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Hu L, Zhu Y, Zhong C, Cai Q, Zhang H, Zhang X, Yao Q, Hang Y, Ge Y, Hu Y. Discrimination of three commercial tuna species through species-specific peptides: From high-resolution mass spectrometry discovery to MRM validation. Food Res Int 2024; 187:114462. [PMID: 38763689 DOI: 10.1016/j.foodres.2024.114462] [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: 03/18/2024] [Revised: 04/28/2024] [Accepted: 05/01/2024] [Indexed: 05/21/2024]
Abstract
The risk of tuna adulteration is high driven by economic benefits. The authenticity of tuna is required to protect both consumers and tuna stocks. Given this, the study is designed to identify species-specific peptides for distinguishing three commercial tropical tuna species. The peptides derived from trypsin digestion were separated and detected using ultrahigh-performance liquid chromatography-quadrupole-time of flight mass spectrometry (UPLC-Q-TOF/MS) in data-dependent acquisition (DDA) mode. Venn analysis showed that there were differences in peptide composition among the three tested tuna species. The biological specificity screening through the National Center for Biotechnology Information's Basic Local Alignment Search Tool (NCBI BLAST) revealed that 93 peptides could serve as potential species-specific peptides. Finally, the detection specificity of species-specific peptides of raw meats and processed products was carried out by multiple reaction monitoring (MRM) mode based on a Q-Trap mass spectrometer. The results showed that three, one and two peptides of Katsuwonus pelamis, Thunnus obesus and Thunnus albacores, respectively could serve as species-specific peptides.
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Affiliation(s)
- Lingping Hu
- Yangtze Delta Region Institute of Tsinghua University, Zhejiang 314006, China; College of Food Science and Engineering, Hainan Tropical Ocean University, Yazhou Bay Innovation Institute, Marine Food Engineering Technology Research Center of Hainan Province, Collaborative Innovation Center of Marine Food Deep Processing, Sanya 572022, China.
| | - Yin Zhu
- Yangtze Delta Region Institute of Tsinghua University, Zhejiang 314006, China.
| | - Chao Zhong
- Yangtze Delta Region Institute of Tsinghua University, Zhejiang 314006, China.
| | - Qiang Cai
- Yangtze Delta Region Institute of Tsinghua University, Zhejiang 314006, China.
| | - Hongwei Zhang
- Food and Agricultural Products Testing Agency, Technology Center of Qingdao Customs District, Qingdao, Shandong Province 266002, China.
| | - Xiaomei Zhang
- Food and Agricultural Products Testing Agency, Technology Center of Qingdao Customs District, Qingdao, Shandong Province 266002, China.
| | - Qian Yao
- Key Laboratory of Medicinal and Edible Plants Resources Development of Sichuan Education Department, Sichuan Industrial Institute of Antibiotics, School of Pharmacy, Chengdu University, Chengdu 610106, China.
| | - Yuyu Hang
- College of Food Science and Engineering, Hainan Tropical Ocean University, Yazhou Bay Innovation Institute, Marine Food Engineering Technology Research Center of Hainan Province, Collaborative Innovation Center of Marine Food Deep Processing, Sanya 572022, China.
| | - Yingliang Ge
- College of Food Science and Engineering, Hainan Tropical Ocean University, Yazhou Bay Innovation Institute, Marine Food Engineering Technology Research Center of Hainan Province, Collaborative Innovation Center of Marine Food Deep Processing, Sanya 572022, China.
| | - Yaqin Hu
- College of Food Science and Engineering, Hainan Tropical Ocean University, Yazhou Bay Innovation Institute, Marine Food Engineering Technology Research Center of Hainan Province, Collaborative Innovation Center of Marine Food Deep Processing, Sanya 572022, China.
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2
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Ji Z, Zhang J, Deng C, Guo T, Han R, Yang Y, Zang C, Chen Y. Identification of pasteurized mare milk and powder adulteration with bovine milk using quantitative proteomics and metabolomics approaches. Food Chem X 2024; 22:101265. [PMID: 38468636 PMCID: PMC10926301 DOI: 10.1016/j.fochx.2024.101265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Revised: 02/29/2024] [Accepted: 02/29/2024] [Indexed: 03/13/2024] Open
Abstract
Adulteration in dairy products presents food safety challenges, driven by economic factors. Processing may change specific biomarkers, thus affecting their effectiveness in detection. In this study, proteomics and metabolomics approaches were to investigate the detection of bovine milk (BM) constituents adulteration in pasteurized mare milk (PMM) and mare milk powder (MMP). Several bovine proteins and metabolites were identified, with their abundances in PMM and MMP increasing upon addition of BM. Proteins like osteopontin (OPN) and serotransferrin (TF) detected adulteration down to 1 % in PMM, whereas these proteins in MMP were utilized to identify 10 % adulteration. Biotin and N6-Me-adenosine were effective in detecting adulteration in PMM as low as 10 % and 1 % respectively, while in MMP, their detection limits extend down to 0.1 %. These findings offer insights for authenticating mare milk products and underscore the influence of processing methods on biomarker levels, stressing the need to consider these effects in milk product authentication.
