Uso do laser de baixa potência para o tratamento de parestesia: uma revisão de literatura / Use of low-level laser to treat paresthesia: a literature review

Introdução: A parestesia é uma neuropatia que afeta a função sensorial. O Laser de Baixa Potência (LBP), por sua vez, apresenta propriedades analgésicas, bioestimuladoras e reparadoras. Objetivo: Realizar um levantamento na literatura científica sobre os aspectos gerais e benefícios do LBP no manejo terapêutico da parestesia, além de identificar a classificação e métodos de obtenção do diagnóstico desta condição. Materiais e Métodos: Tratou-se de uma revisão narrativa da literatura através da busca nas plataformas PubMed, SciELO, LILACS e Google Schoolar. Após o cruzamento dos descritores com os operadores booleanos e aplicação dos critérios de inclusão/exclusão, 26 estudos foram incluídos. Resultados: A parestesia pode ser classificada em neuropraxia, axonotmese e neurotmese, subdivididas em Grau I ao V. Seu diagnóstico pode ser executado através de testes subjetivos e objetivos. O LBP compreende em um dispositivo tecnológico com efeitos analgésico, anti-inflamatório e fotobiomodulador, que estimula o reparo neural. Os estudos mostram que a dosimetria nos comprimentos de onda vermelho e infravermelho, aplicação intra e extra oral, e com mais de uma sessão semanal exerce efeito modulatório positivo do reparo neural, com retorno progressivo da atividade sensitiva. Além disso, os estudos trazem uma ampla variação no número de pontos de aplicação, bem como no tempo de irradiação e quantidade de sessões, em virtude da extensão e tempo de diagnóstico da parestesia. Considerações finais: Apesar da alta complexidade da parestesia, o LBP exerce efeitos benéficos através do retorno da sensibilidade parcial ou total, além de ser um dispositivo bem tolerado pelo organismo e minimamente invasivo.

Introduction: Paresthesia is a neuropathy that affects sensory function. The Low-Level Laser (LLL), in turn, has analgesic, biostimulating and reparative properties. Purpose: Carry out a survey at the scientific literature on the general aspects and benefits of LLL in the therapeutic management of paresthesia in addition to identifying the classification and methods for obtaining a diagnosis of this condition. Materials and Methods: It was a narrative literature review through search in platforms PubMed, SciELO, LILACS and Google Schoolar. After crossing the descriptors with boolean operators and applying the inclusion/exclusion criteria, 26 articles were included in this study. Results: Paresthesia can be classified into neuropraxia, axonotmesis and neurotmesis, subdivided into Grades I to V. Its diagnostic can be carried out through subjective and objective tests. The LLL consists in a technological device with analgesic, anti-inflammatory and photobiomodulatory effects, which stimulates neural repair. Studies show that LLL in dosimetry at red and infrared wavelengths with intra and extra oral application and with more than one-week use exerts a positive modulatory effect on neural repair, with a progressive return of sensory activity. Furthermore, the studies show a wide variation in the number of application points, as well as the irradiation time and number of sessions, due to the extent and time of diagnosis of paresthesia. Final Considerations: Despite the high complexity of paresthesia, the LLL has beneficial effects through the return of partial or total sensitivity in addition being a device well tolerated by the body and minimally invasive.

Effect of temperature regulation on microbial community, volatile flavours, amino acid profiles, and iridoid glycosides during noni (Morinda citrifolia L.) fruit fermentation.

Noni fruit has an unpleasant flavour but is highly bioactive. Therefore, it is necessary to clarify the effect of temperature regulation on quality of fermented noni fruit. In the present study, the formation of flavours, amino acid profiles, and iridoid glycosides during noni fruit fermentation at different temperatures were investigated. We initially found that different temperatures affected core microbial communities. The general evolutionary trends of Acetobacter and Gluconobacter were influenced by different temperatures. Furthermore, high temperature helped maintain low octanoic and hexanoic acids. Subsequently, we found that high temperature improved total amino acids and iridoid glycosides. The correlation network analysis revealed that bacterial communities impacted the quality (volatile flavours, amino acid profiles, and iridoid glycosides) of fermented noni fruit. Overall, altering the temperature induced variations in microbial communities and quality during the noni fruit fermentation process. These results are instrumental in the pursuit of quality control in natural fermentation processes.

