Quality Of Baijiu Research Articles

Improving the quality of Xiaoqu Qingxiangxing Baijiu through optimization of key parameters in industrial fermentation processes driven by regulation models

After the transition of Xiaoqu Qingxiangxing Baijiu brewing from traditional to automated production, the process faced challenges such as low levels of key flavor substances and high levels of higher alcohols in Baijiu. In this study, the environmental factors and Jiupei microorganisms in traditional workshops (TW) and automated workshops (AW) while also optimizing the dosage of saccharification fermentation agents. The results demonstrated that Lactobacillus and Staphylococcus were the dominant microbial communities in the environment of both workshops, with the AW environment exhibiting higher microbial abundance than that of the TW. In the Jiupei, Lactobacillus and Weissella were the dominant microorganisms. However, microbial richness was higher in the TW than in the AW. This study also introduced a regulation model: when 6.1‰ ester-producing yeast, 8.3% Daqu, and 5.8‰ Xiaoqu were added, the total acid content reached 0.58 g/L, total ester content was 1.09 g/L, and higher alcohols levels were decreased to 1.85 g/L. These adjustments successfully achieved the goal of "reducing impurities and improving quality," leading to an improvement in the overall quality of Baijiu.

Unraveling the regional environmental ecology dominated baijiu fermentation microbial community succession and associated unique flavor.

Chinese baijiu as one of the famous distilled liquor in which fermented in open environments, with various microorganisms (i.e., bacteria, fungi, and yeast) involved in their brewing process, and created corresponding unique flavor. However, the sources of environmentally enriched microbial communities associated with liquor fermentation are still being characterized yet. Given the dependence of microbial growth and reproduction on environmental ecology, it is important to understand the correlation between baijiu fermentation microbial community and surrounding environmental ecology (i.e., temperature, humidity, wind, and precipitation). This study systematically overviewed the sources of microorganisms in the Jiang-flavor-Baijiu fermentation system. The results showed that microorganisms in baijiu brewing (i.e., mold, lactic acid bacteria, and yeast) mainly originated from surrounding environmental matrices, including the air (i.e., Yeast, Streptomyces and Bacillus), soil (i.e., Xanthomonas, Methanococcus and Comamonas) and water (i.e., Flavobacterium, Acinetobacter, and Pseudomonas) via atmospheric transport, raw material transfer and surface runoff. In addition, the unique baijiu fermentation microbial community diversity depends on local geology and meteorological conditions, highlighting that the structural stability and diversity of the microorganisms in the Baijiu brewing process dominated by local environmental ecology. We also explored the regional environmental conditions on the microbial community and found that the unique Jiang-flavor-Baijiu fermentation microbial community diversity depends on local geology and meteorological conditions. The Jiang-flavor-Baijiu workshop is located in the basin of the middle-and low latitude mountainous areas, with sufficient solar irradiation and rainfall, high air humidity, and low wind speed that favor the growth and propagation of Baijiu fermentation microorganisms. Therefore, the obtained conclusions provide new insights unraveling the key factor controlling the unique flavor of Chinese Baijiu, where protecting the ecology of baijiu brewing-regions is fundamental for maintaining the long-term quality of baijiu.

Exploring Community Succession, Assembly Patterns, and Metabolic Functions of Ester-Producing-Related Microbiota during the Production of Nongxiangxing baijiu.

