1
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Liu C, Lea Girard A, William Hartel R, Warren Bolling B. Improved analysis of grape seed extract by liquid chromatography-high resolution mass spectrometry (LC-HRMS) reveals that proanthocyanidin-protein interaction mechanisms in cream depend on degree of polymerization. Food Chem 2024; 451:139432. [PMID: 38678655 DOI: 10.1016/j.foodchem.2024.139432] [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: 02/26/2024] [Revised: 04/18/2024] [Accepted: 04/19/2024] [Indexed: 05/01/2024]
Abstract
This study aimed to comprehensively characterize chemical profiles of proanthocyanidins (PACs) from grape seed extract (GSE), examine their interactions with proteins in a cream system, and define the mechanisms mediating PAC-protein interactions. GSE PACs were fractionated and characterized by thiolysis followed by liquid chromatography-high resolution mass spectrometry (LC-HRMS) analysis. New PACs with a degree of polymerization (DP) up to 16 were identified by improved HRMS data processing methods. In the model cream system, high-DP PACs exhibited greater precipitation capacity and protein binding than low-DP PACs. Low-DP PACs primarily engaged in hydrogen bonding, while high-DP PACs predominantly utilized multiple hydrophobic interaction sites to form cream protein aggregates. Furthermore, particle size and viscosity measurement of cream revealed a progressively DP-dependent increase in aggregated fat globules and cream viscosity. These findings enhanced our understanding of PACs' structural intricacies and highlighted their functional role as PAC-rich natural ingredients in creating structured cream systems.
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Affiliation(s)
- Chang Liu
- Department of Food Science, University of Wisconsin, Madison, 1605 Linden Dr., Madison, WI 53706, USA
| | - Audrey Lea Girard
- Department of Food Science, University of Wisconsin, Madison, 1605 Linden Dr., Madison, WI 53706, USA
| | - Richard William Hartel
- Department of Food Science, University of Wisconsin, Madison, 1605 Linden Dr., Madison, WI 53706, USA
| | - Bradley Warren Bolling
- Department of Food Science, University of Wisconsin, Madison, 1605 Linden Dr., Madison, WI 53706, USA.
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2
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Rúbies A, Beguiristain I, Tibon J, Cortés-Francisco N, Granados M. Analysing polypeptide antibiotics residues in animal muscle tissues: The crucial role of HRMS. Food Chem 2024; 443:138481. [PMID: 38310677 DOI: 10.1016/j.foodchem.2024.138481] [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: 11/10/2022] [Revised: 10/16/2023] [Accepted: 01/15/2024] [Indexed: 02/06/2024]
Abstract
A confirmatory method for the determination of polypeptide antibiotics (bacitracin, colistin, and polymyxin B) in muscle samples has been developed. Extraction is performed with acidified methanol, and a clean-up step by solid-phase extraction with polymeric cartridges is applied. Separation by ultra-high performance liquid chromatography (UHPLC) is carried out using a solid core C18 column and gradient elution with water/acetonitrile containing 0.2% formic acid. High-resolution mass spectrometry (HRMS) (Q-Orbitrap) detection using different working modes has proved to be highly advantageous in eliminating interfering signals from endogenous matrix components. The analytical method has been successfully validated according to Commission Regulation 2021/808/EU and is currently used in a public health laboratory involved in veterinary medicines residue surveillance activities.
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Affiliation(s)
- Antoni Rúbies
- Laboratori de l'Agència de Salut Pública de Barcelona, Avinguda Drassanes 13, 08001 Barcelona, Spain
| | - Iñaki Beguiristain
- Departament d'Enginyeria Química i Química Analítica, Universitat de Barcelona, Martí Franquès 1-11, 08018 Barcelona, Spain
| | - Jojo Tibon
- Departament d'Enginyeria Química i Química Analítica, Universitat de Barcelona, Martí Franquès 1-11, 08018 Barcelona, Spain
| | - Nuria Cortés-Francisco
- Laboratori de l'Agència de Salut Pública de Barcelona, Avinguda Drassanes 13, 08001 Barcelona, Spain; Institut de Recerca Sant Pau (IR SANT PAU), Sant Quintí 77-79, 08041 Barcelona, Spain; Centro de Investigación Biomédica en Red de Epidemiologia y Salud Pública (CIBERESP), Monforte de Lemos, 3-5, 28029 Madrid, Spain
| | - Mercè Granados
- Departament d'Enginyeria Química i Química Analítica, Universitat de Barcelona, Martí Franquès 1-11, 08018 Barcelona, Spain.