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Affiliation(s)
- Zhongyuan Ji
- College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, Xinjiang, China
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China
- Key Laboratory of Quality & Safety Control for Milk and Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Junyu Zhang
- Institute of Feed Research, Xinjiang Academy of Animal Science, Urumqi 830052, Xinjiang, China
| | - Chunxia Deng
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China
| | - Tongjun Guo
- Institute of Feed Research, Xinjiang Academy of Animal Science, Urumqi 830052, Xinjiang, China
| | - Rongwei Han
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China
| | - Yongxin Yang
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China
| | - Changjiang Zang
- College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, Xinjiang, China
| | - Yong Chen
- College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, Xinjiang, China
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3
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Zhang J, Wei L, Miao J, Yu Y, Yu N, Hu Q, Chen H, Chen Y. Authenticity identification of animal species in characteristic milk by integration of shotgun proteomics and scheduled multiple reaction monitoring (MRM) based on tandem mass spectrometry. Food Chem 2024; 436:137736. [PMID: 37863000 DOI: 10.1016/j.foodchem.2023.137736] [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: 07/17/2023] [Revised: 09/19/2023] [Accepted: 10/09/2023] [Indexed: 10/22/2023]
Abstract
Milk is one of the oldest natural dairies with high value, which has different species including cow, camel, donkey, goat, sheep, buffalo, yak and et al. However, economically motivated adulteration of non-cow milk with cheaper cow milk occurs frequently. To develop a high-throughput approach for milk species authentication, integration of shotgun proteomics and scheduled multiple reaction monitoring (MRM) was developed. In total, 37 specific peptides were screened as unique to different species. Specific peptides processing stability was investigated under different treatment (heat, pressure, fermentation). Subsequently, four quantitative ion pairs of peptides from cow milk and six quantitative ion pairs of peptides from six non-cow milks were selected for the adulteration quantitative analysis. The method is capable of detection adulteration in the range of 1%-100%, and the quantitative recoveries ranged from 91.07% to 111.75%. The results suggested that combination of shotgun proteomics and MRM had potential for the milk species authentication.
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Affiliation(s)
- Jiukai Zhang
- Chinese Academy of Inspection and Quarantine, Beijing 100176, PR China
| | - Liyang Wei
- Chinese Academy of Inspection and Quarantine, Beijing 100176, PR China
| | - Jinliang Miao
- Chinese Academy of Inspection and Quarantine, Beijing 100176, PR China
| | - Yue Yu
- Chinese Academy of Inspection and Quarantine, Beijing 100176, PR China; School of Food Science and Engineering, Jilin Agricultural University, Changchun 130118, PR China
| | - Ning Yu
- Chinese Academy of Inspection and Quarantine, Beijing 100176, PR China
| | - Qian Hu
- Chinese Academy of Inspection and Quarantine, Beijing 100176, PR China
| | - He Chen
- Institute of Quality Standard & Testing Technology for Agro-products, Xinjiang Academy of Agricultural Sciences, 830091, PR China
| | - Ying Chen
- Chinese Academy of Inspection and Quarantine, Beijing 100176, PR China.
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4
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Stastna M. Advances in separation and identification of biologically important milk proteins and peptides. Electrophoresis 2024; 45:101-119. [PMID: 37289082 DOI: 10.1002/elps.202300084] [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: 04/26/2023] [Revised: 05/30/2023] [Accepted: 05/30/2023] [Indexed: 06/09/2023]
Abstract
Milk is a rich source of biologically important proteins and peptides. In addition, milk contains a variety of extracellular vesicles (EVs), including exosomes, that carry their own proteome cargo. EVs are essential for cell-cell communication and modulation of biological processes. They act as nature carriers of bioactive proteins/peptides in targeted delivery during various physiological and pathological conditions. Identification of the proteins and protein-derived peptides in milk and EVs and recognition of their biological activities and functions had a tremendous impact on food industry, medicine research, and clinical applications. Advanced separation methods, mass spectrometry (MS)-based proteomic approaches and innovative biostatistical procedures allowed for characterization of milk protein isoforms, genetic/splice variants, posttranslational modifications and their key roles, and contributed to novel discoveries. This review article discusses recently published developments in separation and identification of bioactive proteins/peptides from milk and milk EVs, including MS-based proteomic approaches.
