1
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Dermane A, Eloh K, Palanga KK, Tchakinguena Adjito D, N'nanle O, Karou DS, Kpanzou TA, Caboni P. Comparative Metabolomic Profiling of Eggs from 3 Diverse Chicken Breeds Using GC-MS Analysis. Poult Sci 2024; 103:103616. [PMID: 38503138 PMCID: PMC10966296 DOI: 10.1016/j.psj.2024.103616] [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: 01/07/2024] [Revised: 02/29/2024] [Accepted: 03/01/2024] [Indexed: 03/21/2024] Open
Abstract
Eggs, as a crucial source of essential nutrients for consumers, possess a high nutritional value owing to their rich composition of vital components essential for human health. While previous research has extensively investigated genetic factors influencing egg quality, there has been a limited focus on exploring the impact of specific strains, particularly within the African context, on the polar metabolite profile of eggs. In this extensive study, we conducted an untargeted analysis of the chemical composition of both albumen and yolk from 3 distinct strains of hens-Blue Holland, Sasso, and Wassache-raised under identical feeding conditions. Utilizing gas chromatography coupled with mass spectrometry (GC-MS), we meticulously examined amino acids, carbohydrates, fatty acids, and other small polar metabolites. In total, 38 and 44 metabolites were identified in the whites and yolk, respectively, of the 3 studied strains. The application of chemometric analysis revealed notable differences in metabolite profiles with 8 relevant metabolites in each egg part. These metabolites include amino acids (N-α-Acetyl-L-lysine, lysine, L-valine, L-Tryptophan), fatty acids (oleic acid, linoleic acid, palmitic acid and stearic acid), and carbohydrates (d-glucose, maltose, lactose). These findings shed light on strain-specific metabolic nuances within eggs, emphasizing potential nutritional implications. The ensuing discussion delves into the diverse metabolic pathways influenced by the identified metabolites, offering insights that contribute to a broader understanding of egg composition and its significance in tailoring nutritional strategies for diverse populations.
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Affiliation(s)
- Affo Dermane
- Laboratory of Chemistry, Faculty of Health Sciences, University of Lomé, Lomé, Togo
| | - Kodjo Eloh
- Laboratory of Organic Chemistry and Environmental Sciences, Department of Chemistry, University of Kara, Kara, Togo.
| | - Koffi Kibalou Palanga
- Laboratory of Applied Agronomic and Biological Sciences, High Institute of Agricultural Professions, University of Kara, Kara, Togo
| | - Diane Tchakinguena Adjito
- Laboratory of Organic Chemistry and Environmental Sciences, Department of Chemistry, University of Kara, Kara, Togo
| | - Oumbortime N'nanle
- Regional Center of Excellence in Poultry Science, University of Lome, Lome, Togo
| | | | - Tchilabalo Abozou Kpanzou
- Laboratory of Mathematical Modelling and Decision Statistical Analysis, Department of Mathematics, University of Kara, Kara, Togo
| | - Pierluigi Caboni
- Laboratory of Organic Chemistry and Environmental Sciences, Department of Chemistry, University of Kara, Kara, Togo
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2
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Sammarco G, Dall'Asta C, Suman M. Untargeted metabolomics liquid chromatography-high resolution mass spectrometry approach for the geographical origin assessment of Italian dehydrated apples. JOURNAL OF MASS SPECTROMETRY : JMS 2023; 58:e4954. [PMID: 37525466 DOI: 10.1002/jms.4954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 05/23/2023] [Accepted: 06/01/2023] [Indexed: 08/02/2023]
Abstract
Geographical provenience is nowadays a relevant aspect of the authenticity and the quality of many food commodities. Dehydrated apple cubes/slices represent an ingredient commonly used by food companies for bakery products. However, this apple-based matrix is not so known and studied from an analytical point of view. In the present work, seven compounds were identified as key molecules to distinguish between Italian and non-Italian samples, through an untargeted ultrahigh-pressure liquid chromatography-high-resolution mass spectrometry (UHPLC-HRMS) approach. This methodology was merged with multivariate statistical analysis, and the principal features were studied and identified considering several identification steps. Samples from 2020 and 2021 harvesting campaigns, with partial and total dehydration rates, with or without peel, and from different apple varieties were considered for the study, for a total of 91 samples. Afterward, the same analysis protocol was applied to an external set (n = 12 samples), included in the statistical models, searching for the key compounds identified in the training set. Interesting and significant results underlined the potentiality of the UHPLC-HRMS technology as a confirmatory strategy for the geographical origin assessment of dehydrated apple commodities.
