1
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Emerging Trends of Electrochemical Sensors in Food Analysis. ELECTROCHEM 2023. [DOI: 10.3390/electrochem4010004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023] Open
Abstract
Food quality and safety pose an increasing threat to human health worldwide [...]
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2
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Martínez Gila DM, Estévez EE, Ortega JG, García JG. Application of a lab-made voltammetric electronic tongue to identify musty and vinegary defects in olive oils. JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION 2022. [DOI: 10.1007/s11694-022-01694-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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3
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Belugina R, Senchikhina A, Volkov S, Fedorov A, Legin A, Kirsanov D. Quantification of phosphatides in sunflower oils using a potentiometric e-tongue. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2022; 14:3064-3070. [PMID: 35938623 DOI: 10.1039/d2ay00736c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Consisting of two fatty acyl groups, phospholipids are a vital part of vegetable oils and the source of essential fatty acids. Moreover, phospholipids influence oxidative and flavor stability and color evolution of vegetable oils, and their quantification has a significant role in the quality assessment of oils. In this study, we proposed a new highly efficient, affordable, environmentally friendly, and simple approach for the evaluation of phospholipid concentrations based on potentiometric multisensor systems coupled with chemometric data processing. Support vector machines, partial least squares, and multiple linear regressions were used to predict phosphatide concentrations based on potentiometric multisensor system responses. Application of multivariate regression tools yielded the following root mean square errors of prediction: 0.005 mg/100 g of oil in the range 0.0-59.4 mg/100 g for refined oils; 0.008 mg/100 g in the range 0.0-100 mg/100 g for low phosphatide oils and 0.24 mg/100 g in the range 100-2270 mg/100 g for high phosphatide oils. This approach can be considered as a rapid and straightforward method to quantify the phosphatides in sunflower oils.
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Affiliation(s)
| | | | - Sergey Volkov
- All-Russian Research Institute of Fats (ARRIF), St Petersburg, Russia
| | - Alexander Fedorov
- ITMO University, St Petersburg, Russia.
- All-Russian Research Institute of Fats (ARRIF), St Petersburg, Russia
| | - Andrey Legin
- ITMO University, St Petersburg, Russia.
- Institute of Chemistry, Saint Petersburg State University, St Petersburg, Russia
| | - Dmitry Kirsanov
- ITMO University, St Petersburg, Russia.
- Institute of Chemistry, Saint Petersburg State University, St Petersburg, Russia
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4
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Evaluation of Olive Oil Quality with Electrochemical Sensors and Biosensors: A Review. Int J Mol Sci 2021; 22:ijms222312708. [PMID: 34884509 PMCID: PMC8657724 DOI: 10.3390/ijms222312708] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 11/19/2021] [Accepted: 11/23/2021] [Indexed: 01/11/2023] Open
Abstract
Electrochemical sensors, sensor arrays and biosensors, alongside chemometric instruments, have progressed remarkably of late, being used on a wide scale in the qualitative and quantitative evaluation of olive oil. Olive oil is a natural product of significant importance, since it is a rich source of bioactive compounds with nutritional and therapeutic properties, and its quality is important both for consumers and for distributors. This review aims at analysing the progress reported in the literature regarding the use of devices based on electrochemical (bio)sensors to evaluate the bioactive compounds in olive oil. The main advantages and limitations of these approaches on construction technique, analysed compounds, calculus models, as well as results obtained, are discussed in view of estimation of future progress related to achieving a portable, practical and rapid miniature device for analysing the quality of virgin olive oil (VOO) at different stages in the manufacturing process.