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3
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Fan H, Li R, Chen Y, Zhang H, Zeng S, Ji W, Hu W, Yin S, Li Y, Liu GL, Huang L. Flexible nanoplasmonic sensor for multiplexed and rapid quantitative food safety analysis with a thousand-times sensitivity improvement. Biosens Bioelectron 2024; 248:115974. [PMID: 38171221 DOI: 10.1016/j.bios.2023.115974] [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: 10/18/2023] [Revised: 12/14/2023] [Accepted: 12/24/2023] [Indexed: 01/05/2024]
Abstract
The accumulation of trace amounts of certain small molecules in food poses considerable human health challenges, including the potential for carcinogenesis and mutagenesis. Here, an ultrasensitive gold-platinum nanoflower-coupled metasurface plasmon resonance (MetaSPR) (APNMSPR) biosensor, based on a competitive immunoassay, was developed for the multiplexed and rapid quantitative analysis of trace small molecules in eggs, offering timely monitoring of food safety. This one-step biosensor can be integrated into either a newly designed detachable high-throughput MetaSPR chip-strip plate device or a standard 96-well plate for multiplexed small-molecule detection within a single egg. The limits of detection were 0.81, 1.12, and 1.74 ppt for florfenicol, fipronil, and enrofloxacin, respectively, demonstrating up to 1000-fold increased sensitivity and a 15-fold reduction in analysis time compared with those of traditional methods. The results obtained using the APNMSPR biosensor showed a strong correlation with those obtained using liquid chromatography-tandem mass spectrometry. The APNMSPR biosensor holds immense promise for the multiplexed, highly sensitive, and rapid quantitative analysis of small molecules for applications in food safety control, early diagnosis, and environmental monitoring.
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Affiliation(s)
- Hongli Fan
- College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
| | - Rui Li
- College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
| | - Youqian Chen
- College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
| | - Huazhi Zhang
- Liangzhun (Wuhan) Industrial Co. Ltd., Wuhan, Hubei, 430073, China
| | - Shaoqi Zeng
- Liangzhun (Wuhan) Industrial Co. Ltd., Wuhan, Hubei, 430073, China
| | - Weihao Ji
- Hubei Provincial Institute for Food Supervision and Test, Wuhan, Hubei, 430075, China; Key Laboratory of Detection Technology of Focus Chemical Hazards in Animal-derived Food for State Market Regulation, Wuhan, Hubei, 430075, China
| | - Wenjun Hu
- College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
| | - Shaoping Yin
- School of Pharmacy, Jiangsu Provincial Engineering Research Center of Traditional Chinese Medicine External Medication Development and Application, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, 210023, China; State Key Laboratory of Natural Medicines, Department of Pharmaceutics, China Pharmaceutical University, Nanjing, Jiangsu, 210009, China
| | - Yanan Li
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, Jiangsu, 210023, China.
| | - Gang L Liu
- College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China.
| | - Liping Huang
- College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China; Liangzhun (Wuhan) Industrial Co. Ltd., Wuhan, Hubei, 430073, China.