Fermentative and metabolic screening of candidate yeast strains hybridisable with Saccharomyces cerevisiae for beer production optimisation.

Yeast optimisation has been crucial in improving the quality and efficiency of beer production, one of the world's most widely consumed beverages. In this context, rare mating hybridisation is a promising technique for yeast optimization to generate novel and improved non-GMO strains. The limitation of this technique is the lack of knowledge and comparable data on yeast strains hybridisable to Saccharomyces cerevisiae, probably the most important yeast species in beer production. Yeast from the genera Saccharomyces, Naumovozyma, Nakaseomyces and Kazachstania have been described to be able to form hybrids with S. cerevisiae. In the present study, 242 yeast strains were analysed under brewing conditions, including Saccharomyces species (S. cerevisiae, S. kudriavzevii, S. uvarum, S. eubayanus, S. paradoxus, S. mikatae, S. jurei and S. arboricola) and non-Saccharomyces species (Naumovozyma, Nakaseomyces and Kazaschtania), representing the full genetic variability (species and subpopulations) described up to the start of the study. The fermentation profile was analysed by monitoring weight loss during fermentation to determine kinetic parameters and CO2 production. Metabolic analysis was performed to determine the concentration of sugars (maltotriose, maltose and glucose), alcohols (ethanol, glycerol and 2,3-butanediol) and organic acids (malic acid, succinic acid and acetic acid). Maltose and maltotriose are the predominant sugars in beer wort. The ability to consume these sugars determines the characteristics of the final product. Dataset comparisons were then made at species, subpopulation and isolation source level. The results obtained in this study demonstrate the great phenotypic variability that exists within the genus Saccharomyces and within each species of this genus, which could be useful in the generation of optimised brewing hybrids. Yeasts with different fermentative capacities and fermentative behaviours can be found under brewing conditions. S. cerevisiae, S. uvarum and S. eubayanus are the species that contain strains with similar fermentation performance to commercial strains.

Epidemiology of Staphylococcus aureus food isolates: Comparison of conventional methods with whole genome sequencing typing methods.

A variety of methods exists for typing bacteria. However, guidelines for the application and interpretation of typing tools in epidemiologic investigations of Staphylococcus aureus are lacking. This study aimed to identify appropriate typing methods for S. aureus population studies and outbreak investigation. We compared pulsed-field gel electrophoresis (PFGE), seven loci multi-locus sequence typing (MLST), core genome MLST (cgMLST), core single nucleotide polymorphism (cSNP), and enterotoxin (se/SE) profiles on 351 S. aureus isolates. The discriminatory power, concordance, and congruence of typing results were assessed. cgMLST, cSNP, and PFGE yielded the highest discrimination value, followed by se/SE typing and MLST. The best concordance of results was found between cgMLST and cSNP, while the best congruence was observed for cgMLST and cSNP with all methods, followed by PFGE with MLST. The strengths and weaknesses of each method are highlighted. For population structure, cgMLST and cSNP performed better than PFGE and MLST in terms of resolution of clusters and in phylogenetic inference. Enterotoxin profiles matched with MLST groups, suggesting the use of se/SE typing to predict MLST results. For the retrospective analysis of 31 outbreaks, all methods performed almost equally to discriminate epidemiologically related strains and can be used to unambiguously distinguish outbreak strains.

Metagenomics-based insights into the microbial community dynamics and flavor development potentiality of artificial and natural pit mud.

Strong-flavor Baijiu (SFB) production has relied on pit mud (PM) as a starter culture. The maturation time of natural PM (NPM) is about 30 years, so artificial PM (APM) with a shorter maturation time has attracted widespread attention. This study reveals the microbial and functional dissimilarities of APM and NPM, and helps to elucidate the different metabolic roles of microbes during substrate degradation and flavor formation. Significant differences in the microbial community were observed between APM and NPM, manifesting as variations in the abundance of core microorganisms. Total of 187 high-quality metagenome-assembled genomes (MAGs) were obtained based on the metagenomic binning technology, mainly including Firmicutes (n = 106), Bacteroidota (n = 15) and Chloroflexota (n = 14). Furthermore, the relative concentration of flavor compounds in 4-year APM was similar to those in 30-year NPM, but different from those in 100-year NPMs. Methanosarcina, Methanobacterium, Methanoculleus, Anaerolineae bacterium and Aminobacterium were the key bacteria responsible for the flavor differences. From a functional perspective, amino acid and carbohydrate metabolism were key functions of PM microbial, and showed differences between APM and NPM. Finally, substrate degradation and flavor generation pathways were found to exist in multiple microorganisms. Combine the relative abundance of microorganisms with the absolute abundance of enzymes, Clostridium, Lactobacillus, Petrimonas, Methanoculleus, Prevotella, Methanobacterium, Methanosarcina, Methanothrix, Proteiniphilum, Bellilinea, Anaerolinea, Anaeromassilibacillus, Syntrophomonas and Brevefilum were identified as the key microorganisms in APM and NPM.