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5
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Duan D, Huang Y, Zou Y, He B, Tang R, Yang L, Zhang Z, Su S, Wang G, Zhang D, Zhou C, Li J, Deng M. Discrimination of Camellia seed oils extracted by supercritical CO 2 using electronic tongue technology. Food Sci Biotechnol 2021; 30:1303-1312. [PMID: 34691803 DOI: 10.1007/s10068-021-00973-1] [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: 01/14/2021] [Revised: 07/19/2021] [Accepted: 08/10/2021] [Indexed: 12/01/2022] Open
Abstract
Analytical method which combines electronic tongue technique and chemometrics analysis is developed to discriminate oil types and predict oil quality. All the studied Camellia oil samples from pressing, n-hexane extraction and supercritical CO2 extraction (SCCE), were successfully identified by principal component analysis (PCA) and hierarchical cluster analysis (HCA). Furthermore, multi factor linear regression model (MLRM) was established to predict oil quality, which are indicated by acid value (AV) and peroxide value (POV). The practical potential of e-tongue for the discrimination and assessment of Camellia oils has shown promising application in the characterization of Camellia oils in the oil quality evaluation. Supplementary Information The online version contains supplementary material available at 10.1007/s10068-021-00973-1.
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Affiliation(s)
- Di Duan
- Center of Guangdong Higher Education for Engineering and Technological Development of Specialty Condiments, Department of Food and Biological Engineering, Guangdong Industry Technical College, Guangzhou, 510300 China
| | - Yong Huang
- Center of Guangdong Higher Education for Engineering and Technological Development of Specialty Condiments, Department of Food and Biological Engineering, Guangdong Industry Technical College, Guangzhou, 510300 China
| | - Ying Zou
- Center of Guangdong Higher Education for Engineering and Technological Development of Specialty Condiments, Department of Food and Biological Engineering, Guangdong Industry Technical College, Guangzhou, 510300 China
| | - Bingju He
- Center of Guangdong Higher Education for Engineering and Technological Development of Specialty Condiments, Department of Food and Biological Engineering, Guangdong Industry Technical College, Guangzhou, 510300 China
| | - Ruihui Tang
- Center of Guangdong Higher Education for Engineering and Technological Development of Specialty Condiments, Department of Food and Biological Engineering, Guangdong Industry Technical College, Guangzhou, 510300 China
| | - Liuxia Yang
- Center of Guangdong Higher Education for Engineering and Technological Development of Specialty Condiments, Department of Food and Biological Engineering, Guangdong Industry Technical College, Guangzhou, 510300 China
| | - Zecao Zhang
- Center of Guangdong Higher Education for Engineering and Technological Development of Specialty Condiments, Department of Food and Biological Engineering, Guangdong Industry Technical College, Guangzhou, 510300 China
| | - Shucai Su
- Center of Guangdong Higher Education for Engineering and Technological Development of Specialty Condiments, Department of Food and Biological Engineering, Guangdong Industry Technical College, Guangzhou, 510300 China
| | - Guoping Wang
- Guangdong Fanlong Agricultural Technology Development Co., Ltd, Jieyang, 522000 China
| | - Deyi Zhang
- Guangdong Fanlong Agricultural Technology Development Co., Ltd, Jieyang, 522000 China
| | - Chunhui Zhou
- Center of Guangdong Higher Education for Engineering and Technological Development of Specialty Condiments, Department of Food and Biological Engineering, Guangdong Industry Technical College, Guangzhou, 510300 China
| | - Jing Li
- Center of Guangdong Higher Education for Engineering and Technological Development of Specialty Condiments, Department of Food and Biological Engineering, Guangdong Industry Technical College, Guangzhou, 510300 China
| | - Maocheng Deng
- Center of Guangdong Higher Education for Engineering and Technological Development of Specialty Condiments, Department of Food and Biological Engineering, Guangdong Industry Technical College, Guangzhou, 510300 China
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6
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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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7
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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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8
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Marx ÍM, Rodrigues N, Veloso AC, Casal S, Pereira JA, Peres AM. Effect of malaxation temperature on the physicochemical and sensory quality of cv. Cobrançosa olive oil and its evaluation using an electronic tongue. Lebensm Wiss Technol 2021. [DOI: 10.1016/j.lwt.2020.110426] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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9