Esters are vital flavor compounds in Chinese Nongxiangxing baijiu and greatly affect the quality of baijiu. Microbial communities inhabiting fermented grains (FGs) have a marked impact on esters. However, the specific microorganisms and their assembly patterns remain unclear. This study utilized high-throughput sequencing and a culture-based method to reveal ester-producing microorganisms. A total of 33 esters were detected, including 19 ethyl esters, 9 linear chain esters, and 2 branched chain esters. A correlation analysis indicated that the bacterial genus Lactobacillus (relative abundance in average: 69.05%) and fungal genera Pichia (2.40%), Aspergillus (11.84%), Wickerhamomyces (0.60%), Thermomyces (3.57%), Saccharomycopsis (7.87%), Issatchenkia (0.96%), and Thermoascus (10.83%) were dominant and associated with esters production and their precursors. The numbers of esters positively correlated with them were 1, 17, 3, 2, 1, 1, 1, and 1, respectively. The modified stochasticity ratio (MST) index and Sloan neutral model revealed that bacteria were predominantly governed by deterministic processes while fungal assemblies were more stochastic. Saturnispora silvae and Zygosaccharomyces bailii were isolated and identified with ester synthesis potential. PICRUSt2 analysis showed that fungi in FG had a high potential for synthesizing ethanol, while 14 enzymes related to esters synthesis were all produced by bacteria, especially enzymes catalyzing the synthesis of acyl-CoA. In addition, ester synthesis was mainly catalyzed by carboxylesterase, acylglycerol lipase and triacylglycerol lipase. These findings may provide insights into ester production mechanism and potential strategies to improve the quality of Nongxiangxing baijiu.

Current Updates on Lactic Acid Production and Control during Baijiu Brewing

Lactic acid is closely linked to the safety and quality of baijiu, the traditional Chinese fermented alcoholic beverage. Produced by lactic acid bacteria during fermentation, it creates an acidic environment that inhibits the growth of spoilage organisms and harmful microbes, thereby enhancing the safety and stability of the final product. Additionally, lactic acid is a key contributor to baijiu’s flavor profile, providing a smooth and rounded taste. Its levels can significantly impact consumer experience. An excess of lactic acid can result in a sour, undesirable flavor, while insufficient levels may lead to a flat and less appealing taste. Maintaining balanced lactic acid levels is crucial for ensuring that baijiu is both safe and enjoyable to drink, ultimately contributing to the product’s success and marketability. This paper reviews the mechanisms of lactic acid production in baijiu, examines its effects on flavor and the potential causes of imbalances, explores regulatory measures for controlling lactic acid during brewing, and discusses the impact of these measures on baijiu’s quality, taste, and yield, along with practical applications by various distilleries. The goal of this paper is to provide a reference for regulating lactic acid in the baijiu production processes.

Machine learning discrimination and prediction of different quality grades of sauce-flavor baijiu based on biomarker and key flavor compounds screening

The quality grade of base Baijiu directly determines the final quality of sauce-flavor Baijiu. However, traditional methods for assessing these grades often rely on subjective experience, lacking objectivity and accuracy. This study used GC-FID, combined with quantitative descriptive analysis (QDA) and odor activity value (OAV), to identify 27 key flavor compounds, including acetic acid, propionic acid, ethyl oleate, and isoamyl alcohol etc., as crucial contributors to quality grade differences. Sixteen bacterial biomarkers, including Komagataeibacter and Acetobacter etc., and 7 fungal biomarkers, including Aspergillus and Monascus etc., were identified as key microorganisms influencing these differences. Additionally, reducing sugar content in Jiupei significantly impacted base Baijiu quality. Finally, 11 machine learning classification models and 9 prediction models were evaluated, leading to the selection of the optimal model for accurate quality grade classification and prediction. This study provides a foundation for improving the evaluation system of sauce-flavor Baijiu and ensuring consistent quality.

Study on Sensory Quality and Flavor Characteristics of Jiangxiang Baijiu Produced by Different Fermentation Techniques

As a representative of traditional Chinese distilled liquor, the unique flavor of Sauce Flavor Baijiu is closely related to its brewing techniques. This study systematically explored the sensory quality and flavor characteristics of Sauce Flavor Baijiu produced by different fermentation techniques through sensory evaluation, gas chromatography analysis, and multivariate statistical methods. The results indicated that the techniques of Chuansha, Suisha, Kunsha, and their blends significantly influenced the concentration and proportion of flavor compounds in Baijiu, subsequently altering its aroma and taste. Specifically, Chuansha Baijiu exhibited weaker aroma and thinner taste; Suisha Baijiu presented certain complexity and a softer taste; while Kunsha Baijiu boasted a strong aroma and full-bodied taste. This study established a scientific quality evaluation system for Sauce Flavor Baijiu, providing theoretical foundations and technical support for the optimization of brewing techniques and improvement of Baijiu quality.