Metagenomics reveals the differences in flavor quality of rice wines with Hongqu and Maiqu as the fermentation starters.

Chinese rice wine (CRW) is an alcoholic beverage made mainly from rice or grain through saccharification and fermentation with Jiuqu (starter). Jiuqu makes an important contribution to the formation of the flavor characteristics of rice wine. Hongqu and Maiqu are two kinds of Jiuqu commonly used in CRW brewing. This study compared the microbial community, biogenic amines (BAs), and volatile flavor components (VFCs) of two types of rice wine brewed with Hongqu and Maiqu as fermentation agents. The results showed that the amino acid content of rice wine fermented with Maiqu (MQW) was significantly lower than that of rice wine fermented with Hongqu (HQW). On the contrary, the majority of BAs in MQW were significantly higher than those in HQW, except for putrescine. Multivariate statistical analysis indicated that most of the VFCs detected were enriched in HQW, while ethyl 3-phenylpropanoate and citronellol were enriched in MQW. The results of metagenomic analysis showed that Weissiella, Enterobacter, Leuconostoc, Kosakonia, Saccharomyces, Aspergilus and Monascus were identified as the predominant microbial genera in HQW brewing process, while Saccharopolyspora, Lactococcus, Enterobacter, Leuconostoc, Kosakonia, Pediococcus, Pantoea, Saccharomyces, Aspergillus, Lichtheimia and Nakaseomyces were the predominant microbial genera in MQW brewing. In addition, some VFCs and BAs were strongly correlated with dominant microbial genera in HQW and MQW brewing. Bioinformatics analysis showed that the abundance of genes involved in BAs synthesis in MQW brewing was much higher than that in HQW brewing, while the abundances of genes related to metabolic pathway of characteristic VFCs in HQW brewing were obviously higher than those in MQW, which explained the differences in flavor quality between HQW and MQW from the perspective of microbial genes. Collectively, these findings provide scientific evidence for elucidating the contribution of different microbial genera to the formation of flavor quality of CRW, and is helpful for screening beneficial microbes to enhance flavor quality and drinking comfort of CRW.

Microbial composition and dynamics in environmental samples from a ready-to-eat food production facility with a long-term colonization of Listeria monocytogenes.

Listeria monocytogenes is a foodborne pathogen of significant concern for the food industry due to its remarkable ability to persist through safety control efforts, posing a subsequent health threat to consumers. Understanding the microbial communities coexisting with L. monocytogenes in food processing environments provides insights into its persistence mechanisms. We investigated the microbial communities on non-food contact surfaces in a facility producing ready-to-eat foods, known to harbour a ST121 L. monocytogenes strain over multiple years. A 10-week sampling period was coordinated with the company and public health authorities. Metagenomic analysis revealed a stable microbial composition dominated by Pseudomonas fluorescens. While highly related populations were present in high-care production zones, distinctive taxa characteristic of specific areas were observed (e.g., Sphingomonas aerolata). Although Listeria spp. were not detected in metagenomes, they were detected in cultured samples, suggesting low relative abundance in factory settings. The findings suggest that a stable resident microbiota, with distinct adaptations to different areas within the factory, was selected for by their collective ability to survive control efforts in this environment. Listeria spp. was a member of this microbial community, albeit at low abundance, and may likewise benefit from the mutualism of the overall microbial community.

Interaction between a Lactococcus lactis autochthonous starter and a raw goat milk microbial community during long-term backslopping.