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Affiliation(s)
- Giuseppe Sammarco
- Advanced Laboratory Research, Barilla G. e R. Fratelli S.p.A., Parma, Italy
- Department of Food and Drug, University of Parma, Parma, Italy
| | | | - Michele Suman
- Advanced Laboratory Research, Barilla G. e R. Fratelli S.p.A., Parma, Italy
- Department for Sustainable Food Process, Catholic University Sacred Heart, Piacenza, Italy
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3
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Wang X, Zhong L, Zou X, Gong L, Zhuang J, Zhang D, Zheng H, Wang X, Wu D, Zhan R, Chen L. GC-MS and UHPLC-QTOFMS-assisted identification of the differential metabolites and metabolic pathways in key tissues of Pogostemon cablin. FRONTIERS IN PLANT SCIENCE 2023; 14:1098280. [PMID: 36923120 PMCID: PMC10009150 DOI: 10.3389/fpls.2023.1098280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 02/14/2023] [Indexed: 06/18/2023]
Abstract
Pogostemon cablin is an important aromatic medicinal herb widely used in the pharmaceutical and perfume industries. However, our understanding of the phytochemical compounds and metabolites within P. cablin remains limited. To our knowledge, no integrated studies have hitherto been conducted on the metabolites of the aerial parts of P. cablin. In this study, twenty-three volatile compounds from the aerial parts of P. cablin were identified by GC-MS, predominantly sesquiterpenes. Quantitative analysis showed the highest level of patchouli alcohol in leaves (24.89 mg/g), which was 9.12 and 6.69-fold higher than in stems and flowers. UHPLC-QTOFMS was used to analyze the non-volatile compounds of leaf, stem and flower tissues. The differences in metabolites between flower and leaf tissues were the largest. Based on 112, 77 and 83 differential metabolites between flower-leaf, flower-stem and leaf-stem, three tissue-specific biomarkers of metabolites were identified, and the differential metabolites were enriched in several KEGG pathways. Furthermore, labeling differential metabolites in the primary and secondary metabolic pathways showed that flowers accumulated more lipids and amino acids, including proline, lysine and tryptophan; the leaves accumulated higher levels of terpenoids, vitamins and flavonoids, and stems contained higher levels of carbohydrate compounds. Based on the role of acetyl coenzyme A, the distribution and possible exchange mechanism of metabolites in leaves, stems and flowers of P. cablin were mapped for the first time, laying the groundwork for future research on the metabolites in P. cablin and their regulatory role.
