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Tahir HE, Hashim SBH, Arslan M, Mahunu GK, Shishir MRI, Zhihua L, Khan S, Mariod AA, Abaker HAM, Ibrahim HE, El-Seedi HR, Xiaobo Z. Characterization and identification of the key volatile and non-volatile substances of Vangueria madagascariensis J.F. Gmel fruits (Kirkir) and exploration of their binding interactions with olfactory and taste receptors using computational chemistry methodology. Food Chem 2024; 460:140631. [PMID: 39128364 DOI: 10.1016/j.foodchem.2024.140631] [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: 04/06/2024] [Revised: 07/19/2024] [Accepted: 07/23/2024] [Indexed: 08/13/2024]
Abstract
Profiling of metabolites that contribute to the taste and odor of fruit products is important to produce the desired products. In this study, volatile and non-volatile compounds were analyzed using SPME/GC-MS and UHPLC-Q-Exactive-orbitrap-MS/MS, respectively. A total of 59 volatiles (including alcohols, aldehydes, acids, terpenes, ketones, phenols, and hydrocarbons et al.) and 18 non-volatiles (including phenolic acids, flavones, flavonoids, glucosides, phenols, and quinic acid derivatives et al.) were detected in dried Kirkir fruits. The binding interactions between the key volatiles and the detected non-volatiles with taste and olfactory receptors were also evaluated. Based on the molecular docking, 11 volatile compounds may contribute to the overall odor, while 16 non-volatile compounds may contribute to the taste of the Kirkir fruits. In conclusion, in silico studies can serve as a powerful technique for understanding mechanisms of interaction and predicting the key phytochemicals that contribute to the odor and taste of fruits.
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Affiliation(s)
- Haroon Elrasheid Tahir
- School of Food and Biological Engineering, Jiangsu University, 301 Xuefu Rd, 212013 Zhenjiang, Jiangsu, China.
| | - Sulafa B H Hashim
- School of Food and Biological Engineering, Jiangsu University, 301 Xuefu Rd, 212013 Zhenjiang, Jiangsu, China; Department of Food Technology, Faculty of Agricultural Technology and Fish Sciences, Alneelain University, Khartoum, Sudan
| | - Muhammad Arslan
- School of Food and Biological Engineering, Jiangsu University, 301 Xuefu Rd, 212013 Zhenjiang, Jiangsu, China
| | - Gustav Komla Mahunu
- Department of Food Science and Technology, Faculty of Agriculture, Food and Consumer Sciences, University for Development Studies, Tamale, Ghana
| | | | - Li Zhihua
- School of Food and Biological Engineering, Jiangsu University, 301 Xuefu Rd, 212013 Zhenjiang, Jiangsu, China
| | - Suliman Khan
- School of Food and Biological Engineering, Jiangsu University, 301 Xuefu Rd, 212013 Zhenjiang, Jiangsu, China
| | - Abdalbasit Adam Mariod
- Indigenous Knowledge and Heritage Center at Ghibaish College of Science & Technology in Ghibaish, Sudan; College of Sciences, University of Jeddah, Saudi Arabia
| | - Hamza A M Abaker
- School of Food and Biological Engineering, Jiangsu University, 301 Xuefu Rd, 212013 Zhenjiang, Jiangsu, China
| | - Howida Elkheir Ibrahim
- Department of Food Technology, Faculty of Agricultural Technology and Fish Sciences, Alneelain University, Khartoum, Sudan
| | - Hesham R El-Seedi
- Chemistry Department, Faculty of Science, Islamic University of Madinah, P. O. Box: 170, Madinah 42351, Saudi Arabia
| | - Zou Xiaobo
- School of Food and Biological Engineering, Jiangsu University, 301 Xuefu Rd, 212013 Zhenjiang, Jiangsu, China.
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Louppis AP, Kontominas MG. Analytical insights for ensuring authenticity of Greek agriculture products: Unveiling chemical marker applications. Food Chem 2024; 445:138758. [PMID: 38368700 DOI: 10.1016/j.foodchem.2024.138758] [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: 10/11/2023] [Revised: 02/11/2024] [Accepted: 02/13/2024] [Indexed: 02/20/2024]
Abstract
Food authentication, including the differentiation of geographical or botanical origin, the method of production i.e. organic vs. conventional farming as well as the detection of food fraud/adulteration, has been a rapidly growing field over the past two decades due to increasing public awareness regarding food quality and safety, nutrition, and health. Concerned parties include consumers, producers, and legislators. Thus, the development of rapid, accurate, sensitive, and reproducible analytical methods to guarantee the authenticity of foods is of primary interest to scientists and technologists. The aim of the present article is to summarize research work carried out on the authentication of Greek agricultural products using spectroscopic (NIR, FTIR, UV-Vis, Raman and fluorescence spectroscopy, NMR, IRMS, ICP-OES, ICP-MS) and chromatographic (GC, GC/MS, HPLC, HPLC/MS, etc.) methods of analysis in combination with chemometrics highlighting the chemical markers that enable product authentication. The review identified a large number of chemical markers including volatiles, phenolic substances, natural pigments, elements, isotopes, etc. which can be used for (i) the differentiation of botanical/geographical origin; conventional from organic farming; production procedure and vintage year, etc. and (ii) detection of adulteration of high quality plant and animal origin foods with lower value substitutes. Finally, the constant development of reliable analytical techniques in combination with law enforcement authorities will ensure authentic foods in terms of quality and safety for consumers.
