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Yuan L, Meng X, Xin K, Ju Y, Zhang Y, Yin C, Hu L. A comparative study on classification of edible vegetable oils by infrared, near infrared and fluorescence spectroscopy combined with chemometrics. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2023; 288:122120. [PMID: 36473296 DOI: 10.1016/j.saa.2022.122120] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2022] [Revised: 11/07/2022] [Accepted: 11/11/2022] [Indexed: 06/17/2023]
Abstract
Driven by economic benefits like any other foods, vegetable oil has long been plagued by mislabeling and adulteration. Many studies have addressed the field of classification and identification of vegetable oils by various analysis techniques, especially spectral analysis. A comparative study was performed using Fourier transform infrared spectroscopy (FTIR), visible near-infrared spectroscopy (Vis-NIR) and excitation-emission matrix fluorescence spectroscopy (EEMs) combined with chemometrics to distinguish different types of edible vegetable oils. FTIR, Vis-NIR and EEMs datasets of 147 samples of five vegetable oils from different brands were analyzed. Two types of pattern recognition methods, principal component analysis (PCA)/multi-way principal component analysis (M-PCA) and partial least squares discriminant analysis (PLS-DA)/multilinear partial least squares discriminant analysis (N-PLS-DA), were used to resolve these data and distinguish vegetable oil types, respectively. PCA/M-PCA analysis exhibited that three spectral data of five vegetable oils showed a clustering trend. The total correct recognition rate of the training set and prediction set of FTIR spectra of vegetable oil based on PLS-DA method are 100%. The total recognition rate of Vis-NIR based on PLS-DA are 100% and 97.96%. However, the total correct recognition rate of training set and prediction set of EEMs data based on N-PLS-DA method is 69.39% and 75.51%, respectively. The comparative study showed that FTIR and Vis-NIR combined with chemometrics were more suitable for vegetable oil species identification than EEMs technique. The reason may be concluded that almost all chemical components in vegetable oil can produce FTIR and NIR absorption, while only a small amount of fluorophores can produce fluorescence. That is, FTIR and NIR can provide more spectral information than EEMs. Analysis of EEMs data using self-weighted alternating trilinear decomposition (SWATLD) also showed that fluorophores were a few and irregularly distributed in vegetable oils.
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Affiliation(s)
- Libo Yuan
- School of Chemistry and Chemical Engineering, Henan University of Technology, Zhengzhou 450001, China
| | - Xiangru Meng
- School of Chemistry and Chemical Engineering, Henan University of Technology, Zhengzhou 450001, China
| | - Kehui Xin
- School of Chemistry and Chemical Engineering, Henan University of Technology, Zhengzhou 450001, China
| | - Ying Ju
- School of Chemistry and Chemical Engineering, Henan University of Technology, Zhengzhou 450001, China
| | - Yan Zhang
- School of Chemistry and Chemical Engineering, Henan University of Technology, Zhengzhou 450001, China
| | - Chunling Yin
- School of Chemistry and Chemical Engineering, Henan University of Technology, Zhengzhou 450001, China
| | - Leqian Hu
- School of Chemistry and Chemical Engineering, Henan University of Technology, Zhengzhou 450001, China.