Germplasm Resource Mining of Fen-Flavor Baijiu Brewing Micro-Organisms and Screening of Important Functional Strains

The exploration of microbial genetic resources for the production of fFen-flavor Baijiu has not only enriched the microbial library for baijiu production but has also laid the foundation for process improvement and strain optimization in baijiu brewing. In this study, a total of 177 fungal isolates were screened, including Saccharomyces cerevisiae, non-Saccharomyces cerevisiae, molds, and some pathogenic bacteria. Among them, Saccharomyces cerevisiae was the most abundant with 119 isolates, playing a major role in the fermentation of baijiu production. A total of 148 bacterial isolates were obtained from the fermentation mash samples, showing greater diversity compared to fungi. Bacillus species were the most abundant, with 94 isolates. Bacillus licheniformis, in particular, can produce a rich enzymatic system and flavor precursors, making it an important contributor to the sensory quality of baijiu. Lactic acid bacteria were the second most abundant, with 16 isolates. Additionally, five pathogenic fungal species were identified, including Candida pelliculosa, Candida lusitaniae, Fusarium oxysporum, Fusarium solani and Talaromyces marneffei. Six pathogenic bacterial species were also isolated, namely Staphylococcus aureus, Staphylococcus epidermidis, Staphylococcus xylosus, Moraxella osloensis, Actinomyces meyeri and Stenotrophomonas maltophilia. Finally, two strains of high acetate ethyl ester-producing yeast and lactate-degrading bacteria with good tolerance to temperature, pH, and ethanol concentration were identified as Saccharomyces cerevisiae and Bacillus licheniformis, respectively.

Analyzing the differences and correlations between key metabolites and dominant microorganisms in different regions of Daqu based on off-target metabolomics and high-throughput sequencing

Daqu is usually produced in an open environment, which makes its quality unstable. The microbial community of Daqu largely determines its quality. Therefore, in order to improve the fermentation characteristics of Daqu, samples were collected from Jinsha County (MT1), Xishui County (MT2), and Maotai Town (MT3) in Guizhou Province to explore the microbial diversity of Daqu and its impact on Daqu's metabolites.Off-target metabolomics was used to detect metabolites, and high-throughput sequencing was used to detect microorganisms. Metabolomics results revealed that MT1 and MT2 had the highest relative fatty acid content, whereas MT3 had the highest organooxygen compound content. Principal component analysis and partial least squares discriminant analysis revealed significant differences in the metabolites among the three groups, followed by the identification of 33 differential metabolites (key metabolites) filtered using the criteria of variable importance in projection >1 and p < 0.001. According to the microbiological results, Proteobacteria was the dominant bacteria phylum in three samples. Gammaproteobacteria was the dominant class in MT1(26.84 %) and MT2(36.54 %), MT3 is Alphaproteobacteria(25.66 %). And Caulobacteraceae was the dominant family per the abundance analysis, MTI was 24.32 %, MT2 and MT3 were 33.71 % and 24.40 % respectively. Three samples dominant fungi phylum were Ascomycota, and dominant fungi family were Thermoascaceae. Pseudomonas showed a significant positive connection with various fatty acyls, according to correlation analyses between dominant microorganisms (genus level) and key metabolites. Fatty acyls and Thermomyces showed a positive correlation, but Thermoascus had the reverse relation. These findings offer a theoretical framework for future studies on the impact of metabolites on Baijiu quality during fermentation.

Comparative analysis of microbial diversity and functional characteristics of low-temperature Daqu from different regions in China