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Affiliation(s)
| | - Michael G Kontominas
- Laboratory of Food Chemistry, Department of Chemistry, University of Ioannina, Ioannina 45110, Greece.
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3
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Kaldeli A, Zakidou P, Paraskevopoulou A. Volatilomics as a tool to ascertain food adulteration, authenticity, and origin. Compr Rev Food Sci Food Saf 2024; 23:e13387. [PMID: 38865237 DOI: 10.1111/1541-4337.13387] [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: 01/03/2024] [Revised: 05/02/2024] [Accepted: 05/18/2024] [Indexed: 06/14/2024]
Abstract
Over recent years, there has been an increase in the number of reported cases of food fraud incidents, whereas at the same time, consumers demand authentic products of high quality. The emerging volatilomics technology could be the key to the analysis and characterization of the quality of different foodstuffs. This field of omics has aroused the interest of scientists due to its noninvasive, rapid, and cost-profitable nature. This review aims to monitor the available scientific information on the use of volatilomics technology, correlate it to the relevant food categories, and demonstrate its importance in the food adulteration, authenticity, and origin areas. A comprehensive literature search was performed using various scientific search engines and "volatilomics," "volatiles," "food authenticity," "adulteration," "origin," "fingerprint," "chemometrics," and variations thereof as keywords, without chronological restriction. One hundred thirty-seven relevant publications were retrieved, covering 11 different food categories (meat and meat products, fruits and fruit products, honey, coffee, tea, herbal products, olive oil, dairy products, spices, cereals, and others), the majority of which focused on the food geographical origin. The findings show that volatilomics typically involves various methods responsible for the extraction and consequential identification of volatile compounds, whereas, with the aid of data analysis, it can handle large amounts of data, enabling the origin classification of samples or even the detection of adulteration practices. Nonetheless, a greater number of specific research studies are needed to unlock the full potential of volatilomics.
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Affiliation(s)
- Aikaterini Kaldeli
- Laboratory of Food Chemistry and Technology, School of Chemistry, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Panagiota Zakidou
- Laboratory of Food Chemistry and Technology, School of Chemistry, Aristotle University of Thessaloniki, Thessaloniki, Greece
- European Food Safety Authority (EFSA), Parma, Italy
| | - Adamantini Paraskevopoulou
- Laboratory of Food Chemistry and Technology, School of Chemistry, Aristotle University of Thessaloniki, Thessaloniki, Greece
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4
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Lazzez A, Quintanilla-Casas B, Vichi S. Combining different biomarkers to distinguish Chemlali virgin olive oils from different geographical areas of Tunisia. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2023; 103:3295-3305. [PMID: 36794483 DOI: 10.1002/jsfa.12506] [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: 09/13/2022] [Revised: 01/27/2023] [Accepted: 02/16/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Despite their high potential, Tunisian virgin olive oils (VOOs) are mainly exported in bulk or blended with VOOs of other origin, hindering their international market placement. To face this situation, their valorization is needed by highlighting their unique features and by developing tools to guarantee their geographical authenticity. Compositional features of Chemlali VOOs produced in three Tunisian regions were assessed to identify suitable authenticity markers. RESULTS Quality indices ensured the quality of the VOOs studied. Volatile compounds, total phenols, fatty acid (FA) and chlorophylls are significantly influenced by the region of origin, which was justified by the differences found in soil and climatic conditions of the three geographical regions. To explore the capabilities of these markers for the geographical authentication of Tunisian Chemlali VOOs, classification models based on partial least squares-discriminant analysis (PLS-DA) were developed by grouping the minimum number of variables allowing the highest discrimination power, minimizing in this way the analytical procedure. The PLS-DA authentication model based on combining volatile compounds with FA or with total phenols achieved a correct classification of 95.7% of the VOOs according to their origin, as assessed by 10%-out cross-validation. Sidi Bouzid Chemlali VOOs achieved 100% of correct classification, while the misclassification between Sfax and Enfidha ones did not exceed 10%. CONCLUSIONS These results allowed to establish the most promising and affordable combination of markers for the geographical authentication of Tunisian Chemlali VOOs from distinct production regions and provide the basis to further develop authentication models based on wider datasets. © 2023 Society of Chemical Industry.
