Honey Samples Research Articles

Spatiotemporal variability of pesticides concentration in honeybees (Apis mellifera) and their honey from western Mexico. Risk assessment for honey consumption

The study conducted in the state of Colima, western Mexico, aimed to assess the 1) occurrence, 2) temporal variability, 3) spatial variability, and 4) potential risk for honeybees and human consumption of pesticide-contaminated honey. For that purpose, 48 pesticides were determined in bees and their honey during both dry and wet seasons. The research considered two variables: land use categorization (irrigated agriculture, rainfed agriculture, grassland, and forest area) and location (coastal, valley, and mountain). Bee and honey samples were collected, pre-treated using solid-phase extraction (SPE), and analyzed using LC-MS/MS and GC–MS techniques. Occurrence: of the total number of pesticides, 17 were detected in the bee samples and 12 in the honey samples. The pesticides with the highest concentrations in the bee samples were glufosinate ammonium, picloram, and permethrin, while in the honey samples, picloram, permethrin, and atrazine were the most prevalent. Temporal variability: analyses revealed significant differences between dry and wet seasons for glufosinate ammonium and DEET in bee samples and only for glufosinate ammonium in honey samples. Spatial variability: analyses showed a trend in the number of detected pesticides, with irrigated agriculture areas having the highest detection and grassland areas having the least. The human potential risk assessment of contaminated honey consumption indicated no risk. The bee's potential risk for consumption of pesticides contaminated honey revealed chronic effects due to permethrin in a general scenario, and carbofuran, diazinon and permethrin in the worst scenario, and potential risk of acute effects by permethrin. The findings of this study contribute to understanding the contamination levels of pesticides in bees and their honey, emphasizing the importance of monitoring and mitigating the adverse effects of pesticide exposure on bee populations and environmental health.

Microplastic contamination in the agri-food chain: The case of honeybees and beehive products

Microplastics, MPs, plastic fragments with a dimension lower than 5 mm, and microfibers, MFs, synthetic and natural/artificial fibrous fragments with a diameter lower than 50 μm, are ubiquitous pollutants identified in different environmental compartments. In this work the occurrence of MPs and MFs on honeybees, Apis mellifera, and beehive products was evaluated, using Fourier transform infrared microspectroscopy, confirming that MPs and MFs are widely present as air contaminants in all the apiary's areas (high and low urbanized areas) in Southern Italy.Results indicated that independently from the site, both honeybees and honey samples, are contaminated by MFs with non-natural color. The majority of MFs were of natural origin followed by artificial MFs and synthetic MFs. Moreover, the chemical composition of MFs isolated from honeybees reflect that used in synthetic fabrics, leading to the hypothesis that they are released from textile to air where are captured by bees. Results highlight that MFs represent a class of ubiquitous airborne anthropogenic pollutants. The identification of polytetrafluoroethylene, PTFE, MPs in honeybees confirm the recent findings that PTFE MPs are diffuse soil and air contaminants while the identification of polyethylene, PE, based MPs in honey samples, from low density urban sites, could be correlated to the large use of PE in agriculture. In the honey samples, also polycaprolactone, PCL, MPs were identified, mainly in high density urban sites, confirming that biodegradable materials could be further pollutants in the environments. The results indicate that honeybees are contaminated by MPs and MFs during their flights or picking up from the hive components, flowers, from other nest mates, from the clothes of the beekeeper, among others and some of them could be transferred to honey samples that could be also affected by soil contamination.

Composition of Proteins Associated with Red Clover (Trifolium pratense) and the Microbiota Identified in Honey.

