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Wu T, Gao J, Han B, Deng H, Han X, Xie Y, Li C, Zhan J, Huang W, You Y. Determination of 10 mycotoxins in wine, baijiu, and huangjiu of the Chinese market by liquid chromatography tandem mass spectrometry and exposure estimation. Food Chem X 2024; 22:101301. [PMID: 38559440 PMCID: PMC10979051 DOI: 10.1016/j.fochx.2024.101301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 02/28/2024] [Accepted: 03/16/2024] [Indexed: 04/04/2024] Open
Abstract
In this study, liquid chromatography tandem mass spectrometry (LC-MS/MS) was employed to analyze the prevalence of 10 mycotoxins in 140 samples from the Chinese market, aiming to assess the exposure of Chinese individuals to these mycotoxins through the consumption of wine, baijiu, and huangjiu. Mycotoxins were detected in 98% of the samples, with fumonisins (FBs), deoxynivalenol (DON), and zearalenone (ZEN) exhibiting positive rates exceeding 50%. Regarding the exposure of the Chinese population to mycotoxins resulting from alcoholic beverage consumption, fruit wine intake made a relatively significant contribution to aflatoxin exposure, while baijiu showed a relatively significant contribution to ZEN exposure (1.84%). The analysis of the correlation between grape variety, wine region, and mycotoxin content demonstrated that FBs, ZEN, and DON were significantly influenced by grape variety and wine region. This research holds great significance in protecting human life and health, as well as in the production of safer alcoholic beverages.
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Affiliation(s)
- Tianyang Wu
- College of Food Science and Nutritional Engineering, Beijing Key Laboratory of Viticulture and Enology, China Agricultural University, Tsinghua East Road 17, Haidian District, Beijing 100083, China
| | - Jie Gao
- College of Food Science and Nutritional Engineering, Beijing Key Laboratory of Viticulture and Enology, China Agricultural University, Tsinghua East Road 17, Haidian District, Beijing 100083, China
| | - Bing Han
- College of Food Science and Nutritional Engineering, Beijing Key Laboratory of Viticulture and Enology, China Agricultural University, Tsinghua East Road 17, Haidian District, Beijing 100083, China
| | - Huan Deng
- College of Food Science and Nutritional Engineering, Beijing Key Laboratory of Viticulture and Enology, China Agricultural University, Tsinghua East Road 17, Haidian District, Beijing 100083, China
| | - Xiaoyu Han
- College of Food Science and Nutritional Engineering, Beijing Key Laboratory of Viticulture and Enology, China Agricultural University, Tsinghua East Road 17, Haidian District, Beijing 100083, China
| | - Yiding Xie
- College of Food Science and Nutritional Engineering, Beijing Key Laboratory of Viticulture and Enology, China Agricultural University, Tsinghua East Road 17, Haidian District, Beijing 100083, China
| | - Chenyu Li
- College of Food Science and Nutritional Engineering, Beijing Key Laboratory of Viticulture and Enology, China Agricultural University, Tsinghua East Road 17, Haidian District, Beijing 100083, China
| | - Jicheng Zhan
- College of Food Science and Nutritional Engineering, Beijing Key Laboratory of Viticulture and Enology, China Agricultural University, Tsinghua East Road 17, Haidian District, Beijing 100083, China
| | - Weidong Huang
- College of Food Science and Nutritional Engineering, Beijing Key Laboratory of Viticulture and Enology, China Agricultural University, Tsinghua East Road 17, Haidian District, Beijing 100083, China
| | - Yilin You
- College of Food Science and Nutritional Engineering, Beijing Key Laboratory of Viticulture and Enology, China Agricultural University, Tsinghua East Road 17, Haidian District, Beijing 100083, China
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Wu T, Kang K, Xia Y, Deng H, Han B, Han X, Xie Y, Li C, Zhan J, Huang W, You Y. Development and validation of a liquid chromatography tandem mass spectrometry method for the determination of 10 mycotoxins in beer of the Chinese market and exposure estimate. Food Res Int 2024; 184:114256. [PMID: 38609234 DOI: 10.1016/j.foodres.2024.114256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2023] [Revised: 03/11/2024] [Accepted: 03/19/2024] [Indexed: 04/14/2024]
Abstract
Mycotoxins are important risk factors in beer. In this study, a liquid chromatography tandem mass spectrometry (LC-MS/MS) method was developed to determine 10 mycotoxins in beer within 6 min. The method is fast, efficient, and has a simple and quick sample preparation. Validation was conducted based on the performance standards specified in Commission Decision 657/2002/EC, and the results demonstrated excellent linearity (R2 > 0.99), repeatability (RSD < 5 %), quantification limits (0.005-20.246 µg/L), and recovery rates (77 %-118 %). The prevalence of the 10 mycotoxins in 96 beers purchased from the Chinese market was analyzed, and the exposure of the Chinese population to mycotoxins through beer consumption was assessed. Deoxynivalenol (DON) was detected in 93.75 % of the beers, and the incidence of fumonisins (FBs) and zearalenone (ZEN) exceeded 50 %. Beer intake contributed significantly to the exposure of aflatoxins (AFs) and DON, especially in males. Correlation analysis between mycotoxin content in beer, raw materials, and the brewing process revealed that the brewing process significantly affected the content of DON (P < 0.001), while auxiliary materials also had a significant impact on the content of FBs and DON (P < 0.001). This study holds great significance in producing higher quality and safer beer.
