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1.
Food Chem ; 370: 131064, 2022 Feb 15.
Artigo em Inglês | MEDLINE | ID: mdl-34537433

RESUMO

Spectrofluorimetry combined with multiway chemometric tools were applied to discriminate pure Aroeira honey samples from samples adulterated with corn syrup, sugar cane molasses and polyfloral honey. Excitation emission spectra were acquired for 232 honey samples by recording excitation from 250 to 500 nm and emission from 270 to 640 nm. Parallel factor analysis (PARAFAC), partial least squares discriminant analysis (PLS-DA), unfolded PLS-DA (UPLS-DA) and multilinear PLS-DA (NPLS-DA) methods were used to decompose the spectral data and build classification models. PLS-DA models presented poor classification rates, demonstrating the limitation of the traditional two-way methods for this dataset, and leading to the development of three-way classification models. Overall, UPLS-DA provided the best classification results with misclassification rates of 4% and 8% for the training and test sets, respectively. These results showed the potential of the proposed method for routine laboratory analysis as a simple, reliable, and affordable tool.


Assuntos
Mel , Análise Discriminante , Contaminação de Medicamentos , Análise Fatorial , Contaminação de Alimentos/análise , Mel/análise , Análise dos Mínimos Quadrados
2.
J Sci Food Agric ; 102(1): 139-146, 2022 Jan 15.
Artigo em Inglês | MEDLINE | ID: mdl-34056719

RESUMO

BACKGROUND: Although the main method for authentication of monofloral honey is pollen analysis, other classification approaches have been also applied. However, the majority of the existing classification models so far have utilized a few honey types or a few honey samples of each honey type, which can lead to inaccurate results. Aiming at addressing this, the goal of the present study was to create a classification model by analysing in total 250 honey samples from 15 different monofloral honey types in ten physicochemical parameters and then, multivariate analysis [multivariate analysis of variance (MANOVA), principal component analysis (PCA) and multi-discriminant analysis (MDA)] was applied in an effort to distinguish and classify them. RESULTS: Electrical conductivity and colour were found to have the highest discriminative power, allowing the classification of monofloral honey types, such as oak, knotgrass and chestnut honey, as well as the differentiation between honeydew and nectar honeys. The classification model had a high predictive power, as the 84.4% of the group cases was correctly classified, while for the cases of chestnut, strawberry tree and sunflower honeys the respective prediction was correct by 91.3%, 95% and 100%, allowing further determination of unknown honey samples. CONCLUSION: It seems that the characterization of monofloral honeys based on their physicochemical parameters through the proposed model can be achieved and further applied on other honey types. The results could contribute to the development of methodologies for the determination of honey's botanical origin, based on simple techniques, so that these can be applied for routine analysis. © 2021 Society of Chemical Industry.


Assuntos
Flores/química , Flores/classificação , Mel/análise , Análise Discriminante , Mel/classificação , Análise Multivariada , Néctar de Plantas/química , Pólen/química , Pólen/classificação , Análise de Componente Principal
3.
Food Chem ; 366: 130584, 2022 Jan 01.
Artigo em Inglês | MEDLINE | ID: mdl-34293541

RESUMO

Monofloral safflower honey (MSH), produced from nectar of the medicinal Carthamus tinctorius L., has been shown with excellent nutritional value and biological activity. However, current MSH authenticity verification is insufficient. Herein, we fully characterized MSH from a metabolomic perspective and proposed a chemical marker for its authentication. Using palynological analysis, we confirmed the botanical origin of MSH. Ultra-high-performance liquid chromatography/quadrupole time-of-flight mass spectrometry (UHPLC/Q-TOF-MS) was applied further to compare MSH/safflower components. MSH and safflowers shared 1297 tentatively identified compounds, of which safflomin A was identified as a reliable characteristic indicator. When applied to commercial non-safflower honeys, none tested safflomin A positive. Solid phase extraction coupled UHPLC/Q-TOF-MS method revealed the LOD and LOQ of safflomin A in MSH to be 0.006 and 0.02 mg/kg, respectively, with concentrations ranging from 0.86 to 3.91 mg/kg. Collectively, safflomin A can be applied as a chemical marker for fingerprinting the botanical origin of safflower honey.