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Affiliation(s)
- Xiaobing Wang
- Research Center of Chinese Herbal Resource Science and Engineering, Guangzhou University of Chinese Medicine, Key Laboratory of Chinese Medicinal Resource from Lingnan (Guangzhou University of Chinese Medicine), Ministry of Education, Joint Laboratory of National Engineering Research Center for the Pharmaceutics of Traditional Chinese Medicines, Guangzhou, China
| | - Liting Zhong
- Research Center of Chinese Herbal Resource Science and Engineering, Guangzhou University of Chinese Medicine, Key Laboratory of Chinese Medicinal Resource from Lingnan (Guangzhou University of Chinese Medicine), Ministry of Education, Joint Laboratory of National Engineering Research Center for the Pharmaceutics of Traditional Chinese Medicines, Guangzhou, China
| | - Xuan Zou
- Research Center of Chinese Herbal Resource Science and Engineering, Guangzhou University of Chinese Medicine, Key Laboratory of Chinese Medicinal Resource from Lingnan (Guangzhou University of Chinese Medicine), Ministry of Education, Joint Laboratory of National Engineering Research Center for the Pharmaceutics of Traditional Chinese Medicines, Guangzhou, China
| | - Lizhen Gong
- Research Center of Chinese Herbal Resource Science and Engineering, Guangzhou University of Chinese Medicine, Key Laboratory of Chinese Medicinal Resource from Lingnan (Guangzhou University of Chinese Medicine), Ministry of Education, Joint Laboratory of National Engineering Research Center for the Pharmaceutics of Traditional Chinese Medicines, Guangzhou, China
| | - Jiexuan Zhuang
- Research Center of Chinese Herbal Resource Science and Engineering, Guangzhou University of Chinese Medicine, Key Laboratory of Chinese Medicinal Resource from Lingnan (Guangzhou University of Chinese Medicine), Ministry of Education, Joint Laboratory of National Engineering Research Center for the Pharmaceutics of Traditional Chinese Medicines, Guangzhou, China
| | - Danhua Zhang
- Research Center of Chinese Herbal Resource Science and Engineering, Guangzhou University of Chinese Medicine, Key Laboratory of Chinese Medicinal Resource from Lingnan (Guangzhou University of Chinese Medicine), Ministry of Education, Joint Laboratory of National Engineering Research Center for the Pharmaceutics of Traditional Chinese Medicines, Guangzhou, China
| | - Hai Zheng
- School of Pharmaceutical Sciences, Guangdong Food and Drug Vocational College, Guangzhou, China
| | - Xiaomin Wang
- Research Center of Chinese Herbal Resource Science and Engineering, Guangzhou University of Chinese Medicine, Key Laboratory of Chinese Medicinal Resource from Lingnan (Guangzhou University of Chinese Medicine), Ministry of Education, Joint Laboratory of National Engineering Research Center for the Pharmaceutics of Traditional Chinese Medicines, Guangzhou, China
| | - Daidi Wu
- Research Center of Chinese Herbal Resource Science and Engineering, Guangzhou University of Chinese Medicine, Key Laboratory of Chinese Medicinal Resource from Lingnan (Guangzhou University of Chinese Medicine), Ministry of Education, Joint Laboratory of National Engineering Research Center for the Pharmaceutics of Traditional Chinese Medicines, Guangzhou, China
| | - Ruoting Zhan
- Research Center of Chinese Herbal Resource Science and Engineering, Guangzhou University of Chinese Medicine, Key Laboratory of Chinese Medicinal Resource from Lingnan (Guangzhou University of Chinese Medicine), Ministry of Education, Joint Laboratory of National Engineering Research Center for the Pharmaceutics of Traditional Chinese Medicines, Guangzhou, China
- Maoming Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Maoming, Guangdong, China
| | - Likai Chen
- Research Center of Chinese Herbal Resource Science and Engineering, Guangzhou University of Chinese Medicine, Key Laboratory of Chinese Medicinal Resource from Lingnan (Guangzhou University of Chinese Medicine), Ministry of Education, Joint Laboratory of National Engineering Research Center for the Pharmaceutics of Traditional Chinese Medicines, Guangzhou, China
- Maoming Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Maoming, Guangdong, China
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4
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A comprehensive overview of emerging techniques and chemometrics for authenticity and traceability of animal-derived food. Food Chem 2023; 402:134216. [DOI: 10.1016/j.foodchem.2022.134216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 08/21/2022] [Accepted: 09/09/2022] [Indexed: 11/17/2022]
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5
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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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6
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Loffi C, Cavanna D, Sammarco G, Catellani D, Dall'Asta C, Suman M. Non-targeted high-resolution mass spectrometry study for evaluation of milk freshness. J Dairy Sci 2021; 104:12286-12294. [PMID: 34593223 DOI: 10.3168/jds.2021-20285] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Accepted: 07/12/2021] [Indexed: 12/30/2022]
Abstract
Milk freshness is an important parameter for both consumers' health and quality of milk-based products. Up to now there have been neither analytical methods nor specific parameters to uniquely define milk freshness from a complete and univocal chemical perspective. In this study, 8 molecules were selected and identified as responsible for milk aging, using a liquid chromatography-high-resolution mass spectrometry approach followed by chemometric data elaboration. For model setup and marker selection, 30 high-quality pasteurized fresh milk samples were collected directly from the production site and analyzed immediately and after storage at 2 to 8°C for 7 d. The markers were then validated by challenging the model with a set of 10 milk samples, not previously analyzed. Our results demonstrated that the markers identified within this study can be successfully used for the correct classification of non-fresh milk samples, complementing and successfully enhancing parallel evaluations obtainable through sensory measures.