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Affiliation(s)
- Aida Lazzez
- Unité Technologie et Qualité, Institut de l'Olivier Sfax, Sfax, Tunisia
| | - Beatriz Quintanilla-Casas
- Department de Nutrició, Ciències de l'Alimentació i Gastronomia, INSA - XaRTA, Universitat de Barcelona, Campus de l'Alimentació de Torribera, Santa Coloma de Gramenet, Spain
| | - Stefania Vichi
- Department de Nutrició, Ciències de l'Alimentació i Gastronomia, INSA - XaRTA, Universitat de Barcelona, Campus de l'Alimentació de Torribera, Santa Coloma de Gramenet, Spain
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Hye Hur S, Kim H, Kim YK, An JM, Hye Lee J, Jin Kim H. Discrimination between Korean and Chinese Kimchi using inductively coupled plasma-optical emission spectroscopy and mass spectrometry: A multivariate analysis of Kimchi. Food Chem 2023; 423:136235. [PMID: 37163917 DOI: 10.1016/j.foodchem.2023.136235] [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: 10/27/2022] [Revised: 04/18/2023] [Accepted: 04/21/2023] [Indexed: 05/12/2023]
Abstract
Kimchi has been designated as one of the world's five healthiest foods, and it is a traditional Korean fermented food. The purpose of this study was to investigate whether the origin of Kimchi can be discriminated against by using inorganic elements to develop a more accurate method. The OPLS-DA showed that the R2 and Q2 values were 0.908 and 0.81, a high-quality model. We selected 24 elements (133Cs, 238U, 88Sr, K, 157Gd, Na, Mg, 139La, P, 141Pr, 72Ge, 146Nd, 147Sm, 153Eu, 55Mn, 165Ho, 163Dy, 166Er, Fe, 172Yb, 169Tm, 185Re, 175Lu, and 118Sn) with VIP 1 or higher in the OPLS-DA model. In ROC, the selected elements had an accuracy of 100%. The heatmap confirmed the contents of rare earth elements (REEs) in Korean and Chinese Kimchi, the accuracy of distinguishing classification in CDA is 100%. Such results will help to distinguish the origin of agricultural products through inorganic analysis.
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Affiliation(s)
- Suel Hye Hur
- National Agricultural Products Quality Management Service, Gimcheon, 39660, Republic of Korea
| | - Hyoyoung Kim
- National Agricultural Products Quality Management Service, Gimcheon, 39660, Republic of Korea
| | - Yong-Kyoung Kim
- National Agricultural Products Quality Management Service, Gimcheon, 39660, Republic of Korea
| | - Jae-Min An
- National Agricultural Products Quality Management Service, Gimcheon, 39660, Republic of Korea
| | - Ji Hye Lee
- National Agricultural Products Quality Management Service, Gimcheon, 39660, Republic of Korea
| | - Ho Jin Kim
- National Agricultural Products Quality Management Service, Gimcheon, 39660, Republic of Korea.
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6
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Wang Y, Yu L, Shehzad Q, Kong W, Wu G, Jin Q, Zhang H, Wang X. A comprehensive comparison of Chinese olive oils from different cultivars and geographical origins. Food Chem X 2023; 18:100665. [PMID: 37091515 PMCID: PMC10114164 DOI: 10.1016/j.fochx.2023.100665] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 03/20/2023] [Accepted: 03/26/2023] [Indexed: 03/31/2023] Open
Abstract
China has become increasingly interested in producing olive oil in recent years. In this study, we determined the characteristics of virgin olive oil in five typical cultivars (cv. 'Arbequina,' 'Coratina,' 'Ezhi 8,' 'Frantoio,' and 'Koroneiki') from two of the most suitable production areas for olive cultivation in China. In addition, linear discriminant analysis (LDA) was used to differentiate oils originating from various cultivars and geographical origins. Heatmap was also constructed to describe the differences straightly. Compared to Xichang oils, Longnan oils generally contained higher levels of C18:0, lignans, total esters and total furans, and lower levels of phenolic acids and phenolic alcohols. A variety of cultivars differed in total sterols, hydroxytyrosol derivatives, and volatile compounds. Coratina oils showed excellent properties in two regions. Our findings are closely related to select the optimum olive cultivars in different regions to promote the development of Chinese olive industry scientifically.