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Affiliation(s)
- Miroslava Stastna
- Institute of Analytical Chemistry of the Czech Academy of Sciences, Brno, Czech Republic
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5
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Bianco M, Ventura G, Calvano CD, Losito I, Cataldi TRI. Food allergen detection by mass spectrometry: From common to novel protein ingredients. Proteomics 2023; 23:e2200427. [PMID: 37691088 DOI: 10.1002/pmic.202200427] [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: 05/30/2023] [Revised: 08/04/2023] [Accepted: 08/10/2023] [Indexed: 09/12/2023]
Abstract
Food allergens are molecules, mainly proteins, that trigger immune responses in susceptible individuals upon consumption even when they would otherwise be harmless. Symptoms of a food allergy can range from mild to acute; this last effect is a severe and potentially life-threatening reaction. The European Union (EU) has identified 14 common food allergens, but new allergens are likely to emerge with constantly changing food habits. Mass spectrometry (MS) is a promising alternative to traditional antibody-based assays for quantifying multiple allergenic proteins in complex matrices with high sensitivity and selectivity. Here, the main allergenic proteins and the advantages and drawbacks of some MS acquisition protocols, such as multiple reaction monitoring (MRM) and data-dependent analysis (DDA) for identifying and quantifying common allergenic proteins in processed foodstuffs are summarized. Sections dedicated to novel foods like microalgae and insects as new sources of allergenic proteins are included, emphasizing the significance of establishing stable marker peptides and validated methods using database searches. The discussion involves the in-silico digestion of allergenic proteins, providing insights into their potential impact on immunogenicity. Finally, case studies focussing on microalgae highlight the value of MS as an effective analytical tool for ensuring regulatory compliance throughout the food control chain.
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Affiliation(s)
- Mariachiara Bianco
- Dipartimento di Chimica, Università degli Studi di Bari Aldo Moro, Bari, Italy
| | - Giovanni Ventura
- Dipartimento di Chimica, Università degli Studi di Bari Aldo Moro, Bari, Italy
- Centro interdipartimentale SMART, Università degli Studi di Bari Aldo Moro, Bari, Italy
| | - Cosima D Calvano
- Dipartimento di Chimica, Università degli Studi di Bari Aldo Moro, Bari, Italy
- Centro interdipartimentale SMART, Università degli Studi di Bari Aldo Moro, Bari, Italy
| | - Ilario Losito
- Dipartimento di Chimica, Università degli Studi di Bari Aldo Moro, Bari, Italy
- Centro interdipartimentale SMART, Università degli Studi di Bari Aldo Moro, Bari, Italy
| | - Tommaso R I Cataldi
- Dipartimento di Chimica, Università degli Studi di Bari Aldo Moro, Bari, Italy
- Centro interdipartimentale SMART, Università degli Studi di Bari Aldo Moro, Bari, Italy
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6
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Chien HJ, Zheng YF, Wang WC, Kuo CY, Hsu YM, Lai CC. Determination of adulteration, geographical origins, and species of food by mass spectrometry. MASS SPECTROMETRY REVIEWS 2023; 42:2273-2323. [PMID: 35652168 DOI: 10.1002/mas.21780] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 04/07/2022] [Accepted: 04/12/2022] [Indexed: 06/15/2023]
Abstract
Food adulteration, mislabeling, and fraud, are rising global issues. Therefore, a number of precise and reliable analytical instruments and approaches have been proposed to ensure the authenticity and accurate labeling of food and food products by confirming that the constituents of foodstuffs are of the kind and quality claimed by the seller and manufacturer. Traditional techniques (e.g., genomics-based methods) are still in use; however, emerging approaches like mass spectrometry (MS)-based technologies are being actively developed to supplement or supersede current methods for authentication of a variety of food commodities and products. This review provides a critical assessment of recent advances in food authentication, including MS-based metabolomics, proteomics and other approaches.
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Affiliation(s)
- Han-Ju Chien
- Institute of Molecular Biology, National Chung Hsing University, Taichung, Taiwan
| | - Yi-Feng Zheng
- Institute of Molecular Biology, National Chung Hsing University, Taichung, Taiwan
| | - Wei-Chen Wang
- Institute of Molecular Biology, National Chung Hsing University, Taichung, Taiwan
| | - Cheng-Yu Kuo
- Institute of Molecular Biology, National Chung Hsing University, Taichung, Taiwan
| | - Yu-Ming Hsu
- Institute of Molecular Biology, National Chung Hsing University, Taichung, Taiwan
| | - Chien-Chen Lai
- Institute of Molecular Biology, National Chung Hsing University, Taichung, Taiwan
- Graduate Institute of Chinese Medical Science, China Medical University, Taichung, Taiwan
- Advanced Plant Biotechnology Center, National Chung Hsing University, Taichung, Taiwan
- Ph.D. Program in Translational Medicine, National Chung Hsing University, Taichung, Taiwan
- Rong Hsing Research Center For Translational Medicine, National Chung Hsing University, Taichung, Taiwan
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7
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Fan R, Xie S, Wang S, Yu Z, Sun X, Du Q, Yang Y, Han R. Identification markers of goat milk adulterated with bovine milk based on proteomics and metabolomics. Food Chem X 2023; 17:100601. [PMID: 36974185 PMCID: PMC10039227 DOI: 10.1016/j.fochx.2023.100601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Revised: 02/09/2023] [Accepted: 02/14/2023] [Indexed: 02/18/2023] Open
Abstract
This study investigated the differences in proteins and metabolites from goat and bovine milk, and their mixtures, using data-independent-acquisition-based proteomics and metabolomics methods. In the skim milk, relative abundances of secretoglobin family 1D member (SCGB1D), polymeric immunoglobulin receptor, and glycosylation-dependent cell adhesion molecule 1 were increased, with an increase in the amount of 1-100 % bovine milk and served as markers at the 1 % adulteration level. In whey samples, β-lactoglobulin and α-2-HS-glycoprotein could be used to detect adulteration at the 0.1 % adulteration level, and SCGB1D and zinc-alpha-2-glycoprotein at the 1 % level. The metabolites of uric acid and N-formylkynurenine could be used to detect bovine milk at adulteration levels as low as 1 % based on variable importance at a projection value of > 1.0 and P-value of < 0.05. Our findings suggest novel markers of SCGB1D, uric acid, and N-formylkynurenine that can help to facilitate assessments of goat milk authenticity.