The nutritional composition of honey is determined by environmental conditions, and botanical and geographical origin. In addition to carbohydrates, honey also contain pollen grains, proteins, free amino acids, and minerals. Although the content of proteins in honey is low, they are an important component that confirms the authenticity and quality of honey; therefore, they became a popular study object. The aim of the study was to evaluate protein content and composition of monofloral red clover and rapeseed honey collected from five different districts of Lithuania. Forty-eight proteins were identified in five different origin honey samples by liquid chromatography. The number of red clover proteins identified in individual honey samples in monofloral red clover honey C3 was 39 in polyfloral honey S22-36, while in monofloral rapeseed honey S5, S15, and S23 there was 33, 32, and 40 respectively. Aphids' proteins and lactic acid bacteria were identified in all honey samples tested. The linear relationship and the strongest correlation coefficient (r = 0.97) were determined between the content of Apilactobacillus kunkeei and Apilactobacillus apinorum, as well as between the number of faba bean (Vicia faba) pollen and lactic acid bacteria (r = 0.943). The data show a strong correlation coefficient between the amount of lactic acid and aphid protein number (r = 0.693). More studies are needed to evaluate the relationship between the pollination efficiency of red clover by bees and the multiplicity of red clover proteins in honey protein, as well as microbiota diversity and the influence of nature or plant diversity on the occurrence of microbiota in honey.

Aflatoxins, fumonisins, citrinin, and zearalenone contents and health risk estimates in bee products in Turkey

Food contamination is an important global food safety issue. This study aimed to detect aflatoxins (AFB1, AFB2, AFG1, AFG2), fumonisins (FB1, FB2), citrinin (CIT), and zearalenone (ZEA) in four bee product groups (honey, royal jelly, bee pollen, propolis) in Turkey. Additionally, exposure and risk assessments were made for mycotoxins detected in these products. Mycotoxin analyzes in bee products were carried out by high-performance liquid chromatography-ultraviolet (HPLC-UV) and liquid chromatography-tandem mass spectrometry (LC/MS-MS) methods. The most frequently detected mycotoxins in all bee products were ZEA (37.5%) and AFB2 (36.6%). The analysis showed that the average concentrations of FB2 (2.091 μg/kg), AFB1 (0.595 μg/kg), and ZEA (0.009 μg/kg) in all bee products were above the detection limit levels, while the levels of AFB2, AFG1, AFG2, FB1, and CIT were below the limit of detection. When comparing bee products, it was found that honey samples were more exposed to AFB2 and FB1, bee pollen to FB1, propolis to AFB2, and royal jelly to ZEA contamination. AFG1 and CIT were not detected in propolis and bee pollen, respectively. All mycotoxins analyzed in the study pose no health risks when bee products are consumed daily.

Isotopic study of honey documents widespread plant uptake of old carbon in North America

A comprehensive understanding of carbon cycling pathways in the soil-plant system is needed to develop models that accurately predict global carbon reservoir responses to anthropogenic perturbations. Honey is a carbon-rich natural food produced by wild and managed pollinating insects all over the world; the composition of a single sample is a function of millions of pollinator-plant interactions. We studied the 13C/12C and Δ14C of 121 honey samples sourced from the United States, and found a significant older carbon contribution. The effect is observed from 25 to 45° latitude, not correlated with 13C/12C, and consistent with a previously published study on European honeys. In specific cases, the measured values were up to 20 ‰ (Δ14C) higher than the expected atmospheric 14CO2 value for the given year, which shows a significant older carbon contribution. We hypothesize that the older carbon is from plant liquids derived in part from soil carbon or stored nonstructural carbohydrates from plants, which shifts the calibrated age of the sample by 5 years or more. Our work is the first to describe the widespread occurrence of older carbon in honey and shows that radiocarbon measurements can be a powerful tool to trace carbon allocations in terrestrial food webs and detect the atmosphere-soil-plant carbon cycle contributions.

Sensitive determination of quercetin in food samples implementing magnetic dispersive solid phase extraction coupled with ion mobility spectrometry

Quercetin (QUR) is a vital flavonoid, which is found in dietary human. The quick analysis of QUR is difficult on account of utilizing complicated methods. Hence, we developed a proposed method based on ion mobility spectrometry (IMS) to evaluate the fast analysis of QUR in food samples. This analytical method combined the benefit of polypyrrole-coated magnetic dispersive solid phase extraction (MDSPE) as a sorbent phase for the QUR extraction, and also the strength of IMS for the rapid detection. Nanoparticle (NP) characterization was investigated through VSM, FT-IR, XRD, BET, and as well as FE-SEM analysis. Sample pH, amount of nanoparticles, type and volume of desorption solvent, extraction time, and desorption time as impressive parameters in MDSPE method were investigated and optimized. The calibration curve was linear in the range of 1.0–90.0 ng mL−1, with a determination coefficient (R2) of 0.9954. The limit of detection (LOD) and the limit of quantification (LOQ) for QUR were 0.31 and 1.02 ng mL−1, respectively. The RSD% of QUR through seven parallel analyses was 4.44. This analytical work was executed to quantify QUR in honey and tea samples without any derivation procedure needed. The recovery values for QUR were estimated in the range of 92.5–96.7 % using the proposed method. Also, according to the attained results from HPLC analyses, the applicability, and susceptibility of the current method was verified.