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7
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Quality assessment and geographical origin classification of extra-virgin olive oils imported into China. J Food Compost Anal 2022. [DOI: 10.1016/j.jfca.2022.104713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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8
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Cecchi L, Migliorini M, Giambanelli E, Cane A, Zanoni B, Canuti V, Mulinacci N, Melani F. Is the volatile compounds profile a suitable tool for authentication of virgin olive oils (Olea europaea L.) according to cultivars? A study by using HS-SPME-GC-MS and chemometrics. Food Control 2022. [DOI: 10.1016/j.foodcont.2022.109092] [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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9
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Zhang Y, Yang Y, Ma C, Jiang L. Identification of multiple raisins by feature fusion combined with NIR spectroscopy. PLoS One 2022; 17:e0268979. [PMID: 35834504 PMCID: PMC9282468 DOI: 10.1371/journal.pone.0268979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2022] [Accepted: 05/11/2022] [Indexed: 11/24/2022] Open
Abstract
Varieties of raisins are diverse, and different varieties have different nutritional properties and commercial value. In this paper, we propose a method to identify different varieties of raisins by combining near-infrared (NIR) spectroscopy and machine learning algorithms. The direct averaging of the spectra taken for each sample may reduce the experimental data and affect the extraction of spectral features, thus limiting the classification results, due to the different substances of grape skins and flesh. Therefore, this experiment proposes a method to fuse the spectral features of pulp and peel. In this experiment, principal component analysis (PCA) was used to extract baseline corrected features, and linear models of k-nearest neighbor (KNN) and linear discriminant analysis (LDA) and nonlinear models of back propagation (BP), support vector machine with genetic algorithm (GA-SVM), grid search-support vector machine (GS-SVM) and particle swarm optimization with support vector machine (PSO- SVM) coupling were used to classify. This paper compared the results of four experiments using only skin spectrum, only flesh spectrum, average spectrum of skin and flesh, and their spectral feature fusion. The experimental results showed that the accuracy and Macro-F1 score after spectral feature fusion were higher than the other three experiments, and GS-SVM had the highest accuracy and Macro-F1 score of 94.44%. The results showed that feature fusion can improve the performance of both linear and nonlinear models. This may provide a new strategy for acquiring spectral data and improving model performance in the future. The code is available at https://github.com/L-ain/Source.
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Affiliation(s)
- Yajun Zhang
- College of Software, Xinjiang University, Urumqi, China
- * E-mail:
| | - Yan Yang
- College of Information Science and Engineering, Xinjiang University, Urumqi, China
| | - Chong Ma
- College of Software, Xinjiang University, Urumqi, China
| | - Liping Jiang
- College of Information Engineering, Changji University, Changji, China
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10
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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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Prandi B, Righetti L, Caligiani A, Tedeschi T, Cirlini M, Galaverna G, Sforza S. Assessing food authenticity through protein and metabolic markers. ADVANCES IN FOOD AND NUTRITION RESEARCH 2022; 102:233-274. [PMID: 36064294 DOI: 10.1016/bs.afnr.2022.04.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
This chapter aims to address an issue of ancient origins, but more and more topical in a globalized world in which consumers and stakeholders are increasingly aware: the authenticity of food. Foods are systems that can also be very complex, and verifying the correspondence between what is declared and the actual characteristics of the product is often a challenging issue. The complexity of the question we want to answer (is the food authentic?) means that the answer is equally articulated and makes use of many different analytical techniques. This chapter will consider the chemical analyses of foods aimed at guaranteeing their authenticity and will focus on frontier methods that have been developed in recent years to address the need to respond to ever-increasing guarantees of authenticity. Targeted and non-targeted approaches will be considered for verifying the authenticity of foods, through the study of different classes of constituents (proteins, metabolites, lipids, flavors). The numerous approaches available (proteomics, metabolomics, lipidomics) and the related analytical techniques (LC-MS, GC-MS, NMR) are first described from a more general point of view, after which their specific application for the purposes of authentication of food is addressed.
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Affiliation(s)
- Barbara Prandi
- Department of Food and Drug, University of Parma, Parma, Italy.