Baijiu is a unique alcoholic beverage in China, prepared through a traditional solid-state fermentation process. Daqu, recognized as the earliest form of crude enzyme preparation, plays a crucial role in determining the quality of Baijiu. Due to the enzymatic process derived from natural fermentation, the differences between regions were expected to occur. To compare regional-difference in microbial diversity and the functional profile of Daqu, metagenomic sequencing, physicochemical analysis, and electronic sensory evaluation were utilized. The results showed that bacteria and fungi were the main microbes in low-temperature Daqu (LTD), and their ratio of abundance was approximately 9:1. Streptomyces (20.27 %) and Bacillus licheniformis (15.28 %) emerged as the most dominant microbes in LTD at the genus and species levels, respectively. The overall microbial communities and functional profiles of Daqu between the two regions exhibited significant differences (P < 0.05). Bacillus licheniformis was significantly enriched in LTD from Taiyuan (P < 0.05) and mainly contributed to the saccharifying power, fermenting power, esterifying power, and liquefying power of LTD, demonstrating its important role in maintaining LTD quality. LTD from Taiyuan had a significantly higher fermenting power, esterifying power, and liquefying power than LTD from Suizhou (P < 0.05). In addition, a higher abundance of genes responsible for lactate production was detected in LTD from Suizhou, whereas genes associated with acetate production were enriched in LTD from Taiyuan. Collectively, these findings indicated that lactic acid bacteria may play a more important role in LTD from Suizhou, whereas acetate-producing bacteria may have a greater contribution to LTD from Taiyuan. This study provides a reference for microbial regulation during the production process of Daqu, and control of quality and traceability of the origin of Daqu.

Analysis of aroma compounds in different grades of Luzhou Laojiao strong-aroma Baijiu by molecular sensory science

Strong-aroma Baijiu is a beloved drink in China because of its elegant cellar aroma, sweetness and mellow taste, and its sales account for more than half of the Baijiu production. In this study, three different grades of strong-aroma Baijiu were analyzed systematically using comprehensive two-dimensional gas chromatography–time-of-flight mass spectrometry coupled with molecular sensory science. A total of 342 aroma compounds were identified in the three samples, including 152 aroma-active compounds. Principal component analysis revealed that higher-grade Baijiu contained more terpenes, acetals, and esters. In contrast, lower-grade Baijiu contained fewer esters and many compounds likely generated by the Maillard reaction, such as 5-methylfurfural, 2-propanoylfuran, 2,6-dimethylpyrazine, and 5-ethyl-2(5H)-furanone. Most of the aroma attributes of Baijiu samples could be simulated through aroma recombination experiments, but there were still some slight differences in individual aromas. Finally, the key aroma compounds of the three different grades of Baijiu were revealed through omission experiments. This study provided a scientific basis for the classification of strong-aroma Baijiu quality grades, thereby contributing to the high-quality development of the Baijiu industry.

A fluorescence-enhanced method specific for furfural determination in Chinese Baijiu based on luminescent carbon dots and direct surface reaction

Detecting the furfural concentration in Baijiu can be used to assess the quality of Baijiu, allowing for the optimization of processing techniques and the enhancement of overall quality. In this paper, a fluorescence-enhanced method based on carbon dots (o-CDs) is developed for the furfural determination in Chinese Baijiu. In an environment full-filled with ·SO4‐ and ·OH, furfural undergone a direct surface reaction with the ortho-diamino groups at o-CDs. The created furan-based imidazole increased the surface electron density, leading an emission enhancement and color changes from orange to green. Thereby, a linear fluorescence response of o-CDs-TA to furfural is established in water with a detection limit of 30.5 nM. Finally, after ethanol correction it is used to determine furfural in Chinese Baijiu with high precision and reproducibility, providing a new strategy with low-cost and high sensitivity. In particular, the idea of covalently connecting target molecule to the CDs surface via the assistance of free radical opens a new avenue to merge the nanoscale and molecular realms through implementing chemical role into carbon nanostructures.

Characteristics and Functions of Dominant Yeasts Together with Their Applications during Strong-Flavor Baijiu Brewing.