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Affiliation(s)
- Rongbo Fan
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China
| | - Shubin Xie
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China
| | - Shifeng Wang
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China
| | - Zhongna Yu
- Haidu College. Qingdao Agricultural University, Laiyang 265200, Shandong, China
| | - Xueheng Sun
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China
| | - Qijing Du
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China
| | - Yongxin Yang
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China
| | - Rongwei Han
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China
- Corresponding author.
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8
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Ji Z, Zhang J, Deng C, Hu Z, Du Q, Guo T, Wang J, Fan R, Han R, Yang Y. Identification of mare milk adulteration with cow milk by liquid chromatography-high resolution mass spectrometry based on proteomics and metabolomics approaches. Food Chem 2022; 405:134901. [DOI: 10.1016/j.foodchem.2022.134901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 10/09/2022] [Accepted: 11/07/2022] [Indexed: 11/11/2022]
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9
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Advancement of omics techniques for chemical profile analysis and authentication of milk. Trends Food Sci Technol 2022. [DOI: 10.1016/j.tifs.2022.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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10
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Mafra I, Honrado M, Amaral JS. Animal Species Authentication in Dairy Products. Foods 2022; 11:1124. [PMID: 35454711 PMCID: PMC9027536 DOI: 10.3390/foods11081124] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 04/06/2022] [Accepted: 04/11/2022] [Indexed: 02/01/2023] Open
Abstract
Milk is one of the most important nutritious foods, widely consumed worldwide, either in its natural form or via dairy products. Currently, several economic, health and ethical issues emphasize the need for a more frequent and rigorous quality control of dairy products and the importance of detecting adulterations in these products. For this reason, several conventional and advanced techniques have been proposed, aiming at detecting and quantifying eventual adulterations, preferentially in a rapid, cost-effective, easy to implement, sensitive and specific way. They have relied mostly on electrophoretic, chromatographic and immunoenzymatic techniques. More recently, mass spectrometry, spectroscopic methods (near infrared (NIR), mid infrared (MIR), nuclear magnetic resonance (NMR) and front face fluorescence coupled to chemometrics), DNA analysis (real-time PCR, high-resolution melting analysis, next generation sequencing and droplet digital PCR) and biosensors have been advanced as innovative tools for dairy product authentication. Milk substitution from high-valued species with lower-cost bovine milk is one of the most frequent adulteration practices. Therefore, this review intends to describe the most relevant developments regarding the current and advanced analytical methodologies applied to species authentication of milk and dairy products.
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Affiliation(s)
- Isabel Mafra
- REQUIMTE-LAQV, Faculdade de Farmácia, Universidade do Porto, 4050-313 Porto, Portugal
| | - Mónica Honrado
- CIMO, Instituto Politécnico de Bragança, 5300-253 Bragança, Portugal;
| | - Joana S. Amaral
- CIMO, Instituto Politécnico de Bragança, 5300-253 Bragança, Portugal;
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11
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Arifah MF, Irnawati, Ruslin, Nisa K, Windarsih A, Rohman A. The Application of FTIR Spectroscopy and Chemometrics for the Authentication Analysis of Horse Milk. INTERNATIONAL JOURNAL OF FOOD SCIENCE 2022; 2022:7643959. [PMID: 35242875 PMCID: PMC8888094 DOI: 10.1155/2022/7643959] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 01/18/2022] [Accepted: 01/25/2022] [Indexed: 12/02/2022]
Abstract
Expensive milk such as horse's milk (HM) may be the target of adulteration by other milk such as goat's milk (GM) and cow's milk (CM). FTIR spectroscopy in combination with chemometrics of linear discriminant analysis (LDA) and multivariate calibrations of partial least square regression (PLSR) and principal component regression (PCR) was used for authentication of HM from GM and CM. Milk was directly subjected to attenuated total reflectance (ATR) spectral measurement at midinfrared regions (4000-650 cm-1). Results showed that LDA could make clear discrimination between HM and HM adulterated with CM and GM without any misclassification observed. PLSR using 2nd derivative spectra at 3200-2800 and 1300-1000 cm-1 provided the best model for the relationship between actual values of GM and FTIR predicted values than PCR. At this condition, R 2 values for calibration and validation models obtained were 0.9995 and 0.9612 with RMSEC and RMSEP values of 0.0093 and 0.0794. PLSR using normal FTIR spectra at 3800-3000 and 1500-1000 cm-1 offered R 2 for the relationship between actual values of CM and FTIR predicted values of >0.99 in calibration and validation models with low errors of RMSEC of 0.0164 and RMSEP of 0.0336 during authentication of HM from CM. Therefore, FTIR spectroscopy in combination with LDA and PLSR is an effective method for authentication of HM from GM and CM.