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Pellegrini N, Vitaglione P, Granato D, Fogliano V. Twenty-five years of total antioxidant capacity measurement of foods and biological fluids: merits and limitations. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2020; 100:5064-5078. [PMID: 30578632 DOI: 10.1002/jsfa.9550] [Citation(s) in RCA: 64] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/04/2018] [Revised: 12/11/2018] [Accepted: 12/18/2018] [Indexed: 06/09/2023]
Abstract
This review summarises 25 years of investigations on antioxidants research in foods and biological fluids and critically analyses the merits and limitations of using the total antioxidant capacity (TAC) measurement in the metabolomic era. An enormous bulk of knowledge was produced regarding the antioxidant capacity of foods and large TAC databases were developed. A direct link between a food TAC value and any health benefit is erroneous and has led to several cases of consumer deception. However, the striking epidemiological evidence associating a high dietary TAC with some disease prevention and the availability of well-constructed TAC databases deserve attention and must be taken into account to establish the usefulness of measuring TAC in both foods and biological samples. The in vivo TAC measurement, usually performed in plasma, is influenced by many external factors, such as dietary habits, as well as environmental and behavioural factors, which are integrated towards homeostatic control by fine physiological mechanisms with high inter-individual variability. Therefore, plasma TAC cannot be considered as a unique biomarker of individual antioxidant status. However, the combined evaluation of plasma TAC with known markers of disease, individual metabolism, inflammation and genetics, as well as with markers of gut microbiota composition and activity, may lead to the identification of populations that are more responsive to food/diet TAC. In this framework, the appropriate use of TAC measurement both in food and in vivo can still provide support for the interpretation of complex phenomena and be a tool for sample screening when making a quick decision toward in-depth research investigations. © 2018 Society of Chemical Industry.
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Affiliation(s)
- Nicoletta Pellegrini
- Department of Food and Drug, University of Parma, Parma, Italy
- Food Quality and Design Group, Wageningen University and Research, Wageningen, The Netherlands
| | - Paola Vitaglione
- Department of Agricultural Sciences, University of Naples 'Federico II', Portici, Italy
| | - Daniel Granato
- Department of Food Engineering, State University of Ponta Grossa, Ponta Grossa, Brazil
| | - Vincenzo Fogliano
- Food Quality and Design Group, Wageningen University and Research, Wageningen, The Netherlands
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10
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Jurado-Campos N, Arroyo-Manzanares N, Viñas P, Arce L. Quality authentication of virgin olive oils using orthogonal techniques and chemometrics based on individual and high-level data fusion information. Talanta 2020; 219:121260. [DOI: 10.1016/j.talanta.2020.121260] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Revised: 05/26/2020] [Accepted: 05/28/2020] [Indexed: 11/25/2022]
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11
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Quintanilla-Casas B, Marin M, Guardiola F, García-González DL, Barbieri S, Bendini A, Gallina Toschi T, Vichi S, Tres A. Supporting the Sensory Panel to Grade Virgin Olive Oils: An In-House-Validated Screening Tool by Volatile Fingerprinting and Chemometrics. Foods 2020; 9:foods9101509. [PMID: 33096623 PMCID: PMC7593957 DOI: 10.3390/foods9101509] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 10/12/2020] [Accepted: 10/19/2020] [Indexed: 12/16/2022] Open
Abstract
The commercial category of virgin olive oil is currently assigned on the basis of chemical-physical and sensory parameters following official methods. Considering the limited number of samples that can be analysed daily by a sensory panel, an instrumental screening tool could be supportive by reducing the assessors’ workload and improving their performance. The present work aims to in-house validate a screening strategy consisting of two sequential binary partial least squares-discriminant analysis (PLS-DA) models that was suggested to be successful in a proof-of-concept study. This approach is based on the volatile fraction fingerprint obtained by HS-SPME–GC–MS from more than 300 virgin olive oils from two crop seasons graded by six different sensory panels into extra virgin, virgin or lampante categories. Uncertainty ranges were set for the binary classification models according to sensitivity and specificity by means of receiver operating characteristics (ROC) curves, aiming to identify boundary samples. Thereby, performing the screening approach, only the virgin olive oils classified as uncertain (23.3%) would be assessed by a sensory panel, while the rest would be directly classified into a given commercial category (78.9% of correct classification). The sensory panel’s workload would be reduced to less than one-third of the samples. A highly reliable classification of samples would be achieved (84.0%) by combining the proposed screening tool with the reference method (panel test) for the assessment of uncertain samples.
