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Wu M, Zhang J, Fan Y, Chen H, Wang S, Shen C, Fu H, She Y. Esters-targeted colorimetric sensor array for the authenticity discrimination of strong-aroma baijiu with different origins. Food Chem 2024; 453:139560. [PMID: 38761721 DOI: 10.1016/j.foodchem.2024.139560] [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: 12/31/2023] [Revised: 04/17/2024] [Accepted: 05/02/2024] [Indexed: 05/20/2024]
Abstract
Baijiu authenticity has been a frequent problem driven by economic interests in recent years, so it is important to discriminate against baijiu with different origins. Herein, we proposed a simple and efficient esters-targeted colorimetric sensor array mediated by hydroxylamine hydrochloride. Esters undergo a nucleophilic addition reaction with hydroxylamine hydrochloride to form hydroxamic acid, which rapidly forms a purplish red ferric hydroxamate under FeCl3·6H2O. Bromophenol blue and rhodamine B enrich the color effects. The array detected 12 esters with a detection limit on the order of 10-5 of most esters and 16 mixed esters with R2 > 0.999 and recoveries close to 100%. Otherwise, for discriminating 34 strong-aroma baijius (SABs), the array has an accuracy of 98% according to the origin, and 95% according to the grades, with a response time of 1 min. This study provides a new strategy for authenticity determination and quality control of baijiu.
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Affiliation(s)
- Meixia Wu
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310032, PR China
| | - Jinbin Zhang
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310032, PR China
| | - Yao Fan
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310032, PR China
| | - Hengye Chen
- The Modernization Engineering Technology Research Center of Ethnic Minority Medicine of Hubei Province, College of Pharmacy, South-Central Minzu University, Wuhan 430074, PR China
| | - Songtao Wang
- National Engineering Research Center of Solid-State Brewing, Luzhou Laojiao Co. Ltd., Luzhou 646000, PR China
| | - Caihong Shen
- National Engineering Research Center of Solid-State Brewing, Luzhou Laojiao Co. Ltd., Luzhou 646000, PR China
| | - Haiyan Fu
- The Modernization Engineering Technology Research Center of Ethnic Minority Medicine of Hubei Province, College of Pharmacy, South-Central Minzu University, Wuhan 430074, PR China.
| | - Yuanbin She
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310032, PR China.
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2
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Dong W, Fan Z, Shang X, Han M, Sun B, Shen C, Liu M, Lin F, Sun X, Xiong Y, Deng B. Nanotechnology-based optical sensors for Baijiu quality and safety control. Food Chem 2024; 447:138995. [PMID: 38513496 DOI: 10.1016/j.foodchem.2024.138995] [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: 10/04/2023] [Revised: 01/27/2024] [Accepted: 03/09/2024] [Indexed: 03/23/2024]
Abstract
Baijiu quality and safety have received considerable attention owing to the gradual increase in its consumption. However, owing to the unique and complex process of Baijiu production, issues leading to quality and safety concerns may occur during the manufacturing process. Therefore, establishing appropriate analytical methods is necessary for Baijiu quality assurance and process control. Nanomaterial (NM)-based optical sensing techniques have garnered widespread interest because of their unique advantages. However, comprehensive studies on nano-optical sensing technology for quality and safety control of Baijiu are lacking. In this review, we systematically summarize NM-based optical sensor applications for the accurate detection and quantification of analytes closely related to Baijiu quality and safety. Furthermore, we evaluate the sensing mechanisms for each application. Finally, we discuss the challenges nanotechnology poses for Baijiu analysis and future trends. Overall, nanotechnological approaches provide a potentially useful alternative for simplifying Baijiu analysis and improving final product quality and safety.