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Affiliation(s)
- Tianyang Wu
- College of Food Science and Nutritional Engineering, Beijing Key Laboratory of Viticulture and Enology, China Agricultural University, Tsinghua East Road 17, Haidian District, Beijing 100083, China.
| | - Kun Kang
- Anheuser-Busch Inbeve (Foshan) Brewery Co., Ltd., No.1 Baiwei Avenue, Sanshui District, Foshan City, Guangdong Province 528100, China.
| | - Ying Xia
- Anheuser-Busch Inbev (Wuhan) Beer Co., Ltd Craft Brewery, Qingduankou, Hanyang District, Wuhan City 430050, China.
| | - Huan Deng
- College of Food Science and Nutritional Engineering, Beijing Key Laboratory of Viticulture and Enology, China Agricultural University, Tsinghua East Road 17, Haidian District, Beijing 100083, China.
| | - Bing Han
- College of Food Science and Nutritional Engineering, Beijing Key Laboratory of Viticulture and Enology, China Agricultural University, Tsinghua East Road 17, Haidian District, Beijing 100083, China.
| | - Xiaoyu Han
- College of Food Science and Nutritional Engineering, Beijing Key Laboratory of Viticulture and Enology, China Agricultural University, Tsinghua East Road 17, Haidian District, Beijing 100083, China.
| | - Yiding Xie
- College of Food Science and Nutritional Engineering, Beijing Key Laboratory of Viticulture and Enology, China Agricultural University, Tsinghua East Road 17, Haidian District, Beijing 100083, China.
| | - Chenyu Li
- College of Food Science and Nutritional Engineering, Beijing Key Laboratory of Viticulture and Enology, China Agricultural University, Tsinghua East Road 17, Haidian District, Beijing 100083, China.
| | - Jicheng Zhan
- College of Food Science and Nutritional Engineering, Beijing Key Laboratory of Viticulture and Enology, China Agricultural University, Tsinghua East Road 17, Haidian District, Beijing 100083, China.
| | - Weidong Huang
- College of Food Science and Nutritional Engineering, Beijing Key Laboratory of Viticulture and Enology, China Agricultural University, Tsinghua East Road 17, Haidian District, Beijing 100083, China.
| | - Yilin You
- College of Food Science and Nutritional Engineering, Beijing Key Laboratory of Viticulture and Enology, China Agricultural University, Tsinghua East Road 17, Haidian District, Beijing 100083, China; Xinghua Industrial Research Centre for Food Science and Human Health, China Agricultural University, Xinghua 225700, Jiangsu, China.