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Affiliation(s)
- Cecilia Loffi
- Advanced Research Laboratory, Barilla G. e R. Fratelli S.p.A., Via Mantova 166, 43122 Parma, Italy; Department of Food and Drugs, University of Parma, Parco Area delle Scienze 95/A, 43124 Parma, Italy
| | - Daniele Cavanna
- Advanced Research Laboratory, Barilla G. e R. Fratelli S.p.A., Via Mantova 166, 43122 Parma, Italy
| | - Giuseppe Sammarco
- Advanced Research Laboratory, Barilla G. e R. Fratelli S.p.A., Via Mantova 166, 43122 Parma, Italy; Department of Food and Drugs, University of Parma, Parco Area delle Scienze 95/A, 43124 Parma, Italy
| | - Dante Catellani
- Advanced Research Laboratory, Barilla G. e R. Fratelli S.p.A., Via Mantova 166, 43122 Parma, Italy
| | - Chiara Dall'Asta
- Department of Food and Drugs, University of Parma, Parco Area delle Scienze 95/A, 43124 Parma, Italy
| | - Michele Suman
- Advanced Research Laboratory, Barilla G. e R. Fratelli S.p.A., Via Mantova 166, 43122 Parma, Italy; Department for Sustainable Food Process, Catholic University of the Sacred Heart, 29121 Piacenza, Italy.
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7
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Pedrosa MC, Lima L, Heleno S, Carocho M, Ferreira ICFR, Barros L. Food Metabolites as Tools for Authentication, Processing, and Nutritive Value Assessment. Foods 2021; 10:2213. [PMID: 34574323 PMCID: PMC8465241 DOI: 10.3390/foods10092213] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 09/14/2021] [Accepted: 09/15/2021] [Indexed: 12/25/2022] Open
Abstract
Secondary metabolites are molecules with unlimited applications that have been gaining importance in various industries and studied from many angles. They are mainly used for their bioactive capabilities, but due to the improvement of sensibility in analytical chemistry, they are also used for authentication and as a quality control parameter for foods, further allowing to help avoid food adulteration and food fraud, as well as helping understand the nutritional value of foods. This manuscript covers the examples of secondary metabolites that have been used as qualitative and authentication molecules in foods, from production, through processing and along their shelf-life. Furthermore, perspectives of analytical chemistry and their contribution to metabolite detection and general perspectives of metabolomics are also discussed.
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Affiliation(s)
| | | | | | - Márcio Carocho
- Centro de Investigação de Montanha (CIMO), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, Portugal; (M.C.P.); (L.L.); (S.H.); (I.C.F.R.F.); (L.B.)