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Affiliation(s)
- Wei Dong
- Beijing Laboratory of Food Quality and Safety, Beijing Technology and Business University, Beijing 100048, China; Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology and Business University, Beijing 100048, China; Key Laboratory of Geriatric Nutrition and Health (Beijing Technology and Business University), Ministry of Education, Beijing 100048, China
| | - Zhen Fan
- Beijing Laboratory of Food Quality and Safety, Beijing Technology and Business University, Beijing 100048, China; Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology and Business University, Beijing 100048, China; Key Laboratory of Geriatric Nutrition and Health (Beijing Technology and Business University), Ministry of Education, Beijing 100048, China
| | - Xiaolong Shang
- Beijing Laboratory of Food Quality and Safety, Beijing Technology and Business University, Beijing 100048, China; Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology and Business University, Beijing 100048, China; Key Laboratory of Geriatric Nutrition and Health (Beijing Technology and Business University), Ministry of Education, Beijing 100048, China
| | - Mengjun Han
- Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology and Business University, Beijing 100048, China; Key Laboratory of Geriatric Nutrition and Health (Beijing Technology and Business University), Ministry of Education, Beijing 100048, China
| | - Baoguo Sun
- Beijing Laboratory of Food Quality and Safety, Beijing Technology and Business University, Beijing 100048, China; Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology and Business University, Beijing 100048, China; Key Laboratory of Geriatric Nutrition and Health (Beijing Technology and Business University), Ministry of Education, Beijing 100048, China
| | | | - Miao Liu
- Luzhou Laojiao Co. Ltd., Luzhou 646000, China
| | - Feng Lin
- Luzhou Laojiao Co. Ltd., Luzhou 646000, China
| | - Xiaotao Sun
- Beijing Laboratory of Food Quality and Safety, Beijing Technology and Business University, Beijing 100048, China; Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology and Business University, Beijing 100048, China; Key Laboratory of Geriatric Nutrition and Health (Beijing Technology and Business University), Ministry of Education, Beijing 100048, China.
| | | | - Bo Deng
- Luzhou Laojiao Co. Ltd., Luzhou 646000, China
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3
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Wu M, Fan Y, Zhang J, Chen H, Wang S, Shen C, Fu H, She Y. A novel organic acids-targeted colorimetric sensor array for the rapid discrimination of origins of Baijiu with three main aroma types. Food Chem 2024; 447:138968. [PMID: 38489877 DOI: 10.1016/j.foodchem.2024.138968] [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: 12/29/2023] [Revised: 02/19/2024] [Accepted: 03/05/2024] [Indexed: 03/17/2024]
Abstract
Given the severe problem of Baijiu authenticity, it is essential to discriminate Baijiu from different origins quickly and effectively. As organic acids (OAs) are the most dominant taste-imparting substances in Baijiu, we proposed a simple, fast, and effective OAs-targeted colorimetric sensor array based on the colorimetric reaction of 4-aminophenol (AP)/4-amino-3-chlorophenol (ACP) under oxidation of Cu(NO3)2 for the rapid discrimination of origins of Baijiu with three main aroma types. Hydrogen ions ionized from OAs induced the protonation of the amino group, which blocked the colorimetric reaction, and the different levels of OAs in Baijiu enabled the array to discriminate different origins of Baijiu. The array was implemented to analyze 10 simple OAs and 16 mixed OAs and further for the discrimination of 42 Baijius with an accuracy of 98%. This method provided an efficient research strategy for a basis for rapid quality analysis of Baijiu.
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Affiliation(s)
- Meixia Wu
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310032, PR China
| | - Yao Fan
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310032, PR China
| | - Jinbin Zhang
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310032, PR China
| | - Hengye Chen
- The Modernization Engineering Technology Research Center of Ethnic Minority Medicine of Hubei Province, College of Pharmacy, South-Central Minzu University, Wuhan 430074, PR China
| | - Songtao Wang
- National Engineering Research Center of Solid-State Brewing, Luzhou Laojiao Co. Ltd., Luzhou 646000, PR China
| | - Caihong Shen
- National Engineering Research Center of Solid-State Brewing, Luzhou Laojiao Co. Ltd., Luzhou 646000, PR China
| | - Haiyan Fu
- The Modernization Engineering Technology Research Center of Ethnic Minority Medicine of Hubei Province, College of Pharmacy, South-Central Minzu University, Wuhan 430074, PR China
| | - Yuanbin She
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310032, PR China.
