Quality Of Baijiu Research Articles

Systematic analysis of Baobaoqu fermentation starter for Wuliangye Baijiu by the combination of metagenomics and metabolomics.

Baobaoqu (BBQ) is a traditional fermenting power, which is widely applied in Nong-flavor Baijiu brewing. There are two different types of BBQ (premium BBQ and normal BBQ) used in industrial manufacture, but the reasons for the significant differences between two kinds of BBQ have not been clearly illuminated. In this study, the combination of metagenomics and metabolomics was performed to compare the differences in the composition of microbial communities and the components of flavors between premium BBQ and normal BBQ. The results showed that the glycosidase-producing microorganisms are the biomarkers of premium BBQ, contributing a better ability of carbon source utilization than normal BBQ. In addition, several important flavors (ethyl hexanoate, phenylethanol, ethyl acetate) were rich in normal BBQ, which have a significant positive correlation with the biomarkers (Lactobacillus and Pichia kudriavzevii) of normal BBQ. It suggests that the microbial community has an advantage in utilizing raw materials in premium BBQ, while the community was inclined to form flavors in normal BBQ. The differences between two types of BBQ at the microbial and flavor level have theoretical and practical guiding significance in the application of premium and normal BBQ and in the further improvements of taste and quality of Baijiu.

Characterization of aroma compounds and effects of amino acids on the release of esters in Laimao baijiu.

Laimao baijiu is a typical soy-sauce aroma-type baijiu in China. Amino acids are non-volatile compounds in baijiu and are beneficial to human health. Aroma is one of the important indicators that are used to evaluate the quality of baijiu. The interaction between aroma-active compounds and non-volatile compounds can also affect the release of aroma compounds. In this study, we identified the active-aroma compounds and amino acids in Laimao baijiu by stir bar sorptive extraction (SBSE), gas chromatography-olfactometry (GC-O), gas chromatography-mass spectrometry (GC-MS), and ultra-performance liquid chromatography-mass spectrometry (UPLC-MS). The interaction between amino acids and key esters was investigated by sensory analysis and partition coefficients. A total of 63 aroma compounds and 21 amino acids were identified. Twenty-one esters were identified from them as major aroma-active ester compounds with odor activity values ≥ 1. Finally, sensory analysis revealed that l-alanine had a significant effect on the strength of the aromas of esters, suggesting that low concentrations of amino acids were more likely to promote the release of esters and high concentrations were more likely to inhibit this. The partition coefficient can be a good explanation for this phenomenon. l-Alanine can significantly affect the aroma intensity of key ester aroma compounds in Laimao baijiu, and the effects of different concentrations of amino acids are different. This work shows that amino acids, as non-volatile compounds, have a regulatory effect on the release of aroma compounds in alcoholic beverages, which may provide new technical support for the aroma modulation of alcoholic beverages. © 2022 Society of Chemical Industry.

“Key Factor” for Baijiu Quality: Research Progress on Acid Substances in Baijiu

Baijiu is the national liquor of China, which has lasted in China for more than 2000 years. Abundant raw materials, multi-strain co-fermentation, and complex processes make the secrets of baijiu flavor and taste still not fully explored. Acid substances not only have a great influence on the flavor and taste of baijiu, but also have certain functions. Therefore, this paper provides a systematic review for the reported acid substances, especially for their contribution to the flavor and functional quality of baijiu. Based on previous studies, this paper puts forward a conjecture, a suggestion, and a point of view, namely: the conjecture of “whether acid substances can be used as ‘key factor’ for baijiu quality “; the suggestion of “the focus of research on acid substances in baijiu should be transferred to evaluating their contribution to the taste of baijiu”; and the view of “acid substances are ‘regulators’ in the fermentation process of baijiu”. It is worth thinking about whether acid substances can be used as the key factors of baijiu to be studied and confirmed by practice in the future. It is hoped that the systematic review of acid substances in baijiu in this paper can contribute to further in-depth and systematic research on baijiu by researchers in the future.

Effects of bio-augmented Daqu on microbial community, aroma compounds and physicochemical parameters of fermented grains during the brewing of Chinese special-flavor baijiu.