Assuntos
Carthamus tinctorius , Mel , Carthamus tinctorius/genética , Cromatografia Líquida de Alta Pressão , Ácidos Cumáricos , Glucosídeos , Mel/análise , Espectrometria de Massas
4.
Food Chem ; 366: 130597, 2022 Jan 01.
Artigo em Inglês | MEDLINE | ID: mdl-34314935

RESUMO

We investigated the effect of bee species identity and harvesting methods on the chemical composition and antiradical activity of 53 honey samples, produced by six stingless bee species in western Kenya (Kakamega forest). Our results illustrate that none of the assayed parameters significantly varied between the honey samples harvested by "punching holes" (n = 25) and "squeezing" (n = 28) methods. By contrast, species identity drove significant differences in the assayed parameters. Positive correlations between the antiradical activity and the phytochemicals (phenols and flavonoids) were observed, and honeys from Liotrigona sp. exhibited the highest amounts of phenols (214 mg GAE/100 g), flavonoids (73.0 mg QE/100 g) and antiradical activity (76.2%). The physicochemical analyses confirm the need to establish separate stingless bee honey standards for moisture, free acidity, invertase, electrical conductivity, and HMF, as these parameters significantly diverged from the set limits for Apis mellifera honey.


Assuntos
Mel , Himenópteros , Animais , Abelhas , Flavonoides , Quênia , Simpatria
5.
Food Chem ; 367: 130652, 2022 Jan 15.
Artigo em Inglês | MEDLINE | ID: mdl-34388629

RESUMO

Stingless Bees (SB) honey is a product used for different purposes, and it is worth highlighting the presence of metallic species, which can have a nutritional or toxic effect, depending on the metal present and/or the amount ingested. Therefore, the objective of this work was to quickly determine Fe, Mn, Mg and Ca in SB honey, using slurry sampling and FAAS of 88 honey samples from different regions of Brazil. The concentrations varied from < LOD to 364 µg g-1 (Ca). The order for average concentration in the samples was Ca > Mg > Mn > Fe. Through the principal component analysis, it was verified that the SB honey analyzed in the present study has higher contents of the evaluated metals than the honey of the species Apis mellifera and SB honey from other Brazilian states. Theoretical calculation demonstrated that there is a little contribution of SB honey to human diet in relation to the metals, being more significative for Mn.


Assuntos
Mel , Animais , Abelhas , Brasil
6.
Food Chem ; 368: 130835, 2022 Jan 30.
Artigo em Inglês | MEDLINE | ID: mdl-34416487

RESUMO

A novel deep eutectic solvents (DES) was successfully applied as an emulsifier in vortex assisted liquid-liquid microextraction (VALLME) coupled with gas chromatography-mass spectrometry for the determination of organophosphorus pesticides in honey and fruit samples. Based on the result of toxicity study, DES provides new opportunities for the safe delivery and application. The predominant parameters affecting extraction efficiency were thoroughly optimized and studied in detail. Under optimum parameters, the calibration curve was determined in the concentration range of 0.1 to 200 µgL-1 with excellent determination coefficients values of 0.9989 to 0.9999. Limit of detection and limit of quantification were found to be 0.01 - 0.09 µgL-1 and 0.03 - 0.2 µgL-1, respectively. Application of the developed method to honey and fruit samples gave acceptable recovery values 83 - 109% with relative standard deviation below than 9.5%. The suggested approach has also proven to be simple, cost-effective, rapid, and non-toxic in nature.


