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Zhang L, Liu Y, Cai Z, Wu M, Fan Y. Organic-Acid-Sensitive Visual Sensor Array Based on Fenton Reagent-Phenol/Aniline for the Rapid Species and Adulteration Assessment of Baijiu. Foods 2024; 13:2139. [PMID: 38998644 PMCID: PMC11241830 DOI: 10.3390/foods13132139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Revised: 06/30/2024] [Accepted: 07/03/2024] [Indexed: 07/14/2024] Open
Abstract
Baijiu is an ancient, distilled spirit with a complicated brewing process, unique taste, and rich trace components. These trace components play a decisive role in the aroma, taste, and especially the quality of baijiu. In this paper, the redox reaction between the Fenton reagent and four reducing agents, including o-phenylenediamine (OPD), p-phenylenediamine (PPD), 4-aminophenol (PAP), and 2-aminophenol (OAP), was adopted to construct a four-channel visual sensor array for the rapid detection of nine kinds of common organic acids in baijiu and the identification of baijiu and its adulteration. By exploiting the color-changing fingerprint response brought by organic acids, each organic acid could be analyzed accurately when combined with an optimized variable-weighted least-squares support vector machine based on a particle swarm optimization (PSO-VWLS-SVM) model. What is more, this novel sensor also could achieve accurate semi-quantitative analysis of the mixed organic acid samples via partial least squares discriminant analysis (PLSDA). Most importantly, the sensor array could be further used for the identification of baijiu with different species through the PLSDA model and the adulteration assessment with the one-class partial least squares (OCPLS) model simultaneously.
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Affiliation(s)
| | | | | | | | - Yao Fan
- State Key Laboratory Breeding Base of Green Chemistry-Synthesis Technology, College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310032, China; (L.Z.); (Y.L.); (Z.C.); (M.W.)
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Zhu Y, Xiang F, Su Y, Jiang X, Cang Y, Long W, Lan W, Deng G, Chen H, She Y, Fu H. Authenticity identification of high - Temperature Daqu Baijiu through multi-channel visual array sensor of organic dyes combined with smart phone App. Food Chem 2024; 438:137980. [PMID: 37979267 DOI: 10.1016/j.foodchem.2023.137980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 11/05/2023] [Accepted: 11/11/2023] [Indexed: 11/20/2023]
Abstract
High - temperature Daqu Baijiu faces a challenge from illegal adulteration of high-grade Baijiu bottles with low-grade Baijiu, affecting its quality and value. This study developed a rapid identification method for high temperature Daqu Baijiu with the same aroma type using a four-channel visual array sensor and detection of color changes caused by competition coordination with Zn2+ and color-changing organic dyes. The array sensor demonstrated high stability and repeatability in targeting flavor components and achieved 97.78 % or more accuracy combined with DD-SIMCA model in detecting adulteration across the Baijiu with same aroma type. The results of GC-MS and Quantum Chemical Calculation showed that esters, acids, and pyrazines played a crucial role. The smart phone App could quickly identify the authenticity of Baijiu with accuracy achieved 93 %. This research provides a foundation for rapid and reliable assessment of Baijiu quality and authenticity, enabling the industry to combat fraudulent practices effectively.
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Affiliation(s)
- Yanmei Zhu
- The Modernization Engineering Technology Research Center of Ethnic Minority Medicine of Hubei Province, School of Pharmaceutical Sciences, South-Central Minzu University, Wuhan 430074, China
| | - Fushuang Xiang
- The Modernization Engineering Technology Research Center of Ethnic Minority Medicine of Hubei Province, School of Pharmaceutical Sciences, South-Central Minzu University, Wuhan 430074, China
| | - Yuanyuan Su
- Suqian Product Quality Supervision and Testing Institute of Jiangsu Province, Suqian 223800, China
| | - Xue Jiang
- Suqian Product Quality Supervision and Testing Institute of Jiangsu Province, Suqian 223800, China
| | - Yipeng Cang
- Suqian Product Quality Supervision and Testing Institute of Jiangsu Province, Suqian 223800, China
| | - Wanjun Long
- The Modernization Engineering Technology Research Center of Ethnic Minority Medicine of Hubei Province, School of Pharmaceutical Sciences, South-Central Minzu University, Wuhan 430074, China
| | - Wei Lan
- The Modernization Engineering Technology Research Center of Ethnic Minority Medicine of Hubei Province, School of Pharmaceutical Sciences, South-Central Minzu University, Wuhan 430074, China
| | - Gaoqiong Deng
- The Modernization Engineering Technology Research Center of Ethnic Minority Medicine of Hubei Province, School of Pharmaceutical Sciences, South-Central Minzu University, Wuhan 430074, China
| | - Hengye Chen
- The Modernization Engineering Technology Research Center of Ethnic Minority Medicine of Hubei Province, School of Pharmaceutical Sciences, South-Central Minzu University, Wuhan 430074, China.