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8
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Fighting food frauds exploiting chromatography-mass spectrometry technologies: Scenario comparison between solutions in scientific literature and real approaches in place in industrial facilities. Trends Analyt Chem 2021. [DOI: 10.1016/j.trac.2021.116305] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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9
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Zhong P, Wei X, Xu Y, Zhang L, Koidis A, Liu Y, Lei Y, Wu S, Lei H. Integration of Untargeted and Pseudotargeted Metabolomics for Authentication of Three Shrimp Species Using UHPLC-Q-Orbitrap. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2021; 69:8861-8873. [PMID: 34319107 DOI: 10.1021/acs.jafc.1c02630] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
In this work, an untargeted and pseudotargeted metabolomics combination approach was used for authentication of three shrimp species (Litopenaeus vanmamei, Penaeus japonicus, and Penaeus monodon). The monophasic extraction-based untargeted metabolomics approach enabled comprehensive-coverage and high-throughput analysis of shrimp tissue and revealed 26 potential markers. The pseudotargeted metabolomics approach confirmed 21 markers (including 9 key markers), which realized at least putative identification. The 21 confirmed markers, as well as 9 key markers, were used to develop PLS-DA models, correctly classifying 60/60 testing samples. Furthermore, DD-SIMCA and PLS-DA models were integrated based on the 9 key markers, with 59/60 and 20/20 samples of the species that were involved and uninvolved in model training correctly classified. The results demonstrated the potential of this untargeted and pseudotargeted metabolomics combination approach for shrimp species authentication.
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Affiliation(s)
- Peng Zhong
- Guangdong Province Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, China
| | - Xiaoqun Wei
- Guangdong Province Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, China
| | - Yi Xu
- Guangdong Province Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, China
| | - Lulu Zhang
- Guangdong Province Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, China
| | - Anastasios Koidis
- Institute for Global Food Security, Queen's University Belfast, 19 Chlorine Gardens, Belfast BT9 5DJ, United Kingdom
| | - Yunle Liu
- Guangdong Province Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, China
| | - Yi Lei
- Guangdong Institute of Food Inspection, Guangzhou 510435, China
| | - Shaozong Wu
- Guangdong Province Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, China
| | - Hongtao Lei
- Guangdong Province Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, China
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10
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Chang WCW, Wu HY, Kan HL, Lin YC, Tsai PJ, Chen YC, Pan YY, Liao PC. Discovery of Spoilage Markers for Chicken Eggs Using Liquid Chromatography-High Resolution Mass Spectrometry-Based Untargeted and Targeted Foodomics. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2021; 69:4331-4341. [PMID: 33787240 DOI: 10.1021/acs.jafc.1c01009] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
The current approaches remain insufficient for measuring chicken egg spoilage or present analytical limitations. This study aimed to complement the existing analyses and identify novel markers using liquid chromatography-high resolution mass spectrometry-based foodomics strategies. In the discovery set, comparative untargeted metabolomics was utilized to identify marker candidates in microbially inoculated chicken eggs. Markers were annotated by spectral matching with authentic standards, experimental libraries, or in silico fragmentation. In the validation set, targeted metabolomics was employed to verify the markers in stored chicken eggs from five farms. Statistical differences at a p-value < 0.001 revealed increases in lactic and 3-hydroxybutyric acids and decreases in phosphocholine, LPE(O-18:1), LPC(16:0), and LPC(18:0) in stored eggs. Receiver operating characteristic curve analysis of the six combined markers yielded an AUC of 0.956 and a sensitivity and specificity of ∼90%. Four phospholipids were highlighted as a novel class of spoilage markers. Our findings may contribute to further industrial implementation, benefiting the quality assurance and food safety of poultry egg production.
