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Sabater C, Calvete I, Vázquez X, Ruiz L, Margolles A. Tracing the origin and authenticity of Spanish PDO honey using metagenomics and machine learning. Int J Food Microbiol 2024; 421:110789. [PMID: 38879955 DOI: 10.1016/j.ijfoodmicro.2024.110789] [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: 02/09/2024] [Revised: 05/23/2024] [Accepted: 06/07/2024] [Indexed: 06/18/2024]
Abstract
The Protected Designation of Origin (PDO) indication for foods intends to guarantee the conditions of production and the geographical origin of regional products within the European Union. Honey products are widely consumed due to their health-promoting properties and there is a general interest in tracing their authenticity. In this regard, metagenomics sequencing and machine learning (ML) have been proposed as complementary technologies to improve the traceability methods of foods. Therefore, the aim of this study was to analyze the metagenomic profiles of Spanish honeys from three different PDOs (Granada, Tenerife and Villuercas-Ibores), and compare them with non-PDO honeys using ML models (PLS, RF, LOGITBOOST, and NNET). According to the results obtained, non-PDO honeys and Granada PDO showed higher beta diversity values than Tenerife and Villuercas-Ibores PDOs. ML classification of honey products allowed the identification of different microbial biomarkers of the geographical origin of honeys: Lactobacillus kunkeei, Parasaccharibacter apium and Lactobacillus helsingborgensis for PDO honeys and Paenibacillus larvae, Lactobacillus apinorum and Klebsiella pneumoniae for non-PDO honeys. In addition, potential microbial biomarkers of some honey varieties including L. kunkeei for Albaida and Retama del Teide varieties, and P. apium for Tajinaste variety, were identified. ML models were validated on an independent set of samples leading to high accuracy rates (above 90 %). This work demonstrates the potential of ML to differentiate different types of honey using metagenome-based methods, leading to high performance metrics. In addition, ML models discriminate both the geographical origin and variety of products corresponding to different PDOs and non-PDO products. Results here presented may contribute to develop enhanced traceability and authenticity methods that could be applied to a wide range of foods.
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Affiliation(s)
- Carlos Sabater
- Group of Functionality and Ecology of Beneficial Microorganisms (MicroHealth), Dairy Research Institute of Asturias (IPLA-CSIC), Paseo Río Linares s/n, 33300 Villaviciosa, Asturias, Spain; Health Research Institute of Asturias (ISPA), Avenida Hospital Universitario s/n, 33011 Oviedo, Asturias, Spain.
| | - Inés Calvete
- Group of Functionality and Ecology of Beneficial Microorganisms (MicroHealth), Dairy Research Institute of Asturias (IPLA-CSIC), Paseo Río Linares s/n, 33300 Villaviciosa, Asturias, Spain; Health Research Institute of Asturias (ISPA), Avenida Hospital Universitario s/n, 33011 Oviedo, Asturias, Spain
| | - Xenia Vázquez
- Group of Functionality and Ecology of Beneficial Microorganisms (MicroHealth), Dairy Research Institute of Asturias (IPLA-CSIC), Paseo Río Linares s/n, 33300 Villaviciosa, Asturias, Spain; Health Research Institute of Asturias (ISPA), Avenida Hospital Universitario s/n, 33011 Oviedo, Asturias, Spain
| | - Lorena Ruiz
- Group of Functionality and Ecology of Beneficial Microorganisms (MicroHealth), Dairy Research Institute of Asturias (IPLA-CSIC), Paseo Río Linares s/n, 33300 Villaviciosa, Asturias, Spain; Health Research Institute of Asturias (ISPA), Avenida Hospital Universitario s/n, 33011 Oviedo, Asturias, Spain
| | - Abelardo Margolles
- Group of Functionality and Ecology of Beneficial Microorganisms (MicroHealth), Dairy Research Institute of Asturias (IPLA-CSIC), Paseo Río Linares s/n, 33300 Villaviciosa, Asturias, Spain; Health Research Institute of Asturias (ISPA), Avenida Hospital Universitario s/n, 33011 Oviedo, Asturias, Spain
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2