Bio-augmented Daqu is used to improve the microbial community and physicochemical parameters of fermented grains, thus affecting the flavor and quality of baijiu. This study investigated the effects of bio-augmented Daqu inoculated with Aspergillus niger NCUF413.1 and Saccharomyces cerevisiae NCUF304.1 on the microbial community, aroma compounds, and physicochemical parameters of fermented grains during special-flavor baijiu brewing. Compared with the control group (CG), the utilization of starch and production of ethanol in the inoculated group (IG) increased by 3.55% and 12.59%, respectively. The use of bio-augmented Daqu changed the bacterial communities. For example, Kroppenstedsia was the dominant bacterial genus (the relative abundance was about 22%) in the CG while Lactobacillus was the main dominant genus (the relative abundance was more than 30%) in the IG on days 20-30. Lactobacillus showed a significant positive correlation with the aroma compounds. The use of bio-augmented Daqu increased the aroma compound content - such as the ethyl heptanoate and ethyl hexanoate content. The addition of bio-augmented Daqu with A. niger and S. cerevisiae could change microbial communities, resulting in an increase in the yield of ethanol and the aroma compound content of fermented grains, thus improving the quality of baijiu. © 2022 Society of Chemical Industry.

Effect of microbial interaction on flavor quality in Chinese baijiu fermentation.

Chinese baijiu brewing is an open, complex, and synergetic functional microbiota fermentation process. Microbial interaction is pivotal for the regulation of microbial structure and function in the brewing microecosystem, consequently affecting the flavor and quality of baijiu. This article mainly summarizes the effect of microbial interactions among functional microbiota on the growth performance, flavor formation, and safe quality of baijiu fermentation process. In addition, the review specifically emphasizes on the microbial interactions for the regulation of “Ethyl Caproate-Increasing and Ethyl Lactate-Decreasing” in Chinese strong-flavor baijiu. Furthermore, the construction of synthetic microbiota by metabolic characteristics of the functional microbes and their interactions for regulating and controlling flavor quality of Chinese baijiu is also reviewed and prospected.

Dynamic succession of microbial community in Nongxiangxing daqu and microbial roles involved in flavor formation

Daqu, the fermentation starter of Chinese baijiu, is produced by barley and/or peas during open fermentation using natural inoculation. However, the succession of microbial communities and their roles during daqu manufacture remain unclear, which are closely related to the flavor and quality of baijiu. In this study, the dynamics of physicochemical properties, microbial communities, and volatile compounds were investigated at both fermentation (FM) and storage (ST) stages during the manufacture of Nongxiangxing daqu. High-throughput sequencing analysis showed that Weissella and Lactobacillus were the predominant bacterial genera, at the end of storage, the proportion was 31.45% and 13.14% respectively. Thermoascus, Rhizopus, Pichia and Rhizomucor were dominant fungi in daqu, and Thermoascus, Pichia and Rhizopus still occupied a large proportion at the end of daqu storage, accounting for 67.65%, 23.94% and 7.05% respectively. Redundancy analysis was employed to investigate the relationship between microorganisms and physicochemical indexes, and the results showed that acidity and Lactobacillus were positively correlated, saccharification power was positively correlated with Aspergillus, Rhizomucor, Rasamsonia and Thermoascu. The correlation networks between microorganisms and volatile substances were analyzed, a total of 60 compounds including 42 esters, 4 alcohols, 5 ketones and 5 aldehydes, 2 acids, 1 amine, 1 pyrazine were detected, the results suggested that esters are the main aroma components in daqu, and most of esters are positively correlated with fungi. In addition, key enzymes involved in carbohydrate hydrolysis, ethanol fermentation, and flavor formation were revealed. This study may further improve our understanding concerning the microbial system and microbial roles of Nongxiangxing daqu and may contribute to optimize the process during daqu manufacture.

Comparative Genomics Unveils the Habitat Adaptation and Metabolic Profiles of Clostridium in an Artificial Ecosystem for Liquor Production.