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Affiliation(s)
- William Chih-Wei Chang
- School of Pharmacy, College of Pharmacy, Kaohsiung Medical University, Kaohsiung 807, Taiwan
- Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan
| | - Hsin-Yi Wu
- Instrumentation Center, National Taiwan University, Taipei 106, Taiwan
| | - Hung-Lin Kan
- PhD Program in Toxicology, College of Pharmacy, Kaohsiung Medical University, Kaohsiung 807, Taiwan
| | - Ying-Chi Lin
- School of Pharmacy, College of Pharmacy, Kaohsiung Medical University, Kaohsiung 807, Taiwan
- PhD Program in Toxicology, College of Pharmacy, Kaohsiung Medical University, Kaohsiung 807, Taiwan
| | - Pei-Jane Tsai
- Department of Medical Laboratory Science and Biotechnology, College of Medicine, National Cheng Kung University, Tainan 701, Taiwan
| | - Yun-Chieh Chen
- Department of Food Safety/Hygiene and Risk Management, College of Medicine, National Cheng Kung University, Tainan 701, Taiwan
| | - Yu-Yi Pan
- Department of Statistics, National Cheng Kung University, Tainan 701, Taiwan
| | - Pao-Chi Liao
- Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan
- Department of Food Safety/Hygiene and Risk Management, College of Medicine, National Cheng Kung University, Tainan 701, Taiwan
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11
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Renzone G, Novi G, Scaloni A, Arena S. Monitoring aging of hen egg by integrated quantitative peptidomic procedures. Food Res Int 2021; 140:110010. [PMID: 33648242 DOI: 10.1016/j.foodres.2020.110010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Revised: 11/15/2020] [Accepted: 12/08/2020] [Indexed: 10/22/2022]
Abstract
Environmental conditions and timing of egg storage highly affect raw material quality. Aging and endogenous processing of constituent proteins can determine important changes in specific functions and technological properties of inner egg compartments. We here used integrated peptidomic procedures to identify peptide markers of egg freshness. At first, peptides extracted from egg white and yolk plasma taken from eggs stored for different times were subjected to a label-free untargeted quantitation procedure based on nanoLC-ESI-Q-Orbitrap-MS/MS, which identified 836 and 1974 unique variable molecules, respectively. By applying stringent criteria for filtering data, 30 and 66 putative egg aging markers were selected for egg white and yolk plasma, respectively. Proposed molecules were then validated through a targeted label-free parallel reaction monitoring procedure based on nanoLC-ESI-Q-Orbitrap-MS/MS, confirming quantitative trends for 19 and 25 peptides in egg white and yolk plasma, respectively, and generating a robust panel of egg storage markers. Quantitative results reflected physico-chemical phenomena occurring in egg compartments during storage and offered essential information for the development of novel control procedures to assess quality features of fresh/stored raw material.
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Affiliation(s)
- Giovanni Renzone
- Proteomics & Mass Spectrometry Laboratory, ISPAAM, National Research Council, Naples 80147, Italy
| | - Gianfranco Novi
- Proteomics & Mass Spectrometry Laboratory, ISPAAM, National Research Council, Naples 80147, Italy
| | - Andrea Scaloni
- Proteomics & Mass Spectrometry Laboratory, ISPAAM, National Research Council, Naples 80147, Italy.
| | - Simona Arena
- Proteomics & Mass Spectrometry Laboratory, ISPAAM, National Research Council, Naples 80147, Italy.