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Grainger MNC, Klaus H, Hewitt N, Gan H, French AD. Graphical Discrimination of New Zealand Honey from International Honey Using Elemental Analysis. Biol Trace Elem Res 2024; 202:754-764. [PMID: 37119341 PMCID: PMC10764415 DOI: 10.1007/s12011-023-03680-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 04/21/2023] [Indexed: 05/01/2023]
Abstract
This study investigated the potential of utilising the elemental fingerprinting of honey to differentiate New Zealand (NZ) honey from that of international origin. Twenty elements were analysed by ICP-MS in 352 honeys from 34 various countries. Of these, 323 honeys (245 New Zealand honeys, 78 international) and two subsets of data (NZ and European origin, n = 306, and, NZ and Denmark/Germany, n = 280) were visualised using principal component analysis (PCA). For the NZ/Europe subset, 42.2% of data was explained in the first two principal components. Statistical classification rules were also derived using linear discriminant analysis (LDA) and decision tree analysis. Various combinations of elements were explored for classification, considering the effect of soil-derived elements and those from anthropogenic sources. A high degree of accuracy (at least 90%) for the characterisation of New Zealand honey was observed for all statistical models, showing the robustness of these analyses. When using decision tree analysis to distinguish New Zealand samples from international samples, a tree with five terminal nodes (using Cs, Ba and Rb) was created with 92.4% accuracy. This work has demonstrated that elemental fingerprints of honey are a promising tool for categorising New Zealand honey from other geographical locations.
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Affiliation(s)
- Megan N C Grainger
- School of Science, University of Waikato, Private Bag 3105, Hamilton, 3240, New Zealand.
| | - Hannah Klaus
- School of Science, University of Waikato, Private Bag 3105, Hamilton, 3240, New Zealand
| | - Nyssa Hewitt
- School of Science, University of Waikato, Private Bag 3105, Hamilton, 3240, New Zealand
| | - Han Gan
- Department of Mathematics, University of Waikato, Private Bag 3105, Hamilton, 3240, New Zealand
| | - Amanda D French
- School of Science, University of Waikato, Private Bag 3105, Hamilton, 3240, New Zealand
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3
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Ghidotti M, Papoci S, Pietretti D, Ždiniaková T, de la Calle Guntiñas MB. Use of elemental profiles determined by energy-dispersive X-ray fluorescence and multivariate analyses to detect adulteration in Ceylon cinnamon. Anal Bioanal Chem 2023; 415:5437-5449. [PMID: 37587311 PMCID: PMC10444698 DOI: 10.1007/s00216-023-04817-1] [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: 04/19/2023] [Revised: 06/16/2023] [Accepted: 06/20/2023] [Indexed: 08/18/2023]
Abstract
The price of Cinnamomum verum (Ceylon cinnamon) is around twice as high as that of the other cinnamon varieties commonly grouped under the name cassia cinnamon, making the former spice an attractive target for fraudsters. This work demonstrates that elemental profiles obtained by energy-dispersive X-ray fluorescence in combination with multivariate analyses can be used as a screening method to detect Ceylon cinnamon adulteration. Thirty-six elements were analysed in 52 commercially available cinnamon samples, 29 Ceylon, 8 cassia, and 15 for which no indication about variety was provided. Fifty-eight percent of the samples were either adulterated or did not meet international quality criteria. Four of the ground cinnamon samples labelled as Ceylon cinnamon were found to be pure cassia or a mixture with a high cassia content, and 26 samples were suspected of other types of adulteration including replacement of bark with other parts of the cinnamon tree. Headspace gas chromatography-mass spectrometry and ash determination by thermogravimetric analysis confirmed the conclusions reached by elemental analysis. Only one sample labelled as Ceylon cinnamon and that according to its volatile composition was cassia cinnamon was not flagged as suspicious by elemental analysis.