ABSTRACTClostridium inhabiting pit mud (PM) is one of the important bacterial populations for synthesizing flavor compounds of Chinese strong-flavor baijiu. The long-term cereal fermentation with sorghum as the main raw material creates an environment rich in starch, ethanol, and organic acids (mainly lactic acid). However, the genetic factors underpinning Clostridium’s adaptation to PM remain poorly understood. Here, we performed comparative genomic analysis between 30 pit mud-associated (PMA) and 100 non-pit mud-associated (NPMA) Clostridium strains. Comparison analysis of the enrichment of KEGG pathways between PMA and NPMA Clostridium strains showed two-component system, flagellar assembly, and bacterial chemotaxis pathways related to environmental adaptation were enriched in PMA strains. The number of genes encoding alcohol dehydrogenase and l-lactate dehydrogenase in PMA Clostridium strains was significantly higher than that in NPMA, which is helpful for them to adapt to the ethanol- and lactic acid-rich environment. The analysis of carbohydrate-active enzymes demonstrated that glycoside hydrolases (GHs) was the most abundant family in all Clostridium strains, and genes encoding GH4 and GH13, involved in starch and sucrose metabolism, were enriched in PMA Clostridium. Horizontal gene transfer analysis revealed that multiple genes encoding the enzymes involved in carbohydrate and amino acid metabolism were transferred from Bacillus to Clostridium in pit mud. Most of the PMA Clostridium strains had good potential for butyric acid synthesis from ethanol, lactic acid, and starch. Collectively, this study furthers our understanding of the habitat adaptation and metabolic potential of PMA Clostridium strains.IMPORTANCE Pit mud is a typical artificial ecosystem for Chinese liquor production. Clostridium inhabiting pit mud plays essential roles in the flavor formation of strong-flavor baijiu. The relative abundance of Clostridium increased with pit mud quality, further influencing the quality of baijiu. So far, the ecological adaptation of Clostridium to a pit mud-associated lifestyle is largely unknown. Here, comparative genomic analysis of pit mud-associated (PMA) and non-pit mud-associated (NPMA) Clostridium strains was performed. We found genes related to the metabolism of starch, ethanol, and lactic acid were enriched in PMA Clostridium strains, which facilitated their adaptation to the unique brewing environment. In addition, horizontal gene transfer contributed to the adaptation of Clostridium to pit mud. Our findings provide genetic insights on PMA Clostridium strains’ ecological adaptation and metabolic characteristics.

Spatial heterogeneity of the microbiome and metabolome profiles of high-temperature Daqu in the same workshop

High-temperature Daqu, usually used as a fermentation starter for sauce-flavor Baijiu production, plays an essential role in the yield and flavor quality of Baijiu. The environmental heterogeneity of different locations in the workshop during fermentation led to the final production of Daqu with three different types (i.e., white, yellow, and black Daqu). How to use these three types of Daqu in Baijiu production mainly depends on the workers’ experience so far. Here, we aimed to reveal the potential functions of different types of Daqu by comparing enzyme activity, volatile metabolites, and microbiota characteristics. White_Qu exhibited the highest liquefaction and saccharification enzyme activities, while the highest neutral proteinase and cellulase enzyme activities were detected in black_Qu. The total volatile content of yellow_Qu and black_Qu was roughly double that of white_Qu, and multivariate analysis revealed distinct volatile dissimilarities across different types of Daqu. Significant differences in bacterial and fungal community structures, assembly patterns, and potential functional profiles were discovered among different types of Daqu. At the genus level, Oceanobacillus and Thermomyces dominated the white_Qu microbiota, and the abundant microbes in yellow_Qu and black_Qu were scattered in Kroppenstedtia and Thermoascus. Bacterial and fungal communities were dominated by deterministic and stochastic assembly processes, respectively, suggesting that bacteria may be more affected by abiotic environmental factors and species interaction than fungi. Co-occurrence network analysis showed positive correlations characterized Daqu microbial networks, and network topological features indicated stronger interactions between bacterial taxa compared with fungal community. The Spearman correlation analysis revealed that four bacterial genera (Kroppenstedtia, Virgibacillus, Scopulibacillus, and Staphylococcus) and two fungal genera (Thermoascus and Aspergillus) exhibited positive correlations with almost all of the abundant volatiles. This work reveals that spatially varying environments lead to the microbiome and metabolome heterogeneity of high-temperature Daqu in the same workshop.