Traditional cheesemaking processes often involve backslopping practice. However, over successive inoculations, acidification deficiencies may arise. In such cases, adding a starter is recommended to restore the ecosystem stability. This study examines the impact of an autochthonous starter composed of three Lactococcus lactis strains on a raw goat milk microbial community during their evolution. Bacterial composition and technological features (acidification and aroma) were analyzed during communities' evolution over 800 generations. 16S rRNA gene metabarcoding showed that Lactococcus lactis strains predominated. The raw goat milk community acidification capacities varied early in the evolution and then remained stable. Adding the L. lactis starter to this community stabilized the ecosystem from the beginning of the evolution. The acetoin production was associated with the starter presence, consistent with the establishment of the diacetylatis biovar strain from the starter in the raw goat milk community throughout the evolution. Increased or decreased production of some volatile organic compounds when the starter was added revealed a specific aroma footprint due to interactions between the two communities. This study showed that adding a starter could help to achieve the maximum acidification rate from the early inoculation cycles and could significantly modify the aroma profile during long-term backslopping.

Prevalence and genomic characteristics of becAB-carrying Clostridium perfringens strains.

Clostridium perfringens, as a foodborne pathogen, can cause various intestinal diseases in both humans and animals according to its repertoire of toxins. In recent years, a multitude of studies have highlighted its threat to infants and young children. C. perfringens carries numerous toxins, with the newly identified BEC toxin confirmed as the second toxin to cause diarrheal illness, after CPE. However, the global dissemination of C. perfringens strains carrying becAB genes, which encode BEC toxins, has not been extensively studied. Following epidemiological surveillance of the prevalence of C. perfringens from different sources in various provinces of China, we identified two becAB-carrying strains and one strain carrying a sequence similar to becAB from distinct provinces and sources. When combined with genomic analysis of other becAB-carrying C. perfringens strains from public databases, we found that becAB was present in strains from different lineages. Our analysis of the plasmid and genetic environment corroborates previous findings on becAB-carrying strains, confirming that it currently achieves horizontal transmission through one type of evolutionarily conserved Pcp plasmid. This study provides a comprehensive analysis of the prevalence and transmission patterns of the newly emerged toxin gene locus, becAB, in C. perfringens. Despite the relatively low identification rate of becAB-carrying strains, their potential impact requires ongoing surveillance and investigation of their features, particularly their antimicrobial resistance.

Salmonella in black pepper (Piper nigrum): From farm to processing.

Contamination of black pepper (Piper nigrum) with Salmonella is a frequent problem in retail and imported shipments. However, there is scarce information about the prevalence of the pathogen in the initial stages of black pepper production chain. This study sought to bridge this gap in research by determining the prevalence, as well as quantifying, and identifying the main Salmonella serovars present during black pepper primary production and processing. Black pepper (233) and environmental (175) samples were collected from farms (354) and processing plants (54) in Espirito Santo, Brazil. The pathogen was detected in soil (16.7 %), drying waste (20.4 %), fallen berries (3.7 %), threshed berries (14.3 %), and dried peppercorns (22.2 %) collected from farms. Salmonella was also detected in samples of raw material (11.1 %), export products (16.7 %), and processing waste (16.7 %) collected from processing plants. A total of 12 serotypes were identified, and Salmonella Javiana showed the highest prevalence (38.8 %). According to the results, contamination occurring in the post-harvest phase is not eliminated or reduced during processing. Therefore, the adoption of good agricultural and manufacturing practices, supported by hazard analysis and critical control points (HACCP), is crucial to mitigate this kind of contamination. These practices should be combined with decontamination treatments to ensure the safety of the final product.

Catalogue of surface proteins of Lactiplantibacillus plantarum strains of dairy and vegetable niches.

Lactiplantibacillus plantarum (formerly Lactobacillus plantarum) exhibits relevant probiotic and technological features and is widely used in food industries, improving flavour, texture and organoleptic properties of fermented products. Cell-surface proteins have a key role in the molecular mechanisms responsible for healthy effects, being the first actors in the bacteria - host interactions. Proteins present on the surface of four L. plantarum strains (two isolated from vegetable matrices and two from dairy products) were identified by proteomics with the aim to gain a comprehensive picture of differences in protein profiles potentially related to the habitat of origin and specific properties of the analyzed strains. Results highlighted a more diversified pattern of surface proteins in strains from vegetable matrices compared to those from dairy matrices (>500 proteins vs about 200 proteins, respectively). The four strains shared a core of 143 proteins, while 445 were specifically present in strains from vegetable matrices and 26 were peculiar of strains from dairy origin. Sortase A, involved in adhesion, and choloylglycine hydrolase (bile salt hydrolase) were detected only in strains from vegetable matrices. The peculiar molecular functions of identified proteins suggested that these strains, and in particular L. plantarum S61, could have a significant probiotic and biotechnological potential.