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Affiliation(s)
| | - Sergej Papoci
- European Commission, Joint Research Centre (JRC), Geel, Belgium
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4
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Panebianco S, Pellegriti MG, Finocchiaro C, Musumarra A, Barone G, Caggiani MC, Cirvilleri G, Lanzafame G, Pulvirenti A, Scordino A, Mazzoleni P. XRF analysis searching for fingerprint elemental profile in south-eastern Sicily tomatoes. Sci Rep 2023; 13:13739. [PMID: 37612357 PMCID: PMC10447457 DOI: 10.1038/s41598-023-40124-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Accepted: 08/04/2023] [Indexed: 08/25/2023] Open
Abstract
The implementation of analytical techniques able to certify food quality and origin in a fast and non-destructive way is becoming a widespread need in the agri-food sector. Among the physical non-destructive techniques, X-ray fluorescence (XRF) spectrometry is often used to analyze the elemental composition of biological samples. In this study, X-ray fluorescence (XRF) elemental profiles were measured on tomato samples belonging to different geographical areas in Sicily (Italy). The purpose of this investigation was aiming to establish a protocol for in-situ measurement and analysis able to provide quality assessment and traceability of PGI agri-food products, specifically sustaining health safety and self qualifying bio-chemical signature. In detail, sampling was performed in one of the most tomato productive area of south-eastern Sicily (Pachino district), characterised by a relative higher amount of Organic Carbon and Cation Exchange Capacity, and compared with samples from other growing areas of Sicily, falling in Ragusa province and Mt. Etna region. Experimental data were analyzed in the framework of multivariate analysis by using principal component analysis and further validated by discriminant analysis. The results show the presence of specific elemental signatures associated to several characterizing elements. This methodology establishes the possibility to disentangle a clear fingerprint pattern associated to the geographical origin of an agri-food product.
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Affiliation(s)
- Salvina Panebianco
- Dipartimento di Fisica e Astronomia, Università di Catania, Catania, Italy
- Dipartimento di Agricoltura, Alimentazione e Ambiente, Università di Catania, Catania, Italy
| | | | - Claudio Finocchiaro
- Dipartimento di Scienze Biologiche, Geologiche e Ambientali, Università di Catania, Catania, Italy
| | - Agatino Musumarra
- Dipartimento di Fisica e Astronomia, Università di Catania, Catania, Italy.
- Istituto Nazionale di Fisica Nucleare, Sezione di Catania, Catania, Italy.
| | - Germana Barone
- Dipartimento di Scienze Biologiche, Geologiche e Ambientali, Università di Catania, Catania, Italy
| | - Maria Cristina Caggiani
- Dipartimento di Scienze Biologiche, Geologiche e Ambientali, Università di Catania, Catania, Italy
| | - Gabriella Cirvilleri
- Dipartimento di Agricoltura, Alimentazione e Ambiente, Università di Catania, Catania, Italy
| | - Gabriele Lanzafame
- Dipartimento di Scienze Biologiche, Geologiche e Ambientali, Università di Catania, Catania, Italy
| | - Alfredo Pulvirenti
- Dipartimento di Medicina Clinica e Sperimentale, Unità Bioinformatica, Università di Catania, Catania, Italy
| | - Agata Scordino
- Dipartimento di Fisica e Astronomia, Università di Catania, Catania, Italy
- Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali del Sud, Catania, Italy
| | - Paolo Mazzoleni
- Dipartimento di Scienze Biologiche, Geologiche e Ambientali, Università di Catania, Catania, Italy
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Hur SH, Kim S, Kim H, Jeong S, Chung H, Kim YK, Kim HJ. Geographical discrimination of dried chili peppers using femtosecond laser ablation-inductively coupled plasma-mass spectrometry (fsLA-ICP-MS). Curr Res Food Sci 2023; 6:100532. [PMID: 37377492 PMCID: PMC10290993 DOI: 10.1016/j.crfs.2023.100532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 05/09/2023] [Accepted: 06/07/2023] [Indexed: 06/29/2023] Open
Abstract
This study presents a method for discriminating the geographical origin of dried chili peppers using femtosecond laser ablation-inductively coupled plasma-mass spectrometry (fsLA-ICP-MS) and multivariate analysis, such as orthogonal partial least squares discriminant analysis (OPLS-DA), heatmap analysis, and canonical discriminant analysis (CDA). Herein, 102 samples were analyzed for the content of 33 elements using optimized conditions of 200 Hz (repetition rate), 50 μm (spot size), and 90% (energy). Significant differences in count per second (cps) values of the elements were observed between domestic and imported peppers, with variations of up to 5.66 times (133Cs). The OPLS-DA model accuracy achieved an R2 of 0.811 and a Q2 of 0.733 for distinguishing dried chili peppers of different geographical origins. The variable importance in projection (VIP) and s-plot identified elements 10 and 3 as key to the OPLS-DA model, and in the heatmap, six elements were estimated to be significant in discriminating between domestic and imported samples. Furthermore, CDA showed a high accuracy of 99.02%. This method can ensure food safety for consumers, and accurately determine the geographic origin of agricultural products.