Изменение химического состава и антимикробной активности меда, хранящегося при низких температурах

Natural honey can change its physicochemical and biological properties during storage. According to State Standard 19792-2017, honey should be stored at ≤ 20°C. Some publications promote long-term storage of honey at temperatures between 0 and –20°C that preserves its physicochemical parameters, especially the content of hydroxymethylfurfural. Promising as they seem, such temperature modes may affect other physicochemical parameters of honey. The research objective was to study the effect of different temperature conditions on various honey samples and their physicochemical and biological parameters during long-term storage. The study applied standard and authentic research methods to fresh linden, buckwheat, and sunflower honey samples obtained from Rostov, Volgograd, Kursk, Voronezh, Saratov, and Krasnodar regions. They were stored in heat, cold, and moisture test chambers M-60/100-500 for 12 months. Hydroxymethylfurfural proved stable at –18°C for 12 months. After 12 months at 18°C, it showed a sharp increase of 472.5–488.1%. The activity of enzymic diastase, D-glucose-1-oxidase, and catalase occurred at all temperature modes after 1 month of storage. At 0–5°C, the changes were minimal: hydrogen peroxide (H2O2) remained stable, and its concentration decreased by ≤ 12.2% after 12 months of storage. Moisture, mass fraction of reducing sugars, and acidity remained stable in all samples. An antimicrobial test by Escherichia coli (strain 1257), Staphylococcus aureus (strain 209-P), and Bacillus cereus (strain 96) showed that the best inhibiting properties belonged to the samples of linden and buckwheat honey stored at 5 and 0°C for 12 months. The optimal temperatures for long-term honey storage were in the range between 5 and 0°C. The results obtained can be used in updated honey storage standards.

Optimization of Green Sample Preparation for the Determination of Hydroxycinnamic Acids in Multi-Floral Honey Using Response Surface Methodology

Hydroxycinnamic acids are an essential phenolic group in honey that are related with its diverse health effects. Furthermore, they can be considered as potential biomarkers for botanical and geographical origin. The extraction of hydroxycinnamic acids from honey requires complicated extraction techniques due to their low contents and matrix particularity. The goal of the present work was to develop a green sample preparation method for the solubilization of hydroxycinnamic acids in honey samples. Thus, a Box–Behnken design has been used to investigate the effect of four factors: (i) percentage of ethanol (60–90%, v/v), (ii) temperature (30–60 °C), (iii) solvent-honey ratio (10–30 mL g−1), and (iv) sonication time (10–40 min) on the contents of caffeic, chlorogenic, and ferulic acids. Based on the desirability index, the ultrasound-assisted mixing of honey with 60.0% (v/v) ethanol at a solvent-honey ratio of 10 mL g−1 for a period of 17.8 min at a temperature of 54.6 °C resulted in the maximum solubilization of hydroxycinnamates. Subsequently, the greenness of developed method was assessed and applied successfully on the analysis of honeys. The present study reports for first time the hydroxycinnamic acid fingerprint of multi-floral honey produced in Cyprus.