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4
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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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6
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Qu S, Jia X, An Q, Zhang N, Fan G, Li Z, Hu Z. Effects of irradiation on the aging and sensory quality of navel orange distilled spirits. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2024; 104:979-992. [PMID: 37715570 DOI: 10.1002/jsfa.12985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 09/11/2023] [Accepted: 09/16/2023] [Indexed: 09/17/2023]
Abstract
BACKGROUND 60 Co-γ irradiation can simulate the effects of aging and enhance the flavor of distilled spirits. The present study aimed to investigate the effects of 0, 2, 4, 6, 8 and 10 kGy 60 Co-γ irradiation doses on the key aroma components in newly produced navel orange distilled spirits and thus determine the mechanism of their aging distilled spirits. RESULTS The identification of aroma compounds demonstrated that ethyl hexanoate, d-limonene, ethyl octanoate, 3-methyl-1-butanol and linalool are the key aroma compounds in navel orange distilled spirits, which were increased except for linalool with irradiation doses of 2-6 kGy. Irradiation treatment simulated the effects of the aging of navel orange distilled spirits by promoting the content of total acids, total esters and aldehydes. Irradiation doses of 2-6 kGy increased the aroma intensity of navel orange distilled spirits, reaching an optimum at 6 kGy. However, irradiation doses as high as 8 and 10 kGy decreased the content of esters in navel orange distilled spirits, which led to a deterioration of the spirit flavor. CONCLUSION Low doses of 60 Co-γ irradiation can simulate the effects of the aging by increasing the content of key aromatic compounds in navel orange distilled spirits. © 2023 Society of Chemical Industry.
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Affiliation(s)
- Shasha Qu
- Key Laboratory of Environment Correlative Dietology, Ministry of Education, College of Food Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Xiao Jia
- Key Laboratory of Environment Correlative Dietology, Ministry of Education, College of Food Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Qi An
- Key Laboratory of Environment Correlative Dietology, Ministry of Education, College of Food Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Nawei Zhang
- Key Laboratory of Environment Correlative Dietology, Ministry of Education, College of Food Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Gang Fan
- Key Laboratory of Environment Correlative Dietology, Ministry of Education, College of Food Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Zhenglun Li
- Zigui County Qugu Food Co. Ltd, Yichang, China
| | - Zhaoxing Hu
- Zigui County Qugu Food Co. Ltd, Yichang, China
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7
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Yu Q, Mou F, Xiao J, Zhan C, Li L, Chang X, Dong X, Chen M, Wang X, Chen M, Fang S. Correlational analysis of physicochemical indexes, microbial communities, and volatile components in light-flavor Daqu from north and south regions of China. World J Microbiol Biotechnol 2023; 40:54. [PMID: 38147274 DOI: 10.1007/s11274-023-03865-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 12/01/2023] [Indexed: 12/27/2023]
Abstract
Daqu is of great significance to the brewing process of Baijiu, and there are variations in the light-flavor Baijiu Daqu in different regions. However, few studies have been conducted on light-flavor Daqu from the north and south regions of China. In this study, the physicochemical indices, volatile flavor components, and microbial community structure of two types of Daqu from the north and south regions of China were comparatively analyzed. The study findings reveal that Daqu originating from the southern region of China (HB) exhibits superior moisture content, acidity, starch content, and saccharification power. In contrast, Daqu from the northern region of China (SX) displays higher fermentation, esterification, and liquefaction power. The analysis of the microbial community structure revealed that HB was dominated by Bacillus, Kroppenstedtia, Saccharomycopsis, and Thermoascus, while SX was dominated by Bacillus, Prevotella, and Saccharomycopsis. The analysis detected a total of 47 volatile components in both HB Daqu and SX Daqu. The volatile components of pyrazine were significantly more abundant in HB Daqu than in SX Daqu, while alcohol compounds were more prominent in SX Daqu than in HB Daqu. In addition, the RDA analysis established a correlation between dominant microorganisms and volatile components. Cyanobacteria, Fusobacteriota, Ascomycota, Blastocladiomycota, Basidiomycota, and Mucormyce exhibited positive correlations with a significant proportion of the key volatile compounds. This study establishes a scientific foundation for improving the quality of light-flavor Daqu liquor in different regions of China.