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Affiliation(s)
- Suel Hye Hur
- National Agricultural Products Quality Management Service, Gimcheon, 39660, Republic of Korea
| | - Seyeon Kim
- National Agricultural Products Quality Management Service, Gimcheon, 39660, Republic of Korea
| | - Hyoyoung Kim
- National Agricultural Products Quality Management Service, Gimcheon, 39660, Republic of Korea
| | - Seongsoo Jeong
- Department of Chemistry and Research Institute for Convergence of Basic Science, Hanyang University, Seoul, 04763, Republic of Korea
| | - Hoeil Chung
- Department of Chemistry and Research Institute for Convergence of Basic Science, Hanyang University, Seoul, 04763, Republic of Korea
| | - Yong-Kyoung Kim
- 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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Panebianco S, van Wijk E, Yan Y, Cirvilleri G, Continella A, Modica G, Musumarra A, Pellegriti MG, Scordino A. Applications of Delayed Luminescence for tomato fruit quality assessment across varied Sicilian cultivation zones. PLoS One 2023; 18:e0286383. [PMID: 37262025 DOI: 10.1371/journal.pone.0286383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 05/15/2023] [Indexed: 06/03/2023] Open
Abstract
The food industry places significant emphasis on ensuring quality and traceability as key components of a healthy diet. To cater to consumer demands, researchers have prioritized the development of analytical techniques that can rapidly and non-invasively provide data on quality parameters. In this study, we propose to use the Delayed Luminescence (DL), an ultra-weak and photo-induced emission of optical photons, as a tool for a rapid evaluation of quality profile associated with fruit ripening, in support of traditional analysis methods. Delayed Luminescence measurements have been performed on cherry tomatoes, with and without the PGI "Pomodoro di Pachino" certification, harvested from two different growing areas of south-eastern Sicily (Italy). Then, DL emissions were correlated with soluble solid content and titratable acidity values, which are known to affect the flavor, the commerciality and the maturity degree of tomato fruits. In addition, we evaluated the changes in the DL parameters with respect to the geographical origin of the cherry tomatoes, with the aim of testing the possibility of applying the technique for identification purposes. The signals of Delayed Luminescence appeared to be good indicators of the macromolecular structure of the biological system, revealing structural changes related to the content of total soluble solids present in the juice of tomatoes analyzed, and they appeared unsuitable for authenticating vegetable crops, since the differences in the photon yields emitted by tomato Lots were not related to territory of origin. Thus, our results suggest that DL can be used as a nondestructive indicator of important parameters linked to tomato fruit quality.
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Affiliation(s)
- Salvina Panebianco
- Dipartimento di Agricoltura, Alimentazione e Ambiente, Università di Catania, Catania, Italy
| | - Eduard van Wijk
- Department of Biophotonics, Meluna Research, Wageningen, Netherlands
| | - Yu Yan
- Department of Biophotonics, Meluna Research, Wageningen, Netherlands
| | - Gabriella Cirvilleri
- Dipartimento di Agricoltura, Alimentazione e Ambiente, Università di Catania, Catania, Italy
| | - Alberto Continella
- Dipartimento di Agricoltura, Alimentazione e Ambiente, Università di Catania, Catania, Italy
| | - Giulia Modica
- Dipartimento di Agricoltura, Alimentazione e Ambiente, Università di Catania, Catania, Italy
| | - Agatino Musumarra
- Dipartimento di Fisica e Astronomia, Università di Catania, Catania, Italy
- Istituto Nazionale di Fisica Nucleare - Sezione di Catania, Catania, Italy
| | | | - Agata Scordino
- Dipartimento di Fisica e Astronomia, Università di Catania, Catania, Italy
- Istituto Nazionale di Fisica Nucleare - Laboratori Nazionali del Sud, Catania, Italy
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7
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Soni K, Frew R, Kebede B. A review of conventional and rapid analytical techniques coupled with multivariate analysis for origin traceability of soybean. Crit Rev Food Sci Nutr 2023; 64:6616-6635. [PMID: 36734977 DOI: 10.1080/10408398.2023.2171961] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Soybean has developed a reputation as a superfood due to its nutrient profile, health benefits, and versatility. Since 1960, its demand has increased dramatically, going from a mere 17 MMT to almost 358 MMT in the production year 2021/22. These extremely high production rates have led to lower-than-expected product quality, adulteration, illegal trade, deforestation, and other concerns. This necessitates the development of an effective technology to confirm soybean's provenance. This is the first review that investigates current analytical techniques coupled with multivariate analysis for origin traceability of soybeans. The fundamentals of several analytical techniques are presented, assessed, compared, and discussed in terms of their operating specifics, advantages, and shortcomings. Additionally, significance of multivariate analysis in analyzing complex data has also been discussed.