Analysis of environmental driving factors on Core Functional Community during Daqu fermentation

Sauce-flavor Daqu determines the quality of Baijiu because its core functional community (CFC) can produce abundant enzymes and aroma. However, complex environmental factors make it difficult to accurately control the fermentation quality of Daqu. In this study, we constructed a functional gene database to identify CFC based on multi-omics technology and explore controllable environmental factors of CFC to improve the quality of Daqu. The results showed that the CFC is mainly composed of 7 bacterial and 4 fungal genera, including Kroppenstedtia, Thermoactinomyces, Bacillus, Acinetobacter, Brevibacterium, Saccharopolyspora, Ochrobactrum, Aspergillus, Byssochlamys, Thermoascus, and Thermomyces. Most of them are thermostable microorganisms that can provide the power of fermentation and saccharification (α-amylase, glucoamylase, and protease). In CFC, Acinetobacter and Saccharopolyspora were strongly positively correlated with typical flavor substances, while fungi were negatively correlated, particularly with furans. Therefore, the bacterial genera contributed more to the significant flavors. The CFC was significantly influenced by high temperature and total titrate acid based on RDA. In addition, high-temperature conditions were also strongly positively correlated with flavors that can be quickly produced at high temperatures, such as 2-Furancarboxaldehyde, 2-Furanmethanol, and Tetramethylpyrazine. As a controllable factor, the temperature can be adjusted to improve the quality of Daqu directionally, which will provide theoretical guidance for the production of high-quality Daqu.

Optimization of an intra-oral solid-phase microextraction (SPME) combined with comprehensive two-dimensional gas chromatography–time-of-flight mass spectrometry (GC × GC-TOFMS) method for oral aroma compounds monitoring of Baijiu

The ‘‘after-odor” is essential to the quality and consumer preference of Baijiu. An intra-oral solid-phase microextraction (SPME) combined with comprehensive two-dimensional gas chromatography–time-of-flight mass spectrometry (GC × GC-TOFMS) was developed for oral aroma compounds monitoring of Baijiu. The extraction time, sip volume and rinse time were 120 s, 5 mL, and 10 s, respectively. The procedure showed good performances at concentrations of 1.56 μg/L–1500 mg/L for different aroma compounds of Baijiu (most R2 > 0.9). Furthermore, the optimized procedure detected 85 aroma compounds with different chemical structures and provided good representations of the light, strong, soy sauce and mix aroma type Baijiu’s oral aroma profiles. Principal component analysis’s (PCA) cumulative interpretation rate was 72.42%. The acceptable performance of this procedure can be combined with dynamic sensory evaluation to improve the quality of the Baijiu aroma.

Microbial Diversity and Metabolites Dynamic of Light-Flavor Baijiu with Stacking Process

Stacking is a widely used method of microbial enrichment in the field of fermentation and is traditionally used to promote flavor in Chinese sauce-flavor Baijiu; however, its precise mechanism is unknown. This study assessed the fermentation process of light-flavor Baijiu with the simplest microbial source. After comparing differences in the microbial composition of different kinds of Daqu, a high-temperature Daqu with a microbial composition that significantly differs from light-flavor Daqu was selected for stacking. The physical and chemical indicators, microbial community composition, and metabolite profiles during the fermentation process were tracked, and the total ester content in Baiju was significantly higher with stacking than Baijiu without stacking. The dominant bacteria during stacking fermentation were Bacillus and Enterococcus, while Lactobacillus was the dominant bacteria during middle and late fermentation periods. Low levels of Lactobacillus and Pichia in Daqu were screened and enriched during the stacking process, while the glucose and acetate content significantly increased. Flavor compounds such as esters and acids were positively correlated with dominant genera such as Lactobacillus, Bacillus, and Pichia. Stacking provides microorganisms for environmental screening, which regulates the microbial community structure and produces various metabolites and precursors of flavor substances to fully saccharify and promote the production of flavor substances. Stacking during the production of light-flavor Baijiu can help regulate the fermentation process and improve Baijiu quality.

