1
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Wu X, Du Z, Ma R, Zhang X, Yang D, Liu H, Zhang Y. Qualitative and quantitative studies of phthalates in extra virgin olive oil (EVOO) by surface-enhanced Raman spectroscopy (SERS) combined with long short term memory (LSTM) neural network. Food Chem 2024; 433:137300. [PMID: 37657163 DOI: 10.1016/j.foodchem.2023.137300] [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: 01/15/2023] [Revised: 08/13/2023] [Accepted: 08/25/2023] [Indexed: 09/03/2023]
Abstract
Phthalates are commonly used plasticizers in the plastics industry, and have received extensive attention due to their reproductive toxicity. Since phthalates are lipophilic solutions, phthalates can easily migrate from packaging to edible oils. This study synthesized stable and sensitive Gold Nanostars as SERS substrates to conduct qualitative and quantitative analysis of two common phthalates, dibutyl phthalate and di(2-ethylhexyl) phthalate. Two ethanol standard solutions and actual oil solutions of phthalates at different concentrations (10, 5, 1, 0.5, 0.1, 0.02 mg/kg) were prepared. After dimension reduction, LSTM achieved the accuracy of 98% for pure EVOO and EVOO adulterated with different types of phthalates. In terms of quantification, LSTM demonstrates great predictive performance with Rp2 greater than 0.97 and the ratio of performance to deviation greater than 5. These results have certain guiding significance for the analysis of plasticizers in edible oil.
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Affiliation(s)
- Xijun Wu
- Measurement Technology & Instrumentation Key Laboratory of Hebei Province, Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004 China
| | - Zherui Du
- Measurement Technology & Instrumentation Key Laboratory of Hebei Province, Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004 China.
| | - Renqi Ma
- Measurement Technology & Instrumentation Key Laboratory of Hebei Province, Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004 China.
| | - Xin Zhang
- Measurement Technology & Instrumentation Key Laboratory of Hebei Province, Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004 China
| | - Daolin Yang
- Measurement Technology & Instrumentation Key Laboratory of Hebei Province, Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004 China
| | - Hailong Liu
- Measurement Technology & Instrumentation Key Laboratory of Hebei Province, Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004 China
| | - Yungang Zhang
- Measurement Technology & Instrumentation Key Laboratory of Hebei Province, Institute of Electrical Engineering, Yanshan University, Qinhuangdao 066004 China
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2
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Quintanilla-Casas B, Torres-Cobos B, Guardiola F, Servili M, Alonso-Salces RM, Valli E, Bendini A, Toschi TG, Vichi S, Tres A. Geographical authentication of virgin olive oil by GC-MS sesquiterpene hydrocarbon fingerprint: Verifying EU and single country label-declaration. Food Chem 2022; 378:132104. [PMID: 35078099 DOI: 10.1016/j.foodchem.2022.132104] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Revised: 12/31/2021] [Accepted: 01/05/2022] [Indexed: 12/28/2022]
Abstract
According to the last report from the European Union (EU) Food Fraud Network, olive oil tops the list of the most notified products. Current EU regulation states geographical origin as mandatory for virgin olive oils, even though an official analytical method is still lacking. Verifying the compliance of label-declared EU oils should be addressed with the highest priority level. Hence, the present work tackles this issue by developing a classification model (PLS-DA) based on the sesquiterpene hydrocarbon fingerprint of 400 samples obtained by HS-SPME-GC-MS to discriminate between EU and non-EU olive oils, obtaining an 89.6% of correct classification for the external validation (three iterations), with a sensitivity of 0.81 and a specificity of 0.95. Subsequently, multi-class discrimination models for EU and non-EU countries were developed and externally validated (with three different validation sets) with successful results (average of 92.2% of correct classification for EU and 96.0% for non-EU countries).