Antibiotics, pesticides, and heavy metals contaminants of honey as affected by antibiotics usage and agricultural practices in different Egyptian environments

Background and aim Environmental pollutants and global climate changes have a negative health effect on honeybees, and increase honey contamination.The aim of this study was to test the effect of antibiotic usage and agricultural practices on the presence of a total of 461 pesticides, 30 antibiotics, and five elements traces in honey samples collected from Egyptian apiaries of different environmental conditions representing intensive, and limited agriculture production regions. Materials and methods Pesticides and antibiotic residues in honey were detected at trace levels using tandem mass spectrometry techniques Gas Chromatography-Mass Spectrometry/Mass Spectrometry and Liquid Chromatography-Mass Spectrometry/Mass Spectrometry (GC-MS/MS and LC-MS/MS). Antibiotics were detected using only Liquid Chromatography-Mass Spectrometry/Mass Spectrometry LC-MS/MS. The quadrupole inductively coupled plasma mass spectrometry technique (QICP-MS) was applied for the trace element analysis. Results and conclusion Amitraz and acetamiprid were more frequent. The highest concentration of amitraz (0.022 mg/kg) was found in samples obtained from apiaries in the north delta. Iron and zinc were the highest frequently detected elements in all the collected honey samples. Also, Cu was less frequently detected elements in honey samples with percent values of 7%. Cd and Pb were found in honey samples from apiaries in the south delta of Egypt at 20%, and 27%, respectively. Most of the collected samples were contaminated with antibiotics. A direct relation between agriculture production and uncontrolled antibiotics applications on a beehive was concluded due to the increased diseases of bees in the regions of intensive agriculture production. Only two pesticides were detected along with low concentrations of toxic elements in too low levels to exceed their ‘European Union Maximum Residue Limit’ EU MRL.

ANTIBACTERIAL POTENTIAL AND MICROBIOLOGICAL QUALITY OF HONEY FROM SLOVAKIA

In this study, the antibacterial activity of 10 honeys at three concentrations 50%, 25%, and 12.5% was tested against two G- and two G+ strains, also the microbiological quality of the honeys in terms of the representation of total count of bacteria, coliforms, yeasts, and filamentous fungi was evaluated, and micromycetes to the species level were identified. Antibacterial activity of the honeys was assayed using well diffusion method, determination of microbial groups by the pour plate method and diversity of mycobiota in honey according to macro- and micromorphological characteristics. Results showed the antibacterial effects of Slovak honey collected from the Spiš region, against bacterial strains Escherichia coli, Pseudomonas fluorescens, Enterococcus faecalis, and Staphylococcus aureus, which are among the most common bacteria responsible for nosocomial infections. We found that honeydew honey was very effective against E. coli and S. aureus, rapeseed honey against P. fluorescens, and mixed honey (no. 10) against E. faecalis. Staphylococcus aureus was the most susceptible bacteria tested for all honeys. The presence of both yeasts and molds was detected in 3 honey samples at concentrations ranging from <4x101 to 3.6x101 CFU/g, while the total count of bacteria was detected in 9 samples at concentrations ranging from 2.3x101 to 3.6x102 CFU/g (in 1 sample, the occurrence of microorganisms was not recorded even at the lowest dilution of 10-1). Coliforms were not isolated. A total of 3 strains belonging to the Aspergillus section Nigri were identified. The microbiological analyses of the samples indicates that the honeys were produced, processed and stored in accordance with the rules of good hygiene practice.

A highly sensitive luminescent aptasensor utilizing MOF-74-co encapsulation of luminol in a ‘turn-on’ mode for streptomycin detection

This study focused on detecting streptomycin (STR) residues using a luminescent aptasensor encapsulated with aptamer. Utilizing MOF-74-Co with peroxidase-like activity, luminol was enclosed in its pores. The specific STR aptamer acted as a gatekeeper, ensuring excellent performance. Upon exposure to STR, the aptamers detached, releasing luminol and amplifying the luminescent signal through MOF-74-Co catalytic activity. A linear relationship between fluorescence intensity and STR concentration (50 nM ∼ 5 × 106 nM) was established, with a limit of detection of 0.065 nM. The sensor exhibited high selectivity for STR even in the presence of other aminoglycoside antibiotics. Applied to tea, egg, and honey samples, the sensor showed recovery rates of 91.38–100.2%, meeting safety standards. This MOF-based aptasensor shows promise for detecting harmful residues.