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Affiliation(s)
- Khushboo Soni
- Department of Food Science, University of Otago, Dunedin, New Zealand
| | - Russell Frew
- Oritain Global Limited, Central Dunedin 9016, Dunedin, New Zealand
| | - Biniam Kebede
- Department of Food Science, University of Otago, Dunedin, New Zealand
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Galvan D, de Andrade JC, Effting L, Lelis CA, Melquiades FL, Bona E, Conte-Junior CA. Energy-dispersive X-ray fluorescence combined with chemometric tools applied to tomato and sweet pepper classification. Food Control 2023. [DOI: 10.1016/j.foodcont.2022.109326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/15/2022]
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9
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Panebianco S, Mazzoleni P, Barone G, Musumarra A, Pellegriti MG, Pulvirenti A, Scordino A, Cirvilleri G. Feasibility study of tomato fruit characterization by fast XRF analysis for quality assessment and food traceability. Food Chem 2022; 383:132364. [PMID: 35193091 DOI: 10.1016/j.foodchem.2022.132364] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 02/02/2022] [Accepted: 02/04/2022] [Indexed: 11/29/2022]
Abstract
Food product nutritional and sensory characteristics are often deeply linked to its territory of origin; therefore, its authentication by means of elemental composition becomes crucial for traceability and fighting food fraud. This study aims to establish a fast and reproducible procedure for origin and quality assessment of Sicilian tomato fruits, including PGI "Pomodoro di Pachino", by using the X-ray fluorescence (XRF) technique. Measurements were performed on different parts of PGI Pachino tomatoes belonging to the same production lot. Principal Component and Cluster Analyses show that the samples cluster accordingly with the production lot, disentangling the different parts of the fruit. This procedure, which uses XRF yield elemental pattern and statistical analysis, establishes a solid basis for characterizing elemental profiles by a fast XRF in-situ campaign, supporting the traceability system. The reliability of XRF results was confirmed by comparing elemental concentrations with ICP-MS measurements, performed for comparison, and tomato literature values.
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Affiliation(s)
- S Panebianco
- Dipartimento di Fisica e Astronomia, Università di Catania, Catania, Italy
| | - P Mazzoleni
- Dipartimento di Scienze Biologiche, Geologiche e Ambientali, Università di Catania, Italy.