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Affiliation(s)
- Beatriz Quintanilla-Casas
- Departament de Nutrició, Ciències de l'Alimentació i Gastronomia, Campus de l'Alimentació Torribera, Facultat de Farmàcia i Ciències de l'Alimentació, Universitat de Barcelona. Av Prat de la Riba, 171. 08921 Santa Coloma de Gramenet, Spain; Institut de Recerca en Nutrició i Seguretat Alimentària (INSA-UB), Universitat de Barcelona. Av Prat de la Riba, 171. 08921 Santa Coloma de Gramenet, Spain
| | - Berta Torres-Cobos
- Departament de Nutrició, Ciències de l'Alimentació i Gastronomia, Campus de l'Alimentació Torribera, Facultat de Farmàcia i Ciències de l'Alimentació, Universitat de Barcelona. Av Prat de la Riba, 171. 08921 Santa Coloma de Gramenet, Spain; Institut de Recerca en Nutrició i Seguretat Alimentària (INSA-UB), Universitat de Barcelona. Av Prat de la Riba, 171. 08921 Santa Coloma de Gramenet, Spain
| | - Francesc Guardiola
- Departament de Nutrició, Ciències de l'Alimentació i Gastronomia, Campus de l'Alimentació Torribera, Facultat de Farmàcia i Ciències de l'Alimentació, Universitat de Barcelona. Av Prat de la Riba, 171. 08921 Santa Coloma de Gramenet, Spain; Institut de Recerca en Nutrició i Seguretat Alimentària (INSA-UB), Universitat de Barcelona. Av Prat de la Riba, 171. 08921 Santa Coloma de Gramenet, Spain
| | - Maurizio Servili
- Dipartimento di Scienze Agrarie, Alimentari ed Ambientali, Università di Perugia, Via San Costanzo S.n.c., 06126 Perugia, Italy
| | - Rosa Maria Alonso-Salces
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Departamento de Biología, Facultad de Ciencias Exactas y Naturales, Universidad Nacional de Mar del Plata (UNMdP), Funes 3350, 7600 Mar del Plata, Argentina
| | - Enrico Valli
- Dipartimento di Scienze e Tecnologie Agro-alimentari, Alma Mater Studiorum - Università di Bologna, Piazza Goidanich, 60, I-47521, Cesena, Italy
| | - Alessandra Bendini
- Dipartimento di Scienze e Tecnologie Agro-alimentari, Alma Mater Studiorum - Università di Bologna, Piazza Goidanich, 60, I-47521, Cesena, Italy
| | - Tullia Gallina Toschi
- Dipartimento di Scienze e Tecnologie Agro-alimentari, Alma Mater Studiorum - Università di Bologna, Piazza Goidanich, 60, I-47521, Cesena, Italy
| | - Stefania Vichi
- Departament de Nutrició, Ciències de l'Alimentació i Gastronomia, Campus de l'Alimentació Torribera, Facultat de Farmàcia i Ciències de l'Alimentació, Universitat de Barcelona. Av Prat de la Riba, 171. 08921 Santa Coloma de Gramenet, Spain; Institut de Recerca en Nutrició i Seguretat Alimentària (INSA-UB), Universitat de Barcelona. Av Prat de la Riba, 171. 08921 Santa Coloma de Gramenet, Spain.
| | - Alba Tres
- Departament de Nutrició, Ciències de l'Alimentació i Gastronomia, Campus de l'Alimentació Torribera, Facultat de Farmàcia i Ciències de l'Alimentació, Universitat de Barcelona. Av Prat de la Riba, 171. 08921 Santa Coloma de Gramenet, Spain; Institut de Recerca en Nutrició i Seguretat Alimentària (INSA-UB), Universitat de Barcelona. Av Prat de la Riba, 171. 08921 Santa Coloma de Gramenet, Spain
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3
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Lozano‐Castellón J, López‐Yerena A, Domínguez‐López I, Siscart‐Serra A, Fraga N, Sámano S, López‐Sabater C, Lamuela‐Raventós RM, Vallverdú‐Queralt A, Pérez M. Extra virgin olive oil: A comprehensive review of efforts to ensure its authenticity, traceability, and safety. Compr Rev Food Sci Food Saf 2022; 21:2639-2664. [DOI: 10.1111/1541-4337.12949] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 02/28/2022] [Accepted: 03/04/2022] [Indexed: 01/19/2023]
Affiliation(s)
- Julián Lozano‐Castellón
- Department of Nutrition, Food Science and Gastronomy, XIA, Faculty of Pharmacy and Food Sciences Institute of Nutrition and Food Safety (INSA‐UB) University of Barcelona Barcelona Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn) Instituto de Salud Carlos III (ISCIII) Madrid Spain
| | - Anallely López‐Yerena
- Department of Nutrition, Food Science and Gastronomy, XIA, Faculty of Pharmacy and Food Sciences Institute of Nutrition and Food Safety (INSA‐UB) University of Barcelona Barcelona Spain
| | - Inés Domínguez‐López
- Department of Nutrition, Food Science and Gastronomy, XIA, Faculty of Pharmacy and Food Sciences Institute of Nutrition and Food Safety (INSA‐UB) University of Barcelona Barcelona Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn) Instituto de Salud Carlos III (ISCIII) Madrid Spain
| | - Aina Siscart‐Serra
- Department of Nutrition, Food Science and Gastronomy, XIA, Faculty of Pharmacy and Food Sciences Institute of Nutrition and Food Safety (INSA‐UB) University of Barcelona Barcelona Spain
| | - Nathalia Fraga
- Department of Nutrition, Food Science and Gastronomy, XIA, Faculty of Pharmacy and Food Sciences Institute of Nutrition and Food Safety (INSA‐UB) University of Barcelona Barcelona Spain
| | - Samantha Sámano
- Department of Nutrition, Food Science and Gastronomy, XIA, Faculty of Pharmacy and Food Sciences Institute of Nutrition and Food Safety (INSA‐UB) University of Barcelona Barcelona Spain
| | - Carmen López‐Sabater