Yeasts are pivotal brewing microbes that are associated with the flavor and quality of Chinese baijiu, yet research on dominant yeasts in strong-flavor baijiu brewing remains limited. In this study, Saccharomyces cerevisiae, Pichia kudriavzevii, and Kazachstania bulderi were identified as predominated yeasts in strong-flavor baijiu. Each strain showed distinct characteristics in ethanol resistance, thermal tolerance, and lactic acid tolerance, severally. S. cerevisiae FJ1-2 excelled in ethanol and ethyl ester production, P. kudriavzevii FJ1-1 in ethyl acetate, and K. bulderi FJ1-3 in lactic acid generation. Subsequently, the reinforced Fuqu of each yeast were severally prepared for application in baijiu brewing to verify their functions. Results revealed that the relative abundance of fortified yeast in each group rose. Pichia, Kazachstania, and Saccharomyces emerged as the core microbe for each group, respectively, by co-occurrence network analysis, influencing the microbiota to regulate flavor substances. In short, P. kudriavzevii FJ1-1 enhanced ethyl acetate. K. bulderi FJ1-3 improved ethyl caproate production and decreased levels of ethyl acetate and higher alcohols by modulating yeast community between Pichia and Saccharomyces. This is a systematic endeavor to study the functions of yeasts of strong-flavor baijiu, providing a solid basis for improving baijiu quality.

Identifying distinct markers in two Sorghum varieties for baijiu fermentation using untargeted metabolomics and molecular network approaches

The quality of strong-flavor Baijiu, a prominent Chinese liquor, is intricately tied to the choice of sorghum variety used in fermentation. However, a significant gap remains in our understanding of how glutinous and non-glutinous sorghum varieties comprehensively impact Baijiu flavor formation through fermentation metabolites. This study employed untargeted metabolomics combined with feature-based molecular networking (FBMN) to explore the unique metabolic characteristics of these two sorghum varieties during fermentation. FBMN analysis revealed 267 metabolites within both types of fermented sorghum (Zaopei) in the cellar. Further multidimensional statistical analyses highlighted sphingolipids, 2,5-diketopiperazines, and methionine derivatives as critical markers for quality control. These findings represent a significant advancement in our understanding and provide valuable insights for regulating the quality of Baijiu flavors.

Solid-state fermentation of corn to make Chinese liquor: Effect of corn variety and dynamic microbial community variation

This study aims to evaluate the impact of different corn varieties (Lancaster Sure Crop-LSC, Hickory King White-HKW, and Yellow Dent Corn-YDC) on baijiu fermentation especially focusing on ethanol yield and flavor compounds) and characteristics of dried distillers grains (DDG); and reveal the relationship between flavor compounds and the microbial community in baijiu fermentation. The results showed that LSC generated the highest ethanol (14.73%, v/v) and least methanol (6.6 g/L) concentrations in zaopei (fermented grains before distillation) among the three studied varieties. The DDG from the LSC variety had higher protein (21.14%) and fat (12.20%) contents (dry weight basis) compared to the other two varieties. The results of High-throughput sequencing indicated that both Bacillus and Weissella were dominant bacteria, while Saccharomyces, Saccharmycopsis, and Rhizopus were predominant fungi in all zaopei. In addition, 17 different flavor compounds were found in zaopei, including esters, alcohols, acids, and phenolics. Based on the Pearson correlation analysis, Bacillus, Pediococcus, Leuconostoc, Enterococcus, Weissella, and Pseudomonas, along with Saccharomyces, Saccharmycopsis, Rhizopus, and Mucor fungi, played significant roles in the formation of flavor compounds. These findings deepen our understanding of the microbial contribution to flavor compounds and will help improve baijiu quality.

Targeted microbial collaboration to enhance key flavor metabolites by inoculating Clostridium tyrobutyricum and Saccharomyces cerevisiae in the strong-flavor Baijiu simulated fermentation system

Ethyl hexanoate and ethyl butyrate are indispensable flavor metabolites in strong-flavor Baijiu (SFB), but batch production instability in fermenting grains can reduce the quality of distilled Baijiu. Biofortification of the fermentation process by designing a targeted microbial collaboration pattern is an effective method to stabilize the quality of Baijiu. In this study, we explored the metabolism under co-culture liquid fermentation with Clostridium tyrobutyricum DB041 and Saccharomyces cerevisiae YS219 and investigated the effects of inoculation with two functional microorganisms on physicochemical factors, flavor metabolites, and microbial communities in solid-state simulated fermentation of SFB for the first time. The headspace solid-phase microextraction-gas chromatography-mass spectrometry results showed that ethyl butyrate and ethyl hexanoate significantly increased in fermented grain. High-throughput sequencing analysis showed that Pediococcus, Lactobacillus, Weissella, Clostridium_sensu_stricto_12, and Saccharomyces emerged as the dominant microorganisms at the end of fermentation. Co-occurrence analysis showed that ethyl hexanoate and ethyl butyrate were significantly correlated (|r| > 0.5, P < 0.05) with a cluster of interactions dominated by lactic acid bacteria (Pediococcus, Lactobacillus, Weissella, and Lactococcus), which was driven by the functional C. tyrobutyricum and S. cerevisiae. Mantel test showed that moisture and reducing sugars were the main physicochemical factor affecting microbial collaboration (|r| > 0.7, P < 0.05). Taken together, the collaborative microbial pattern of inoculation with C. tyrobutyricum and S. cerevisiae showed positive results in enhancing typical flavor metabolites and the synergistic effects of microorganisms in SFB.