| | - Laura Righetti
- Department of Food and Drug, University of Parma, Parma, Italy
| | | | - Tullia Tedeschi
- Department of Food and Drug, University of Parma, Parma, Italy
| | - Martina Cirlini
- Department of Food and Drug, University of Parma, Parma, Italy
| | | | - Stefano Sforza
- Department of Food and Drug, University of Parma, Parma, Italy
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12
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Headspace Solid-Phase Micro-extraction for Determination of Volatile Organic Compounds in Apple Using Gas Chromatography–Mass Spectrometry. FOOD ANAL METHOD 2022. [DOI: 10.1007/s12161-022-02324-0] [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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13
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Geographical authentication of virgin olive oil by GC-MS sesquiterpene hydrocarbon fingerprint: Scaling down to the verification of PDO compliance. Food Control 2022. [DOI: 10.1016/j.foodcont.2022.109055] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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14
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Ren YF, Feng C, Ye ZH, Zhu HY, Hou RY, Granato D, Cai HM, Peng CY. Keemun black tea: Tracing its narrow-geographic origins using comprehensive elemental fingerprinting and chemometrics. Food Control 2022. [DOI: 10.1016/j.foodcont.2021.108614] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
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15
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Geographical Origin Assessment of Extra Virgin Olive Oil via NMR and MS Combined with Chemometrics as Analytical Approaches. Foods 2022; 11:foods11010113. [PMID: 35010239 PMCID: PMC8750049 DOI: 10.3390/foods11010113] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 12/06/2021] [Accepted: 12/28/2021] [Indexed: 12/17/2022] Open
Abstract
Geographical origin assessment of extra virgin olive oil (EVOO) is recognised worldwide as raising consumers’ awareness of product authenticity and the need to protect top-quality products. The need for geographical origin assessment is also related to mandatory legislation and/or the obligations of true labelling in some countries. Nevertheless, official methods for such specific authentication of EVOOs are still missing. Among the analytical techniques useful for certification of geographical origin, nuclear magnetic resonance (NMR) and mass spectroscopy (MS), combined with chemometrics, have been widely used. This review considers published works describing the use of these analytical methods, supported by statistical protocols such as multivariate analysis (MVA), for EVOO origin assessment. The research has shown that some specific countries, generally corresponding to the main worldwide producers, are more interested than others in origin assessment and certification. Some specific producers such as Italian EVOO producers may have been focused on this area because of consumers’ interest and/or intrinsic economical value, as testified also by the national concern on the topic. Both NMR- and MS-based approaches represent a mature field where a general validation method for EVOOs geographic origin assessment could be established as a reference recognised procedure.
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16
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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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17
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Eriotou E, Karabagias IK, Maina S, Koulougliotis D, Kopsahelis N. Geographical origin discrimination of "Ntopia" olive oil cultivar from Ionian islands using volatile compounds analysis and computational statistics. Eur Food Res Technol 2021; 247:3083-3098. [PMID: 34566491 PMCID: PMC8450699 DOI: 10.1007/s00217-021-03863-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 09/02/2021] [Accepted: 09/04/2021] [Indexed: 12/01/2022]
Abstract
The aim of the present study was to characterize the aroma profile of olive oil of the "Ntopia" (local) cultivar from the Ionian islands (Zakynthos, Kefalonia, Leukada, and Kerkyra) (Greece), and investigate whether specific volatile compounds could be considered as indicators of olive oil geographical origin, using computational statistics. In this context, 137 olive oil samples were subjected to headspace solid phase microextraction coupled to gas chromatography/mass spectrometry using the internal standard method. Computational statistics on the semi-quantitative data of olive oil samples, as rapid machine learning algorithms, showed that specific volatile compounds could be used as indicators of geographical origin of olive oil of the "Ntopia" cultivar, among the four main Ionian islands. Volatile compounds such as ethanol, pentanal, 2,4-dimethylheptane, 3,7-dimethyl-1,3,6-octatriene (E), 2,5-dimethylnonane, 1-hexanol, 6-methyl-5-hepten-2-one, octanal, dl-Limonene, acetic acid hexyl ester and dodecane could aid to the geographical origin discrimination of "Ntopia" olive oil cultivar when two (Zakynthos and Kefalonia) or four (Zakynthos, Kefalonia, Leukada and Kerkyra) Ionian islands are subjected to statistical analysis. The discrimination rate using the cross-validation method was 100% and 85.7%, respectively. These results were further evaluated using training and holdout partitions, during which a comparable classification rate was obtained. SUPPLEMENTARY INFORMATION The online version contains supplementary material available at 10.1007/s00217-021-03863-2.
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Affiliation(s)
- Effimia Eriotou
- Department of Food Science and Technology, Ionian University, 28100 Argostoli, Kefalonia Greece
| | - Ioannis K. Karabagias
- Laboratory of Food Chemistry, Department of Chemistry, University of Ioannina, 45110 Ioannina, Greece
- Department of Food Science and Technology, School of Agricultural Sciences, University of Patras, Charilaou Trikoupi 2, 30100 Agrinio, Greece
| | - Sofia Maina
- Department of Food Science and Technology, Ionian University, 28100 Argostoli, Kefalonia Greece
- Department of Food Science and Human Nutrition, Agricultural University of Athens, Iera Odos 75, 11855 Athens, Greece
| | - Dionysios Koulougliotis
- Department of Environment, Ionian University, M. Minotou-Giannopoulou, 29100 Zakynthos, Greece
| | - Nikolaos Kopsahelis
- Department of Food Science and Technology, Ionian University, 28100 Argostoli, Kefalonia Greece
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18
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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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19
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Silva P, Freitas J, Nunes FM, Câmara JS. A Predictive Strategy Based on Volatile Profile and Chemometric Analysis for Traceability and Authenticity of Sugarcane Honey on the Global Market. Foods 2021; 10:1559. [PMID: 34359428 PMCID: PMC8305931 DOI: 10.3390/foods10071559] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 06/14/2021] [Accepted: 07/01/2021] [Indexed: 11/17/2022] Open
Abstract
Sugarcane honey (SCH) is a syrup produced on Madeira Island and recognized by its unique aroma, a complex attribute of quality with an important influence on the final consumer's acceptance of the product, and determined by a complex mixture of a large number of volatile organic compounds (VOCs) generated during its traditional making process and storage. Therefore, the purpose of this study was to establish the volatile profile of genuine SCH produced by a regional certified producer for seven years and compare it with syrups from non-certified regional producers and with producers from different geographical regions (Spain, Egypt, Brazil and Australia), as a powerful strategy to define the volatomic fingerprint of SCH. Different volatile profiles were recognized for all samples, with 166 VOCs being identified belonging to different chemical classes, including furans, ketones, carboxylic acids, aldehydes and alcohols. Chemometric analysis allowed (i) the differentiation between all syrups, being more pronounced between SCH and other syrups; and (ii) the identification of 32 VOCs as potential markers for the traceability and authenticity of SCH on the global market.