| | - G Barone
- Dipartimento di Scienze Biologiche, Geologiche e Ambientali, Università di Catania, Italy
| | - A Musumarra
- Dipartimento di Fisica e Astronomia, Università di Catania, Catania, Italy; Istituto Nazionale di Fisica Nucleare, Sezione di Catania, Catania, Italy
| | - M G Pellegriti
- Istituto Nazionale di Fisica Nucleare, Sezione di Catania, Catania, Italy
| | - A Pulvirenti
- Dipartimento di Medicina Clinica e Sperimentale, Unità Bioinformatica, Università di Catania, Catania, Italy
| | - A Scordino
- Dipartimento di Fisica e Astronomia, Università di Catania, Catania, Italy; Istituto Nazionale di Fisica Nucleare - Laboratori Nazionali del Sud, Catania, Italy
| | - G Cirvilleri
- Dipartimento di Agricoltura, Alimentazione e Ambiente, Università di Catania, Italy
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Castillo Serna E, Agreda Bastidas JA, Gonzalez Ruiz V, García Toloza J. Evaluation of emeralds by their origin: Multivariate analysis - Infrared spectra. REVISTA COLOMBIANA DE QUÍMICA 2022. [DOI: 10.15446/rev.colomb.quim.v50n3.98674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Colombian emeralds, 26 from Palo Arañado (eastern emerald zone, Chivor district, Boyacá, Colombia), and 28 from Santo Domingo - La Pava mine (western emerald zone, Muzo district, Boyacá, Colombia), together with 30 from Kafubu - Zambia, were studied by reflectance Fourier transform infrared spectroscopy, principal component analysis, clustering, and partial least squares – discriminant analysis, in order to differentiate them by geographical origin. The spectra were smoothed and a baseline correction was made. The principal component analysis showed that the wavenumbers 2,474; 2,640; 2,686; 2,818; 5,448, and 6,815 cm-1 are the most significant in the first principal component and the most valuable in separating the emeralds by their geographical origin. This allowed us to completely discriminate emeralds from Santo Domingo and Zambia, while only five emeralds from Palo Arañado were 100 % differentiable from the other two groups of emeralds.
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Sakač M, Jovanov P, Marić A, Četojević-Simin D, Novaković A, Plavšić D, Škrobot D, Kovač R. Antioxidative, Antibacterial and Antiproliferative Properties of Honey Types from the Western Balkans. Antioxidants (Basel) 2022; 11:antiox11061120. [PMID: 35740017 PMCID: PMC9219755 DOI: 10.3390/antiox11061120] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 05/24/2022] [Accepted: 05/27/2022] [Indexed: 11/16/2022] Open
Abstract
This paper presents the physicochemical characteristics and antioxidative, antibacterial and antiproliferative effects of nineteen samples of different honey types (acacia, linden, heather, sunflower, phacelia, basil, anise, sage, chestnut, hawthorn, lavender and meadow) collected from different locations in the Western Balkans (Republic of Serbia, Kosovo, Bosnia and Herzegovina, and Northern Macedonia). Physicochemical parameters (moisture, pH, electrical conductivity, free acidity, and hydroxymethylfurfural [HMF]) were analysed. Based on the obtained results, all tested honey samples were in agreement with EU regulation. The antioxidant potential of honey samples was assessed by determination of total phenolic content (TPC) and evaluation of scavenging activity towards diphenilpicrylhydrazyl radicals (DPPH·). The highest phenolic content was found in basil honey (101 ± 2.72 mg GAE/100 g), while the lowest was registered in rapeseed honey (11.5 ± 0.70 mg GAE/100 g). Heather, anise, phacelia, sage, chestnut and lavender honey samples were also rich in TP, containing 80−100 mg GAE/100 g. DPPH scavenging activity varied among the samples being the highest for lavender honey (IC50 = 88.2 ± 2.11 mg/mL) and the lowest for rapeseed honey (IC50 = 646 ± 8.72 mg/mL). Antibacterial activity was estimated in vitro using agar diffusion tests and measuring minimal inhibitory concentration (MIC). Among investigated bacterial strains following resistant potencies were determined: Escherichia coli > Escherichia coli ATCC 8739 > Enterococcus faecalis > Proteus mirabilis > Staphylococcus aureus > Staphylococcus epidermidis. The linden honey from Fruška Gora (MIC values of 3.12% and 6.25% against Staphylococcus aureus and Staphylococcus epidermidis, respectively) and phacelia honey (MIC values of 6.25% and 3.12% against S.Staphylococcus aureus and Staphylococcus epidermidis, respectively) showed the strongest antibacterial activity. Antiproliferative activity was evaluated using the colorimetric sulforhodamine B (SRB) assay. The highest antiproliferative activity was obtained from linden honey sample 1 (IC50MCF7 = 7.46 ± 1.18 mg/mL and IC50HeLa =12.4 ± 2.00 mg/mL) and meadow sample 2 (IC50MCF7 = 12.0 ± 0.57 mg/mL, IC50HeLa = 16.9 ± 1.54 mg/mL and IC50HT−29 = 23.7 ± 1.33 mg/mL) towards breast (MCF7), cervix (HeLa) and colon (HT-29) cancer cells. Active components other than sugars contributed to cell growth activity.
