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Aspromonte J, Mascrez S, Eggermont D, Purcaro G. Solid-phase microextraction coupled to comprehensive multidimensional gas chromatography for food analysis. Anal Bioanal Chem 2024; 416:2221-2246. [PMID: 37999723 DOI: 10.1007/s00216-023-05048-0] [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: 09/14/2023] [Revised: 10/22/2023] [Accepted: 11/09/2023] [Indexed: 11/25/2023]
Abstract
Solid-phase microextraction and comprehensive multidimensional gas chromatography represent two milestone innovations that occurred in the field of separation science in the 1990s. They have a common root in their introduction and have found a perfect coupling in their evolution and applications. This review will focus on food analysis, where the paradigm has changed significantly over time, moving from a targeted analysis, focusing on a limited number of analytes at the time, to a more holistic approach for assessing quality in a larger sense. Indeed, not only some major markers or contaminants are considered, but a large variety of compounds and their possible interaction, giving rise to the field of foodomics. In order to obtain such detailed information and to answer more sophisticated questions related to food quality and authenticity, the use of SPME-GC × GC-MS has become essential for the comprehensive analysis of volatile and semi-volatile analytes. This article provides a critical review of the various applications of SPME-GC × GC in food analysis, emphasizing the crucial role this coupling plays in this field. Additionally, this review dwells on the importance of appropriate data treatment to fully harness the results obtained to draw accurate and meaningful conclusions.
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Affiliation(s)
- Juan Aspromonte
- Laboratorio de Investigación y Desarrollo de Métodos Analíticos, LIDMA, Facultad de Ciencias Exactas (Universidad Nacional de La Plata, CIC-PBA, CONICET), Calle 47 Esq. 115, 1900, La Plata, Argentina
| | - Steven Mascrez
- Gembloux Agro-Bio Tech, University of Liège, Passage Des Déportés, 2, B-5030, Gembloux, Belgium
| | - Damien Eggermont
- Gembloux Agro-Bio Tech, University of Liège, Passage Des Déportés, 2, B-5030, Gembloux, Belgium
| | - Giorgia Purcaro
- Gembloux Agro-Bio Tech, University of Liège, Passage Des Déportés, 2, B-5030, Gembloux, Belgium.
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2
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Squara S, Caratti A, Fina A, Liberto E, Spigolon N, Genova G, Castello G, Cincera I, Bicchi C, Cordero C. Artificial Intelligence decision-making tools based on comprehensive two-dimensional gas chromatography data: the challenge of quantitative volatilomics in food quality assessment. J Chromatogr A 2023; 1700:464041. [PMID: 37150088 DOI: 10.1016/j.chroma.2023.464041] [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: 03/14/2023] [Revised: 04/18/2023] [Accepted: 04/28/2023] [Indexed: 05/09/2023]
Abstract
Effective investigation of food volatilome by comprehensive two-dimensional gas chromatography with parallel detection by mass spectrometry and flame ionization detector (GC×GC-MS/FID) gives access to valuable information related to industrial quality. However, without accurate quantitative data, results transferability over time and across laboratories is prevented. The study applies quantitative volatilomics by multiple headspace solid phase microextraction (MHS-SPME) to a large selection of hazelnut samples (Corylus avellana L. n = 207) representing the top-quality selection of interest for the confectionery industry. By untargeted and targeted fingerprinting, performant classification models validate the role of chemical patterns strongly correlated to quality parameters (i.e., botanical/geographical origin, post-harvest practices, storage time and conditions). By quantification of marker analytes, Artificial Intelligence (AI) tools are derived: the augmented smelling based on sensomics with blueprint related to key-aroma compounds and spoilage odorant; decision-makers for rancidity level and storage quality; origin tracers. By reliable quantification AI can be applied with confidence and could be the driver for industrial strategies.
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Affiliation(s)
- Simone Squara
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Via Pietro Giuria 9, Torino 10125, Italy
| | - Andrea Caratti
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Via Pietro Giuria 9, Torino 10125, Italy
| | - Angelica Fina
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Via Pietro Giuria 9, Torino 10125, Italy
| | - Erica Liberto
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Via Pietro Giuria 9, Torino 10125, Italy
| | - Nicola Spigolon
- Soremartec Italia Srl, Piazzale Ferrero 1, Alba, Cuneo 12051, Italy
| | - Giuseppe Genova
- Soremartec Italia Srl, Piazzale Ferrero 1, Alba, Cuneo 12051, Italy
| | | | - Irene Cincera
- Soremartec Italia Srl, Piazzale Ferrero 1, Alba, Cuneo 12051, Italy
| | - Carlo Bicchi
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Via Pietro Giuria 9, Torino 10125, Italy
| | - Chiara Cordero
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Via Pietro Giuria 9, Torino 10125, Italy.