Characterization and long-read sequencing of biofilms formed by the microbiota present on inert surfaces in poultry slaughterhouses.

Cross-contamination from inert slaughterhouse surfaces is among the main sources of contamination of poultry. The objective of the research reported here was to characterize the biofilms formed by the microbiota present on various surfaces in two poultry slaughterhouses in north-western Spain. Forty-four samples (22 from each slaughterhouse) were taken by swab rubbing at different points along the processing line (from stunning to cutting). The microbiota on all surfaces was able to form biofilms, which were studied by scanning confocal laser microscopy. The total biovolume in the observation field of 16,078.24 µm2 ranged from 22,106.8 ± 5544.3 µm3 to 414,229.6 ± 1621.0 µm3. Average values were higher in abattoir A than in abattoir B, with significant differences (P < 0.05) between surfaces. The percentage of biovolume of Gram-positive bacteria ranged between 0.02 % and 5.38 %. The highest percentages of Gram-positive bacteria were detected towards the beginning of the processing line. The microbiota of the biofilms was identified using long-read sequencing techniques (Oxford Nanopore). The predominant genera (found in >50.0 % of the biofilms) were Pseudomonas, Citrobacter, Klebsiella, Serratia, Escherichia, Enterobacter, Stenotrophomonas, Salmonella, Shewanella, Acinetobacter and Aeromonas. In addition, some pathogenic bacteria were detected, including Salmonella (31 surfaces), Yersinia enterocolitica (12), Escherichia coli O157:H7 (6), Campylobacter spp. (4) and Listeria monocytogenes (3). This research work has permitted identification of the most contaminated surfaces in poultry abattoirs and can serve as a starting point for the design of more effective cleaning and disinfection protocols.

Application of a novel lytic phage to control enterotoxigenic Escherichia coli in dairy food matrices.

A novel Escherichia coli phage designated as EC BD was isolated from cattle dung samples. Transmission electron microscopy demonstrated that the morphology of phage EC BD belongs to the family Myoviridae. The efficiency of plating (EOP) and scanning electron microscopy revealed the strong lytic activity of phage EC BD with a large burst size and a short latent period. Whole genome data analysis suggested that phage EC BD was inclined towards being completely lytic and revealed the absence of toxins, virulence and antibiotic resistance genes. Phylogenomic analysis of phage EC BD receptor binding proteins (RBPs) showed 74-100 % similarity with sixteen Enterobacter phages, representing their broad host range. The phage genome contains 262 ORFs, of which 107 displayed a unique pattern and additionally, the presence of a tRNA gene directed their fast replication and high stability. Comparative genome analysis suggested phage EC BD as a novel member of the genus Duplodnaviria and family Myoviridae. The efficiency of phage EC BD was determined in dairy food matrices (milk, cheese and paneer) artificially contaminated with enterotoxigenic E. coli strains ETEC H10407, ETEC K 12S and ETEC PB 176 with a significant reduction of 4.8, 6.0 and 5.3 log CFU/mL in milk and a substantial 4.9, 5.8 and 4.6 log CFU/mL reduction in cheese samples after 6 days at low storage temperature (4 °C); furthermore, within the similar conditions, paneer samples showed 4, 5.1 and 3.5 log CFU/mL reduction. EC BD phage treatment represents the complete eradication of three ETEC strains in liquid and semisolid dairy food matrices. This study suggested that phage EC BD might have potential as a biocontrol approach against ETEC foodborne infections.

The applicability of the SERS technique in food contamination testing - The detailed spectroscopic, chemometric, genetic, and comparative analysis of food-borne Cronobacter spp. strains.