- Department of Nutrition, Food Science and Gastronomy, XIA, Faculty of Pharmacy and Food Sciences Institute of Nutrition and Food Safety (INSA‐UB) University of Barcelona Barcelona Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn) Instituto de Salud Carlos III (ISCIII) Madrid Spain
| | - Rosa M Lamuela‐Raventós
- Department of Nutrition, Food Science and Gastronomy, XIA, Faculty of Pharmacy and Food Sciences Institute of Nutrition and Food Safety (INSA‐UB) University of Barcelona Barcelona Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn) Instituto de Salud Carlos III (ISCIII) Madrid Spain
| | - Anna Vallverdú‐Queralt
- Department of Nutrition, Food Science and Gastronomy, XIA, Faculty of Pharmacy and Food Sciences Institute of Nutrition and Food Safety (INSA‐UB) University of Barcelona Barcelona Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn) Instituto de Salud Carlos III (ISCIII) Madrid Spain
| | - Maria Pérez
- Department of Nutrition, Food Science and Gastronomy, XIA, Faculty of Pharmacy and Food Sciences Institute of Nutrition and Food Safety (INSA‐UB) University of Barcelona Barcelona Spain
- Laboratory of Organic Chemistry, Faculty of Pharmacy and Food Sciences University of Barcelona Barcelona Spain
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4
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Windarsih A, Arsanti Lestari L, Erwanto Y, Rosiana Putri A, Irnawati, Ahmad Fadzillah N, Rahmawati N, Rohman A. Application of Raman Spectroscopy and Chemometrics for Quality Controls of Fats and Oils: A Review. FOOD REVIEWS INTERNATIONAL 2021. [DOI: 10.1080/87559129.2021.2014860] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Anjar Windarsih
- Research Division for Natural Product Technology (BPTBA), National Research and Innovation Agency (BRIN), Yogyakarta, 55861, Indonesia
- Center of Excellence Institute for Halal Industry & Systems (IHIS), Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - Lily Arsanti Lestari
- Center of Excellence Institute for Halal Industry & Systems (IHIS), Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - Yuny Erwanto
- Center of Excellence Institute for Halal Industry & Systems (IHIS), Universitas Gadjah Mada, Yogyakarta, Indonesia
- Division of Animal Products Technology, Faculty of Animal Science, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - Anggita Rosiana Putri
- Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - Irnawati
- Study Program of Pharmacy, Faculty of Pharmacy, Halu Oleo University, Kendari, Indonesia
| | - Nurrulhidayah Ahmad Fadzillah
- International Institute for Halal Research and Training (INHART), International Islamic University Malaysia (IIUM), Malaysia
| | - Nuning Rahmawati
- Medicinal Plant and Traditional Medicine, Research and Development Centre, Karanganyar, Indonesia
| | - Abdul Rohman
- Center of Excellence Institute for Halal Industry & Systems (IHIS), Universitas Gadjah Mada, Yogyakarta, Indonesia
- Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Universitas Gadjah Mada, Yogyakarta, Indonesia
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5
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Chemometric strategies for authenticating extra virgin olive oils from two geographically adjacent Catalan protected designations of origin. Microchem J 2021. [DOI: 10.1016/j.microc.2021.106611] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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6
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Sudhakar A, Chakraborty SK, Mahanti NK, Varghese C. Advanced techniques in edible oil authentication: A systematic review and critical analysis. Crit Rev Food Sci Nutr 2021; 63:873-901. [PMID: 34347552 DOI: 10.1080/10408398.2021.1956424] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Adulteration of edible substances is a potent contemporary food safety issue. Perhaps the overt concern derives from the fact that adulterants pose serious ill effects on human health. Edible oils are one of the most adulterated food products. Perpetrators are adopting ways and means that effectively masks the presence of the adulterants from human organoleptic limits and traditional oil adulteration detection techniques. This review embodies a detailed account of chemical, biosensors, chromatography, spectroscopy, differential scanning calorimetry, non-thermal plasma, dielectric spectroscopy research carried out in the area of falsification assessment of edible oils for the past three decades and a collection of patented oil adulteration detection techniques. The detection techniques reviewed have some advantages and certain limitations, chemical tests are simple; biosensors and nuclear magnetic resonance are rapid but have a low sensitivity; chromatography and spectroscopy are highly accurate with a deterring price tag; dielectric spectroscopy is rapid can be portable and has on-line compatibility; however, the results are susceptible to variation of electric current frequency and intrinsic factors (moisture, temperature, structural composition). This review paper can be useful for scientists or for knowledge seekers eager to be abreast with edible oil adulteration detection techniques.