Development of a molecularly imprinted Ag/g-C3N4/GCE electrochemical sensor for specific detection of ofloxacin

Developing efficient and sensitive techniques for detecting ofloxacin (OFL) residues is crucial for ensuring food safety and environmental protection. In this study, the electropolymerization method was utilized with polypyrrole (Ppy) as the functional monomer and OFL as the template to produce a molecularly imprinted composite material comprising silver (Ag) and graphitic carbon nitride (g-C3N4) (MIP-Ag/g-C3N4/GCE) for the electrochemical detection of OFL. The electrochemical characterization was conducted using cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS). Under the optimal conditions, the prepared sensor demonstrated decent sensitivity and selectivity using the differential pulse voltammetry (DPV) technique. The sensor demonstrated an optimal linear range of 10−13 to 10−11 mol L−1, with a low limit of detection (LOD) of 8.842×10−14 mol L−1 and a limit of quantification (LOQ) of 2.947×10−13 mol L−1, which can successfully detect OFL in milk and honey samples, showing a recovery range of 97.38–104.00 %, and 99.45–102.00 %, with relative standard deviations (RSD) below 2.82 % and 2.16 % (n=5), respectively. The sensor exhibited high selectivity, high stability, and decent reproducibility in OFL determination. This study offers valuable insights into the application of semiconductor-based electrochemical sensors, opening new possibilities for the field and contributing to the improvement of food safety and environmental protection.

Sensitive Electrochemical Sensor for Gallic Acid Determination in Honey Based on g-C3N4/AuNPs Modified Carbon Paste Electrode

Gallic acid (GA) is a well-known polyphenol that occurs naturally in plants and is used as a chemical marker or standard antioxidant in analytical research. Here, a carbon paste electrode was modified with a nanocomposite of graphitic carbon nitride and gold nanoparticles (g-C3N4/AuNPs/CPE). The g-C3N4/AuNPs was characterized by Fourier transform infrared spectroscopy, X-ray diffraction, energy-dispersive X-ray spectroscopy, and scanning electron microscopy. Electrochemical impedance spectroscopy, cyclic voltammetry, and differential pulse voltammetry methods were used to investigate the electrochemical behavior of GA on the electrode. EIS analysis exhibited lower charge-transfer resistance in g-C3N4/AuNPs/CPE than CPE; 250 vs 1500 Ω, respectively. The g-C3N4/AuNPs/CPE was used to GA sensing with limit of detection and linear response range of 0.025 and 0.16–4.10 μM, respectively via DPV. Then, the GA content in Iranian honey samples with different floral origins such as Ziziphus, Barberry, Thyme, Astragalus, Eucalyptus and Coriander was successfully determined. According to result, the fabricated electrochemical sensor could be useful for GA evaluation in food samples.

Photocurrent polarity switching photoelectrochemical aptasensor for oxytetracycline based on BiOBr/Ag2S/PDA//CuO: CuO-induced II-type to dual Z-scheme system

BackgroundAs a broad-spectrum tetracycline antibiotic, Oxytetracycline (OTC) was widely used in a variety of applications. But, the overuse of OTC had led to the detection of it in food, water and soil, which could present significance risk to human health and cause damage to ecosystem. It was of great significance to develop sensitive detection methods for OTC.Herein, an environmentally friendly photoelectrochemical (PEC) aptasensor was constructed for the sensitive detection of OTC based on CuO-induced BiOBr/Ag2S/PDA (Polydopamine) photocurrent polarity reversal. ResultsBiOBr/Ag2S/PDA composites modified electrode not only produced stable initial anodic photocurrent but also provided attachment sites for the aptamer S1 of OTC by the strong adhesion of PDA. On the other hand, CuO loaded OTC aptamer S2 (Cu–S2) was got through Cu–S bonds. After the target OTC was identified on the electrode surface, CuO was introduced to the surface of ITO/BiOBr/Ag2S/PDA through the specific binding of OTC to S2. This identification process formed dual Z-type heterojunctions and resulted in a remarkable reversal of photocurrent polarity from anodic to cathodic. Under optimization conditions, the PEC aptasensor showed a wide linear range (50 fM ∼ 100 nM), low detection limit (1.9 fM), excellent selectivity, stability and reproducibility for the detection of OTC. Moreover, it was successfully used for the analysis of OTC in real samples of tap water, milk and honey, and had the potential for practical application. SignificanceThis work developed an environmentally friendly photocurrent-polarity-switching PEC aptasensor with excellent selectivity, reproducibility, stability, low LOD and wide linear range for OTC detection. This sensitive system, which was including BiOBr, Ag2S, PDA and CuO were low toxicity, not only reduced the risk of traditional toxic semiconductors to operators and the environment, but can also be used for the detection of real samples, broadening the wider range of applications for BiOBr, Ag2S, PDA and CuO.