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A Pioneering Study on the Recovery of Valuable Functional Compounds from Olive Pomace by using Supercritical Carbon Dioxide Extraction: Comparison of Perlite Addition and Drying. Sep Purif Technol 2022. [DOI: 10.1016/j.seppur.2022.122593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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Morgan J, Salcedo-Sora JE, Wagner I, Beynon RJ, Triana-Chavez O, Strode C. Rapid Evaporative Ionization Mass Spectrometry (REIMS): a Potential and Rapid Tool for the Identification of Insecticide Resistance in Mosquito Larvae. JOURNAL OF INSECT SCIENCE (ONLINE) 2022; 22:5. [PMID: 36082679 PMCID: PMC9459442 DOI: 10.1093/jisesa/ieac052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Indexed: 06/15/2023]
Abstract
Insecticide resistance is a significant challenge facing the successful control of mosquito vectors globally. Bioassays are currently the only method for phenotyping resistance. They require large numbers of mosquitoes for testing, the availability of a susceptible comparator strain, and often insectary facilities. This study aimed to trial the novel use of rapid evaporative ionization mass spectrometry (REIMS) for the identification of insecticide resistance in mosquitoes. No sample preparation is required for REIMS and analysis can be rapidly conducted within hours. Temephos resistant Aedes aegypti (Linnaeus) larvae from Cúcuta, Colombia and temephos susceptible larvae from two origins (Bello, Colombia, and the lab reference strain New Orleans) were analyzed using REIMS. We tested the ability of REIMS to differentiate three relevant variants: population source, lab versus field origin, and response to insecticide. The classification of these data was undertaken using linear discriminant analysis (LDA) and random forest. Classification models built using REIMS data were able to differentiate between Ae. aegypti larvae from different populations with 82% (±0.01) accuracy, between mosquitoes of field and lab origin with 89% (±0.01) accuracy and between susceptible and resistant larvae with 85% (±0.01) accuracy. LDA classifiers had higher efficiency than random forest with this data set. The high accuracy observed here identifies REIMS as a potential new tool for rapid identification of resistance in mosquitoes. We argue that REIMS and similar modern phenotyping alternatives should complement existing insecticide resistance management tools.
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Affiliation(s)
- Jasmine Morgan
- Department of Biology, Edge Hill University, Ormskirk, Lancashire, L39 4QP, UK
| | | | - Iris Wagner
- Centre for Proteome Research, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Crown Street, Liverpool L69 7ZB, UK
| | - Robert J Beynon
- Centre for Proteome Research, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Crown Street, Liverpool L69 7ZB, UK
| | - Omar Triana-Chavez
- Instituto de Biología, Facultad de Ciencias Exactas y Naturales (FCEN), University of Antioquia, Medellín, Colombia
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Qualitative and Quantitative Detection of Monofloral, Polyfloral, and Honeydew Honeys Adulteration by Employing Mid-Infrared Spectroscopy and Chemometrics. FOOD ANAL METHOD 2022. [DOI: 10.1007/s12161-022-02266-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Esposito G, Sciuto S, Cocco C, Ru G, Acutis PL. Development of a screening method to rapidly discriminate extravirgin olive oil from other edible vegetable oil by means of direct sample analysis with high resolution mass spectrometry. JOURNAL OF FOOD SCIENCE AND TECHNOLOGY 2022; 59:686-692. [PMID: 35153311 PMCID: PMC8814155 DOI: 10.1007/s13197-021-05063-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Revised: 02/22/2021] [Accepted: 03/10/2021] [Indexed: 02/03/2023]
Abstract
Extra virgin olive oil is the highest quality olive oil mainly due to its beneficial constituents and nutritional properties. However, olive oil adulteration is a common fraudulent practice by deliberate mislabelling of less expensive oil categories and admixing expensive olive oils with low oils. To protect consumers from such commercial frauds, an easy and fast method to detect the real composition of oil is needed. For this study we used direct sampling analysis (DSA) coupled with a high-resolution mass spectrometer (AxION2 TOF Perkin Elmer) to analyse the fatty acid composition of three types of edible oil: extra virgin olive oil, refined olive oil and seed oil (EVOO, ROO, and SO respectively) to find a marker that could distinguish between them. Good precision in repeatability and reproducibility (RSD% < 15%) was obtained. The fatty acid ratio between the oleic acid/oleic acid dimer was able to distinguish EVOO from the other two types of oil, while the ratio between linoleic and oleic acid was found to discriminate refined oil from seed oil. The development of an easy, fast and cost-effective method can help to limit commercial frauds, increase the number of controlled samples, and enhance food control along the commercial chain. SUPPLEMENTARY INFORMATION The online version contains supplementary material available at 10.1007/s13197-021-05063-y.