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Affiliation(s)
- Anjali Sudhakar
- Agro Produce Processing Division, ICAR-Central Institute of Agricultural Engineering, Bhopal, India
| | - Subir Kumar Chakraborty
- Agro Produce Processing Division, ICAR-Central Institute of Agricultural Engineering, Bhopal, India
| | - Naveen Kumar Mahanti
- Agro Produce Processing Division, ICAR-Central Institute of Agricultural Engineering, Bhopal, India
| | - Cinu Varghese
- Rural Development Centre, Indian Institute of Technology, Kharagpur, India
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7
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The use of analytical techniques coupled with chemometrics for tracing the geographical origin of oils: A systematic review (2013-2020). Food Chem 2021; 366:130633. [PMID: 34332421 DOI: 10.1016/j.foodchem.2021.130633] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 06/14/2021] [Accepted: 07/16/2021] [Indexed: 11/20/2022]
Abstract
The global market for imported, high-quality priced foods has grown dramatically in the last decade, as consumers become more conscious of food originating from around the world. Many countries require the origin label of food to protect consumers need about true characteristics and origin. Regulatory authorities are looking for an extended and updated list of the analytical techniques for verification of authentic oils and to support law implementation. This review aims to introduce the efforts made using various analytical tools in combination with the multivariate analysis for the verification of the geographical origin of oils. The popular analytical tools have been discussed, and scientometric assessment that underlines research trends in geographical authentication and preferred journals used for dissemination has been indicated. Overall, we believe this article will be a good guideline for food industries and food quality control authority to assist in the selection of appropriate methods to authenticate oils.
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8
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Jurado-Campos N, Rodríguez-Gómez R, Arroyo-Manzanares N, Arce L. Instrumental Techniques to Classify Olive Oils according to Their Quality. Crit Rev Anal Chem 2021; 53:139-160. [PMID: 34260314 DOI: 10.1080/10408347.2021.1940829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
This review includes an update of the publications on quality classification of olive oils into extra, virgin or lampante olive oil categories. Nowadays, the official method to carry out this classification is time-consuming and, sometimes, it is not systematic and/or objective. It is based on conventional physicochemical analysis and on a sensorial tasting of olive oils carried out by a panel of experts. The aim of this review was to explore and give value to the alternative techniques reported in the bibliography to complement the current official methods established for that classification of olive oils. Specifically considered were non-separation and separation analytical techniques which could contribute to correctly classify olive oils according to their physicochemical and/or sensorial characteristics. An in-depth description has been written on the methods used to differentiate these three types of olive oils and the main advantages and disadvantages of the proposed procedures. The techniques here reviewed could be a real and fast option to complement or even substitute some of the analysis included in the official method. Finally, general trends and detected difficulties found to address this issue have been discussed throughout the article.