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4
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Wang S, Su Q, Zhu Y, Liu J, Zhang X, Zhang Y, Zhu B. Sensory-Guided Establishment of Sensory Lexicon and Investigation of Key Flavor Components for Goji Berry Pulp. PLANTS (BASEL, SWITZERLAND) 2024; 13:173. [PMID: 38256727 PMCID: PMC10820852 DOI: 10.3390/plants13020173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 01/04/2024] [Accepted: 01/05/2024] [Indexed: 01/24/2024]
Abstract
Many customers prefer goji berry pulp, well-known for its high nutritional content, over fresh goji berries. However, there is limited research on its sensory lexicon and distinctive flavor compounds. This study focused on developing a sensory lexicon for goji berry pulp and characterizing its aroma by sensory and instrumental analysis. Sensory characteristics of goji berry pulp were evaluated by our established lexicon. A total of 83 aromatic compounds in goji berry pulp were quantified using HS-SPME-GC-Orbitrap-MS. By employing OAV in combination, we identified 17 aroma-active compounds as the key ingredients in goji berry pulp. Then, we identified the potentially significant contributors to the aroma of goji berry pulp by combining principal component analysis and partial least squares regression (PLSR) models of aroma compounds and sensory attributes, which included 3-ethylphenol, methyl caprylate, 2-hydroxy-4-methyl ethyl valerate, benzeneacetic acid, ethyl ester, hexanal, (E,Z)-2,6-nonadienal, acetylpyrazine, butyric acid, 2-ethylhexanoic acid, 2-methyl-1-propanol, 1-pentanol, phenylethyl alcohol, and 2-nonanone. This study provides a theoretical basis for improving the quality control and processing technology of goji berry pulp.
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Affiliation(s)
- Shuying Wang
- State Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China;
- Beijing Key Laboratory of Forestry Food Processing and Safety, Department of Food Science, College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing 100083, China; (Q.S.); (Y.Z.); (J.L.)
| | - Qingyu Su
- Beijing Key Laboratory of Forestry Food Processing and Safety, Department of Food Science, College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing 100083, China; (Q.S.); (Y.Z.); (J.L.)
| | - Yuxuan Zhu
- Beijing Key Laboratory of Forestry Food Processing and Safety, Department of Food Science, College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing 100083, China; (Q.S.); (Y.Z.); (J.L.)
| | - Jiani Liu
- Beijing Key Laboratory of Forestry Food Processing and Safety, Department of Food Science, College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing 100083, China; (Q.S.); (Y.Z.); (J.L.)
| | - Xinke Zhang
- Food Science and Engineering College, Beijing University of Agriculture, Beijing 102206, China;
- “The Belt and Road” International Institute of Grape and Wine Industry Innovation, Beijing University of Agriculture, Beijing 102206, China
| | - Yu Zhang
- State Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China;
- Beijing Key Laboratory of Forestry Food Processing and Safety, Department of Food Science, College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing 100083, China; (Q.S.); (Y.Z.); (J.L.)
| | - Baoqing Zhu
- State Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China;
- Beijing Key Laboratory of Forestry Food Processing and Safety, Department of Food Science, College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing 100083, China; (Q.S.); (Y.Z.); (J.L.)
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5
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Kaufmann A, Arrizabalaga-Larrañaga A, Blokland M, Sterk S. Potential and limitation of retrospective HRMS based data analysis: “Have meat-producing animals been exposed to illegal growth promotors such as SARMs?”. Food Control 2023. [DOI: 10.1016/j.foodcont.2023.109611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
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6
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Jongedijk E, Fifeik M, Arrizabalaga-Larrañaga A, Polzer J, Blokland M, Sterk S. Use of high-resolution mass spectrometry for veterinary drug multi-residue analysis. Food Control 2022. [DOI: 10.1016/j.foodcont.2022.109488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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7
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Pan XD, Han JL. Determination of steroid hormone residues in farmed fish using high-resolution orbital ion trap mass spectrometry. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2022; 14:4146-4152. [PMID: 36222091 DOI: 10.1039/d2ay01250b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
A method for the determination of 15 steroid hormones in farmed fish by liquid chromatography-orbital ion trap mass spectrometry has been developed and validated. The method involved sample preparation with acetonitrile extraction and clean-up, and separation in the LC using a C18 column. The orbital ion trap MS was operated at a resolution of 35 000 FWHM in selected ion monitoring mode. An ion source with heated electrospray ionization was used in positive ionization mode. The samples were prepared by solid-phase extraction. The limit of quantification of steroid hormones in fish samples was 2 μg kg-1. Good linearity was observed since correlation coefficients were more than 0.99 for all compounds. Recoveries of spiked fish samples (2 μg kg-1 and 20 μg kg-1) ranged from 80.8% to 112.6% with relative deviations less than 15%. The method was successfully applied to detect steroid hormones in real farmed fish samples at the μg kg-1 level.