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Affiliation(s)
- Beatriz Quintanilla-Casas
- Departament de Nutrició, Ciències de l’Alimentació i Gastronomia, Campus de l’Alimentació de Torribera, Facultat de Farmacia i Ciències de l’Alimentació, Universitat de Barcelona, 08921 Santa Coloma de Gramenet, Spain; (B.Q.-C.); (M.M.); (F.G.); (A.T.)
- Institut de Recerca en Nutrició i Seguretat Alimentària (INSA-UB), Universitat de Barcelona (UB), 08921 Santa Coloma de Gramenet, Spain
| | - Marco Marin
- Departament de Nutrició, Ciències de l’Alimentació i Gastronomia, Campus de l’Alimentació de Torribera, Facultat de Farmacia i Ciències de l’Alimentació, Universitat de Barcelona, 08921 Santa Coloma de Gramenet, Spain; (B.Q.-C.); (M.M.); (F.G.); (A.T.)
- Institut de Recerca en Nutrició i Seguretat Alimentària (INSA-UB), Universitat de Barcelona (UB), 08921 Santa Coloma de Gramenet, Spain
| | - Francesc Guardiola
- Departament de Nutrició, Ciències de l’Alimentació i Gastronomia, Campus de l’Alimentació de Torribera, Facultat de Farmacia i Ciències de l’Alimentació, Universitat de Barcelona, 08921 Santa Coloma de Gramenet, Spain; (B.Q.-C.); (M.M.); (F.G.); (A.T.)
- Institut de Recerca en Nutrició i Seguretat Alimentària (INSA-UB), Universitat de Barcelona (UB), 08921 Santa Coloma de Gramenet, Spain
| | | | - Sara Barbieri
- Department of Agricultural and Food Science, Alma Mater Studiorum-Università di Bologna, 47521 Cesena, Italy; (S.B.); (A.B.); (T.G.T.)
| | - Alessandra Bendini
- Department of Agricultural and Food Science, Alma Mater Studiorum-Università di Bologna, 47521 Cesena, Italy; (S.B.); (A.B.); (T.G.T.)
| | - Tullia Gallina Toschi
- Department of Agricultural and Food Science, Alma Mater Studiorum-Università di Bologna, 47521 Cesena, Italy; (S.B.); (A.B.); (T.G.T.)
| | - Stefania Vichi
- Departament de Nutrició, Ciències de l’Alimentació i Gastronomia, Campus de l’Alimentació de Torribera, Facultat de Farmacia i Ciències de l’Alimentació, Universitat de Barcelona, 08921 Santa Coloma de Gramenet, Spain; (B.Q.-C.); (M.M.); (F.G.); (A.T.)
- Institut de Recerca en Nutrició i Seguretat Alimentària (INSA-UB), Universitat de Barcelona (UB), 08921 Santa Coloma de Gramenet, Spain
- Correspondence:
| | - Alba Tres
- Departament de Nutrició, Ciències de l’Alimentació i Gastronomia, Campus de l’Alimentació de Torribera, Facultat de Farmacia i Ciències de l’Alimentació, Universitat de Barcelona, 08921 Santa Coloma de Gramenet, Spain; (B.Q.-C.); (M.M.); (F.G.); (A.T.)