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Affiliation(s)
- Natividad Jurado-Campos
- Department of Analytical Chemistry, Institute of Fine Chemistry and Nanochemistry, International Agrifood Campus of Excellence (ceiA3), University of Córdoba, Córdoba, Spain
| | - Rocío Rodríguez-Gómez
- Department of Analytical Chemistry, Institute of Fine Chemistry and Nanochemistry, International Agrifood Campus of Excellence (ceiA3), University of Córdoba, Córdoba, Spain
| | - Natalia Arroyo-Manzanares
- Department of Analytical Chemistry, Faculty of Chemistry, Regional Campus of International Excellence "Campus Mare-Nostrum", University of Murcia, Murcia, Spain
| | - Lourdes Arce
- Department of Analytical Chemistry, Institute of Fine Chemistry and Nanochemistry, International Agrifood Campus of Excellence (ceiA3), University of Córdoba, Córdoba, Spain
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9
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Authentication of the Botanical and Geographical Origin and Detection of Adulteration of Olive Oil Using Gas Chromatography, Infrared and Raman Spectroscopy Techniques: A Review. Foods 2021; 10:foods10071565. [PMID: 34359435 PMCID: PMC8306465 DOI: 10.3390/foods10071565] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 07/01/2021] [Accepted: 07/02/2021] [Indexed: 01/18/2023] Open
Abstract
Olive oil is among the most popular supplements of the Mediterranean diet due to its high nutritional value. However, at the same time, because of economical purposes, it is also one of the products most subjected to adulteration. As a result, authenticity is an important issue of concern among authorities. Many analytical techniques, able to detect adulteration of olive oil, to identify its geographical and botanical origin and consequently guarantee its quality and authenticity, have been developed. This review paper discusses the use of infrared and Raman spectroscopy as candidate tools to examine the authenticity of olive oils. It also considers the volatile fraction as a marker to distinguish between different varieties and adulterated olive oils, using SPME combined with gas chromatography technique.
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10
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Dimitrakopoulou ME, Vantarakis A. Does Traceability Lead to Food Authentication? A Systematic Review from A European Perspective. FOOD REVIEWS INTERNATIONAL 2021. [DOI: 10.1080/87559129.2021.1923028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
| | - Apostolos Vantarakis
- Department of Public Health, Medical School, University of Patras, Patras, Greece
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11
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Wang J, Chen Q, Belwal T, Lin X, Luo Z. Insights into chemometric algorithms for quality attributes and hazards detection in foodstuffs using Raman/surface enhanced Raman spectroscopy. Compr Rev Food Sci Food Saf 2021; 20:2476-2507. [DOI: 10.1111/1541-4337.12741] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 02/08/2021] [Accepted: 02/23/2021] [Indexed: 12/12/2022]
Affiliation(s)
- Jingjing Wang
- College of Biosystems Engineering and Food Science, Key Laboratory of Agro‐Products Postharvest Handling of Ministry of Agriculture and Rural Affairs, Zhejiang Key Laboratory for Agri‐Food Processing, National‐Local Joint Engineering Laboratory of Intelligent Food Technology and Equipment Zhejiang University Hangzhou People's Republic of China
| | - Quansheng Chen
- School of Food and Biological Engineering Jiangsu University Zhenjiang People's Republic of China
| | - Tarun Belwal
- College of Biosystems Engineering and Food Science, Key Laboratory of Agro‐Products Postharvest Handling of Ministry of Agriculture and Rural Affairs, Zhejiang Key Laboratory for Agri‐Food Processing, National‐Local Joint Engineering Laboratory of Intelligent Food Technology and Equipment Zhejiang University Hangzhou People's Republic of China
| | - Xingyu Lin
- College of Biosystems Engineering and Food Science, Key Laboratory of Agro‐Products Postharvest Handling of Ministry of Agriculture and Rural Affairs, Zhejiang Key Laboratory for Agri‐Food Processing, National‐Local Joint Engineering Laboratory of Intelligent Food Technology and Equipment Zhejiang University Hangzhou People's Republic of China
| | - Zisheng Luo
- College of Biosystems Engineering and Food Science, Key Laboratory of Agro‐Products Postharvest Handling of Ministry of Agriculture and Rural Affairs, Zhejiang Key Laboratory for Agri‐Food Processing, National‐Local Joint Engineering Laboratory of Intelligent Food Technology and Equipment Zhejiang University Hangzhou People's Republic of China
- Ningbo Research Institute Zhejiang University Ningbo People's Republic of China
- Fuli Institute of Food Science Hangzhou People's Republic of China
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12
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State-of-the-Art of Analytical Techniques to Determine Food Fraud in Olive Oils. Foods 2021; 10:foods10030484. [PMID: 33668346 PMCID: PMC7996354 DOI: 10.3390/foods10030484] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 02/13/2021] [Accepted: 02/18/2021] [Indexed: 12/26/2022] Open
Abstract
The benefits of the food industry compared to other sectors are much lower, which is why producers are tempted to commit fraud. Although it is a bad practice committed with a wide variety of foods, it is worth noting the case of olive oil because it is a product of great value and with a high percentage of fraud. It is for all these reasons that the authenticity of olive oil has become a major problem for producers, consumers, and legislators. To avoid such fraud, it is necessary to develop analytical techniques to detect them. In this review, we performed a complete analysis about the available instrumentation used in olive fraud which comprised spectroscopic and spectrometric methodology and analyte separation techniques such as liquid chromatography and gas chromatography. Additionally, other methodology including protein-based biomolecular techniques and analytical approaches like metabolomic, hhyperspectral imaging and chemometrics are discussed.