Bacterial Diversity, Organic Acid, and Flavor Analysis of Dacha and Ercha Fermented Grains of Fen Flavor Baijiu.

Fen flavor Baijiu needs two rounds of fermentation, which will obtain Dacha after initial fermentation and Ercha after secondary fermentation. The quality of Baijiu is closely related to the microbes within fermented grains. However, the bacterial diversity in Dacha and Ercha fermented grains of Fen flavor Baijiu has not been reported. In the present study, the structure and diversity of bacteria communities within fermented grains of Fen flavor Baijiu were analyzed and evaluated using MiSeq platform’s HTS with a sequencing target of the V3-V4 region of the 16S rRNA gene. Through the analysis of physical and chemical indexes and electronic senses, the relationship between bacterial flora, organic acid, taste, and aroma in fermented grains was clarified. The results indicated that Lactobacillus was the main bacteria in Dacha, and the mean relative content was 97.53%. The bacteria within Ercha samples were Pseudomonas and Bacillus, mean relative content was 37.16 and 28.02%, respectively. The diversity of bacterial communities in Ercha samples was significantly greater than that in Dacha samples. The correlation between Lactobacillus and organic acids, especially lactic acid, led to the difference between Dacha and Ercha organic acids, which also made the pH value of Dacha lower and the sour taste significantly higher than Ercha. Lactobacillus was significantly positively correlated with a variety of aromas, which made Dacha the response value of aromas higher. In addition, Bacillus had a significant positive correlation with bitterness and aromatic compounds, which led to a higher response value of bitterness in Ercha and made it present an aromatic aroma. This study provides an in-depth analysis of the difference between different stages of Fen flavor Baijiu, and theoretical support for the standard production and improvement in quality of Fen flavor Baijiu in the future.

Effects of ultra-long fermentation time on the microbial community and flavor components of light-flavor Xiaoqu Baijiu based on fermentation tanks.

Microbial structure and succession of fermented grains play a significant role in Baijiu’s flavor and quality. In this study, high-throughput sequencing (HTS) coupled with headspace solid-phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS) were used to analyze the microbial community structures and flavor components in the fermented grains at the end of fermentation from different fermentation time of light-flavor Xiaoqu Baijiu. HTS results showed that Lactobacillus acetotolerans, Lactobacillus helveticus, Lactobacillus buchneri, Wickerhamomyces, Saccharomyces, and Condenascus were identified as the dominant microbes, but Lactobacillus (96.28%) exhibited obvious advantages at the end of ultra-long fermentation time (day 98). HS-SPME-GC-MS analysis revealed that esters and alcohols had the most abundance in fermented grains of day 98, containing high concentrations of ethyl acetate, diethyl succinate, phenylethyl alcohol, isoamyl alcohol, and n-propanol, which were related to the succession of Lactobacillus and yeast communities. Interestingly, the content of n-propanol in the ultra-long fermentation time samples (day 98) was 6 times of that in normal fermented grains (day 14), which may be caused by higher abundance of Lactobacillus in day 98 samples. Monte Carlo permutation test showed residual starch, acidity, and amino nitrogen (p < 0.05) were important factors affecting the microbial community. Together, these results shed light on the physicochemical changes, microbial dynamics, and key flavor components of fermented grains at the end of fermentation from different fermentation time and provide a strategy for further improvement of Baijiu quality.

Exploring the Mystery of the Sweetness of Baijiu by Sensory Evaluation, Compositional Analysis and Multivariate Data Analysis.

Sweetness is an important Baijiu quality marker, but there is limited research on it. In this study, the main contributors to Baijiu sweetness were identified by “sensomics” combined with “flavoromics”. A total of 43 volatile compounds (mostly esters) were found that appeared to contribute to Baijiu sweetness, through sensory-guided fractionation and compositional analysis. Correlation analysis between the volatile composition and perceived sweetness of 18 Baijiu samples with different sweet intensities identified 14 potential contributors. Additional testing verified that combining the 14 compounds reproduced Baijiu sweetness exactly, and omission testing identified ethyl hexanoate, hexyl hexanoate and ethyl 3-methylbutanoate as the major contributors to Baijiu sweetness. These findings not only broadened our understanding of Baijiu sweetness, but also highlighted the major contribution of volatile compounds to sweetness perception, knowledge which may facilitate future flavor modification of a wide variety of foods and beverages.