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Affiliation(s)
- Giovanna Esposito
- grid.425427.20000 0004 1759 3180Istituto Zooprofilattico Sperimentale del Piemonte, Liguria E Valle D’Aosta, Via Bologna 148, 10154 Torino, Italy
| | - Simona Sciuto
- grid.425427.20000 0004 1759 3180Istituto Zooprofilattico Sperimentale del Piemonte, Liguria E Valle D’Aosta, Via Bologna 148, 10154 Torino, Italy
| | - Cinzia Cocco
- grid.425427.20000 0004 1759 3180Istituto Zooprofilattico Sperimentale del Piemonte, Liguria E Valle D’Aosta, Via Bologna 148, 10154 Torino, Italy
| | - Giuseppe Ru
- grid.425427.20000 0004 1759 3180Istituto Zooprofilattico Sperimentale del Piemonte, Liguria E Valle D’Aosta, Via Bologna 148, 10154 Torino, Italy
| | - Pier Luigi Acutis
- grid.425427.20000 0004 1759 3180Istituto Zooprofilattico Sperimentale del Piemonte, Liguria E Valle D’Aosta, Via Bologna 148, 10154 Torino, Italy
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Newly marketed seed oils. What we can learn from the current status of authentication of edible oils. Food Control 2021. [DOI: 10.1016/j.foodcont.2021.108349] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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Ramirez-Montes S, Santos EM, Galan-Vidal CA, Tavizon-Pozos JA, Rodriguez JA. Classification of Edible Vegetable Oil Degradation Using Multivariate Data Analysis From Electrochemical Techniques. FOOD ANAL METHOD 2021. [DOI: 10.1007/s12161-021-02083-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Heidari M, Talebpour Z, Abdollahpour Z, Adib N, Ghanavi Z, Aboul-Enein HY. Discrimination between vegetable oil and animal fat by a metabolomics approach using gas chromatography-mass spectrometry combined with chemometrics. JOURNAL OF FOOD SCIENCE AND TECHNOLOGY 2020; 57:3415-3425. [PMID: 32728289 PMCID: PMC7374695 DOI: 10.1007/s13197-020-04375-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Revised: 03/14/2020] [Accepted: 03/27/2020] [Indexed: 10/24/2022]
Abstract
Adulteration of olive oil with the other cheap oils and fats plays an important role in economics and has nutritional benefits. In this work, metabolite profiling was performed using gas chromatography-mass spectrometry to identify and quantify animal fat (lard) adulteration in vegetable oil (olive oil). Principal component analysis could correctly identify and clustering olive oil, sunflower oil, sesame oil, lard, and adulterated samples through the changes in their fatty acid methyl esters (FAMEs) profile. A targeted metabolomics method was then optimized and validated through construction of calibration curves of known FAMSs in olive oil and lard. The method was presented high linearity (R2 > 0.96) and good intra and inter day accuracy and precision (79-101 and 86-102% and 2-7 and 3-7, respectively) for determination of FAMEs. Afterwards the absolute concentration and relative percentage of FAMEs were successfully determined in 12 commercial olive oils and 3 lards samples. Methyl myristate, methyl palmitate, methyl oleate, and methyl stearate were selected as discriminant markers to identify and quantify lard adulteration even at a low level of lard (5%w/w), with errors less than 2% in the comparison of the absolute or relative concentrations of FAMEs using several statistical methods. The proposed methodology allowed us to quantify the FAMEs simultaneously and also could predict small amount of lard in the adulterated olive oil samples.
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Affiliation(s)
- Mahsa Heidari
- Department of Chemistry, Faculty of Physics and Chemistry, Alzahra University, Vanak, Tehran, Iran
| | - Zahra Talebpour
- Department of Chemistry, Faculty of Physics and Chemistry, Alzahra University, Vanak, Tehran, Iran
| | - Ziba Abdollahpour
- Department of Chemistry, Faculty of Physics and Chemistry, Alzahra University, Vanak, Tehran, Iran
| | | | - Zohre Ghanavi
- Iranian National Standards Organization, Standard Square, Karaj, Alborz Iran
| | - Hassan Y Aboul-Enein
- Pharmaceutical and Medicinal Chemistry Department, Pharmaceutical and Drug Industries Research Division, National Research Centre, Dokki, Giza, 12662 Egypt
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Arslan FN, Akin G, Karuk Elmas ŞN, Üner B, Yilmaz I, Janssen HG, Kenar A. FT-IR spectroscopy with chemometrics for rapid detection of wheat flour adulteration with barley flour. J Verbrauch Lebensm 2020. [DOI: 10.1007/s00003-019-01267-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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