Revealing the key microorganisms producing higher alcohols and their assembly processes during Jiang-flavor Baijiu fermentation

Excessive levels of higher alcohols have negative impacts on the quality of Baijiu. Understanding the key microorganisms responsible for producing higher alcohols and their assembly processes is crucial for controlling higher alcohols in multi-species Baijiu fermentation. This study investigated the changes in volatile compounds, including higher alcohols, and microbial communities in the four fermentation cycles of Jiang-flavor Baijiu. Higher alcohols were the most abundant in the first cycle. Through metatranscriptomic and culture-dependent analysis, Saccharomyces cerevisiae and four non-Saccharomyces yeasts (Pichia kudriavzevii, Zygosaccharomyces bailii, Schizosaccharomyces pombe, and Torulaspora delbrueckii) were demonstrated to be the main contributors to higher alcohol (isobutanol, isoamylol, and 1-propanol) production, with S. cerevisiae producing the highest levels. A higher abundance of Saccharomyces resulted in the highest levels of higher alcohols in the first cycle. Moreover, our results revealed that yeast community was assembled from stochastic to deterministic processes with the increase of fermentation cycles, driven by lactic acid. These findings provide valuable insights into controlling higher alcohol production in Baijiu fermentation.

Selective Elucidation of Living Microbial Communities in Fermented Grains of Chinese Baijiu: Development of a Technique Integrating Propidium Monoazide Probe Pretreatment and Amplicon Sequencing.

The fermentation process of Chinese Baijiu's fermented grains involves the intricate succession and metabolism of microbial communities, collectively shaping the Baijiu's quality. Understanding the composition and succession of these living microbial communities within fermented grains is crucial for comprehending fermentation and flavor formation mechanisms. However, conducting high-throughput analysis of living microbial communities within the complex microbial system of fermented grains poses significant challenges. Thus, this study addressed this challenge by devising a high-throughput analysis framework using light-flavor Baijiu as a model. This framework combined propidium monoazide (PMA) pretreatment technology with amplicon sequencing techniques. Optimal PMA treatment parameters, including a concentration of 50 μM and incubation in darkness for 5 min followed by an exposure incubation period of 5 min, were identified. Utilizing this protocol, viable microorganism biomass ranging from 8.71 × 106 to 1.47 × 108 copies/μL was successfully detected in fermented grain samples. Subsequent amplicon sequencing analysis revealed distinct microbial community structures between untreated and PMA-treated groups, with notable differences in relative abundance compositions, particularly in dominant species such as Lactobacillus, Bacillus, Pediococcus, Saccharomycopsis, Issatchenkia and Pichia, as identified by LEfSe analysis. The results of this study confirmed the efficacy of PMA-amplicon sequencing technology for analyzing living microbial communities in fermented grains and furnished a methodological framework for investigating living microbial communities in diverse traditional fermented foods. This technical framework holds considerable significance for advancing our understanding of the fermentation mechanisms intrinsic to traditional fermented foods.