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12
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Chromatography hyphenated to high resolution mass spectrometry in untargeted metabolomics for investigation of food (bio)markers. Trends Analyt Chem 2021. [DOI: 10.1016/j.trac.2020.116161] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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13
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Tan W, Zhang Q, Yang L, Tian L, Jia J, Lu M, Liu X, Duan X. Actual time determination of egg freshness: A centroid rate based approach. Food Packag Shelf Life 2020. [DOI: 10.1016/j.fpsl.2020.100574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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14
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Cavanna D, Hurkova K, Džuman Z, Serani A, Serani M, Dall’Asta C, Tomaniova M, Hajslova J, Suman M. A Non-Targeted High-Resolution Mass Spectrometry Study for Extra Virgin Olive Oil Adulteration with Soft Refined Oils: Preliminary Findings from Two Different Laboratories. ACS OMEGA 2020; 5:24169-24178. [PMID: 33015432 PMCID: PMC7528164 DOI: 10.1021/acsomega.0c00346] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Accepted: 05/21/2020] [Indexed: 05/16/2023]
Abstract
This work presents a non-targeted high-resolution mass spectrometry inter-laboratory study for the detection of new chemical markers responsible of soft refined oils addition to extra virgin olive oils. Refined oils (soft deodorized and soft deacidified) were prepared on a laboratory scale starting from low-quality olive oils and analyzed together with a set of pure extra virgin olive oil (EVOO) samples and with mixtures of adulterated and pure EVOO at different percentages. The same analytical workflow was applied in two different laboratories equipped with two types of instrumentation (Q-Orbitrap and Q-TOF); a group of discriminant molecules was selected, and a tentative identification of compounds was also proposed. In summary, 12 molecules were identified as markers of this specific adulteration, and seven of them were selected as discriminative in both the laboratories, with a similar trend throughout the samples (i.e., propylene glycol 1 stearate). The results obtained in the two laboratories are comparable, concretely demonstrating the inter-laboratory repeatability of non-targeted studies. As a confirmation, the same markers were detected also in "in-house" mixtures and in suspect commercial deodorized mixtures, reinforcing the robustness of the results obtained and proving that, thanks to these molecules, mixtures containing at least 40% of adulterated oils can be detected.
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Affiliation(s)
- Daniele Cavanna
- Advanced
Laboratory Research, Barilla G. e R. Fratelli S.p.A., Via Mantova, 166-43122 Parma, Italy
- Department
of Food and Drug, University of Parma, Parco Area delle Scienze 95/A, 43124 Parma, Italy
| | - Kamila Hurkova
- Department
of Food Analysis and Nutrition, University
of Chemistry and Technology, Prague, Technicka 3, 166 28 Prague, Czech Republic
| | - Zbyněk Džuman
- Department
of Food Analysis and Nutrition, University
of Chemistry and Technology, Prague, Technicka 3, 166 28 Prague, Czech Republic
| | - Andrea Serani
- COTECA
Srl Consulenze Tecniche agroindustriali, 56121 Pisa, Italy
| | - Matteo Serani
- COTECA
Srl Consulenze Tecniche agroindustriali, 56121 Pisa, Italy
| | - Chiara Dall’Asta
- Department
of Food and Drug, University of Parma, Parco Area delle Scienze 95/A, 43124 Parma, Italy
| | - Monika Tomaniova
- Department
of Food Analysis and Nutrition, University
of Chemistry and Technology, Prague, Technicka 3, 166 28 Prague, Czech Republic
| | - Jana Hajslova
- Department
of Food Analysis and Nutrition, University
of Chemistry and Technology, Prague, Technicka 3, 166 28 Prague, Czech Republic
| | - Michele Suman
- Advanced
Laboratory Research, Barilla G. e R. Fratelli S.p.A., Via Mantova, 166-43122 Parma, Italy
- . Tel: +39-0521-
262332
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15
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Yan XT, Zhang Y, Zhou Y, Li GH, Feng XS. Technical Overview of Orbitrap High Resolution Mass Spectrometry and Its Application to the Detection of Small Molecules in Food (Update Since 2012). Crit Rev Anal Chem 2020; 52:593-626. [PMID: 32880479 DOI: 10.1080/10408347.2020.1815168] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Food safety and quality issues are becoming increasingly important and attract much attention, requiring the development of better analytical platforms. For example, high-resolution (especially Orbitrap) mass spectrometry simultaneously offers versatile functions such as targeted/non-targeted screening while providing qualitative and quantitative information on an almost unlimited number of analytes to facilitate routine analysis and even allows for official surveillance in the food field. This review covers the current state of Orbitrap mass spectrometry (OMS) usage in food analysis based on research reported in 2012-2019, particularly highlighting the technical aspects of OMS application and the achievement of OMS-based screening and quantitative analysis in the food field. The gained insights enhance our understanding of state-of-the-art high-resolution mass spectrometry and highlight the challenges and directions of future research.