Assuntos
Mel , Microextração em Fase Líquida , Praguicidas , Frutas/química , Mel/análise , Limite de Detecção , Compostos Organofosforados/toxicidade , Praguicidas/análise , Praguicidas/toxicidade , Solventes
7.
Food Chem ; 368: 130808, 2022 Jan 30.
Artigo em Inglês | MEDLINE | ID: mdl-34419793

RESUMO

As stingless bee honey (SBH) is gaining in popularity in the Malaysian market, it is now prone to adulteration. The higher price of SBH compared to floral honey has led to the use of unusual adulterants such as vinegar and even floral honey to mimic the unique taste and appearance of SBH. Since the current AOAC 998.12 method fails to detect these adulterants as their δ13C values are in the range for C3 plants, untargeted 1H NMR metabolomics was proposed. Principal component analysis of SBH 1H NMR fingerprints was able to distinguish authentic SBHs from adulterated ones down to 1% adulteration level for selected adulterants. Discriminant analysis showed promising results in distinguishing the preliminary datasets of authentic SBHs from the adulterated ones, including discriminating SBHs adulterated with different adulterants derived from C3 and C4 plants. Hence, to assure any emerging adulterant can be detected, all 1H NMR regions should be considered.


Assuntos
Mel , Animais , Abelhas , Contaminação de Medicamentos , Mel/análise , Espectroscopia de Ressonância Magnética , Metabolômica , Espectroscopia de Prótons por Ressonância Magnética
8.
Food Chem ; 371: 131066, 2022 Mar 01.
Artigo em Inglês | MEDLINE | ID: mdl-34543927

RESUMO

The adulteration of honey is common. Recently, High Throughput Sequencing (HTS)-based metabarcoding method has been applied successfully to pollen/honey identification to determine floral composition that, in turn, can be used to identify the geographical origins of honeys. However, the lack of local references materials posed a serious challenge for HTS-based pollen identification methods. Here, we sampled 28 honey samples from various geographic origins without prior knowledge of local floral information and applied a machine learning method to determine geographical origins. The machine learning method uses a resilient backpropagation algorithm to train a neural network. The results showed that biological components in honey provided characteristic traits that enabled accurate geographic tracing for nearly all honey samples, confidently discriminating honeys to their geographic origin with >99% success rates, including those separated by as little as 39 km.


Assuntos
Mel , Sequenciamento de Nucleotídeos em Larga Escala , Mel/análise , Aprendizado de Máquina , Metagenômica , Pólen
9.
Food Chem ; 372: 131279, 2022 Mar 15.
Artigo em Inglês | MEDLINE | ID: mdl-34628116

RESUMO

In this work, a screen-printed electrode (SPE) modified by 1,3/1,4-diazines was prepared for the rapid and sensitive determination of nitrobenzene (NB). The obtained results indicated enhanced cathodic currents of direct NB reduction into hydroxylaminophenol on the diazine-modified SPEs. The enhanced effect was most likely due to the combination of complexation and collisional processes of diazines towards nitroaromatic compounds and also the diazine-modified electrodes' increased electroconductivity. The best electrochemical responses were obtained in square wave voltammetry mode by using the carbazolyl substituted diazines as a component of the sensitive layer, which was assembled by co-electropolymerization with the unsubstituted carbazole on the electrode during 5 cycles. The low detection limit estimated as 0.107 µM and wide linear range (1-1000 µM) enables NB in water and food samples to be determined. The developed modified electrode was applied in the analysis of commercial honey samples.


Assuntos
Mel , Técnicas Eletroquímicas , Eletrodos , Mel/análise , Limite de Detecção , Nitrobenzenos , Água
10.
Food Chem ; 372: 131153, 2022 Mar 15.
Artigo em Inglês | MEDLINE | ID: mdl-34628119

RESUMO

We searched for five neonicotenoids (namely acetamiprid, clothianidin, imidacloprid, thiacloprid and thiamethoxam) in 67 samples of fruits, leaves, pollen and honey via HPLC-MS by employing QueChERs for extraction and purification. Clothianidin was never detected, while imidacloprid was identified in apple (9.2 µg/kg) and pollen (18-28 µg/Kg), thiacloprid in peaches (21-35 µg/kg) and acetamiprid was identified in the hazel leaves (1266 µg/kg), honey (13-26 µg /Kg) and pollen (11-24 µg/kg). Since the levels found of acetamiprid in hazel, honey and pollen were concerning, we accomplished a study to identify and characterize the possible transformation products via a laboratory simulation. The methodology exploited the analysis by HPLC-HRMS and its application in all matrices. We identify twelve transformation products, whose formation involved dimerization, hydroxylation, oxidation, demethylation and cleavage of the molecule. Three of them were also detected in hazel leaves.