Environmental microbiota and its influence on microbial succession and metabolic profiles in baijiu fermentation across three distinct-age workshops

The fermentation of Baijiu is profoundly influenced by environmental microbiota, but the exact origins and the specific impacts of these microbes are not entirely understood. To address this issue, we used reverse-analysis to comprehensively map the environmental sources and reveal their pivotal role in shaping microbial succession and metabolic variations across three workshops of different ages. We initially discovered that these workshops exhibited unique microbial succession and metabolic profiles in baijiu fermentation. Further investigation revealed that environmental microbiota associated with Baijiu fermentation showed a distinct separation between outdoor and indoor settings, especially in the 70-year-old workshop (workshop 70y). The unique distribution of environmental microbes in workshop 70y did not only accelerate microbial succession 5 days earlier, but also significantly enhanced ester production, with an increase from 60.63 μg/mL to 155.31 μg/mL. Source tracking revealed that the rich indoor environmental microbes in the workshop 70y dominated the whole fermentation, while the 2-year-old workshop (workshop 2y) and the 20-year-old workshop (workshop 20y) initially relied on Raw Materials (RM) and Daqu (DQ) microbes, but the control gradually shifted to indoor environment. These findings might offer valuable implications for Baijiu quality control, and enhance our understanding of the functional roles of the environmental microbiome.

Comparative analysis of bacterial community structure and physicochemical quality in high-temperature Daqu of different colors in Qingzhou production area

To compare the effects of differences in Daqu making technology and production regions on the bacterial composition and physicochemical properties of high-temperature Daqu (HTD), this study analyzed the bacterial community structure of three colors of HTD in the Qingzhou production area and measured their physicochemical quality. At the same time, a comparative analysis was conducted on the bacterial composition of Qingzhou and Xiangyang regions. The results revealed that the HTD in the Qingzhou area exhibited a diverse bacterial community dominated by Lentibacillus, Scopulibacillus, and Staphylococcus. The black HTD displayed the lowest bacterial richness (P < 0.05) and a relatively unique microbial structure. Significant variations were observed in the physicochemical qualities of the three colors of HTD. Notably, white HTD demonstrated higher moisture and ash content, saccharification and liquor-producing power. Yellow HTD exhibited higher amino nitrogen and protein content, and black HTD displayed higher water activity, acidity, and starch content. The variation in Bacillus, Limosilactobacillus, and Weissella distributions across different colors of HTD primarily contributed to these findings. From the HTD samples in the Qingzhou area, Bacillus (61.90 %) and lactic acid bacteria (17.46 %) being the predominant cultivable communities. Cluster analysis identified significant differences in bacterial communities among HTD samples from various production areas. It can enhance the understanding of HTD quality in the Qingzhou area and offer insights for optimizing HTD and Maotai-flavor Baijiu quality.

Revealing microbiota characteristics and predicting flavor-producing sub-communities in Nongxiangxing baijiu pit mud through metagenomic analysis and metabolic modeling

The microorganisms of the pit mud (PM) of Nongxiangxing baijiu (NXXB) have an important role in the synthesis of flavor substances, and they determine attributes and quality of baijiu. Herein, we utilize metagenomics and genome-scale metabolic models (GSMMs) to investigate the microbial composition, metabolic functions in PM microbiota, as well as to identify microorganisms and communities linked to flavor compounds. Metagenomic data revealed that the most prevalent assembly of bacteria and archaea was Proteiniphilum, Caproicibacterium, Petrimonas, Lactobacillus, Clostridium, Aminobacterium, Syntrophomonas, Methanobacterium, Methanoculleus, and Methanosarcina. The important enzymes ofPMwere in bothGH and GT familymetabolism. A total of 38 high-quality metagenome-assembled genomes (MAGs) were obtained, including those at the family level (n = 13), genus level (n = 17), and species level (n = 8). GSMMs of the 38 MAGs were then constructed. From the GSMMs, individual and community capabilities respectively were predicted to be able to produce 111 metabolites and 598 metabolites. Twenty-three predicted metabolites were consistent with the metabonomics detected flavors and served as targets. Twelve sub-community of were screened by cross-feeding of 38 GSMMs. Of them, Methanobacterium, Sphaerochaeta, Muricomes intestini, Methanobacteriaceae, Synergistaceae, and Caloramator were core microorganisms for targets in each sub-community. Overall, this study of metagenomic and target-community screening could help our understanding of the metabolite–microbiome association and further bioregulation of baijiu.