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Affiliation(s)
- Qi Yu
- Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Key Laboratory of Fermentation Engineering (Ministry of Education), Hubei Key Laboratory of Industrial Microbiology, School of Food and Biological Engineering, Hubei University of Technology, 28 Nanli Road, Wuhan, 430068, China
| | - Feiyan Mou
- Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Key Laboratory of Fermentation Engineering (Ministry of Education), Hubei Key Laboratory of Industrial Microbiology, School of Food and Biological Engineering, Hubei University of Technology, 28 Nanli Road, Wuhan, 430068, China
| | - Junwen Xiao
- Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Key Laboratory of Fermentation Engineering (Ministry of Education), Hubei Key Laboratory of Industrial Microbiology, School of Food and Biological Engineering, Hubei University of Technology, 28 Nanli Road, Wuhan, 430068, China
| | - Cheng Zhan
- Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Key Laboratory of Fermentation Engineering (Ministry of Education), Hubei Key Laboratory of Industrial Microbiology, School of Food and Biological Engineering, Hubei University of Technology, 28 Nanli Road, Wuhan, 430068, China
| | - Liang Li
- Huanghelou Distillery Co. Ltd, Wuhan, 430068, China
| | - Xu Chang
- Angel Yeast Co. Ltd, Yichang, 443200, China
| | | | - Maobin Chen
- Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Key Laboratory of Fermentation Engineering (Ministry of Education), Hubei Key Laboratory of Industrial Microbiology, School of Food and Biological Engineering, Hubei University of Technology, 28 Nanli Road, Wuhan, 430068, China
| | - Xinrui Wang
- Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Key Laboratory of Fermentation Engineering (Ministry of Education), Hubei Key Laboratory of Industrial Microbiology, School of Food and Biological Engineering, Hubei University of Technology, 28 Nanli Road, Wuhan, 430068, China
| | - Mei Chen
- Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Key Laboratory of Fermentation Engineering (Ministry of Education), Hubei Key Laboratory of Industrial Microbiology, School of Food and Biological Engineering, Hubei University of Technology, 28 Nanli Road, Wuhan, 430068, China
| | - Shangling Fang
- Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), Key Laboratory of Fermentation Engineering (Ministry of Education), Hubei Key Laboratory of Industrial Microbiology, School of Food and Biological Engineering, Hubei University of Technology, 28 Nanli Road, Wuhan, 430068, China.
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8
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Deng J, Ma Y, Liu X, Xu J, Luo H, Luo X, Huo D, Hou C. Identification of Chinese baijiu from the same brand based on a graphene quantum dots fluorescence sensing array. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2023; 15:5891-5900. [PMID: 37905962 DOI: 10.1039/d3ay01083j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/02/2023]
Abstract
The identification of Chinese baijiu is crucial to regulating the international market and maintaining legitimate rights, as the popularity, influence and awareness of baijiu are growing. A graphene quantum dot (GQD) based fluorescence sensor array is designed in this paper. Upon using only GQDs as a single sensing element, combining three different solvents improves the sensing array's detection sensitivity while simplifying material preparation and experimental detection. Adding organic substances creates intermolecular forces between the GQDs and the solvent, causing the fluorescence intensity to change. The sensor array was able to distinguish 21 types of organic matter, different ratios of quaternary mixed organic materials and 17 types of baijiu of the same brand. It also showed excellent performance in the detection of species in blind samples, with the machine learning algorithm successfully distinguishing baijiu from five other distilled spirits. The experiment provides guidance for the practical application of GQDs and provides a simple but effective reference for sensor arrays to detect baijiu.
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Affiliation(s)
- Jiaxi Deng
- Key Laboratory for Biorheological Science and Technology of Ministry of Education, Bioengineering College of Chongqing University, Chongqing 400044, PR China.
| | - Yi Ma
- Liquor Making Biology Technology and Application of Key Laboratory of Sichuan Province, College of Bioengineering, Sichuan University of Science and Engineering, 188 University Town, Yibin 644000, PR China
| | - Xiaofang Liu
- Chongqing Key Laboratory of Bio-perception & Intelligent Information Processing, School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, 400044, PR China.
| | - Jingbing Xu
- Chongqing Institute for Food and Drug Control, Chongqing 401121, PR China
| | - Huibo Luo
- Liquor Making Biology Technology and Application of Key Laboratory of Sichuan Province, College of Bioengineering, Sichuan University of Science and Engineering, 188 University Town, Yibin 644000, PR China
| | - Xiaogang Luo
- Key Laboratory for Biorheological Science and Technology of Ministry of Education, Bioengineering College of Chongqing University, Chongqing 400044, PR China.
| | - Danqun Huo
- Key Laboratory for Biorheological Science and Technology of Ministry of Education, Bioengineering College of Chongqing University, Chongqing 400044, PR China.