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13
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Zaroual H, Chénè C, El Hadrami EM, Karoui R. Application of new emerging techniques in combination with classical methods for the determination of the quality and authenticity of olive oil: a review. Crit Rev Food Sci Nutr 2021; 62:4526-4549. [DOI: 10.1080/10408398.2021.1876624] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Affiliation(s)
- Hicham Zaroual
- Université d'Artois, UMRT 1158 BioEcoAgro, ICV-Institut Charles VIOLLETTE, Lens, France
- Sidi Mohamed Ben Abdellah University, Applied Organic Chemistry Laboratory, Fez, Morocco
| | | | - El Mestafa El Hadrami
- Sidi Mohamed Ben Abdellah University, Applied Organic Chemistry Laboratory, Fez, Morocco
| | - Romdhane Karoui
- Université d'Artois, UMRT 1158 BioEcoAgro, ICV-Institut Charles VIOLLETTE, Lens, France
- INRA, USC 1281,Lille, France
- Yncréa, Lille, France
- University of the Littoral Opal Coast (ULCO), Boulogne sur Mer, France
- University of Lille, Lille, France
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15
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Wang X, Wang G, Hou X, Nie S. A Rapid Screening Approach for Authentication of Olive Oil and Classification of Binary Blends of Olive Oils Using Low-Field Nuclear Magnetic Resonance Spectra and Support Vector Machine. FOOD ANAL METHOD 2020. [DOI: 10.1007/s12161-020-01799-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
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16
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Olive Oils Classification via Laser-Induced Breakdown Spectroscopy. APPLIED SCIENCES-BASEL 2020. [DOI: 10.3390/app10103462] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
The classification of olive oils and the authentication of their geographic origin are important issues for public health and for the olive oil market and related industry. The development of fast, easy to use, suitable for on-line, in-situ and remote operation techniques for olive oils classification is of high interest. In the present work, 36 olive oils from different places in Crete, Greece, are studied using a laser-based technique, Laser-Induced Breakdown Spectroscopy (LIBS), assisted by machine learning algorithms, aiming to classify them in terms of their geographical origin. The excellent classification results obtained demonstrate the great potential of LIBS, which is further extended by the use of machine learning.
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17
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Farfán-García ED, Abad-García A, Alatorre A, Pérez-Capistran T, Querejeta E, Soriano-Ursúa MA. Olive oil limited motor disruption and neuronal damage in parkinsonism induced by MPTP administration. TOXICOLOGY RESEARCH AND APPLICATION 2020. [DOI: 10.1177/2397847320922939] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Some vegetable oils show beneficial effects in modulating neurodegeneration; in this work, we evaluated the therapeutic potential of corn and olive oils against neurodegenerative processes using the acute parkinsonism murine model induced by 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) in C57BL6 mice. The effects of corn and olive oils were quantified by the performance of mice in the open field and rotarod, and grasp strength tests and neuronal survival in the substantia nigra and striatum were determined by immunohistochemistry. Extra-virgin olive oil decreased the toxicity induced by MPTP administration judged by the performance in the behavioral motor tests and the number of total neurons in the analyzed brain regions. In contrast, corn oil only produced discrete changes in the behavioral and histological evaluations. Despite the numerous benefits of olive oil, its active substances that confer desirable effects and their mechanism of action remain unclear. Our observations can help to understand the ameliorative effects of some natural oils on neurodegeneration induced by some toxins, particularly the attenuation of neural damage related to toxin-induced parkinsonism or other pathologies that comprise neuronal death and motor disruption.