The Antimicrobial Effects of Kyrgyz Honey

Honey is a sweet and versatile substance produced by the complex interactions between bees and flowers. Honey is not only a nutrient, but also a bee product with antibacterial properties. Kyrgyzstan's geographical location, including the Tien Shan and Altai mountains, has made it one of the most important beekeeping regions in Central Asia. The rich flora and natural environment of these regions give Kyrgyz honey unique properties. The aim of this study is the determination of the antibacterial activity of honey samples on sale in the Chuy region of Kyrgyzstan. In this context, the antimicrobial effects of different honeys against Staphylococcus aureus and Escherichia coli were investigated using the agar-well diffusion and disc diffusion methods, with the aim of comparing the effectiveness of these methods. This study, conducted on white honey, buckwheat honey and three different multifloral honeys, provides important information for understanding the microbial effects of honey. Although the zones formed were more clearly visible when analysed using the agar-well diffusion method, it was found to be more sensitive than the disc diffusion method. As a result, it has been observed that different types of honey have different antimicrobial effects.

Rapid in situ identification of honey authenticity based on RP-Nano-ESI-MS using online desalting

High-content sugar in honey frequently results in severe matrix effects and requires complex pretreatment prior to analysis, posing significant challenges for the rapid analysis of honey. In this study, the reversal polarity nano-electrospray ionization mass spectrometry (RP-Nano-ESI-MS) analysis was developed for the direct evaluation of honey samples. The results indicated that RP-Nano-ESI-MS significantly mitigated the matrix effects induced by high-content sugar through the implementation of online desalting. Furthermore, RP-Nano-ESI-MS has been proven capable of not only differentiating acacia honey adulterated with 10% rape honey, but also effectively distinguishing six types of honey and exhibiting remarkable proficiency in detecting honey adulteration and botanical traceability. Additionally, RP-Nano-ESI-MS exhibited strong quantitative abilities, effectively characterizing variations in amino acid composition among six types of honey with high stability and reproducibility. Our studies underscore the significant potential of RP-Nano-ESI-MS for its rapid in situ analysis of sugar-rich foods like honey, especially in their authenticity verification.

A Recyclable Luminescent MOF Sensor for On-Site Detection of Insecticide Dinotefuran and Anti-Parkinson's Drug Entacapone in Various Environmental and Biological Specimens.

The monitoring and precise determination of pesticides and pharmaceutical drugs and their residues have become increasingly important in the field of food safety and water contamination issues. Herein, a fluorescent aluminium MOF-based sensor (1) was developed for the selective recognition of neonicotinoid insecticide dinotefuran and anti-Parkinson's drug entacapone. Guest-free MOF 1' exhibited ultra-fast response (<5 s) and ultra-low detection limits of 2.3 and 7.6 nM for dinotefuran and entacapone, which are lower than the previously reported MOF-based sensors. In the presence of other competitive analytes, great selectivity was achieved towards both analytes. The probe was recyclable up to five cycles. The sensing ability was explored towards entacapone in human serum, urine and dinotefuran in real soil, rice, honey samples, different fruits, vegetables, real water specimens and a wide range of pH media. A low-cost, handy MOF-based polymer thin-film composite (1'@PVDF-PVP) was developed for the on-site detection of dinotefuran and entacapone. Mechanistic studies involving analytical techniques and theoretical calculations suggested that FRET and PET are the probable reasons for entacapone sensing whereas IFE is responsible for dinotefuran detection. The entire work presents a low cost, multi-use photoluminescent sensor of entacapone and dinotefuran to address the environmental pollution.

Exploring the Influence of Soil Types on the Mineral Profile of Honey: Implications for Geographical Origin Prediction.