- Institut de Recerca en Nutrició i Seguretat Alimentària (INSA-UB), Universitat de Barcelona (UB), 08921 Santa Coloma de Gramenet, Spain
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12
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Guilherme R, Rodrigues N, Marx ÍM, Dias LG, Veloso AC, Ramos AC, Peres AM, Pereira JA. Sweet peppers discrimination according to agronomic production mode and maturation stage using a chemical-sensory approach and an electronic tongue. Microchem J 2020. [DOI: 10.1016/j.microc.2020.105034] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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13
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Jarboui A, Marx ÍMG, Veloso ACA, Vilaça D, Correia DM, Dias LG, Mokkadem Y, Peres AM. An electronic tongue as a classifier tool for assessing perfume olfactory family and storage time-period. Talanta 2019; 208:120364. [PMID: 31816761 DOI: 10.1016/j.talanta.2019.120364] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2019] [Revised: 09/13/2019] [Accepted: 09/15/2019] [Indexed: 10/26/2022]
Abstract
The identification of more than three perfumes is difficult and no analytical tool can completely replace the human olfactory system for fragrance classification. Indeed, no analytical system can mimic the human fragrance perception, being the recognition of perfume aroma patterns by conventional or sensor-based analytical tools a challenging task. For the perfume sector, the possibility of applying fast, cost-effective and green analytical devices for perfume analysis would represent a huge economic revenue. Since the perfume aroma pattern will depend on the composition of the liquid phase and on the diffusion properties of their volatile components, this work aimed to apply a potentiometric electronic tongue, comprising non-specific cross-sensitive lipid polymeric membranes, combined with chemometric techniques, as a novel perfume classifier. The multisensors device allowed establishing perfumes' unique fingerprints, which were successfully used to discriminate men from women perfumes, to identify the perfume aroma family (Citric-Aromatic, Floral, Floral-Fruity, Floral-Oriental, Floral-Woody, Woody-Oriental and Woody-Spicy) and, assessing the perfume storage time-period (≤ 9 months; 9-24 months; and, ≥ 24 months). The established linear discriminant models were based on single-run potentiometric profiles gathered by sub-sets of sensors selected using the simulated annealing algorithm, which enabled achieving correct classification rates of 93-100% (for leave-one-out cross-validation procedure). The satisfactory performance of the electronic tongue demonstrates the versatility of the proposed approach as a practical perfume preliminary classifier sensor device, which industrial application may be foreseen in a near future, contributing to a green-sustained economic growth of the perfume industry.
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Affiliation(s)
- Amira Jarboui
- Centro de Investigação de Montanha (CIMO), ESA, Instituto Politécnico de Bragança, Campus Santa Apolónia, 5300-253, Bragança, Portugal; Université Libre de Tunis, Avenue Khéreddine - Pacha Tunis, 30, 1002, Tunis, Tunisia
| | - Ítala M G Marx
- Centro de Investigação de Montanha (CIMO), ESA, Instituto Politécnico de Bragança, Campus Santa Apolónia, 5300-253, Bragança, Portugal; LAQV/REQUIMTE, Laboratory of Bromatology and Hydrology, Faculty of Pharmacy, University of Porto, Rua de Jorge Viterbo Ferreira, 228, 4050-313, Porto, Portugal
| | - Ana C A Veloso
- Instituto Politécnico de Coimbra, ISEC, DEQB, Rua Pedro Nunes, Quinta da Nora, 3030-199, Coimbra, Portugal; CEB - Centre of Biological Engineering, University of Minho, Campus de Gualtar, 4710-057, Braga, Portugal
| | - Daniel Vilaça
- NORTEMPRESA Perfume Lab, Rua Parque Bouça das Mouras, 56, 4715-216, Braga, Portugal
| | - Daniela M Correia
- CEB - Centre of Biological Engineering, University of Minho, Campus de Gualtar, 4710-057, Braga, Portugal; NORTEMPRESA Perfume Lab, Rua Parque Bouça das Mouras, 56, 4715-216, Braga, Portugal
| | - Luís G Dias
- Centro de Investigação de Montanha (CIMO), ESA, Instituto Politécnico de Bragança, Campus Santa Apolónia, 5300-253, Bragança, Portugal
| | - Yassin Mokkadem
- Université Libre de Tunis, Avenue Khéreddine - Pacha Tunis, 30, 1002, Tunis, Tunisia
| | - António M Peres
- Centro de Investigação de Montanha (CIMO), ESA, Instituto Politécnico de Bragança, Campus Santa Apolónia, 5300-253, Bragança, Portugal; Laboratory of Separation and Reaction Engineering - Laboratory of Catalysis and Materials (LSRE-LCM), ESA, Instituto Politécnico de Bragança, Campus Santa Apolónia, 5300-253, Bragança, Portugal.