Correlation between microbial communities and flavor compounds during the fifth and sixth rounds of sauce-flavor baijiu fermentation

Sauce-flavor baijiu is a representative of Chinese traditional fermented baijiu using grains as the raw materials through the co-fermentation of microorganisms. The whole manufacturing process includes 7 times of distillation and generates 7 kinds of base baijius. The final product is a mixture of the 7 kinds of base baijius. Thus the base baijius greatly affect the quality of the final product. The quality of the base baijiu obtained by the sixth distillation is obviously poorer than that of the fifth one. However, the reason is still unclear and limits the quality control of baijiu fermentation. In this study, the flavor substances and microbiota in the up, middle and bottom layers of fermented grains in the fifth and sixth rounds were compared. Some flavor esters showed obviously decreased concentrations in the sixth round, including ethyl benzoneacetic acid, ethyl hexanoic acid, ethyl dodecanoic acid, diethyl butanedioic acid, and ethyl 2-hydroxyl-propanoic acid. Meanwhile, an off-flavor p-cresol was detected in the sixth round. Correlation analysis of flavor chemicals and microbiota indicated that fungi in the fifth round played an important role for ester synthesis. Some bacterial and fungal species were both positively correlated with p-cresol synthesis, and the related p-cresol metabolic pathways were proposed for the first time. These results revealed flavor divergences of fermented grains between the fifth and sixth rounds, and will ultimately help to improve baijiu quality.

Comparison of Potent Odorants in Traditional and Modern Types of Chinese Xiaoqu Liquor (Baijiu) Based on Odor Activity Values and Multivariate Analyses.

Predominant odorants in modern and traditional types of Chinese xiaoqu liquor (Baijiu) were identified and compared by the combined use of gas chromatography−olfactometry, odor activity values (OAVs), and multivariate analyses. A total of 79 aroma compounds were identified in a typical modern type xiaoqu Baijiu (M) and a typical traditional type xiaoqu Baijiu (T), 42 of them had OAV > 1 in both M and T samples. The main differences between the two samples were obtained for the concentration of 23 aroma-active compounds. A total of 22 samples made by different brewing processes were analyzed to confirm the differences. Partial least squares discriminant analysis confirmed that 20 compounds could be used as potential markers for discrimination between modern type xiaoqu Baijiu and traditional type xiaoqu Baijiu. Their difference in content is between 1.5 and 17.9 times for modern type xiaoqu Baijiu and traditional type xiaoqu Baijiu. The results showed the aroma characteristics of modern and traditional type xiaoqu Baijiu clearly and comprehensively, which will provide guidance for modern Baijiu quality control and evaluation.

Detection of viable and total fungal community in zaopei of Chinese strong-flavor baijiu using PMA combined with qPCR and HTS based on ITS2 region

BackgroundChinese strong-flavor baijiu (CSFB), one of the three major baijiu types, is the most popular baijiu type among consumers in China. A variety of microbes are involved in metabolizing raw materials to produce ethanol and flavor substances during fermentation, which fundamentally determined the quality of baijiu. It is of great importance to study microbial community of fermented grains (zaopei) during baijiu brewing process for improving its quality. In this study, we firstly used propidium monoazide (PMA) to treat zaopei samples from 5-year pit and 20-year pit for removing the interference of non-viable fungi, and analyzed the diversity of total fungi and viable fungi by quantitative PCR (qPCR) and high-throughput sequencing (HTS) based on ITS2 gene.ResultsThe results showed that total fungi and viable fungi displayed no significant differences at OTU, phylum, or genus levels during fermentation within two kinds of pits. A total of 6 phyla, 19 classes, and 118 genera in fungi were found based on OTUs annotation in zaopei samples from 5-year pit and 20-year pit. Besides, non-viable fungi had little effect on the fungal community diversity during the fermentation cycle. It was found that the most dominant viable fungi belonged to Saccharomyces, Kazachstania, Naumovozyma, and Trichosporon, and Naumovozyma was firstly detected in zaopei samples of CSFB. Moreover, based on the variation of flavor substances in zaopei samples, the quality of CSFB produced from older pit was better than that produced from younger pit.ConclusionThe non-viable fungi had little effect on the fungal diversity, structure, and relative abundance in zaopei samples of CSFB, and Naumovozyma was firstly detected in zaopei samples of CSFB. Our findings can be applied as guidance for improving the quality and stability of CSFB.