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Affiliation(s)
- Pedro Silva
- CQM—Centro de Química da Madeira, Campus da Penteada, Universidade da Madeira, 9020-105 Funchal, Portugal; (P.S.); (J.F.)
| | - Jorge Freitas
- CQM—Centro de Química da Madeira, Campus da Penteada, Universidade da Madeira, 9020-105 Funchal, Portugal; (P.S.); (J.F.)
| | - Fernando M. Nunes
- CQ-VR—Centro de Química-Vila Real, Food and Wine Chemistry Lab., Departamento de Química, Universidade de Trás-os-Montes e Alto Douro, 5001-801 Vila Real, Portugal;
| | - José S. Câmara
- CQM—Centro de Química da Madeira, Campus da Penteada, Universidade da Madeira, 9020-105 Funchal, Portugal; (P.S.); (J.F.)
- Departamento de Química, Faculdade de Ciências Exactas e Engenharia, Campus da Penteada, Universidade da Madeira, 9020-105 Funchal, Portugal
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20
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Cassago ALL, Artêncio MM, de Moura Engracia Giraldi J, Da Costa FB. Metabolomics as a marketing tool for geographical indication products: a literature review. Eur Food Res Technol 2021; 247:2143-2159. [PMID: 34149310 PMCID: PMC8204615 DOI: 10.1007/s00217-021-03782-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 05/20/2021] [Accepted: 05/22/2021] [Indexed: 12/30/2022]
Abstract
Geographical indication (GI) is used to identify a product's origin when its characteristics or quality are a result of geographical origin, which includes agricultural products and foodstuff. Metabolomics is an “omics” technique that can support product authentication by providing a chemical fingerprint of a biological system, such as plant and plant-derived products. The main purpose of this article is to verify possible contributions of metabolomic studies to the marketing field, mainly for certified regions, through an integrative review of the literature and maps produced by VOSviewer software. The results indicate that studies based on metabolomics approaches can relate specific food attributes to the region’s terroir and know-how. The evidence of this connection, marketing of GIs and metabolomics methods, is viewed as potential tool for marketing purposes (e.g., to assist communication of positive aspects and quality), and legal protection. In addition, our results provide a taxonomic categorization that can guide future marketing research involving metabolomics. Moreover, the results are also useful to government agencies to improve GIs registration systems and promotion strategies.
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Affiliation(s)
- Alvaro Luis Lamas Cassago
- Department of Pharmaceutical Sciences, University of São Paulo (USP), School of Pharmaceutical Sciences of Ribeirão Preto, Av. do Café s/n, Ribeirão Preto, SP 14040-903 Brazil
| | - Mateus Manfrin Artêncio
- Department of Business Administration, University of São Paulo, School of Economics, Business Administration and Accounting of Ribeirão Preto, Av. Bandeirantes, 3900, Ribeirão Preto, SP 14040-905 Brazil
| | - Janaina de Moura Engracia Giraldi
- Department of Business Administration, University of São Paulo, School of Economics, Business Administration and Accounting of Ribeirão Preto, Av. Bandeirantes, 3900, Ribeirão Preto, SP 14040-905 Brazil
| | - Fernando Batista Da Costa
- Department of Pharmaceutical Sciences, University of São Paulo (USP), School of Pharmaceutical Sciences of Ribeirão Preto, Av. do Café s/n, Ribeirão Preto, SP 14040-903 Brazil
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21
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Amino Acid Profiling with Chemometric Analysis as a Feasible Tool for the Discrimination of Marine-Derived Peptide Powders. Foods 2021; 10:foods10061294. [PMID: 34199884 PMCID: PMC8229220 DOI: 10.3390/foods10061294] [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: 05/10/2021] [Revised: 05/29/2021] [Accepted: 06/01/2021] [Indexed: 01/28/2023] Open
Abstract
Marine-derived peptide powders have suffered from adulteration via the substitution of lower-price peptides or the addition of adulterants in the market. This study aims to establish an effective approach for the discrimination and detection of adulterants for four representative categories of marine-derived peptide powders, namely, oyster peptides, sea cucumber peptides, Antarctic krill peptides, and fish skin peptides, based on amino acid profiling alongside chemometric analysis. The principal component analysis and orthogonal partial least squares discriminant analysis results indicate that four categories of marine-derived peptides could be distinctly classified into four clusters and aggregated with the respective raw materials. Taurine, glycine, lysine, and protein contents were the major discriminants. A reliable classification model was constructed and validated by the prediction dataset, mixture sample dataset, and unclassified sample dataset with accuracy values of 100%, 100%, and 100%, respectively.