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14
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Unmasking Sensory Defects of Olive Oils Flavored with Basil and Oregano Using an Electronic Tongue‐Chemometric Tool. J AM OIL CHEM SOC 2019. [DOI: 10.1002/aocs.12249] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
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15
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Electrochemical Sensor-Based Devices for Assessing Bioactive Compounds in Olive Oils: A Brief Review. ELECTRONICS 2018. [DOI: 10.3390/electronics7120387] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Electrochemical bioinspired sensor devices combined with chemometric tools have experienced great advances in the last years, being extensively used for food qualitative and quantitative evaluation, namely for olive oil analysis. Olive oil plays a key role in the Mediterranean diet, possessing unique and recognized nutritional and health properties as well as highly appreciated organoleptic characteristics. These positive attributes are mainly due to olive oil richness in bioactive compounds such as phenolic compounds. In addition, these compounds enhance their overall sensory quality, being mainly responsible for the usual olive oil pungency and bitterness. This review aims to compile and discuss the main research advances reported in the literature regarding the use of electrochemical sensor based-devices for assessing bioactive compounds in olive oil. The main advantages and limitations of these fast, accurate, bioinspired voltammetric, potentiometric and/or amperometric sensor green-approaches will be addressed, aiming to establish the future challenges for becoming a practical quality analytical tool for industrial and commercial applications.
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16
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Rodrigues N, Oliveira L, Mendanha L, Sebti M, Dias LG, Oueslati S, Veloso ACA, Pereira JA, Peres AM. Olive Oil Quality and Sensory Changes During House-Use Simulation and Temporal Assessment Using an Electronic Tongue. J AM OIL CHEM SOC 2018. [DOI: 10.1002/aocs.12093] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Nuno Rodrigues
- Centro de Investigação de Montanha (CIMO), ESA; Instituto Politécnico de Bragança, Campus Santa Apolónia; 5300-253 Bragança Portugal
- Departamento de Ingeniería Agrária; Universidad de Léon, Av. Portugal, n° 41; 24071 Léon Spain
| | - Letícia Oliveira
- Centro de Investigação de Montanha (CIMO), ESA; Instituto Politécnico de Bragança, Campus Santa Apolónia; 5300-253 Bragança Portugal
- Instituto Federal de Educação Ciência e Tecnologia Fluminense, Bom Jesus do Itabapoana; 28360-000 Rio de Janeiro Brazil
| | - Lorena Mendanha
- Centro de Investigação de Montanha (CIMO), ESA; Instituto Politécnico de Bragança, Campus Santa Apolónia; 5300-253 Bragança Portugal
- Instituto Federal de Educação Ciência e Tecnologia Fluminense, Bom Jesus do Itabapoana; 28360-000 Rio de Janeiro Brazil
| | - Mohamed Sebti
- Centro de Investigação de Montanha (CIMO), ESA; Instituto Politécnico de Bragança, Campus Santa Apolónia; 5300-253 Bragança Portugal
- Laboratoire Materiaux, Molécules et Applications (LMMA); Institut Préparatoire aux Etudes Scientifiques et Techniques (IPEST), BP 51; 2070 La Marsa Tunisia
| | - Luís G. Dias
- Centro de Investigação de Montanha (CIMO), ESA; Instituto Politécnico de Bragança, Campus Santa Apolónia; 5300-253 Bragança Portugal
| | - Souheib Oueslati
- Laboratoire Materiaux, Molécules et Applications (LMMA); Institut Préparatoire aux Etudes Scientifiques et Techniques (IPEST), BP 51; 2070 La Marsa Tunisia