Assuntos
Mel , Inseticidas , Frutas/química , Mel/análise , Inseticidas/análise , Neonicotinoides , Nitrocompostos , Tiametoxam
11.
Sci Total Environ ; 805: 150292, 2022 Jan 20.
Artigo em Inglês | MEDLINE | ID: mdl-34536857

RESUMO

Since the loss of honeybees in hives could have a greater impact on colony health than those of their foraging bees, it is imperative to know beehives' pesticide exposure via oral ingestion of contaminated in-hive matrices. Here, a 4-year monitoring survey of 64 pesticide residues in pollen, nectar and related beehive matrices (beebread and honey) from China's main honey producing areas was carried out using a modified version of the QuEChERS multi-residue method. The results showed that 93.6% of pollen, 81.5% of nectar, 96.6% of beebread, and 49.3% of honey containing at least one target pesticide were detected either at or above the method detection limits (MDLs), respectively, with up to 19 pesticides found per sample. Carbendazim was the most frequently detected pesticide (present in >85% of the samples), and pyrethroids were also abundant (median concentration = 134.3-279.0 µg/kg). The transfer of pesticides from the environment into the beehive was shown, but the pesticide transference ratio may be affected by complex factors. Although the overall risk to colony health from pesticides appears to be at an acceptable level, the hazard quotient/hazard index (HQ/HI) value revealed that pyrethroids were clearly the most influential contributor, accounting for up to 45% of HI. Collectively, these empirical findings provide further insights into the extent of contamination caused by agricultural pesticide use on honeybee colonies.


Assuntos
Mel , Resíduos de Praguicidas , Praguicidas , Urticária , Animais , Abelhas , Mel/análise , Resíduos de Praguicidas/análise , Praguicidas/análise , Pólen/química
12.
Environ Monit Assess ; 193(12): 785, 2021 Nov 09.
Artigo em Inglês | MEDLINE | ID: mdl-34755261

RESUMO

Pollen metabarcoding is emerging as a powerful tool for ecological research and offers unprecedented scale in citizen science projects for environmental monitoring via honey bees. Biases in metabarcoding can be introduced at any stage of sample processing and preservation is at the forefront of the pipeline. While in metabarcoding studies pollen has been preserved at - 20 °C (FRZ), this is not the best method for citizen scientists. Herein, we compared this method with ethanol (EtOH), silica gel (SG) and room temperature (RT) for preservation of pollen collected from hives in Austria and Denmark. After ~ 4 months of storage, DNAs were extracted with a food kit, and their quality and concentration measured. Most DNA extracts exhibited 260/280 absorbance ratios close to the optimal 1.8, with RT samples from Austria performing slightly worse than FRZ and SG samples (P < 0.027). Statistical differences were also detected for DNA concentration, with EtOH samples producing lower yields than RT and FRZ samples in both countries and SG in Austria (P < 0.042). Yet, qualitative and quantitative assessments of floral composition obtained using high-throughput sequencing with the ITS2 barcode gave non-significant effects of preservation methods on richness, relative abundance and Shannon diversity, in both countries. While freezing and ethanol are commonly employed for archiving tissue for molecular applications, desiccation is cheaper and easier to use regarding both storage and transportation. Since SG is less dependent on ambient humidity and less prone to contamination than RT, we recommend SG for preserving pollen for metabarcoding. SG is straightforward for laymen to use and hence robust for widespread application in citizen science studies.


