1
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Uttl L, Bechynska K, Ehlers M, Kadlec V, Navratilova K, Dzuman Z, Fauhl-Hassek C, Hajslova J. Critical assessment of chemometric models employed for varietal authentication of wine based on UHPLC-HRMS data. Food Control 2023. [DOI: 10.1016/j.foodcont.2022.109336] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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2
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Pajuelo A, Sánchez S, Pérez-Palacios T, Caballero D, Díaz J, Antequera T, Marcos CF. 1H NMR to analyse the lipid profile in the glyceride fraction of different categories of Iberian dry-cured hams. Food Chem 2022; 383:132371. [PMID: 35176716 DOI: 10.1016/j.foodchem.2022.132371] [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: 09/30/2021] [Revised: 01/20/2022] [Accepted: 02/04/2022] [Indexed: 11/30/2022]
Abstract
The extraordinary organoleptic qualities of Iberian ham derive from the singular producing pig breed and from the traditional rearing conditions, both of which define its lipid content and composition. In this work 1H NMR spectroscopy is used for the first time to analyse the lipid profile of Iberian hams as determinant of quality. Quantification of fatty acids is readily obtained from the spectra, with the monounsaturated fatty acids standing out, especially in the higher quality hams. Unprecedently, triacylglyceride hydrolysis products formed during the curing process can also be directly detected and quantified. Furthermore, chemometric analysis of the NMR data allows to classify Iberian hams according to the pig's crossbreed and feeding regime. Principal component analysis shows fatty acid unsaturation and triacylglyceride hydrolysis as discriminating variables. 1H NMR spectroscopy has thus revealed as a convenient and powerful tool for the lipid analysis and classification of Iberian hams and for detection of fraud.
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Affiliation(s)
- Abraham Pajuelo
- Institute of Meat and Meat Products, Universidad de Extremadura, Cáceres 10003, Spain; Laboratory of Bioorganic Chemistry & Membrane Biophysics (L.O.B.O.), Universidad de Extremadura, Cáceres 10003, Spain
| | - Soledad Sánchez
- Institute of Meat and Meat Products, Universidad de Extremadura, Cáceres 10003, Spain
| | | | - Daniel Caballero
- Institute of Meat and Meat Products, Universidad de Extremadura, Cáceres 10003, Spain
| | - Jesús Díaz
- Laboratory of Bioorganic Chemistry & Membrane Biophysics (L.O.B.O.), Universidad de Extremadura, Cáceres 10003, Spain
| | - Teresa Antequera
- Institute of Meat and Meat Products, Universidad de Extremadura, Cáceres 10003, Spain
| | - Carlos F Marcos
- Laboratory of Bioorganic Chemistry & Membrane Biophysics (L.O.B.O.), Universidad de Extremadura, Cáceres 10003, Spain.
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3
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Wu H, Tian L, Chen B, Jin B, Tian B, Xie L, Rogers KM, Lin G. Verification of imported red wine origin into China using multi isotope and elemental analyses. Food Chem 2019; 301:125137. [PMID: 31362191 DOI: 10.1016/j.foodchem.2019.125137] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Revised: 07/04/2019] [Accepted: 07/05/2019] [Indexed: 12/20/2022]
Abstract
Multi-isotope and multi-elemental analyses were performed on 600 red wine samples imported into China from 7 different countries and compared with Chinese wine. Carbon and oxygen isotopes and 16 elements were used to determine origin traceability. Our goal was to build a classification tool using data modeling that can verify the geographic origin of wines imported into China. Multivariate analyses of the isotopic and elemental data revealed that it is possible to determine the geographical origin for most imported wines with a high level of confidence (>90%). The results show that Artificial Neural Network method had a high discrimination accuracy and is more suitable than Discrimination Analysis and Random Forest methods when it comes to classifying wine origin on a global scale. In conclusion, stable isotope and trace element analyses followed by multivariate processing of the data is a fast and efficient technique suitable for global wine traceability.