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Affiliation(s)
- Eunice D. Farfán-García
- Academia de Fisiología y Sección de Estudios de Posgrado e Investigación, Escuela Superior de Medicina, Instituto Politécnico Nacional, Plan de San Luis y Díaz Mirón, Mexico City, Mexico
| | - Antonio Abad-García
- Academia de Fisiología y Sección de Estudios de Posgrado e Investigación, Escuela Superior de Medicina, Instituto Politécnico Nacional, Plan de San Luis y Díaz Mirón, Mexico City, Mexico
| | - Alberto Alatorre
- Academia de Fisiología y Sección de Estudios de Posgrado e Investigación, Escuela Superior de Medicina, Instituto Politécnico Nacional, Plan de San Luis y Díaz Mirón, Mexico City, Mexico
| | - Teresa Pérez-Capistran
- Academia de Fisiología y Sección de Estudios de Posgrado e Investigación, Escuela Superior de Medicina, Instituto Politécnico Nacional, Plan de San Luis y Díaz Mirón, Mexico City, Mexico
| | - Enrique Querejeta
- Academia de Fisiología y Sección de Estudios de Posgrado e Investigación, Escuela Superior de Medicina, Instituto Politécnico Nacional, Plan de San Luis y Díaz Mirón, Mexico City, Mexico
| | - Marvin A. Soriano-Ursúa
- Academia de Fisiología y Sección de Estudios de Posgrado e Investigación, Escuela Superior de Medicina, Instituto Politécnico Nacional, Plan de San Luis y Díaz Mirón, Mexico City, Mexico
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Li Y, Chen S, Chen H, Guo P, Li T, Xu Q. Effect of thermal oxidation on detection of adulteration at low concentrations in extra virgin olive oil: Study based on laser-induced fluorescence spectroscopy combined with KPCA–LDA. Food Chem 2020; 309:125669. [DOI: 10.1016/j.foodchem.2019.125669] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2019] [Revised: 10/06/2019] [Accepted: 10/07/2019] [Indexed: 10/25/2022]
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19
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FT-IR and Raman spectroscopy data fusion with chemometrics for simultaneous determination of chemical quality indices of edible oils during thermal oxidation. Lebensm Wiss Technol 2020. [DOI: 10.1016/j.lwt.2019.108906] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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20
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Rivera-Barrera D, Rueda-Chacón H, Molina V D. Prediction of the total acid number (TAN) of colombian crude oils via ATR–FTIR spectroscopy and chemometric methods. Talanta 2020; 206:120186. [DOI: 10.1016/j.talanta.2019.120186] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Revised: 07/26/2019] [Accepted: 07/27/2019] [Indexed: 11/27/2022]
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21
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Sánchez-Rodríguez MI, Caridad JM, Sánchez-López E, Marinas A, Urbano FJ. Improving the prediction of the fatty acid profile of olive oils by considering statistically relevant harvests and agro-climatic variables. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2019; 99:3417-3425. [PMID: 30609043 DOI: 10.1002/jsfa.9559] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2018] [Revised: 12/20/2018] [Accepted: 12/28/2018] [Indexed: 06/09/2023]
Abstract
BACKGROUND Fatty acids are the major components in extra virgin olive oil, and they are considered as a quality parameter to its authentication. As fraudulent practices are the most important problem in this sector, fast, reliable and cost-effective techniques, such as Raman spectroscopy, have been successfully applied, in combination with chemometrics, to determine the fatty acid profile of oils. RESULTS The huge amount of information provided by Raman spectra is reduced in a few orthogonal components of principal component analysis (PCA). The goodness-of-fit of the statistical models including only these PCA factors is considerably increased by introducing dummy variables, associated with the harvest, and some agro-climatic variables (temperature, humidity, wind speed, radiation, precipitation and evapotranspiration). Many of these additional variables are statistically relevant in models using either the global sample or subsamples of Andalusian provinces or olive varieties. CONCLUSIONS The regression models using only Raman spectral information are clearly improved by the consideration of harvesting time and agro-climatic data, a useful result as trade standard applying to olive oils limits values for disaggregated fatty acids to authenticate olive oils. Nevertheless, the effect (or the statistical relevance) of these variables depends on the specific type of fatty acid, geographical region (province) or olive variety. © 2019 Society of Chemical Industry.