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22
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Sun Z, Li J, Wu J, Zou X, Ho CT, Liang L, Yan X, Zhou X. Rapid qualitative and quantitative analysis of strong aroma base liquor based on SPME-MS combined with chemometrics. FOOD SCIENCE AND HUMAN WELLNESS 2021. [DOI: 10.1016/j.fshw.2021.02.031] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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23
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Laser-induced breakdown spectroscopy coupled with machine learning as a tool for olive oil authenticity and geographic discrimination. Sci Rep 2021; 11:5360. [PMID: 33686131 PMCID: PMC7970888 DOI: 10.1038/s41598-021-84941-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Accepted: 02/18/2021] [Indexed: 02/06/2023] Open
Abstract
Olive oil is a basic element of the Mediterranean diet and a key product for the economies of the Mediterranean countries. Thus, there is an added incentive in the olive oil business for fraud through practices like adulteration and mislabeling. In the present work, Laser Induced Breakdown Spectroscopy (LIBS) assisted by machine learning is used for the classification of 139 virgin olive oils in terms of their geographical origin. The LIBS spectra of these olive oil samples were used to train different machine learning algorithms, namely LDA, ERTC, RFC, XGBoost, and to assess their classification performance. In addition, the variable importance of the spectral features was calculated, for the identification of the most important ones for the classification performance and to reduce their number for the algorithmic training. The algorithmic training was evaluated and tested by means of classification reports, confusion matrices and by external validation procedure as well. The present results demonstrate that machine learning aided LIBS can be a powerful and efficient tool for the rapid authentication of the geographic origin of virgin olive oil.
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24
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Cecchi L, Migliorini M, Mulinacci N. Virgin Olive Oil Volatile Compounds: Composition, Sensory Characteristics, Analytical Approaches, Quality Control, and Authentication. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2021; 69:2013-2040. [PMID: 33591203 DOI: 10.1021/acs.jafc.0c07744] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Volatile organic compounds strongly contribute to both the positive and negative sensory attributes of virgin olive oil, and more and more studies have been published in recent years focusing on several aspects regarding these molecules. This Review is aimed at giving an overview on the state of the art about the virgin olive oil volatile compounds. Particular emphasis was given to the composition of the volatile fraction, the analytical issues and approaches for analysis, the sensory characteristics and interaction with phenolic compounds, and the approaches for supporting the Panel Test in virgin olive oil classification and in authentication of the botanical and geographic origin based on volatile compounds. A pair of detailed tables with a total of approximately 700 volatiles identified or tentatively identified to date and tables dealing with analytical procedures, sensory characteristics of volatiles, and specific chemometric approaches for quality assessment are also provided.
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Affiliation(s)
- Lorenzo Cecchi
- Department of NEUROFARBA, Pharmaceutical and Nutraceutical Section, University of Florence, Via Ugo Schiff 6, 50019 Sesto F.no, Florence, Italy
| | - Marzia Migliorini
- Carapelli Firenze S.p.A., Via Leonardo da Vinci 31, 50028 Tavarnelle Val di Pesa, Florence, Italy
| | - Nadia Mulinacci
- Department of NEUROFARBA, Pharmaceutical and Nutraceutical Section, University of Florence, Via Ugo Schiff 6, 50019 Sesto F.no, Florence, Italy
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25
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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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26
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da Costa JRO, Dal Bosco SM, Ramos RCDS, Machado ICK, Garavaglia J, Villasclaras SS. Determination of volatile compounds responsible for sensory characteristics from Brazilian extra virgin olive oil using HS-SPME/GC-MS direct method. J Food Sci 2020; 85:3764-3775. [PMID: 32990366 DOI: 10.1111/1750-3841.15467] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 08/10/2020] [Accepted: 09/02/2020] [Indexed: 11/29/2022]
Abstract
Producing of extra virgin olive oils (EVOOs) containing pleasant sensory notes depends on fruits quality and production process and is strongly associated with their classification that is based on aroma and sensory taste. Consolidated as an efficient method, the direct headspace solid phase microextraction technique (HS-SPME) was utilized to characterize the volatile organic compounds (VOCs) profile, which contributes to the aroma of olive oils from southwestern (Serra da Mantiqueira region) and southern (Campanha Gaúcha region) Brazil. In this work, the relationship between the VOCs and sensory characteristics has been established; 19 EVOO samples (12 from Campanha Gaúcha and 7 from Serra da Mantiqueira) were studied. Indeed, the main volatile compounds were analyzed and grouped by their classification as well stood up with the trained sensorial panel perceptions. Relevant correlation between artichoke notes and ripe EVOO and between herbaceous notes and green EVOO was found. Additional correlations were observed for C5 and C6 VOCs with green and fruit/floral notes. The results denote the high quality among the samples and imply that besides the genetic factor, ripe or green classification influenced the volatile composition. PRACTICAL APPLICATION: As the Brazilian olive oil production is increasing, knowing about different sensory characteristics and its correlation with the volatile compounds of extra virgin olive oil represents a good tool to improve the quality. Moreover, the application of direct SPME method was possible evidence in the differentiation of ripe and green olive oils, beyond the production region and in consonance with its sensory notes and characteristics.