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Affiliation(s)
- Xiao-Dong Pan
- Zhejiang Provincial Center for Disease Control and Prevention, Institute of Physical-chemistry and Toxicity, Road No. 3399, Binjiang District, Hangzhou City, 310051, China.
| | - Jian-Long Han
- Zhejiang Provincial Center for Disease Control and Prevention, Institute of Physical-chemistry and Toxicity, Road No. 3399, Binjiang District, Hangzhou City, 310051, China.
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8
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Wu Y, Liang M, Xian Y, Wang B, Chen R, Wang L, Hu J, Hou X, Dong H. Fragmentation pathway of hypophosphite (H 2PO 2-) in mass spectrometry and its determination in flour and flour products by LC-MS/MS. Food Chem 2022; 377:132060. [PMID: 35026474 DOI: 10.1016/j.foodchem.2022.132060] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 12/08/2021] [Accepted: 01/03/2022] [Indexed: 11/26/2022]
Abstract
The fragmentation pathway of H2PO2- in MS was obtained by Orbitrap HRMS and the reverse confirmation was carried out by the neutral loss detection experiment. The results showed that H2PO2- with even electron ion would produce the neutral loss of 2H and form a new even electron ion with a pair of lone-pair electrons. Based on this, a LC-MS/MS method was developed for the determination of H2PO2- in flour and flour products. The H2PO2- was separated on an Acclaim Trinity P1 composite ion exchange column, and then detected by MS/MS under MRM mode. Finally, the developed method was validated in terms of the linearity, selectivity, accuracy, precision and matrix effect. The method showed a good linearity (R2>0.999) in the concentration range of 50 ∼ 1500 μg/L. The LOD and LOQ for H2PO2- were 10.0 mg/kg and 30.0 mg/kg, respectively. The average recoveries and RSDs (n = 6) were 93.0%∼102.9% and 2.6 ∼ 5.6%, respectively.
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Affiliation(s)
- Yuluan Wu
- Guangzhou Quality Supervision and Testing Institute, Research Center of Risk Dynamic Detection and Early Warning for Food Safety of Guangzhou City, Key Laboratory of Detection Technology for Food Safety of Guangzhou City, Guangzhou 511447, China
| | - Ming Liang
- Guangzhou Quality Supervision and Testing Institute, Research Center of Risk Dynamic Detection and Early Warning for Food Safety of Guangzhou City, Key Laboratory of Detection Technology for Food Safety of Guangzhou City, Guangzhou 511447, China
| | - Yanping Xian
- Guangzhou Quality Supervision and Testing Institute, Research Center of Risk Dynamic Detection and Early Warning for Food Safety of Guangzhou City, Key Laboratory of Detection Technology for Food Safety of Guangzhou City, Guangzhou 511447, China.
| | - Bin Wang
- Guangzhou Hexin Instrument Co. Ltd, Guangzhou 510700, China
| | - Rongqiao Chen
- Guangzhou Quality Supervision and Testing Institute, Research Center of Risk Dynamic Detection and Early Warning for Food Safety of Guangzhou City, Key Laboratory of Detection Technology for Food Safety of Guangzhou City, Guangzhou 511447, China
| | - Li Wang
- Guangzhou Quality Supervision and Testing Institute, Research Center of Risk Dynamic Detection and Early Warning for Food Safety of Guangzhou City, Key Laboratory of Detection Technology for Food Safety of Guangzhou City, Guangzhou 511447, China
| | - Junpeng Hu
- Guangzhou Quality Supervision and Testing Institute, Research Center of Risk Dynamic Detection and Early Warning for Food Safety of Guangzhou City, Key Laboratory of Detection Technology for Food Safety of Guangzhou City, Guangzhou 511447, China
| | - Xiangchang Hou
- Guangzhou Quality Supervision and Testing Institute, Research Center of Risk Dynamic Detection and Early Warning for Food Safety of Guangzhou City, Key Laboratory of Detection Technology for Food Safety of Guangzhou City, Guangzhou 511447, China
| | - Hao Dong
- College of Light Industry and Food Sciences, Guangdong Provincial Key Laboratory of Lingnan Specialty Food Science and Technology, Key Laboratory of Green Processing and Intelligent Manufacturing of Lingnan Specialty Food, Ministry of Agriculture, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China
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9