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Affiliation(s)
- Mitsalina Fildzah Arifah
- Center of Excellence, Institute for Halal Industry and Systems, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia
- Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia
| | - Irnawati
- Faculty of Pharmacy, Halu Oleo University, Kendari 93232, Indonesia
| | - Ruslin
- Faculty of Pharmacy, Halu Oleo University, Kendari 93232, Indonesia
| | - Khoirun Nisa
- Research Division for Natural Product Technology (BPTBA), National Research and Innovation Agency (BRIN), Yogyakarta 55861, Indonesia
| | - Anjar Windarsih
- Research Division for Natural Product Technology (BPTBA), National Research and Innovation Agency (BRIN), Yogyakarta 55861, Indonesia
| | - Abdul Rohman
- Center of Excellence, Institute for Halal Industry and Systems, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia
- Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia
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12
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Bernard H, Hazebrouck S, Gaiani N, Adel-Patient K. Allergen Risk Assessment for Specific Allergy to Small Ruminant's Milk: Development of Sensitive Immunoassays to Detect Goat's and Sheep's Milk Contaminations in Dairy Food Matrices. FRONTIERS IN ALLERGY 2021; 2:733875. [PMID: 35386964 PMCID: PMC8974779 DOI: 10.3389/falgy.2021.733875] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 09/07/2021] [Indexed: 12/02/2022] Open
Abstract
Despite a high level of sequence identity between cow's, goat's, and sheep's milk (CM, GM, and SM, respectively) proteins, some patients tolerant to CM are allergic to GM and SM. In most cases, this specificity is due to the presence of IgE antibodies that bind only to caprine and ovine caseins. The patients may then develop severe allergic reactions after ingestion of CM products contaminated with low amounts of GM or SM. We thus aimed to develop an assay able to detect traces of caprine/ovine β-caseins in different food matrices, irrespective of the presence of the bovine homolog. We produced monoclonal antibodies (mAbs) specific to caprine caseins in mice tolerized to the bovine whole casein then sensitized to the caprine whole casein. In order to develop a two-site immunometric assay, we selected mAbs that could discriminate the caprine β-casein from its bovine homolog. Characteristics and performances of two tests were determined with various dairy products. Results were analyzed in relation with the IgE-immunoreactivity of the food matrices, thanks to sera from CM, GM/SM allergic patients. Our two-site immunometric assays demonstrated a high sensitivity with a detection limit of 1.6–3.2 ng/mL of caprine and ovine β-caseins. The tests were able to detect contaminations of GM in CM at the ppm level. Heat-treatment, ripening and coagulation processes, usually applied to dairy products that exhibit a very high IgE-immunoreactivity, did not impair the test sensitivity. These quantitative assays could then be useful for the risk assessment of food products potentially contaminated with GM and SM in order to prevent adverse reactions in patients specifically allergic to these milks.
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13
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Barzaghi S, Monti L, Marinoni L, Cattaneo TMP. Chemometrics for the Identification of Nitrogen and Acid Compounds in Milk-Whey as By-Products from Crescenza and Grana Padano Type Cheese-Making. Molecules 2021; 26:molecules26164839. [PMID: 34443426 PMCID: PMC8398050 DOI: 10.3390/molecules26164839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 07/28/2021] [Accepted: 08/07/2021] [Indexed: 11/22/2022] Open
Abstract
Proteomics and metabolomics are analytic tools used in combination with bioinformatics to study proteins and metabolites which contribute to describing complex biological systems. The growing interest in research concerning the resolution of these systems has stimulated the development of sophisticated procedures and new applications. This paper introduces the evolution of statistical techniques for the treatment of data, suggesting the possibility to successfully characterize the milk-whey syneresis process by applying two-dimensional correlation analysis (2DCOR) to a series of CE electropherograms referring to milk-whey samples collected during cheese manufacturing. Two cheese-making processes to produce hard cheese (Grana type) and fresh cheese (Crescenza) were taken as models. The applied chemometric tools were shown to be useful for the treatment of data acquired in a systematically perturbed chemical system as a function of time.