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Affiliation(s)
| | - José M Caridad
- Statistics and Business Department, University of Cordoba, Cordoba, Spain
| | | | - Alberto Marinas
- Organic Chemistry Department, University of Cordoba, Cordoba, Spain
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22
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Surface-Enhanced Raman Spectroscopy for Monitoring Extravirgin Olive Oil Bioactive Components. J CHEM-NY 2019. [DOI: 10.1155/2019/9537419] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023] Open
Abstract
Olive oil is the main fat source of the Mediterranean diet. This seasoning ingredient is highly appreciated for its unique taste, functional properties, and positive impact on human health. The determination of chemical composition is a demanding task in order to fully characterize this precious food product, ensure its quality, and prevent fraudulent practices. Among innovative techniques proposed for the oil analysis, surface-enhanced Raman spectroscopy (SERS) can be an extremely useful tool for olive oil characterization. In this frame, we have investigated five noncommercial olive oils produced in different parts of South Italy by using a commercial Raman microspectroscopy apparatus and home-made signal-enhancing SERS substrates. A wavelet-based data analysis has allowed us to efficiently remove the background and the noise from the acquired spectra. The analysis of these SERS spectra has enabled the quantification of the relative contents of carotene, oleic acid, and phenols. These relative contents differ in the examined samples. In addition, SERS response in the lipid region has indicated differences in the relative abundance of saturated fatty acids. The present results confirm the validity of the SERS technique as a rapid, nondestructive, and reliable analytical technique for identifying olive oil bioactive components.
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23
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Portarena S, Anselmi C, Zadra C, Farinelli D, Famiani F, Baldacchini C, Brugnoli E. Cultivar discrimination, fatty acid profile and carotenoid characterization of monovarietal olive oils by Raman spectroscopy at a single glance. Food Control 2019. [DOI: 10.1016/j.foodcont.2018.09.011] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
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24
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Safety analysis of edible oil products via Raman spectroscopy. Talanta 2019; 191:324-332. [DOI: 10.1016/j.talanta.2018.08.074] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2018] [Revised: 08/17/2018] [Accepted: 08/27/2018] [Indexed: 02/03/2023]
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25
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Scattering-based optical techniques for olive oil characterization and quality control. JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION 2018. [DOI: 10.1007/s11694-018-9933-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
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26
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What are the scientific challenges in moving from targeted to non-targeted methods for food fraud testing and how can they be addressed? – Spectroscopy case study. Trends Food Sci Technol 2018. [DOI: 10.1016/j.tifs.2018.04.001] [Citation(s) in RCA: 94] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
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27
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Özdemir İS, Dağ Ç, Özinanç G, Suçsoran Ö, Ertaş E, Bekiroğlu S. Quantification of sterols and fatty acids of extra virgin olive oils by FT-NIR spectroscopy and multivariate statistical analyses. Lebensm Wiss Technol 2018. [DOI: 10.1016/j.lwt.2018.01.045] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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28
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Mishra P, Lleó L, Cuadrado T, Ruiz-Altisent M, Hernández-Sánchez N. Monitoring oxidation changes in commercial extra virgin olive oils with fluorescence spectroscopy-based prototype. Eur Food Res Technol 2017. [DOI: 10.1007/s00217-017-2984-1] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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29
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Valli E, Bendini A, Berardinelli A, Ragni L, Riccò B, Grossi M, Gallina Toschi T. Rapid and innovative instrumental approaches for quality and authenticity of olive oils. EUR J LIPID SCI TECH 2016. [DOI: 10.1002/ejlt.201600065] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Enrico Valli
- Department of Agricultural and Food Sciences (DiSTAL); Alma Mater Studiorum − University of Bologna; Bologna Italy
| | - Alessandra Bendini
- Department of Agricultural and Food Sciences (DiSTAL); Alma Mater Studiorum − University of Bologna; Bologna Italy
| | - Annachiara Berardinelli
- Department of Agricultural and Food Sciences (DiSTAL); Alma Mater Studiorum − University of Bologna; Bologna Italy
| | - Luigi Ragni
- Department of Agricultural and Food Sciences (DiSTAL); Alma Mater Studiorum − University of Bologna; Bologna Italy
| | - Bruno Riccò
- Department of Electrical, Electronic and Information Engineering “Guglielmo Marconi” (DEI); Alma Mater Studiorum − University of Bologna; Bologna Italy
| | - Marco Grossi
- Department of Electrical, Electronic and Information Engineering “Guglielmo Marconi” (DEI); Alma Mater Studiorum − University of Bologna; Bologna Italy
| | - Tullia Gallina Toschi
- Department of Agricultural and Food Sciences (DiSTAL); Alma Mater Studiorum − University of Bologna; Bologna Italy
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