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Zhong P, Wei X, Li X, Wei X, Wu S, Huang W, Koidis A, Xu Z, Lei H. Untargeted metabolomics by liquid chromatography‐mass spectrometry for food authentication: A review. Compr Rev Food Sci Food Saf 2022; 21:2455-2488. [DOI: 10.1111/1541-4337.12938] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2021] [Revised: 02/20/2022] [Accepted: 02/21/2022] [Indexed: 12/17/2022]
Affiliation(s)
- Peng Zhong
- Guangdong Provincial Key Laboratory of Food Quality and Safety / National–Local Joint Engineering Research Center for Precision Machining and Safety of Livestock and Poultry Products, College of Food Science South China Agricultural University Guangzhou 510642 China
| | - Xiaoqun Wei
- Guangdong Provincial Key Laboratory of Food Quality and Safety / National–Local Joint Engineering Research Center for Precision Machining and Safety of Livestock and Poultry Products, College of Food Science South China Agricultural University Guangzhou 510642 China
| | - Xiangmei Li
- Guangdong Provincial Key Laboratory of Food Quality and Safety / National–Local Joint Engineering Research Center for Precision Machining and Safety of Livestock and Poultry Products, College of Food Science South China Agricultural University Guangzhou 510642 China
| | - Xiaoyi Wei
- Guangdong Provincial Key Laboratory of Food Quality and Safety / National–Local Joint Engineering Research Center for Precision Machining and Safety of Livestock and Poultry Products, College of Food Science South China Agricultural University Guangzhou 510642 China
| | - Shaozong Wu
- Guangdong Provincial Key Laboratory of Food Quality and Safety / National–Local Joint Engineering Research Center for Precision Machining and Safety of Livestock and Poultry Products, College of Food Science South China Agricultural University Guangzhou 510642 China
| | - Weijuan Huang
- Guangdong Provincial Key Laboratory of Food Quality and Safety / National–Local Joint Engineering Research Center for Precision Machining and Safety of Livestock and Poultry Products, College of Food Science South China Agricultural University Guangzhou 510642 China
| | - Anastasios Koidis
- Institute for Global Food Security Queen's University Belfast Belfast UK
| | - Zhenlin Xu
- Guangdong Provincial Key Laboratory of Food Quality and Safety / National–Local Joint Engineering Research Center for Precision Machining and Safety of Livestock and Poultry Products, College of Food Science South China Agricultural University Guangzhou 510642 China
| | - Hongtao Lei
- Guangdong Provincial Key Laboratory of Food Quality and Safety / National–Local Joint Engineering Research Center for Precision Machining and Safety of Livestock and Poultry Products, College of Food Science South China Agricultural University Guangzhou 510642 China
- Guangdong Laboratory for Lingnan Modern Agriculture South China Agricultural University Guangzhou 510642 China
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10
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Tan H, Sun F, Abdallah MF, Li J, Zhou J, Li Y, Yang S. Background ions into exclusion list: A new strategy to enhance the efficiency of DDA data collection for high-throughput screening of chemical contaminations in food. Food Chem 2022; 385:132669. [PMID: 35299021 DOI: 10.1016/j.foodchem.2022.132669] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 02/21/2022] [Accepted: 03/07/2022] [Indexed: 01/25/2023]
Abstract
Foods contaminated with hazardous compounds, could pose potential risks for human health. To date, there is still a big challenge in accurate identification. In this study, a novel data-dependent acquisition (DDA) approach, based on a combination of inclusion list and exclusion list, was proposed to acquire more effective MS/MS spectra. This strategy was successfully applied in a large-scale screening survey to detect 50 mycotoxins in oats, 155 veterinary drugs in dairy milk, and 200 pesticides in tomatoes. Compared with traditional acquisition modes, this new strategy has higher detection rate, particularly at ultra-low concentration by eliminating background influence, thereby generating the MS/MS spectra for more potential hazardous materials instead of matrix interference. Additionally, the obtained MS/MS spectra are simpler and more likely to be traced back than DIA. Moreover, this new strategy would be more comprehensively applied in food safety monitoring with the improvement of HRMS and post-acquisition techniques.