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Affiliation(s)
- Marijana Sakač
- Institute of Food Technology in Novi Sad, University of Novi Sad, Bulevar cara Lazara 1, 21000 Novi Sad, Serbia; (M.S.); (P.J.); (A.N.); (D.P.); (D.Š.); (R.K.)
| | - Pavle Jovanov
- Institute of Food Technology in Novi Sad, University of Novi Sad, Bulevar cara Lazara 1, 21000 Novi Sad, Serbia; (M.S.); (P.J.); (A.N.); (D.P.); (D.Š.); (R.K.)
| | - Aleksandar Marić
- Institute of Food Technology in Novi Sad, University of Novi Sad, Bulevar cara Lazara 1, 21000 Novi Sad, Serbia; (M.S.); (P.J.); (A.N.); (D.P.); (D.Š.); (R.K.)
- Correspondence: ; Tel.: +381-21-485-3754
| | - Dragana Četojević-Simin
- Oncology Institute of Vojvodina, Put doktora Goldmana 4, 21204 Sremska Kamenica, Serbia;
- Department of Pharmacy, Singidunum University, Danijelova 32, 11000 Belgrade, Serbia
| | - Aleksandra Novaković
- Institute of Food Technology in Novi Sad, University of Novi Sad, Bulevar cara Lazara 1, 21000 Novi Sad, Serbia; (M.S.); (P.J.); (A.N.); (D.P.); (D.Š.); (R.K.)
| | - Dragana Plavšić
- Institute of Food Technology in Novi Sad, University of Novi Sad, Bulevar cara Lazara 1, 21000 Novi Sad, Serbia; (M.S.); (P.J.); (A.N.); (D.P.); (D.Š.); (R.K.)
| | - Dubravka Škrobot
- Institute of Food Technology in Novi Sad, University of Novi Sad, Bulevar cara Lazara 1, 21000 Novi Sad, Serbia; (M.S.); (P.J.); (A.N.); (D.P.); (D.Š.); (R.K.)
| | - Renata Kovač
- Institute of Food Technology in Novi Sad, University of Novi Sad, Bulevar cara Lazara 1, 21000 Novi Sad, Serbia; (M.S.); (P.J.); (A.N.); (D.P.); (D.Š.); (R.K.)
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Zaldarriaga Heredia J, Wagner M, Jofré FC, Savio M, Azcarate SM, Camiña JM. An overview on multi-elemental profile integrated with chemometrics for food quality assessment: toward new challenges. Crit Rev Food Sci Nutr 2022; 63:8173-8193. [PMID: 35319312 DOI: 10.1080/10408398.2022.2055527] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Food products, especially those with high value-added, are commonly subjected to strict quality controls, which are of paramount importance, especially for attesting to some peculiar features related, for instance, to their geographical origin and/or the know-how of their producers. However, the sophistication of fraudulent practices requires a continuous update of analytical platforms. Different analytical techniques have become extremely appealing since the instrumental analysis tools evolution has substantially improved the capability to reveal and understand the complexity of food. In light of this, multi-elemental composition has been successful implemented solving a plethora of food authentication and traceability issues. In the last decades, it has existed an ever-increasing trend in analysis based on spectrometry analytical platforms in order to obtain a multi-elemental profile that combined with chemometrics have been noteworthy analytical methodologies able to solve these problems. This review provides an overview of published reports in the last decade (from 2011 to 2021) on food authentication and quality control from their multi-element composition in order to evaluate the state-of-the-art of this field and to identify the main characteristics of applied analytical techniques and chemometric data treatments that have permit achieve accurate discrimination/classification models, highlighting the strengths and the weaknesses of these methodologies.