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Diep Trinh TN, Trinh KTL, Lee NY. Microfluidic advances in food safety control. Food Res Int 2024; 176:113799. [PMID: 38163712 DOI: 10.1016/j.foodres.2023.113799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 11/23/2023] [Accepted: 12/02/2023] [Indexed: 01/03/2024]
Abstract
Food contamination is a global concern, particularly in developing countries. Two main types of food contaminants-chemical and biological-are common problems that threaten human health. Therefore, rapid and accurate detection methods are required to address the threat of food contamination. Conventional methods employed to detect these two types of food contaminants have several limitations, including high costs and long analysis time. Alternatively, microfluidic technology, which allows for simple, rapid, and on-site testing, can enable us to control food safety in a timely, cost-effective, simple, and accurate manner. This review summarizes advances in microfluidic approaches to detect contaminants in food. Different detection methods have been applied to microfluidic platforms to identify two main types of contaminants: chemical and biological. For chemical contaminant control, the application of microfluidic approaches for detecting heavy metals, pesticides, antibiotic residues, and other contaminants in food samples is reviewed. Different methods including enzymatic, chemical-based, immunoassay-based, molecular-based, and electrochemical methods for chemical contaminant detection are discussed based on their working principle, the integration in microfluidic platforms, advantages, and limitations. Microfluidic approaches for foodborne pathogen detection, from sample preparation to final detection, are reviewed to identify foodborne pathogens. Common methods for foodborne pathogens screening, namely immunoassay, nucleic acid amplification methods, and other methods are listed and discussed; highlighted examples of recent studies are also reviewed. Challenges and future trends that could be employed in microfluidic design and fabrication process to address the existing limitations for food safety control are also covered. Microfluidic technology is a promising tool for food safety control with high efficiency and applicability. Miniaturization, portability, low cost, and samples and reagents saving make microfluidic devices an ideal choice for on-site detection, especially in low-resource areas. Despite many advantages of microfluidic technology, the wide manufacturing of microfluidic devices still demands intensive studies to be conducted for user-friendly and accurate food safety control. Introduction of recent advances of microfluidic devices will build a comprehensive understanding of the technology and offer comparative analysis for future studies and on-site application.
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Affiliation(s)
- Thi Ngoc Diep Trinh
- Department of Materials Science, School of Applied Chemistry, Tra Vinh University, Viet Nam
| | - Kieu The Loan Trinh
- BioNano Applications Research Center, Gachon University, 1342 Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do 13120, Republic of Korea
| | - Nae Yoon Lee
- Department of BioNano Technology, Gachon University, 1342 Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do 13120, Republic of Korea.
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Atusingwize E, Rohlman D, Hoffman P, Wafula ST, Musoke D, Buregyeya E, Mugambe RK, Ndejjo R, Ssempebwa JC, Anderson KA. Chemical contaminant exposures assessed using silicone wristbands among fuel station attendants, taxi drivers and commercial motorcycle riders in Kampala, Uganda. Arch Environ Occup Health 2023; 78:401-411. [PMID: 37916578 DOI: 10.1080/19338244.2023.2275144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 10/17/2023] [Indexed: 11/03/2023]
Abstract
There are concerns over traffic-related air pollution in Uganda's capital, Kampala. Individuals in the transportation sector are hypothesized to be at greater risk for exposure to volatile organic compounds, given their proximity to vehicle exhaust. Silicone wristbands are a wearable technology that passively sample individuals' chemical exposures. We conducted a pilot cross sectional study to measure personal exposures to volatile organic compounds among 14 transportation workers who wore a wristband for five days. We analyzed for 75 volatile organic compounds; 33 chemicals (35%) were detected and quantified in at least 50% of the samples and 15 (16%) chemicals were detected and quantified across all the samples. Specific chemicals were associated with participants' occupation. The findings can guide future large studies to inform policy and practice to reduce exposure to chemicals in the environment in Kampala.