Microorganisms assigned as Cronobacter are Gram-negative, facultatively anaerobic, bacteria widely distributed in nature, home environments, and hospitals. They can also be detected in foods, milk powder, and powdered infant formula (PIF). Additionally, as an opportunistic pathogen, Cronobacter may cause serious infections, sometimes leading to the death of neonates and infants. Thus, it is essential to test food products for the presence of Cronobacter spp. The currently used standard described in ISO 22964:2017 is a laborious method that could be easily replaced by surface-enhanced Raman scattering (SERS). Here, we demonstrate that SERS allows the identification of food-borne bacteria belonging to Cronobacter spp. based on their SERS spectra. For this purpose, twenty-six Cronobacter strains from different food samples were analyzed. Additionally, it was shown that it is possible to differentiate them from other closely related pathogens such as Salmonella enterica subsp. enterica, Escherichia coli, or Enterobacter spp. The SERS results were supported by principal component analysis (PCA), as well as and sequencing of 16S rRNA, rpoB and fusA genes. Last but not least, it was demonstrated that the cells of Cronobacter sakazakii may be easily separated from PIF using an appropriate filter, microfluidic chip, and dielectrophoresis (DEP) technique.

Community dynamics and assembly is driven by environmental microbiota mediated by spatiotemporal distribution: The case of Daqu fermentation.

In almost all environments, microbial interaction is shaped by differences in environmental microbial transport, resulting in synergistic or antagonistic effects among community members. Unfortunately, the current understanding of how environmental microbiota affect spontaneous fermentation is very limited. Here, we selected Daqu workshops with different usage times (named X (60 years), Y (10 years), and Z (0 year)) as research model. The microbial contribution of raw material and environments to the microbiota of Daqu fermentation among workshops was compared, raw material microbiota contributed more bacterial genera (44.70 %-73.56 %) to the fermentation, and environmental microbiota contributed more fungal genera (10.09 %-99.76 %) to the fermentation. The deterministic assembly ratio and interaction intensity of workshop X were the highest, followed by Y and Z. We analyzed the relationship between environmental microbiota, fermentation microbiota, fermentation characteristics and flavor compounds. Environmental microbiota negatively drove the microbial diversity during fermentation (path coefficient = -1, P = 0.004), and further indirectly affected the community dynamics and assembly (path coefficient = -0.990, P < 0.001). Finally, community dynamics and assembly drove flavor compound diversity (path coefficient = 0.923, P < 0.001), it indicated the positive effect of environmental microbiota on flavor compound diversity. This work will help to understand the relationship between environmental microbiota and fermentation quality, supporting quality improvement of spontaneously fermented food in new workshop.

Comparative analyses of bacterial contamination and microbiome of broiler carcasses in wet market and industrial processing environments.

The slaughtering environment is crucial for the food hygiene and safety of poultry products. Despite the global dominance of industrial processing, live bird slaughtering in wet markets persists due to cultural, religious, and economic reasons. This study aims to reveal the correlation between hygiene scales in wet markets and bacterial contamination levels on broiler carcasses, with a particular focus on pathobiont transmission risks and microbiome characteristics. Wet markets were categorized based on home-made ratings and the Hygiene and Biosecurity Assessment Tool (HABT). The study assessed total aerobic bacterial (TAB) levels, food spoilage and hygiene indicators (Pseudomonas and E. coli), foodborne pathogen Salmonella, and the microbiome of broiler carcasses, intestinal contents, and slaughtering facilities. Comparative analyses were conducted between market and industrial processing environments. TAB levels on broiler carcasses showed a significant negative correlation with hygiene scores, indicating that both HABT and home-made rating tools effectively assess and improve processing hygiene. Industrial processing consistently reduced bacterial contamination compared to wet markets. Although Salmonella spp. prevalence was lower in market-processed carcasses, the study identified significant cross-transmission of pathobionts and variations in bacterial composition with hygiene improvements. Notably, the microbiome analysis revealed overlaps in amplicon sequence variants (ASVs) between carcasses and contamination vectors, highlighting pathobiont transmission risks. The present study confirmed the scales of hygiene standards among wet markets reflect bacterial contamination on broiler carcasses. Enhancing slaughter practices to meet industrial hygiene standards is essential for reducing the transmission of foodborne pathogens and pathobionts, and improving food safety.

Airborne fungal communities are more susceptible to anthropogenic activities than bacteria.