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Affiliation(s)
- Stefania Barzaghi
- Research Centre for Animal Production and Aquaculture, Council for Agricultural Research and Economics, Via A. Lombardo, 11, 26900 Lodi, Italy;
- Correspondence: ; Tel.: +39-0371-4501262
| | - Lucia Monti
- Research Centre for Animal Production and Aquaculture, Council for Agricultural Research and Economics, Via A. Lombardo, 11, 26900 Lodi, Italy;
| | - Laura Marinoni
- Research Centre for Engineering and Agro-Food Processing, Council for Agricultural Research and Economics, Via G. Venezian, 26, 20133 Milano, Italy; (L.M.); (T.M.P.C.)
| | - Tiziana M. P. Cattaneo
- Research Centre for Engineering and Agro-Food Processing, Council for Agricultural Research and Economics, Via G. Venezian, 26, 20133 Milano, Italy; (L.M.); (T.M.P.C.)
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14
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Applied Proteomics in 'One Health'. Proteomes 2021; 9:proteomes9030031. [PMID: 34208880 PMCID: PMC8293331 DOI: 10.3390/proteomes9030031] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 06/24/2021] [Accepted: 06/25/2021] [Indexed: 12/19/2022] Open
Abstract
‘One Health’ summarises the idea that human health and animal health are interdependent and bound to the health of ecosystems. The purpose of proteomics methodologies and studies is to determine proteins present in samples of interest and to quantify changes in protein expression during pathological conditions. The objectives of this paper are to review the application of proteomics technologies within the One Health concept and to appraise their role in the elucidation of diseases and situations relevant to One Health. The paper develops in three sections. Proteomics Applications in Zoonotic Infections part discusses proteomics applications in zoonotic infections and explores the use of proteomics for studying pathogenetic pathways, transmission dynamics, diagnostic biomarkers and novel vaccines in prion, viral, bacterial, protozoan and metazoan zoonotic infections. Proteomics Applications in Antibiotic Resistance part discusses proteomics applications in mechanisms of resistance development and discovery of novel treatments for antibiotic resistance. Proteomics Applications in Food Safety part discusses the detection of allergens, exposure of adulteration, identification of pathogens and toxins, study of product traits and characterisation of proteins in food safety. Sensitive analysis of proteins, including low-abundant ones in complex biological samples, will be achieved in the future, thus enabling implementation of targeted proteomics in clinical settings, shedding light on biomarker research and promoting the One Health concept.
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Valletta M, Ragucci S, Landi N, Di Maro A, Pedone PV, Russo R, Chambery A. Mass spectrometry-based protein and peptide profiling for food frauds, traceability and authenticity assessment. Food Chem 2021; 365:130456. [PMID: 34243122 DOI: 10.1016/j.foodchem.2021.130456] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 06/22/2021] [Accepted: 06/22/2021] [Indexed: 01/03/2023]
Abstract
The ever-growing use of mass spectrometry (MS) methodologies in food authentication and traceability originates from their unrivalled specificity, accuracy and sensitivity. Such features are crucial for setting up analytical strategies for detecting food frauds and adulterations by monitoring selected components within food matrices. Among MS approaches, protein and peptide profiling has become increasingly consolidated. This review explores the current knowledge on recent MS techniques using protein and peptide biomarkers for assessing food traceability and authenticity, with a specific focus on their use for unmasking potential frauds and adulterations. We provide a survey of the current state-of-the-art instrumentation including the most reliable and sensitive acquisition modes highlighting advantages and limitations. Finally, we summarize the recent applications of MS to protein/peptide analyses in food matrices and examine their potential in ensuring the quality of agro-food products.
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Affiliation(s)
- Mariangela Valletta
- Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, University of Campania "Luigi Vanvitelli", 81100 Caserta, Italy
| | - Sara Ragucci
- Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, University of Campania "Luigi Vanvitelli", 81100 Caserta, Italy
| | - Nicola Landi
- Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, University of Campania "Luigi Vanvitelli", 81100 Caserta, Italy
| | - Antimo Di Maro
- Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, University of Campania "Luigi Vanvitelli", 81100 Caserta, Italy
| | - Paolo Vincenzo Pedone
- Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, University of Campania "Luigi Vanvitelli", 81100 Caserta, Italy
| | - Rosita Russo
- Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, University of Campania "Luigi Vanvitelli", 81100 Caserta, Italy.
| | - Angela Chambery
- Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, University of Campania "Luigi Vanvitelli", 81100 Caserta, Italy.
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Agregán R, Echegaray N, López-Pedrouso M, Kharabsheh R, Franco D, Lorenzo JM. Proteomic Advances in Milk and Dairy Products. Molecules 2021; 26:3832. [PMID: 34201770 PMCID: PMC8270265 DOI: 10.3390/molecules26133832] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 06/11/2021] [Accepted: 06/21/2021] [Indexed: 02/04/2023] Open
Abstract
Proteomics is a new area of study that in recent decades has provided great advances in the field of medicine. However, its enormous potential for the study of proteomes makes it also applicable to other areas of science. Milk is a highly heterogeneous and complex fluid, where there are numerous genetic variants and isoforms with post-translational modifications (PTMs). Due to the vast number of proteins and peptides existing in its matrix, proteomics is presented as a powerful tool for the characterization of milk samples and their products. The technology developed to date for the separation and characterization of the milk proteome, such as two-dimensional gel electrophoresis (2DE) technology and especially mass spectrometry (MS) have allowed an exhaustive characterization of the proteins and peptides present in milk and dairy products with enormous applications in the industry for the control of fundamental parameters, such as microbiological safety, the guarantee of authenticity, or the control of the transformations carried out, aimed to increase the quality of the final product.