- Chongqing Key Laboratory of Bio-perception & Intelligent Information Processing, School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, 400044, PR China.
| | - Changjun Hou
- Key Laboratory for Biorheological Science and Technology of Ministry of Education, Bioengineering College of Chongqing University, Chongqing 400044, PR China.
- Liquor Making Biology Technology and Application of Key Laboratory of Sichuan Province, College of Bioengineering, Sichuan University of Science and Engineering, 188 University Town, Yibin 644000, PR China
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9
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Duan XH, Li Y, Li HW, Wu Y. Accurate ethanol determination in Chinese Baijiu based on red-emitted carbon quantum dots (CQDs) and a simple pH correction. Food Chem 2023; 428:136733. [PMID: 37429243 DOI: 10.1016/j.foodchem.2023.136733] [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: 11/21/2022] [Revised: 06/16/2023] [Accepted: 06/24/2023] [Indexed: 07/12/2023]
Abstract
The quality control of Baijiu is necessary including ethanol content. In this work, red-emitted carbon quantum dots based on p-phenylenediamine (PPD-CQDs) were fabricated for accurate determination of ethanol in Baijiu. The good linear response of PPD-CQDs to ethanol-water solution (E-Ws; 20-80 vol%) offered the potential for ethanol determination in practice. However, further application of this procedure to Baijiu resulted in a certain deviation. After excluding interference from most of the ingredients involved, a simple pH correction on Baijiu made application of the process practicable. The red-emission of PPD-CQDs supported analysis of Baijiu with different flavors and ethanol monitoring. Therefore, a quick-response fluorescence method was established for Baijiu ethanol determination; this method can be applied to the many varieties of Chinese Baijiu available and also has potential for use in other alcoholic beverages.
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Affiliation(s)
- Xin-He Duan
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, No. 2699 Qianjin Street, Changchun 130012, PR China; Institute of Theoretical Chemistry, College of Chemistry, Jilin University, No. 2 Liutiao Road, Changchun 130023, PR China
| | - Yi Li
- China Light Industry Enterprises Investment and Development Association, 22B. Fuwai Avenue, Xicheng District, Beijing 100833, PR China
| | - Hong-Wei Li
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, No. 2699 Qianjin Street, Changchun 130012, PR China; Institute of Theoretical Chemistry, College of Chemistry, Jilin University, No. 2 Liutiao Road, Changchun 130023, PR China
| | - Yuqing Wu
- State Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, No. 2699 Qianjin Street, Changchun 130012, PR China; Institute of Theoretical Chemistry, College of Chemistry, Jilin University, No. 2 Liutiao Road, Changchun 130023, PR China.
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10
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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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Investigation of Solid Phase Microextraction Gas Chromatography–Mass Spectrometry, Fourier Transform Infrared Spectroscopy and 1H qNMR Spectroscopy as Potential Methods for the Authentication of Baijiu Spirits. BEVERAGES 2023. [DOI: 10.3390/beverages9010025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/11/2023]
Abstract
The baijiu spirit is often the focus of fraudulent activity due to the widely varying prices of the products. In this work, Solid Phase Microextraction Gas Chromatography (SPME GCMS), Fourier Transform Infrared (FTIR) Spectroscopy and 1H qNMR spectroscopy were evaluated as potential methods to authenticate baijiu samples. Data were collected for 30 baijiu samples produced by seven different distilleries. The data from the SPME GCMS and FTIR methods were treated by a Principal Component Analysis to identify clusters that would suggest chemical differences in the products from different distilleries. The results suggest that SPME GCMS has the potential to be a fully portable method for baijiu authentication. FTIR did not appear suitable for authentication but can be used to find the %ABV range of the sample. 1H quantitative NMR (1H qNMR) was utilized to quantify the ethanol concentrations and calculate the observable congener chemistry comprising ester, ethanol, methanol, fusel alcohol, and organic acids. Discrepancies in ethanol content were observed in three samples, and a lack of major congeners in two samples indicates the possible presence of a counterfeit product. Detailed and quantitative congener chemistry is obtainable by NMR and provides a possible fingerprint analysis for the authentication and quality control of baijiu style, producer, and the length of the ageing process.