Assuntos
Código de Barras de DNA Taxonômico , Mel , Animais , Abelhas , Viés , Monitoramento Ambiental , Pólen
13.
An Acad Bras Cienc ; 93(suppl 4): e20200591, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34730615

RESUMO

We investigated ten honey samples from the Discovery Coast of Bahia, Brazil, to confirm the three predominant flower sources indicated by regional beekeepers: Brazilian peppertree - Schinus terebinthifolia Raddi; eucalyptus - Eucalyptus L'Hér. spp.; and velame - Croton L. spp.. The honeys were collected in five Southern Bahia municipalities - Belmonte, Eunápolis, Guaratinga, Itabela and Porto Seguro. The samples underwent acetolysis and, after slides mounting, the pollen types were identified and counted to determine the frequency classes. The pollen spectra revealed 31 pollen types in 27 genera and 17 families. The palynological analysis confirmed the predominant eucalyptus flower source indicated for four honey samples from Belmonte, Eunápolis, Itabela and Porto Seguro. Three honey samples previously indicated with predominant eucalyptus and velame flower sources had no predominant pollen. Eucalyptus predominated as the main flower source for another three samples previously indicated by beekeepers as Brazilian peppertree and velame. We conclude that regional honeys marketed as having a predominant flower source may have distinct botanical origin. This demands further research aimed at reviewing which bee plants provide resources for monofloral, bifloral and plurifloral honeys in the Bahian Discovery Coast.


Assuntos
Anacardiaceae , Croton , Eucalyptus , Mel , Animais , Abelhas , Flores , Mel/análise , Pólen
14.
Niger J Clin Pract ; 24(11): 1694-1705, 2021 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-34782511

RESUMO

Background: To determine and compare the effects of different honey types on wound healing in an animal model, with silver sulfadiazine as the standard treatment. Materials and Methods: Five different groups were created with eight rats in each group. Partial-depth burns were created, and different types of honey and silver sulfadiazine were applied to the respective groups. Rats were monitored for 21 days, and wound cultures were obtained. Histopathological evaluation and cytokine analysis of final tissue samples were performed. In addition, the biochemical and microbiological analyses of the four types of honey used in the study were performed. Results: Wound shrinkage comparisons showed that all four honey-treated groups (Bingöl, Konya, cotton, and citrus) performed better than the silver sulfadiazine group (honey groups, respectively, 86.86%, 84.72%, 89.61%, and 95.33% vs. control 82.90%). However, only citrus honey caused a significant difference in wound shrinkage rate when compared with other groups as well with control group (95.34% vs. 82.9%, P < 0.05). In tissues, all honey groups had higher cytokine (interleukin [IL]-6, IL-1B, tumor necrosis factor [TNF]-α) values compared with controls (P < 0.001). Honey analysis showed a significant inverse relationship between Fe (iron) and the number of diastases. Conclusions: The results of this study support the role of honey in wound healing, due to its antibacterial and immunomodulatory effects. More studies are needed to identify the role of honey composition in wound healing.


Assuntos
Anti-Infecciosos Locais , Queimaduras , Mel , Animais , Queimaduras/tratamento farmacológico , Ratos , Sulfadiazina de Prata , Cicatrização
15.
Molecules ; 26(19)2021 Sep 23.
Artigo em Inglês | MEDLINE | ID: mdl-34641296

RESUMO

In recent years, many analyses have been carried out to investigate the chemical components of food data. However, studies rarely consider the compositional pitfalls of such analyses. This is problematic as it may lead to arbitrary results when non-compositional statistical analysis is applied to compositional datasets. In this study, compositional data analysis (CoDa), which is widely used in other research fields, is compared with classical statistical analysis to demonstrate how the results vary depending on the approach and to show the best possible statistical analysis. For example, honey and saffron are highly susceptible to adulteration and imitation, so the determination of their chemical elements requires the best possible statistical analysis. Our study demonstrated how principle component analysis (PCA) and classification results are influenced by the pre-processing steps conducted on the raw data, and the replacement strategies for missing values and non-detects. Furthermore, it demonstrated the differences in results when compositional and non-compositional methods were applied. Our results suggested that the outcome of the log-ratio analysis provided better separation between the pure and adulterated data and allowed for easier interpretability of the results and a higher accuracy of classification. Similarly, it showed that classification with artificial neural networks (ANNs) works poorly if the CoDa pre-processing steps are left out. From these results, we advise the application of CoDa methods for analyses of the chemical elements of food and for the characterization and authentication of food products.