| | - Ana C. A. Veloso
- Instituto Politécnico de Coimbra, ISEC, Departamento de Engenharia Quëmica e Biológica (DEQB), Rua Pedro Nunes, Quinta da Nora; 3030-199 Coimbra Portugal
- CEB-Centre of Biological Engineering; University of Minho, Campus de Gualtar; 4710-057 Braga Portugal
| | - José A. Pereira
- Centro de Investigação de Montanha (CIMO), ESA; Instituto Politécnico de Bragança, Campus Santa Apolónia; 5300-253 Bragança Portugal
| | - António M. Peres
- Centro de Investigação de Montanha (CIMO), ESA; Instituto Politécnico de Bragança, Campus Santa Apolónia; 5300-253 Bragança Portugal
- Laboratory of Separation and Reaction Engineering-Laboratory of Catalysis and Materials (LSRE-LCM), ESA; Instituto Politécnico de Bragança, Campus Santa Apolónia; 5300-253 Bragança Portugal
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Application of a potentiometric electronic tongue for assessing phenolic and volatile profiles of Arbequina extra virgin olive oils. Lebensm Wiss Technol 2018. [DOI: 10.1016/j.lwt.2018.03.025] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
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18
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Dairy products discrimination according to the milk type using an electrochemical multisensor device coupled with chemometric tools. JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION 2018. [DOI: 10.1007/s11694-018-9855-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Olive Oil Total Phenolic Contents and Sensory Sensations Trends during Oven and Microwave Heating Processes and Their Discrimination Using an Electronic Tongue. J FOOD QUALITY 2018. [DOI: 10.1155/2018/7826428] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Olive oil has unique organoleptic attributes and its consumption is associated with nutritional and health benefits, which are mainly related to its rich composition in phenolic and volatile compounds. The use of olive oil in heat-induced cooking leads to deep reduction of phenolic and volatile concentrations and to changes of the sensory profiles. This work confirmed that oven and microwave heating significantly reduced total phenolic contents (P value < 0.0001, one-way ANOVA), more pronounced in the latter, together with a significant reduction of the intensity of fruity, sweet, bitter, pungent, and green attributes (P value < 0.0001, Kruskal-Wallis test), particularly for fruity and green sensations. Besides, bitter, fruity, green, and pungent intensities showed a linear dependency with the total phenolic contents (0.8075≤R-Pearson ≤ 0.9694). Finally, the potentiometric electronic tongue together with linear discriminant analysis-simulated annealing algorithm allowed satisfactory discrimination (sensitivities of 94±4%, for repeated K-fold cross-validation) of olive oils subjected to intense microwave heating (5–10 min, 160–205°C) from those processed under usual cooking conditions (oven heating during 15–60 min or microwave heating during 1.5–3 min, 72–165°C). This could be due to the different responses of the electronic tongue towards olive oils with diverse phenolic and sensory profiles.
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Souayah F, Rodrigues N, Veloso ACA, Dias LG, Pereira JA, Oueslati S, Peres AM. Discrimination of Olive Oil by Cultivar, Geographical Origin and Quality Using Potentiometric Electronic Tongue Fingerprints. J AM OIL CHEM SOC 2017. [DOI: 10.1007/s11746-017-3051-6] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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