Airborne microorganisms (AM) have significant environmental and health implications. Extensive studies have been conducted to investigate the factors influencing the composition and diversity of AM. However, the knowledge of AM with anthropogenic activities has not reach a consensus. In this study, we took advantage of the dramatic decline of outdoor anthropogenic activities resulting from COVID-19 lockdown to reveal their associations. We collected airborne particulate matter before and during the lockdown period in two cities. The results showed that it was fungal diversity and communities but not bacteria obviously different between pre-lockdown and lockdown samples, suggesting that airborne fungi were more susceptible to anthropogenic activities than bacteria. However, after the implementation of lockdown, the co-occurrence networks of both bacterial and fungal community became more complex, which might be due to the variation of microbial sources. Furthermore, Mantel test and correlation analysis showed that air pollutants also partly contributed to microbial alterations. Airborne fungal community was more affected by air pollutants than bacterial community. Notably, some human pathogens like Nigrospora and Arthrinium were negatively correlated with air pollutants. Overall, our study highlighted the more impacts of anthropogenic activities on airborne fungal community than bacterial community and advanced the understanding of associations between anthropogenic activities and AM.

Variation and fractionation of δ2H, δ18O, and δ17O stable isotopes from irrigation water to soil, grapes, and wine for the traceability of geographical origins.

To investigate the variation and fractionation of stable isotopes from irrigation water to soil, grapes, and wine, δ2H, δ18O, and δ17O in different samples from 10 regions in China were determined using a water isotope analyser. The values were significantly different among regions according to the chemometric analysis. All isotopes were significantly and positively correlated with irrigation water-soil and grape-wine. A significant water isotopic fractionation effect was observed from the irrigation water to the soil, grapes, and wine. Stable isotope distribution characteristics correlated with longitude, latitude, altitude, temperature, precipitation, station pressure and wind speed. The linear discriminant analysis (LDA), random forest (RF), support vector machine (SVM), and feed-forward neural network (FNN) models 58.33-100 %, 80-100 %, 53.33-100 %, and 73.33-100 % accurate for distinguishing the geographical origins of all samples from training and test data, respectively. These findings provide a theoretical basis for authenticating the geographic origin of Chinese wines using stable isotope analysis.

Impact of microbial-based biopreparations on soil quality, plant health, and fruit chemistry in raspberry cultivation.

Application of microbial-based biopreparations as a pre-harvest strategy offers a method to obtain sustainable agricultural practices and could be an important approach for advancing food science, promoting sustainability, and meeting global food market demands. The impact of a bacterial-fungal biopreparation mixture on soil-plant-microbe interactions, fruit chemical composition and yield of 7 raspberry clones was investigated by examining the structural and functional profiles of microbial communities within leaves, fruits, and soil. Biopreparation addition caused the enhancement of the microbiological utilization of specific compounds, such as d-mannitol, relevant in plant-pathogen interactions and overall plant health. The biopreparation treatment positively affected the nitrogen availability in soil (9-160%). The analysis of plant stress marker enzymes combined with the evaluation of fruit quality and chemical properties highlight changes inducted by the pre-harvest biopreparation application. Chemical analyses highlight biopreparations' role in soil and fruit quality improvement, promoting sustainable agriculture. This effect was dependent on tested clones, showing increase of soluble solid content in fruits, concentration of polyphenols or the sensory quality of the fruits. The results of the next-generation sequencing indicated increase in the effective number of bacterial species after biopreparation treatment. The network analysis showed stimulating effect of biopreparation on microbial communities by enhancing microbial interactions (increasing the number of network edges up to 260%) of and affecting the proportions of mutual relationships between both bacteria and fungi. These findings show the potential of microbial-based biopreparation in enhancing raspberry production whilst promoting sustainable practices and maintaining environmental homeostasis and giving inshght in holistic understanding of microbial-based approaches for advancing food science monitoring.

RG-I pectic polysaccharides and hesperidin synergistically modulate gut microbiota: An in vitro study targeting the proportional relationship.

In this study, we investigated how different proportions blends of Rhamnogalacturonan-I pectic polysaccharides and hesperidin impact the gut microbiota and metabolites using an in vitro simulated digestion and fermentation model. The results indicated that both of them could modulate the gut microbiota and produce beneficial metabolites. However, their blends in particular proportions (such as 1:1) exhibited remarkable synergistic effects on modulating the intestinal microenvironment, surpassing the effects observed with individual components. Specifically, these blends could benefit the host by increasing short-chain fatty acids production (such as acetate), improving hesperidin bioavailability, producing more metabolites (such as hesperetin, phenolic acids), and promoting the growth of beneficial bacteria. This synergistic and additive effect was inseparable from the role of gut microbiota. Certain beneficial bacteria, such as Blautia, Faecalibacterium, and Prevotella, exhibited strong preferences for those blends, thereby contributing to host health through participating in carbohydrate and flavonoid metabolism.