Assuntos
Crocus/química , Contaminação de Alimentos/análise , Mel/análise , Tecnologia de Alimentos , Redes Neurais de Computação , Análise de Componente Principal
16.
Compr Rev Food Sci Food Saf ; 20(6): 5393-5420, 2021 11.
Artigo em Inglês | MEDLINE | ID: mdl-34626076

RESUMO

Honey is a natural food of worldwide economic importance. Over the last decades, its potential for food, medical, cosmetical, and biotechnological applications has been widely explored. One of the major safety issues regarding such applications is its susceptibility to being contaminated with bacterial and fungi spores, including pathogenic ones, which may impose a hurdle to its consumption in a raw state. Another factor that makes this product particularly challenging relies on its high sugar content, which will lead to the formation of hydroxymethylfurfural (HMF) when heated (due to Maillard reactions). Moreover, honey's bioactivity is known to be affected when it goes through thermal processing due to its unstable and thermolabile components. Therefore, proper food processing methodologies are of utmost importance not only to ensure honey safety but also to provide a high-quality product with low content of HMF and preserved biological properties. As so, emerging food processing technologies have been employed to improve the safety and quality of raw honey, allowing, for example, to reduce/avoid the exposure time to high processing temperatures, with consequent impact on the formation of HMF. This review aims to gather the literature available regarding the use of conventional and emergent food processing technologies (both thermal and nonthermal food processing technologies) for honey decontamination, preservation/enhancement of honey biological activity, as well as the sensorial attributes.


Assuntos
Mel , Bactérias , Manipulação de Alimentos , Mel/análise , Temperatura Alta
17.
Molecules ; 26(20)2021 Oct 15.
Artigo em Inglês | MEDLINE | ID: mdl-34684803

RESUMO

Honey is prone to be adulterated through mixing with sugars, cheap and low-quality honey, and other adulterants. Consumption of adulterated honey may cause several health issues such as weight gain, diabetes, and liver and kidney dysfunction. Therefore, studying the impact of consumption of adulterated honey on consumers is critical since there is a lack of study in this field. Hence, the aims of this paper were: (1) to determine the lethal concentration (LC50) of adulterated honey using zebrafish embryo, (2) to elucidate toxicology of selected adulterated honey based on lethal dose (LD50) using adult zebrafish, (3) to determine the effects of adulterated honey on histological changes of zebrafish, and (4) to screen the metabolites profile of adulterated honey by using zebrafish blood serum. The LC50 of Heterotrigona itama honey (acacia honey) and its sugar adulterants (light corn sugar, cane sugar, inverted sugar, and palm sugar in the proportion of 1-3% (w/w) from the total volume) was determined by the toxicological assessment of honey samples on zebrafish embryos (different exposure concentrations in 24, 48, 72, and 96 h postfertilization (hpf)). Pure H. itama honey represents the LC50 of 34.40 ± 1.84 (mg/mL) at 96 hpf, while the inverted sugar represents the lowest LC50 (5.03 ± 0.92 mg/mL) among sugar adulterants. The highest concentration (3%) of sugar adulterants were used to study the toxicology of adulterated honey using adult zebrafish in terms of acute, prolong-acute, and sub-acute tests. The results of the LD50 from the sub-acute toxicity test of pure H. itama honey was 2.33 ± 0.24 (mg/mL). The histological studies of internal organs showed a lesion in the liver, kidney, and spleen of adulterated treated-honey groups compared to the control group. Furthermore, the LC-MS/MS results revealed three endogenous metabolites in both the pure and adulterated honey treated groups, as follows: (1) S-Cysteinosuccinic acid, (2) 2,3-Diphosphoglyceric acid, and (3) Cysteinyl-Tyrosine. The results of this study demonstrated that adulterated honey caused mortality, which contributes to higher toxicity, and also suggested that the zebrafish toxicity test could be a standard method for assessing the potential toxicity of other hazardous food additives. The information gained from this research will permit an evaluation of the potential risk associated with the consumption of adulterated compared to pure honey.