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Affiliation(s)
- Edwinah Atusingwize
- Department of Disease Control and Environmental Health, Makerere University School of Public Health, Kampala, Uganda
| | - Diana Rohlman
- College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA
| | - Peter Hoffman
- Food Safety and Environmental Stewardship Program, Oregon State University, Corvallis, OR, USA
| | - Solomon Tsebeni Wafula
- Department of Disease Control and Environmental Health, Makerere University School of Public Health, Kampala, Uganda
| | - David Musoke
- Department of Disease Control and Environmental Health, Makerere University School of Public Health, Kampala, Uganda
| | - Esther Buregyeya
- Department of Disease Control and Environmental Health, Makerere University School of Public Health, Kampala, Uganda
| | - Richard K Mugambe
- Department of Disease Control and Environmental Health, Makerere University School of Public Health, Kampala, Uganda
| | - Rawlance Ndejjo
- Department of Disease Control and Environmental Health, Makerere University School of Public Health, Kampala, Uganda
| | - John C Ssempebwa
- Department of Disease Control and Environmental Health, Makerere University School of Public Health, Kampala, Uganda
| | - Kim A Anderson
- Environmental and Molecular Toxicology, Oregon State University, Corvallis, OR, USA
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Yu Y, Wen-Bin L, Wan-Ting C, Ya Y, Shu-Rong D, Lin-Han L, Jie J, Ying-Jian W, Dong-Jian Y, Bin C, Jia-Bian Y, Feng J, Qing-Wu J, Yi-Biao Z. [Relationship between natural extinction of Oncomelania hupensis snails and water chemical properties in Eastern Dongting Lake areas]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2019; 31:126-133. [PMID: 31184041 DOI: 10.16250/j.32.1374.2018040] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To investigate the reasons of natural extinction of Oncomelania hupensis snails by comparing the difference of the water chemical properties between the snail-breeding marshland and non-snail marshland in Eastern Dongting Lake areas. METHODS Three adjoining marshlands in Eastern Dongting Lake areas were selected, one was a snail-breeding marshland, the second was a non-snail marshland, and the third was a boundary zone between them. During the periods of water-rising season, wet season and water-falling season, the water samples from the bottom of 0.5 m were collected by the systematic random sampling method (200 m × 200 m grid method). In addition, the water samples below the surface of 0.5 m were also collected in the wet season. The physicochemical indexes of the sampling water were detected. RESULTS According to the Surface Water Environmental Quality Standard (GB 3838-2002), the water quality indicators which were less than the detection limit were Cr, Cd, Zn, Hg, Cu, S- and CN- during the three sampling seasons. The pollutants which were slightly higher than Grade III but lower than Grade IV (Hg ≤ 1 μg/L, TP ≤ 0.1 mg/L) were Hg and TP. The pollutants below the Grade III included As and F-. The temperature and pH values were within the Grade III. The oxygen consumption indicators covering DO, COD and BOD in the water-rising season and wet season were within the Grade III, while the value of BOD was beyond the scope of Grade III but was between Grade Ⅳ (≤ 6 mg/L) and Grade V (≤ 10 mg/L) in the water-falling season. The differences of the water pollution indexes between the snail-breeding marshland and non-snail marshland were statistically significant, and these indexes included F-, As and pH in the water-rising season (P < 0.05); pH, BOD and Fat the surface layer in the wet season (P < 0.05); F- at the bottom in the wet season (P < 0.05); TP and F- in the water-falling season. Moreover, the above-mentioned indexes in the non-snail marshland of Qianliang Lake were higher than those in the snail-breeding marshland of Junshan Park. Thus, F- was the only index which had statistical differences in every sampling season, and the concentration of F- at the non-snail marshland was also higher than that at the snail-breeding marshland. In the water-rising season, the pH value at the non-snail marshland exceeded the suitable range for the growth of snails (6.8 to 7.8). CONCLUSIONS In the Eastern Dongting Lake area, the high concentration of F- and pH of water may be responsible for the natural extinction of O. hupensis snails.
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Affiliation(s)
- Yang Yu
- Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China
| | - Li Wen-Bin
- Junshan District Center for Disease Control and Prevention, Hunan Province, China
| | - Cheng Wan-Ting
- Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China
| | - Yang Ya
- Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China
| | - Dong Shu-Rong
- Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China
| | - Li Lin-Han
- Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China
| | - Jiang Jie
- Station for Schistosomiasis Prevention of Junshan County, Hunan Province, China
| | - Wang Ying-Jian
- Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China
| | - Yang Dong-Jian
- Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China
| | - Cai Bin
- Station for Schistosomiasis Prevention of Junshan County, Hunan Province, China
| | - You Jia-Bian
- Qianlianghu Station for Schistosomiasis Control, Hunan Province, China
| | - Jiang Feng
- Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China
| | - Jiang Qing-Wu
- Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China
| | - Zhou Yi-Biao
- Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China
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