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Affiliation(s)
- Jadson Romualdo Oliveira da Costa
- the Nutrition Department, Federal University of Health Sciences of Porto Alegre (UFCSPA), Sarmento Leite, 245, Porto Alegre, Rio Grande do Sul, 90050-170, Brazil
| | - Simone Morelo Dal Bosco
- the Nutrition Department, Federal University of Health Sciences of Porto Alegre (UFCSPA), Sarmento Leite, 245, Porto Alegre, Rio Grande do Sul, 90050-170, Brazil
| | - Renata Cristina de Souza Ramos
- the Institute of Technology in Food for Health, University of Vale do Rio dos Sinos (UNISINOS), Unisinos Avenue, 950, São Leopoldo, RS, 93022-750, Brazil
| | - Isabel Cristina Kasper Machado
- the Nutrition Department, Federal University of Health Sciences of Porto Alegre (UFCSPA), Sarmento Leite, 245, Porto Alegre, Rio Grande do Sul, 90050-170, Brazil
| | - Juliano Garavaglia
- the Nutrition Department, Federal University of Health Sciences of Porto Alegre (UFCSPA), Sarmento Leite, 245, Porto Alegre, Rio Grande do Sul, 90050-170, Brazil
| | - Sebastián Sánchez Villasclaras
- the Center for Advanced Studies in Olive Grove and Olive Oils, Department of Chemical, Environmental and Materials Engineering, University of Jaen (UJA), Campus Las Lagunillas, Jaen, 23071, Spain
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27
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Chemometric discrimination of Turkish olive oils by variety and region using PCA and comparison of classification viability of SIMCA and PLS-DA. Eur Food Res Technol 2020. [DOI: 10.1007/s00217-020-03614-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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28
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El Orche A, Bouatia M, Mbarki M. Rapid Analytical Method to Characterize the Freshness of Olive Oils Using Fluorescence Spectroscopy and Chemometric Algorithms. JOURNAL OF ANALYTICAL METHODS IN CHEMISTRY 2020; 2020:8860161. [PMID: 32733738 PMCID: PMC7369664 DOI: 10.1155/2020/8860161] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2020] [Revised: 05/24/2020] [Accepted: 06/23/2020] [Indexed: 05/23/2023]
Abstract
One of the most important issues in the field of quality assurance of olive oils is the detection of the freshness of olive oil. In this study, 400 nm laser-induced fluorescence spectroscopy was used with supervised and unsupervised multivariate analysis methods to develop a rapid method able to discriminate between freshly produced olive oils and oil that has been stored for a period of time ranging from 12 to 24 months. The fluorescence spectral data were firstly processed by the PCA. This method shows strong discrimination of the three oil classes using the first three components which present 96% of the total variability of the initial data, and then supervised classification models were constructed using the discriminant partial least square regression PLS-DA, support vector machine SVM, and linear discriminant analysis LDA. These methods show a high capacity in the classification of the three classes of olive oil. The validation of these classification models by external samples shows a high capacity of classification of the samples in their class with an accuracy of 100%. This study demonstrated the feasibility of the fluorescence spectroscopy fingerprint (routine technique) for the classification of olive oils according to their freshness and storage time.
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Affiliation(s)
- Aimen El Orche
- Laboratory of Chemical Processes and Applied Materials, Faculty of Science and Technology, Sultan Moulay Slimane University, Beni-Mellal, Morocco
| | - Mustapha Bouatia
- Laboratory of Analytical Chemistry & Bromatology, Faculty of Medicine and Pharmacy, Mohammed V University in Rabat, Rabat, Morocco
| | - Mohamed Mbarki
- Laboratory of Chemical Processes and Applied Materials, Faculty of Science and Technology, Sultan Moulay Slimane University, Beni-Mellal, Morocco
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