| | - Yuanbin She
- State Key Laboratory Breeding Base of Green Chemistry-Synthesis Technology, College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310032, China.
| | - Haiyan Fu
- The Modernization Engineering Technology Research Center of Ethnic Minority Medicine of Hubei Province, School of Pharmaceutical Sciences, South-Central Minzu University, Wuhan 430074, China.
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Wu Y, Chen H, Sun Y, Huang H, Chen Y, Hong J, Liu X, Wei H, Tian W, Zhao D, Sun J, Huang M, Sun B. Integration of Chemometrics and Sensory Metabolomics to Validate Quality Factors of Aged Baijiu (Nianfen Baijiu) with Emphasis on Long-Chain Fatty Acid Ethyl Esters. Foods 2023; 12:3087. [PMID: 37628086 PMCID: PMC10453570 DOI: 10.3390/foods12163087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 08/14/2023] [Accepted: 08/14/2023] [Indexed: 08/27/2023] Open
Abstract
The storage process of Baijiu is an integral part of its production (the quality undergoes substantial changes during the aging process of Baijiu). As the storage time extends, the flavor compounds in Baijiu tend to undergo coordinated transformation, thereby enhancing the quality of Baijiu. Among them, long-chain fatty acid ethyl esters (LCFAEEs) were widely distributed in Baijiu and have been shown to have potential contributions to the quality of Baijiu. However, the current research on LCFAEEs in Baijiu predominantly focuses on the olfactory sensation aspect, while there is a lack of systematic investigation into their influence on taste and evaluation after drinking Baijiu during the aging process. In light of this, the present study investigates the distribution of LCFAEEs in Baijiu over different years. We have combined modern flavor sensory analysis with multivariate chemometrics to comprehensively and objectively explore the influence of LCFAEEs on Baijiu quality. The results demonstrate a significant positive correlation between the concentration of LCFAEEs and the fruity aroma (p < 0.05, r = 0.755) as well as the aged aroma (p < 0.05, r = 0.833) of Baijiu within a specific range; they can effectively reduce the off-flavors and spicy sensation of Baijiu. Furthermore, additional experiments utilizing a single variable suggest that LCFAEEs were crucial factors influencing the flavor of Baijiu, with Ethyl Palmitate (EP) being the most notable LCFAEE that merits further systematic investigation.
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Affiliation(s)
- Yashuai Wu
- China Food Flavor and Nutrition Health Innovation Center, Beijing Technology and Business University, Beijing 100048, China; (Y.W.); (H.C.); (Y.S.); (H.H.); (Y.C.); (J.H.); (X.L.); (H.W.); (J.S.); (M.H.); (B.S.)
- Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology and Business University, Beijing 100048, China
- Beijing Laboratory of Food Quality and Safety, Beijing Technology and Business University, Beijing 100048, China
| | - Hao Chen
- China Food Flavor and Nutrition Health Innovation Center, Beijing Technology and Business University, Beijing 100048, China; (Y.W.); (H.C.); (Y.S.); (H.H.); (Y.C.); (J.H.); (X.L.); (H.W.); (J.S.); (M.H.); (B.S.)
- Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology and Business University, Beijing 100048, China
- Beijing Laboratory of Food Quality and Safety, Beijing Technology and Business University, Beijing 100048, China
| | - Yue Sun
- China Food Flavor and Nutrition Health Innovation Center, Beijing Technology and Business University, Beijing 100048, China; (Y.W.); (H.C.); (Y.S.); (H.H.); (Y.C.); (J.H.); (X.L.); (H.W.); (J.S.); (M.H.); (B.S.)
- Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology and Business University, Beijing 100048, China
- Beijing Laboratory of Food Quality and Safety, Beijing Technology and Business University, Beijing 100048, China
| | - He Huang
- China Food Flavor and Nutrition Health Innovation Center, Beijing Technology and Business University, Beijing 100048, China; (Y.W.); (H.C.); (Y.S.); (H.H.); (Y.C.); (J.H.); (X.L.); (H.W.); (J.S.); (M.H.); (B.S.)
- Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology and Business University, Beijing 100048, China
- Beijing Laboratory of Food Quality and Safety, Beijing Technology and Business University, Beijing 100048, China
| | - Yiyuan Chen
- China Food Flavor and Nutrition Health Innovation Center, Beijing Technology and Business University, Beijing 100048, China; (Y.W.); (H.C.); (Y.S.); (H.H.); (Y.C.); (J.H.); (X.L.); (H.W.); (J.S.); (M.H.); (B.S.)
- Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology and Business University, Beijing 100048, China
- Beijing Laboratory of Food Quality and Safety, Beijing Technology and Business University, Beijing 100048, China
| | - Jiaxin Hong
- China Food Flavor and Nutrition Health Innovation Center, Beijing Technology and Business University, Beijing 100048, China; (Y.W.); (H.C.); (Y.S.); (H.H.); (Y.C.); (J.H.); (X.L.); (H.W.); (J.S.); (M.H.); (B.S.)
- Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology and Business University, Beijing 100048, China
- Beijing Laboratory of Food Quality and Safety, Beijing Technology and Business University, Beijing 100048, China
- Department of Nutrition and Health, China Agriculture University, Beijing 100193, China
| | - Xinxin Liu
- China Food Flavor and Nutrition Health Innovation Center, Beijing Technology and Business University, Beijing 100048, China; (Y.W.); (H.C.); (Y.S.); (H.H.); (Y.C.); (J.H.); (X.L.); (H.W.); (J.S.); (M.H.); (B.S.)
- Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology and Business University, Beijing 100048, China
- Beijing Laboratory of Food Quality and Safety, Beijing Technology and Business University, Beijing 100048, China
| | - Huayang Wei
- China Food Flavor and Nutrition Health Innovation Center, Beijing Technology and Business University, Beijing 100048, China; (Y.W.); (H.C.); (Y.S.); (H.H.); (Y.C.); (J.H.); (X.L.); (H.W.); (J.S.); (M.H.); (B.S.)
- Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology and Business University, Beijing 100048, China
- Beijing Laboratory of Food Quality and Safety, Beijing Technology and Business University, Beijing 100048, China
| | - Wenjing Tian
- Department of Food and Bioengineering, Beijing Vocational College of Agriculture, Beijing 102442, China;
| | - Dongrui Zhao
- China Food Flavor and Nutrition Health Innovation Center, Beijing Technology and Business University, Beijing 100048, China; (Y.W.); (H.C.); (Y.S.); (H.H.); (Y.C.); (J.H.); (X.L.); (H.W.); (J.S.); (M.H.); (B.S.)
- Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology and Business University, Beijing 100048, China
- Beijing Laboratory of Food Quality and Safety, Beijing Technology and Business University, Beijing 100048, China
| | - Jinyuan Sun
- China Food Flavor and Nutrition Health Innovation Center, Beijing Technology and Business University, Beijing 100048, China; (Y.W.); (H.C.); (Y.S.); (H.H.); (Y.C.); (J.H.); (X.L.); (H.W.); (J.S.); (M.H.); (B.S.)
- Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology and Business University, Beijing 100048, China
- Beijing Laboratory of Food Quality and Safety, Beijing Technology and Business University, Beijing 100048, China
| | - Mingquan Huang
- China Food Flavor and Nutrition Health Innovation Center, Beijing Technology and Business University, Beijing 100048, China; (Y.W.); (H.C.); (Y.S.); (H.H.); (Y.C.); (J.H.); (X.L.); (H.W.); (J.S.); (M.H.); (B.S.)
- Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology and Business University, Beijing 100048, China
- Beijing Laboratory of Food Quality and Safety, Beijing Technology and Business University, Beijing 100048, China
| | - Baoguo Sun
- China Food Flavor and Nutrition Health Innovation Center, Beijing Technology and Business University, Beijing 100048, China; (Y.W.); (H.C.); (Y.S.); (H.H.); (Y.C.); (J.H.); (X.L.); (H.W.); (J.S.); (M.H.); (B.S.)
- Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology and Business University, Beijing 100048, China
- Beijing Laboratory of Food Quality and Safety, Beijing Technology and Business University, Beijing 100048, China
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Wei XL, Jiang L, Shi QL, Mo ZH. Machine-learning-assisted SERS nanosensor platform toward chemical fingerprinting of Baijiu flavors. Mikrochim Acta 2023; 190:207. [PMID: 37165167 DOI: 10.1007/s00604-023-05794-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 04/10/2023] [Indexed: 05/12/2023]
Abstract
A novel fingerprinting platform for multiplex detection of flavor molecules in Baijiu was developed by using a surface-enhanced Raman scattering (SERS) nanosensor array in combination with machine learning. The SERS sensors were constructed by core-shell Fe3O4@Ag nanoparticles modified with molecules carrying end-groups of hydroxyl, pyridyl, methyl, and amino, respectively, which interacted with flavors and led to changes in the sensors' spectra. All the Raman spectra acquired from the nanosensor array contacting with the sample were concatenated into a single SERS super-spectrum, representing the flavor fingerprint which was recognized through machine learning. Principal component analysis, support vector machine, and partial least squares were utilized to build classification and quantitation models for predictive analyses. The SERS nanosensor array was successfully used for fingerprinting ten typical flavors in Baijiu including four esters, three alcohols, and three acids, with an accuracy of 100%, linear detection ranges over two orders of magnitude, and limits of detection ranging from 3.45 × 10-3 mg/L of phenylethyl acetate to 1.21 × 10-2 mg/L of ethyl hexanoate. It was also demonstrated that satisfactory accuracies (recoveries) ranging from 96.2 to 104% and relative standard deviations ranging from 0.65 to 2.78% were obtained for the simultaneous quantification of 3-methylbutyl acetate and phenylethyl acetate in eighteen Baijiu samples of three flavor types including sauce flavor, strong flavor, and light flavor. Compared with the existing detection techniques, this chemical fingerprinting platform is easy to use, highly sensitive, and can perform multiplex detection, which has great potential for practical applications.
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Affiliation(s)
- Xiao-Lan Wei
- College of Environment and Resources, Chongqing Technology and Business University, Chongqing, 400067, China.
| | - Lan Jiang
- College of Environment and Resources, Chongqing Technology and Business University, Chongqing, 400067, China
| | - Qin-Ling Shi
- College of Environment and Resources, Chongqing Technology and Business University, Chongqing, 400067, China
| | - Zhi-Hong Mo
- College of Chemistry and Chemical Engineering, Chongqing University, Chongqing, 400067, China.
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Colorimetric sensor arrays for the differentiation of baijiu based on amino-acid-modified gold nanoparticles. Sci Rep 2022; 12:18596. [PMID: 36329105 PMCID: PMC9633599 DOI: 10.1038/s41598-022-21234-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 09/26/2022] [Indexed: 11/06/2022] Open
Abstract
It is of great significance for quality control to realize the discrimination for baijiu from different brands and origins. Strong-aroma-type baijiu (SAB), one of the most important Chinese aroma-type baijiu, exhibits the largest variety and market share. In this study, we proposed colorimetric sensor arrays based on gold nanoparticles (AuNPs) modified with different amino acids (AAs) to recognize the organic acids, and further distinguish different SABs. Three representative AAs, namely methionine (Met), tryptophan (Trp), and histidine (His), were selected to modify the AuNPs surface. The investigation of the effect of the main ingredients of SAB on AA@AuNPs aggregation confirmed that this aggregation mainly resulted from organic acids. Moreover, this aggregation was successfully used for differentiating 11 organic acids. Different pH conditions can not only cause changes of the content of organic acids in baijiu, but also disrupt the balance among flavor substances of baijiu to some extent. Consequently, the AA@AuNPs arrays under two pH conditions have been successfully applied to distinguish 14 kinds of SABs from different brands and origins. The proposed colorimetric sensor method is simple, rapid, and visualized and provides a potential application prospect for the quality control of baijiu and other alcoholic beverages.
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