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Affiliation(s)
- Haiguang Tan
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China
| | - Feifei Sun
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China; College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, People's Republic of China
| | - Mohamed F Abdallah
- Department of Food Technology, Safety and Health, Ghent University, Coupure Links 653, 9000 Ghent, Belgium
| | - Jianxun Li
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China
| | - Jinhui Zhou
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China
| | - Yi Li
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China.
| | - Shupeng Yang
- Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People's Republic of China.
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11
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Advances in Analysis of Contaminants in Foodstuffs on the Basis of Orbitrap Mass Spectrometry: a Review. FOOD ANAL METHOD 2021. [DOI: 10.1007/s12161-021-02168-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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12
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Gavage M, Delahaut P, Gillard N. Suitability of High-Resolution Mass Spectrometry for Routine Analysis of Small Molecules in Food, Feed and Water for Safety and Authenticity Purposes: A Review. Foods 2021; 10:601. [PMID: 33809149 PMCID: PMC7998992 DOI: 10.3390/foods10030601] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 03/08/2021] [Accepted: 03/10/2021] [Indexed: 12/05/2022] Open
Abstract
During the last decade, food, feed and environmental analysis using high-resolution mass spectrometry became increasingly popular. Recent accessibility and technological improvements of this system make it a potential tool for routine laboratory work. However, this kind of instrument is still often considered a research tool. The wide range of potential contaminants and residues that must be monitored, including pesticides, veterinary drugs and natural toxins, is steadily increasing. Thanks to full-scan analysis and the theoretically unlimited number of compounds that can be screened in a single analysis, high-resolution mass spectrometry is particularly well-suited for food, feed and water analysis. This review aims, through a series of relevant selected studies and developed methods dedicated to the different classes of contaminants and residues, to demonstrate that high-resolution mass spectrometry can reach detection levels in compliance with current legislation and is a versatile and appropriate tool for routine testing.
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Affiliation(s)
| | - Philippe Delahaut
- CER Groupe, Rue du Point du Jour 8, 6900 Marloie, Belgium; (M.G.); (N.G.)
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13
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Yan XT, Zhang Y, Yang ML, Feng XS, Zhang F. An accurate, rapid, and sensitive method for simultaneous determination of four typical heterocyclic amines in roasted pork patties: Application in the study of inhibitory effects of astaxanthin. J Sep Sci 2021; 44:1833-1842. [PMID: 33586849 DOI: 10.1002/jssc.202001229] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 02/08/2021] [Accepted: 02/11/2021] [Indexed: 12/27/2022]
Abstract
Heterocyclic aromatic amines, as a group of mutagenic and carcinogenic compounds, have gained worldwide concern. In this study, an accurate, rapid, and sensitive confirmation and quantification method of four major heterocyclic aromatic amines in roasted pork was developed based on Q-Orbitrap along with Quick, Easy, Cheap, Effective, Rugged, and Safe extraction. The limit of detections and limit of quantitations were found to be 0.2-1.2 μg/kg and 0.6-3.5 μg/kg, respectively, revealing the high sensitivity of this method. Obtained results showed recoveries ranging from 78.1 to 97.4%, depending on the different heterocyclic aromatic amines and spiked levels. Precision was in the range of 2.6-4.5% for four heterocyclic aromatic amines at different levels. In addition, the developed method had been applied to investigate the inhibitory effects of astaxanthin on the above-mentioned heterocyclic aromatic amines in roasted pork. The amount of astaxanthin with the best inhibitory effects was 7.5 mg (0.0375%), which led to significant reduction in heterocyclic aromatic amines levels over 50%.
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Affiliation(s)
- Xiao-Ting Yan
- Institute of Food Safety, Chinese Academy of Inspection & Quarantine, Beijing, P.R. China.,School of Pharmacy, China Medical University, Shenyang, P.R. China
| | - Yuan Zhang
- School of Pharmacy, China Medical University, Shenyang, P.R. China
| | - Min-Li Yang
- Institute of Food Safety, Chinese Academy of Inspection & Quarantine, Beijing, P.R. China
| | - Xue-Song Feng
- School of Pharmacy, China Medical University, Shenyang, P.R. China
| | - Feng Zhang
- Institute of Food Safety, Chinese Academy of Inspection & Quarantine, Beijing, P.R. China
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