adricon@colpos.mx

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