Assuntos
Acacia/química , Contaminação de Alimentos/análise , Mel/análise , Mel/toxicidade , Açúcares/análise , Açúcares/toxicidade , Animais , Abelhas , Humanos , Rim/efeitos dos fármacos , Rim/patologia , Dose Letal Mediana , Fígado/efeitos dos fármacos , Fígado/patologia , Malásia , Metaboloma , Baço/efeitos dos fármacos , Baço/patologia , Espectrometria de Massas em Tandem , Testes de Toxicidade Aguda/métodos , Peixe-Zebra/sangue , Peixe-Zebra/embriologia
18.
Food Funct ; 12(19): 8920-8931, 2021 Oct 04.
Artigo em Inglês | MEDLINE | ID: mdl-34606549

RESUMO

The effect of adding the chokeberry fruit additive to rape honey was studied with regard to the physicochemical properties and biological activity. Two samples of dried powdered fruits were used to enrich the honey (1 and 4% v/v) during creaming. The obtained products were characterized in terms of sugar content, acidity, conductivity, total phenolic, flavonoid and anthocyanin contents and HPTLC polyphenol profiles. The antioxidant properties of enriched honeys were studied in vitro (FRAP, DPPH, and ABTS) and in vivo using a S. cerevisiae model. The inhibitory effect against 5 bacterial strains and coronavirus surrogate bacteriophage phi6 was tested. The addition of chokeberry significantly modified the physicochemical properties of honey and enhanced its antioxidant potential (from 3 to 15 times). Using HPTLC analysis, the occurrence of flavonoids, phenolic acids, and anthocyanins in chokeberry enriched honey was determined. The modified honey protected yeast cells against H2O2-induced oxidative stress when used as a pretreatment agent. All tested bacteria were susceptible to enriched honey in a dose-dependent manner. The antiviral potential of enriched honey against the model bacteriophage was discovered for the first time. In terms of numerous health benefits determined, honey enriched with Aronia melanocarpa fruits can be considered as an interesting novel functional food, which may increase the consumption of chokeberry superfruits.


Assuntos
Frutas , Alimento Funcional , Mel , Photinia , Extratos Vegetais/química , Antibacterianos/farmacologia , Antioxidantes/química , Antioxidantes/farmacologia , Compostos de Bifenilo/química , Humanos , Picratos/química , Extratos Vegetais/farmacologia , Saccharomyces cerevisiae/efeitos dos fármacos
19.
Anal Chem ; 93(42): 14287-14292, 2021 10 26.
Artigo em Inglês | MEDLINE | ID: mdl-34637621

RESUMO

Sensitive and precise determination of chloramphenicol (CAP) is of great significance for human health due to its high risk in trace amounts. Solid-state artificial nanochannels are expected to be highly promising sensing devices owing to single-molecule sensitivity, target-specific selectivity, and portability. Herein, we report an aptamer self-assembly-functionalized artificial nanochannel-based sensor for highly sensitive and precise determination of CAP. Aptamer self-assembly (AAs) served as the specific recognition component and were in situ grown on the surface of stable anodic aluminum oxide (AAO) nanochannels to develop an AAs@AAO nanochannel-based sensor. Selective interaction with CAP led to the disassembly of AAs and sensitive current change of AAs@AAO nanochannels, allowing sensitive and precise sensing of CAP in complex food samples. The developed AAs@AAO nanochannel-based sensor showed a wide linear range from 0.32 to 1600 pg. mL-1, low limit of detection (LOD) of 0.1 pg. mL-1, high precision with relative standard deviation of 2.9%, and quantitative recoveries of 93.4-102.2% for CAP in milk, milk powder, and honey samples. This work proposes a versatile nanochannel-based platform for facile, sensitive, and precise sensing of hazardous residues in food samples.


Assuntos
Técnicas Biossensoriais , Mel , Animais , Cloranfenicol/análise , Eletrodos , Mel/análise , Humanos , Limite de Detecção , Leite/química
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