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Affiliation(s)
- Xiao-Ting Yan
- School of Pharmacy, China Medical University, Shenyang, China
| | - Yuan Zhang
- Department of Pharmacy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yu Zhou
- Department of Pharmacy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Guo-Hui Li
- Department of Pharmacy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xue-Song Feng
- School of Pharmacy, China Medical University, Shenyang, China
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16
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A non-targeted high-resolution mass spectrometry approach for the assessment of the geographical origin of durum wheat. Food Chem 2020; 317:126366. [DOI: 10.1016/j.foodchem.2020.126366] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Revised: 02/03/2020] [Accepted: 02/04/2020] [Indexed: 12/14/2022]
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17
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Evaluation of chemical indices for the identification of incubator-reject eggs in egg products. Food Control 2020. [DOI: 10.1016/j.foodcont.2019.106767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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18
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Campmajó G, Cayero L, Saurina J, Núñez O. Classification of Hen Eggs by HPLC-UV Fingerprinting and Chemometric Methods. Foods 2019; 8:foods8080310. [PMID: 31374995 PMCID: PMC6723454 DOI: 10.3390/foods8080310] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Revised: 07/23/2019] [Accepted: 07/29/2019] [Indexed: 12/05/2022] Open
Abstract
Hen eggs are classified into four groups according to their production method: Organic, free-range, barn, or caged. It is known that a fraudulent practice is the misrepresentation of a high-quality egg with a lower one. In this work, high-performance liquid chromatography with ultraviolet detection (HPLC-UV) fingerprints were proposed as a source of potential chemical descriptors to achieve the classification of hen eggs according to their labelled type. A reversed-phase separation was optimized to obtain discriminant enough chromatographic fingerprints, which were subsequently processed by means of principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA). Particular trends were observed for organic and caged hen eggs by PCA and, as expected, these groupings were improved by PLS-DA. The applicability of the method to distinguish egg manufacturer and size was also studied by PLS-DA, observing variations in the HPLC-UV fingerprints in both cases. Moreover, the classification of higher class eggs, in front of any other with one lower, and hence cheaper, was studied by building paired PLS-DA models, reaching a classification rate of at least 82.6% (100% for organic vs. non-organic hen eggs) and demonstrating the suitability of the proposed method.
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Affiliation(s)
- Guillem Campmajó
- Department of Chemical Engineering and Analytical Chemistry, University of Barcelona, Martí i Franquès 1-11, E08028 Barcelona, Spain.
| | - Laura Cayero
- Department of Chemical Engineering and Analytical Chemistry, University of Barcelona, Martí i Franquès 1-11, E08028 Barcelona, Spain
| | - Javier Saurina
- Department of Chemical Engineering and Analytical Chemistry, University of Barcelona, Martí i Franquès 1-11, E08028 Barcelona, Spain
- Research Institute in Food Nutrition and Food Safety, University of Barcelona, Recinte Torribera, Av. Prat de la Riba 171, Edifici de Recerca (Gaudí), Santa Coloma de Gramenet, E08921 Barcelona, Spain
| | - Oscar Núñez
- Department of Chemical Engineering and Analytical Chemistry, University of Barcelona, Martí i Franquès 1-11, E08028 Barcelona, Spain
- Research Institute in Food Nutrition and Food Safety, University of Barcelona, Recinte Torribera, Av. Prat de la Riba 171, Edifici de Recerca (Gaudí), Santa Coloma de Gramenet, E08921 Barcelona, Spain
- Serra Húnter Fellow, Generalitat de Catalunya, Rambla de Catalunya 19-21, E08007 Barcelona, Spain
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