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12
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Synergy of physicochemical reactions occurred during aging for harmonizing and improving flavor. Food Chem X 2022; 17:100554. [PMID: 36845494 PMCID: PMC9944979 DOI: 10.1016/j.fochx.2022.100554] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 12/20/2022] [Accepted: 12/23/2022] [Indexed: 12/25/2022] Open
Abstract
Numerous counterfeit vintage Baijiu are widely distributed in the market driven by economic interest which disturb the market economic rules and damage the reputation of particular Baijiu brand. Found on the situation, the Baijiu system variation during aging period, aging mechanisms and discrimination strategies for vintage Baijiu are systematically illuminated. The aging mechanisms of Baijiu cover volatilization, oxidation, association, esterification, hydrolysis, formation of colloid molecules and catalysis by metal elements or other raw materials dissolved from storage vessels. The discrimination of aged Baijiu has been performed by electrochemical method, colorimetric sensor array or component characterization coupled with multivariate analysis. Nevertheless, the characterization of non-volatile compounds in aged Baijiu is deficient. Further research on the aging principles, more easy-operation and low-cost discrimination strategies for aged Baijiu are imperative. The above information is favorable to better understand the aging process and mechanisms of Baijiu, and promote the development of artificial aging techniques.
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13
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Wu M, Fan Y, Chen H, Jia J, Wang S, Shen C, Zhou C, Fu H, She Y. A novel dual-channel fluorescence sensor array based on the reaction of o-phenylenediamine/3,4-diaminotoluene and pyrocatechol for Baijiu discrimination. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2022; 278:121273. [PMID: 35537257 DOI: 10.1016/j.saa.2022.121273] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Revised: 04/03/2022] [Accepted: 04/11/2022] [Indexed: 06/14/2023]
Abstract
An effective method to discriminate Baijiu carries important applications for grade identification and quality control in the Baijiu industry. Herein, we report on a novel and straightforward dual-channel fluorescence sensor array for flavor compounds (FCs) and Chinese Baijiu discrimination. Unit 1 (U1) is the reaction between o-phenylenediamine (OPD) and pyrocatechol (ODHB), and unit 2 (U2) is the reaction between 3,4-diaminotoluene (3,4-DAT) and ODHB. The fluorescent products were changed via FCs in Baijiu relying on the influence of protonation of the amino group on OPD/3,4-DAT and chemical reactions. The array successfully achieves qualitative and quantitative identification of FCs with low detection limits and wide linear ranges. In addition, qualitative identification of 0.7 mmol/L FCs in Baijiu is achieved. Finally, this is applied to discriminate 32 Baijius varieties with different aromas, brands, and grades. The fluorescence sensor array is reliable and straightforward for FCs identification and Baijius discrimination, which is of great significance for authenticity identification in the Baijiu industry.
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Affiliation(s)
- Meixia Wu
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310032, PR China
| | - Yao Fan
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310032, PR China
| | - Hengye Chen
- The Modernization Engineering Technology Research Center of Ethnic Minority Medicine of Hubei Province, College of Pharmacy, South-Central Minzu University, Wuhan 430074, PR China
| | - Junjie Jia
- National Engineering Research Center of Solid-State Brewing, Luzhou Laojiao Co. Ltd, Luzhou 646000, PR China
| | - Songtao Wang
- National Engineering Research Center of Solid-State Brewing, Luzhou Laojiao Co. Ltd, Luzhou 646000, PR China
| | - Caihong Shen
- National Engineering Research Center of Solid-State Brewing, Luzhou Laojiao Co. Ltd, Luzhou 646000, PR China
| | - Chunsong Zhou
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310032, PR China
| | - Haiyan Fu
- The Modernization Engineering Technology Research Center of Ethnic Minority Medicine of Hubei Province, College of Pharmacy, South-Central Minzu University, Wuhan 430074, PR China.
| | - Yuanbin She
- College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310032, PR China.
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