Characterization of Aroma Compounds in Cooked Sorghum Using Comprehensive Two-Dimensional Gas Chromatography-Time-of-Flight Mass Spectrometry and Gas Chromatography-Olfactometry-Mass Spectrometry.

Sorghum is the major raw material for the production of Chinese Baijiu (Chinese liquor) and has a great effect on the flavor of Baijiu. Volatiles in cooked glutinous and non-glutinous sorghum samples were extracted using solid-phase microextraction (SPME) and analyzed via comprehensive two-dimensional gas chromatography-time-of-flight mass spectrometry (GC×GC-TOFMS) and gas chromatography-olfactometry/mass spectrometry (GC-O/MS). A total of 145 volatile compounds and 52 potent odorant compounds were identified from both sorghum types according to the retention index, MS, aroma, and standards. Based on their aroma features, the compounds were grouped into eight general categories, and the intensities of each aroma group were summed. Moreover, most of the compounds detected in the cooked sorghums were also detected in commercial Chinese Baijiu, indicating that the aroma compounds produced during the sorghum cooking process have a direct and significant influence on the final flavor quality of Baijiu.

Channel Attention Convolutional Neural Network for Chinese Baijiu Detection With E-Nose

Electronic nose (E-nose) plays an important role in the detection of Chinese baijiu, which is an alcoholic beverage of high reputation. However, traditional e-nose data processing relies on manual selection of features with complicated preprocessing steps. The production process of baijiu with the same flavor is similar, but due to the limited number of sensors, it is not easy to quickly extract specific features with e-nose. To overcome this shortcoming, we propose a novel method based on Channel Attention Convolutional Neural Network (CA-CNN) for authenticity identification of Chinese baijiu. The underlying channel attention module analyzes the dependencies between channels and learning weights in order to improve the detection accuracy. In particular, we evaluated the comprehensive performance of the system by comparing it with traditional machine learning methods. The prediction accuracy of the CA-CNN (98.53%) is better than the back-propagation artificial neural network (BP-ANN) (90.83%), the support vector machine (SVM) (84.5%), and the random forest (RF) (86.867%). The experiment results show that the CA-CNN has reasonable reliability, stability and good prediction performance in the quality classification of Chinese baijiu. It provides an effective reference method for the standardization of baijiu quality inspection.

Furfural and organic acid targeted carbon dot sensor array for the accurate identification of Chinese baijiu.

Baijiu quality control has always been a major challenge for researchers. In this paper, taking furfural which is closely related to baijiu brewing process and organic acids related to baijiu fermentation process and microorganism types as the main discriminating factors, a carbon dot (CDs) sensor array targeting furfural and organic acids was constructed to identify 41 kinds of baijiu. Through the fluorescence response investigation of CDs synthesized by isomers of benzenediol, aminophenol, and phenylenediamine to different baijiu, two CDs synthesized by meta-benzene substitutions containing -NH2 were selected to build a fluorescence sensor array. Due to the aggregation-induced enhancement effect between furfural and the CDs, and the protonation of organic acid and the CDs, different fluorescence changes were observed, the sensor array combined with partial least squares regression could quantitatively analyze furfural and organic acids. What is more, semi-quantitative analysis of furfural and lactic acid in baijiu was performed. Owing to the interaction of the two CDs with furfural and organic acids in baijiu, the sensor array could accurately identify different baijiu through linear discriminant analysis. This sensor array has potential applicationsin the quantitative analysis of flavor substances in other alcoholic beverages, moreover, this method could provide a quick response and practical tool for real-time quality control monitoring in the baijiu industry.