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Affiliation(s)
- Hao Wu
- Food Inspection and Quarantine Center, Shenzhen Customs, Shenzhen 518000, China
| | - Ling Tian
- Management College, Shenzhen Polytechnic, Shenzhen 518055, China
| | - Bo Chen
- Food Inspection and Quarantine Center, Shenzhen Customs, Shenzhen 518000, China
| | - Baohui Jin
- Food Inspection and Quarantine Center, Shenzhen Customs, Shenzhen 518000, China
| | - Bin Tian
- Faculty of Agriculture and Life Sciences, Lincoln University, Lincoln 7647, New Zealand
| | - Liqi Xie
- Food Inspection and Quarantine Center, Shenzhen Customs, Shenzhen 518000, China
| | - Karyne M Rogers
- National Isotope Centre, GNS Science, Lower Hutt 5040, New Zealand
| | - Guanghui Lin
- Department of Earth System Science, Tsinghua University, Beijing 100084, China; Graduate School at Shenzhen, Tsinghua University, Shenzhen, Guangdong 518055, China.
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4
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Philippidis A, Poulakis E, Basalekou M, Strataridaki A, Kallithraka S, Velegrakis M. Characterization of Greek Wines by Ultraviolet–Visible Absorption Spectroscopy and Statistical Multivariate Methods. ANAL LETT 2017. [DOI: 10.1080/00032719.2016.1255748] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Aggelos Philippidis
- Foundation for Research and Technology-Hellas (IESL-FORTH), Institute of Electronic Structure and Laser, Heraklion, Crete, Greece
| | - Emmanouil Poulakis
- Foundation for Research and Technology-Hellas (IESL-FORTH), Institute of Electronic Structure and Laser, Heraklion, Crete, Greece
- Department of Chemistry, University of Crete, Heraklion, Crete, Greece
| | - Marianthi Basalekou
- Department of Food Science and Human Nutrition, Laboratory of Oenology, Agricultural University of Athens, Athens, Greece
| | - Argiro Strataridaki
- School of Agricultural Technology, Technological and Educational Institute of Crete, Heraklion, Crete, Greece
| | - Stamatina Kallithraka
- Department of Food Science and Human Nutrition, Laboratory of Oenology, Agricultural University of Athens, Athens, Greece
| | - Michalis Velegrakis
- Foundation for Research and Technology-Hellas (IESL-FORTH), Institute of Electronic Structure and Laser, Heraklion, Crete, Greece
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Tasic L, de Moraes Pontes JG, de Souza RN, Brasil AJM, de Faria Cruz GC, Asevedo E, Mas CD, Poppi RJ, Brietzke E, Hayashi MAF, Lacerda ALT. NMR Spectroscopy Metabolomics Applied to Crack Cocaine Users and Patients with Schizophrenia: Similar Behavior but Different Molecular Causes. ChemistrySelect 2017. [DOI: 10.1002/slct.201700009] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Affiliation(s)
- Ljubica Tasic
- Department of Organic Chemistry; Chemistry Institute, Laboratório de Química Biológica, UNICAMP; Campinas, SP P.O. Box 6154 13083-970 Brazil
| | - João Guilherme de Moraes Pontes
- Department of Organic Chemistry; Chemistry Institute, Laboratório de Química Biológica, UNICAMP; Campinas, SP P.O. Box 6154 13083-970 Brazil
| | - Rafael Nogueira de Souza
- Department of Organic Chemistry; Chemistry Institute, Laboratório de Química Biológica, UNICAMP; Campinas, SP P.O. Box 6154 13083-970 Brazil
| | - Antonio Jadson Marreiro Brasil
- Department of Organic Chemistry; Chemistry Institute, Laboratório de Química Biológica, UNICAMP; Campinas, SP P.O. Box 6154 13083-970 Brazil
| | - Guilherme Crispim de Faria Cruz
- Department of Organic Chemistry; Chemistry Institute, Laboratório de Química Biológica, UNICAMP; Campinas, SP P.O. Box 6154 13083-970 Brazil
| | - Elson Asevedo
- Department of Psychiatry; UNIFESP; São Paulo, SP Brazil
| | | | - Ronei Jesus Poppi
- Department of Analytical Chemistry; Chemistry Institute, Laboratório de Quimiometria em Química Analítica, UNICAMP; Campinas, SP Brazil
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