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Nolvachai Y, Amaral MSS, Marriott PJ. Foods and Contaminants Analysis Using Multidimensional Gas Chromatography: An Update of Recent Studies, Technology, and Applications. Anal Chem 2023; 95:238-263. [PMID: 36625115 DOI: 10.1021/acs.analchem.2c04680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Affiliation(s)
- Yada Nolvachai
- Australian Centre for Research on Separation Science, School of Chemistry, Monash University, Wellington Road, Clayton, Victoria 3800, Australia
| | - Michelle S S Amaral
- Australian Centre for Research on Separation Science, School of Chemistry, Monash University, Wellington Road, Clayton, Victoria 3800, Australia
| | - Philip J Marriott
- Australian Centre for Research on Separation Science, School of Chemistry, Monash University, Wellington Road, Clayton, Victoria 3800, Australia
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Stilo F, Alladio E, Squara S, Bicchi C, Vincenti M, Reichenbach SE, Cordero C, Bizzo HR. Delineating unique and discriminant chemical traits in Brazilian and Italian extra-virgin olive oils by quantitative 2D-fingerprinting and pattern recognition algorithms. J Food Compost Anal 2023. [DOI: 10.1016/j.jfca.2022.104899] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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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: 5] [Impact Index Per Article: 1.7] [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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Stilo F, Jiménez-Carvelo AM, Liberto E, Bicchi C, Reichenbach SE, Cuadros-Rodríguez L, Cordero C. Chromatographic Fingerprinting Enables Effective Discrimination and Identitation of High-Quality Italian Extra-Virgin Olive Oils. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2021; 69:8874-8889. [PMID: 34319731 PMCID: PMC8389832 DOI: 10.1021/acs.jafc.1c02981] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 07/13/2021] [Accepted: 07/13/2021] [Indexed: 05/21/2023]
Abstract
The challenging process of high-quality food authentication takes advantage of highly informative chromatographic fingerprinting and its identitation potential. In this study, the unique chemical traits of the complex volatile fraction of extra-virgin olive oils from Italian production are captured by comprehensive two-dimensional gas chromatography coupled to time-of-flight mass spectrometry and explored by pattern recognition algorithms. The consistent realignment of untargeted and targeted features of over 73 samples, including oils obtained by different olive cultivars (n = 24), harvest years (n = 3), and processing technologies, provides a solid foundation for sample identification and discrimination based on production region (n = 6). Through a dedicated multivariate statistics workflow, identitation is achieved by two-level partial least-square (PLS) regression, which highlights region diagnostic patterns accounting between 58 and 82 of untargeted and targeted compounds, while sample classification is performed by sequential application of soft independent modeling for class analogy (SIMCA) models, one for each production region. Samples are correctly classified in five of the six single-class models, and quality parameters [i.e., sensitivity, specificity, precision, efficiency, and area under the receiver operating characteristic curve (AUC)] are equal to 1.00.
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Affiliation(s)
- Federico Stilo
- Dipartimento
di Scienza e Tecnologia del Farmaco, Università
degli Studi di Torino, Via Pietro Giuria 9, Torino I-10125, Italy
| | - Ana M. Jiménez-Carvelo
- Department
of Analytical Chemistry, Faculty of Science, University of Granada, Av. Fuentenueva S/N, Granada E-18071, Spain
- . Phone: +39 011 6707172
| | - Erica Liberto
- Dipartimento
di Scienza e Tecnologia del Farmaco, Università
degli Studi di Torino, Via Pietro Giuria 9, Torino I-10125, Italy
| | - Carlo Bicchi
- Dipartimento
di Scienza e Tecnologia del Farmaco, Università
degli Studi di Torino, Via Pietro Giuria 9, Torino I-10125, Italy
| | - Stephen E. Reichenbach
- University
of Nebraska, Lincoln, Nebraska 68588, United
States
- GC
Image LLC, Lincoln, Nebraska 68508, United
States
| | - Luis Cuadros-Rodríguez
- Department
of Analytical Chemistry, Faculty of Science, University of Granada, Av. Fuentenueva S/N, Granada E-18071, Spain
| | - Chiara Cordero
- Dipartimento
di Scienza e Tecnologia del Farmaco, Università
degli Studi di Torino, Via Pietro Giuria 9, Torino I-10125, Italy
- . Phone: +34 958240797
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Purcaro G, Beccaria M. Advanced Analytical Techniques in Food Analysis. J AOAC Int 2021; 104:251-252. [PMID: 34020457 DOI: 10.1093/jaoacint/qsaa159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Affiliation(s)
- Giorgia Purcaro
- (Corresponding author), Gembloux Agro-Bio Tech, University of Liege, Belgium
| | - Marco Beccaria
- (Corresponding author), MolSys Research Unit, University of Liege, Belgium
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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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