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Affiliation(s)
- Rubén Agregán
- Centro Tecnológico de la Carne de Galicia, Adva. Galicia n° 4, Parque Tecnológico de Galicia, San Cibrao das Viñas, 32900 Ourense, Spain; (R.A.); (N.E.); (D.F.)
| | - Noemí Echegaray
- Centro Tecnológico de la Carne de Galicia, Adva. Galicia n° 4, Parque Tecnológico de Galicia, San Cibrao das Viñas, 32900 Ourense, Spain; (R.A.); (N.E.); (D.F.)
| | - María López-Pedrouso
- Department of Zoology, Genetics and Physical Anthropology, University of Santiago de Compostela, 15872 Santiago de Compostela, Spain;
| | - Radwan Kharabsheh
- Business Administration, Faculty of Economics and Administrative Sciences, Applied Science University—Bahrain, Al Hidd 5055, Bahrain;
| | - Daniel Franco
- Centro Tecnológico de la Carne de Galicia, Adva. Galicia n° 4, Parque Tecnológico de Galicia, San Cibrao das Viñas, 32900 Ourense, Spain; (R.A.); (N.E.); (D.F.)
| | - José M. Lorenzo
- Centro Tecnológico de la Carne de Galicia, Adva. Galicia n° 4, Parque Tecnológico de Galicia, San Cibrao das Viñas, 32900 Ourense, Spain; (R.A.); (N.E.); (D.F.)
- Área de Tecnología de los Alimentos, Facultad de Ciencias de Ourense, Universidad de Vigo, 32004 Ourense, Spain
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17
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Quantification of major royal jelly proteins using ultra performance liquid chromatography tandem triple quadrupole mass spectrometry and application in honey authenticity. J Food Compost Anal 2021. [DOI: 10.1016/j.jfca.2021.103801] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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18
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Calvano CD, Rigante ECL, Cataldi TRI, Sabbatini L. In Situ Hydrogel Extraction with Dual-Enzyme Digestion of Proteinaceous Binders: the Key for Reliable Mass Spectrometry Investigations of Artworks. Anal Chem 2020; 92:10257-10261. [PMID: 32648736 DOI: 10.1021/acs.analchem.0c01898] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
A novel strategy based on in situ dual-enzyme digestion of paint layer proteinaceous binders is introduced for faster and more confident identification, resulting in a bottom-up proteomics approach by MALDI-TOF mass spectrometry (MS). In situ sampling/extraction of proteinaceous binders using small pieces of a hydrophilic gel, previously loaded with trypsin and chymotrypsin proteolytic enzymes, was successfully exploited. Along with minimal invasiveness, the synergy of both enzymes was very useful to increase the number of annotated peptide peaks with their corresponding amino acid sequence by database search and subsequent MALDI-TOF/TOF analysis. The protocol was initially aimed at enhancing the identification of egg-based binders and then validated on fresh and aged model pictorial layers; an increased protein coverage was significantly attained regardless of the used painting binders. Optical microscope images and spectrophotocolorimetry analysis evidenced that the painting layers were not damaged or altered because of contact/sampling without leaving hydrogel residues. The proposed protocol was successfully applied on a painted altarpiece "Assumption of the Virgin" dated to the XVI century and on an angel statue of the Nativity crib dated to the XII century, both from Altamura's Cathedral (Apulia, Italy). The occurrence of various protein binders of animal origin was easily and reliably ascertained.
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Creydt M, Fischer M. Food authentication in real life: How to link nontargeted approaches with routine analytics? Electrophoresis 2020; 41:1665-1679. [PMID: 32249434 DOI: 10.1002/elps.202000030] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Revised: 03/19/2020] [Accepted: 03/23/2020] [Indexed: 12/20/2022]
Abstract
In times of increasing globalization and the resulting complexity of trade flows, securing food quality is an increasing challenge. The development of analytical methods for checking the integrity and, thus, the safety of food is one of the central questions for actors from science, politics, and industry. Targeted methods, for the detection of a few selected analytes, still play the most important role in routine analysis. In the past 5 years, nontargeted methods that do not aim at individual analytes but on analyte profiles that are as comprehensive as possible have increasingly come into focus. Instead of investigating individual chemical structures, data patterns are collected, evaluated and, depending on the problem, fed into databases that can be used for further nontargeted approaches. Alternatively, individual markers can be extracted and transferred to targeted methods. Such an approach requires (i) the availability of authentic reference material, (ii) the corresponding high-resolution laboratory infrastructure, and (iii) extensive expertise in processing and storing very large amounts of data. Probably due to the requirements mentioned above, only a few methods have really established themselves in routine analysis. This review article focuses on the establishment of nontargeted methods in routine laboratories. Challenges are summarized and possible solutions are presented.