Honey contains a wide range of inorganic substances. Their content can be influenced, i.e., by the type of soil on which the bee pasture is located. As part of this study, the mineral profile of 32 samples of honey from hobby beekeepers from the Czech Republic wasevaluated and then compared with soil types in the vicinity of the beehive location. Pearson's correlation coefficient was used to express the relationship between mineral substances and soil type. There was a high correlation between antroposol and Zn (R = 0.98), Pb (R = 0.96), then between ranker and Mn (0.95), then regosol and Al (R = 0.97) (p < 0.05). A high negative correlation was found between regosol and Mg (R = -0.97), Cr (R = -0.98) and between redzinas and Al (R = -0.97) (p < 0.05). Both positive and negative high correlations were confirmed for phaeozem. The CART method subsequently proved that the characteristic elements for individual soil types are B, Ca, Mg, Ni, and Mn. The soil types of cambisol, fluvisol, gleysol, anthrosol, and kastanozem had the closest relationship with the elements mentioned, and it can therefore be assumed that their occurrence indicates the presence of these soil types within the range of beehive location.

Assessment of antimicrobial activity of Meliponula ferrugica in pathogenic wound samples

Background: Honey is a naturally occurring sweet material that bees make from nectar from flowers, secretions from plant parts, or excretions from plants that suck insects from plant parts. Honey’s antibacterial and antifungal qualities are widely known, and it has been used to heal burns, surgical wounds, and decubitus ulcers. Honey instantly sterilizes wounds affected by Staphylococcus aureus. The honey’s ability to fight bacteria can be ascertained by the nectar’s origin. Many antibiotic resistances among the bacteria that cause infections in humans have directly evolved as a result of the use of antibiotics in clinical practice. Methods: This study found that Bergey’s manual of determinative bacteriology can be used to identify Pseudomonas aeruginosa and Staphylococcus aureus. According to the study’s findings, honey has a capacity to neutralise Pseudomonas aeruginosa and Staphylococcus aureus that have been isolated from infected wounds. Honey’s antibacterial characteristics account for a significant portion of its antibacterial activity. Results: Staphylococcus aureus and Pseudomonas aeruginosa were both susceptible to the antibacterial activity of the honey sample. Pseudomonas aeruginosa exhibited lower activity compared to Staphylococcus aureus. Conclusions: The results of this investigation show that Bergey’s handbook of determinative bacteriology can be used to identify Staphylococcus aureus and Pseudomonas aeruginosa. According to the study’s findings, honey has the ability to neutralise Pseudomonas aeruginosa and Staphylococcus aureus that have been isolated from infected wounds.

Development of Molecularly Imprinted Magnetic Amino Acid-Based Nanoparticles for Voltammetric Analysis of Lead Ions in Honey.

Lead (Pb) is a hazardous metal that poses a significant threat to both the environment and human health. The presence of Pb in food products such as honey can pose a significant risk to human health and is therefore important to detect and monitor. In this study, we propose a voltammetric detection method using molecularly imprinted polymer (MIP) electrodes to detect Pb (II) ions in honey. Pb (II) ion-imprinted amino acid-based nanoparticles with magnetic properties on a carbon paste electrode (MIP-CPE) were designed to have high sensitivity and selectivity towards Pb (II) ions in the honey sample. Zetasizer measurements, electron spin resonance, and scanning electron microscopy were used to characterize magnetic polymeric nanoparticles. The results showed that the voltammetric detection method using MIP-CPE was able to accurately detect Pb (II) ions in honey samples with a low detection limit. The proposed method offers a simple, rapid, cost-effective solution for detecting Pb (II) ions in honey. It could potentially be applied to other food products to ensure their safety for human consumption. The MIP-CPE sensor was designed to have high sensitivity and selectivity towards Pb (II) ions in the honey sample. The results showed that the technique was able to deliver highly sensitive results since seven different concentrations were prepared and detected to obtain an R2 of 0.9954, in addition to a low detection limit (LOD) of 0.0912 µM and a low quantification limit (LOQ) of 0.276 µM. Importantly, the analysis revealed no trace of Pb (II) ions in the honey samples obtained from Cyprus.