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Affiliation(s)
- Marina Creydt
- Hamburg School of Food Science, Institute of Food Chemistry, University of Hamburg, Hamburg, Germany
| | - Markus Fischer
- Hamburg School of Food Science, Institute of Food Chemistry, University of Hamburg, Hamburg, Germany
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Du L, Lu W, Zhang Y, Gao B, Yu L. Detection of milk powder in liquid whole milk using hydrolyzed peptide and intact protein mass spectral fingerprints coupled with data fusion technologies. Food Sci Nutr 2020; 8:1471-1479. [PMID: 32180956 PMCID: PMC7063352 DOI: 10.1002/fsn3.1430] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2019] [Revised: 12/21/2019] [Accepted: 12/27/2019] [Indexed: 01/15/2023] Open
Abstract
Detection of the presence of milk powder in liquid whole milk is challenging due to their similar chemical components. In this study, a sensitive and robust approach has been developed and tested for potential utilization in discriminating adulterated milk from liquid whole milk by analyzing the intact protein and hydrolyzed peptide using ultra‐performance liquid chromatography with quadrupole time‐of‐flight mass spectrometer (UPLC‐QTOF‐MS) fingerprints combined with data fusion. Two different datasets from intact protein and peptide fingerprints were fused to improve the discriminating ability of principle component analysis (PCA). Furthermore, the midlevel data fusion coupled with PCA could completely distinguish liquid whole milk from the milk. The limit of detection of milk powder in liquid whole milk was 0.5% (based on the total protein equivalence). These results suggested that fused data from intact protein and peptide fingerprints created greater synergic effect in detecting milk quality, and the combination of data fusion and PCA analysis could be used for the detection of adulterated milk.
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Affiliation(s)
- Lijuan Du
- Department of Food Science and Technology School of Agriculture and Biology Institute of Food and Nutraceutical Science Shanghai Jiao Tong University Shanghai China.,China-Canada Joint Lab of Food Nutrition and Health (Beijing) Beijing Technology & Business University (BTBU) Beijing China
| | - Weiying Lu
- Department of Food Science and Technology School of Agriculture and Biology Institute of Food and Nutraceutical Science Shanghai Jiao Tong University Shanghai China
| | - Yaqiong Zhang
- Department of Food Science and Technology School of Agriculture and Biology Institute of Food and Nutraceutical Science Shanghai Jiao Tong University Shanghai China
| | - Boyan Gao
- Department of Food Science and Technology School of Agriculture and Biology Institute of Food and Nutraceutical Science Shanghai Jiao Tong University Shanghai China.,China-Canada Joint Lab of Food Nutrition and Health (Beijing) Beijing Technology & Business University (BTBU) Beijing China
| | - Liangli Yu
- Department of Nutrition and Food Science University of Maryland College Park MD USA
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21
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Detection of the Bovine Milk Adulterated in Camel, Horse, and Goat Milk Using Duplex PCR. FOOD ANAL METHOD 2019. [DOI: 10.1007/s12161-019-01678-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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22
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Gunning Y, Fong LK, Watson AD, Philo M, Kemsley EK. Quantitative authenticity testing of buffalo mozzarella via αs1-Casein using multiple reaction monitoring mass spectrometry. Food Control 2019. [DOI: 10.1016/j.foodcont.2019.02.029] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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23
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Boschetti E, Hernández-Castellano LE, Righetti PG. Progress in farm animal proteomics: The contribution of combinatorial peptide ligand libraries. J Proteomics 2019; 197:1-13. [DOI: 10.1016/j.jprot.2019.02.005] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2018] [Revised: 01/17/2019] [Accepted: 02/07/2019] [Indexed: 02/08/2023]
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24
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Abstract
Authenticity and traceability of food products are of primary importance at all levels of the production process, from raw materials to finished products. Authentication is also a key aspect for accurate labeling of food, which is required to help consumers in selecting appropriate types of food products. With the aim of guaranteeing the authenticity of foods, various methodological approaches have been devised over the past years, mainly based on either targeted or untargeted analyses. In this review, a brief overview of current analytical methods tailored to authenticity studies, with special regard to fishery products, is provided. Focus is placed on untargeted methods that are attracting the interest of the analytical community thanks to their rapidity and high throughput; such methods enable a fast collection of “fingerprinting signals” referred to each authentic food, subsequently stored into large database for the construction of specific information repositories. In the present case, methods capable of detecting fish adulteration/substitution and involving sensory, physicochemical, DNA-based, chromatographic, and spectroscopic measurements, combined with chemometric tools, are illustrated and commented on.
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