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Affiliation(s)
- Jorgelina Zaldarriaga Heredia
- Instituto de Ciencias de la Tierra y Ambientales de La Pampa (INCITAP-CONICET), Santa Rosa, La Pampa, Argentina
- Facultad de Ciencias Exactas y Naturales, Universidad Nacional de La Pampa (UNLPam), Santa Rosa, La Pampa, Argentina
| | - Marcelo Wagner
- Instituto de Ciencias de la Tierra y Ambientales de La Pampa (INCITAP-CONICET), Santa Rosa, La Pampa, Argentina
| | - Florencia Cora Jofré
- Instituto de Ciencias de la Tierra y Ambientales de La Pampa (INCITAP-CONICET), Santa Rosa, La Pampa, Argentina
- Facultad de Ciencias Exactas y Naturales, Universidad Nacional de La Pampa (UNLPam), Santa Rosa, La Pampa, Argentina
| | - Marianela Savio
- Instituto de Ciencias de la Tierra y Ambientales de La Pampa (INCITAP-CONICET), Santa Rosa, La Pampa, Argentina
- Facultad de Ciencias Exactas y Naturales, Universidad Nacional de La Pampa (UNLPam), Santa Rosa, La Pampa, Argentina
| | - Silvana Mariela Azcarate
- Instituto de Ciencias de la Tierra y Ambientales de La Pampa (INCITAP-CONICET), Santa Rosa, La Pampa, Argentina
- Facultad de Ciencias Exactas y Naturales, Universidad Nacional de La Pampa (UNLPam), Santa Rosa, La Pampa, Argentina
| | - José Manuel Camiña
- Instituto de Ciencias de la Tierra y Ambientales de La Pampa (INCITAP-CONICET), Santa Rosa, La Pampa, Argentina
- Facultad de Ciencias Exactas y Naturales, Universidad Nacional de La Pampa (UNLPam), Santa Rosa, La Pampa, Argentina
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Scatigno C, Festa G. A first elemental pattern and geo-discrimination of Italian EVOO by energy dispersive X-ray fluorescence and chemometrics. Microchem J 2021. [DOI: 10.1016/j.microc.2021.106863] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Voyslavov T, Mladenova E, Balkanska R. A New Approach for Determination of the Botanical Origin of Monofloral Bee Honey, Combining Mineral Content, Physicochemical Parameters, and Self-Organizing Maps. Molecules 2021; 26:molecules26237219. [PMID: 34885801 PMCID: PMC8659082 DOI: 10.3390/molecules26237219] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Revised: 11/20/2021] [Accepted: 11/25/2021] [Indexed: 11/28/2022] Open
Abstract
A new approach for the botanical origin determination of monofloral bee honey is developed. The methodology combines mineral content and physicochemical parameters determination with intelligent statistics such as self-organizing maps (SOMs). A total of 62 monofloral bee honey samples were analysed, including 31 linden, 14 rapeseed, 13 sunflower, and 4 acacia. All of them were harvested in 2018 and 2019 from trusted beekeepers, after confirming their botanical origin, using melissopalynological analysis. Nine physicochemical parameters were determined, including colour, water content, pH, electrical conductivity, hydroxymethylfurfural content, diastase activity, specific optical rotation, invertase activity, and proline. The content of thirty chemical elements (Ag, Al, As, B, Ba, Bi, Ca, Cd, Co, Cr, Cs, Cu, Fe, Ga, In, K, Li, Mg, Mn, Na, Ni, P, Pb, Rb, S, Se, Sr, Te, V, and Zn) was measured using ICP-OES, ICP-MS, and FAAS as instrumental techniques. The visualisation of the SOMs shows an excellent separation of honey samples in five well-defined clusters—linden, rapeseed, acacia, sunflower, and polyfloral honey—using the following set of 16 descriptors: diastase activity, hydroxymethylfurfural content, invertase activity, pH, specific optical rotation, water content, Al, B, Cr, Cs, K, Na, Ni, Rb, V, and Zn.
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Affiliation(s)
- Tsvetomil Voyslavov
- Department of Analytical Chemistry, Faculty of Chemistry and Pharmacy, Sofia University “St. Kliment Ohridski”, 1164 Sofia, Bulgaria;
- Correspondence:
| | - Elisaveta Mladenova
- Department of Analytical Chemistry, Faculty of Chemistry and Pharmacy, Sofia University “St. Kliment Ohridski”, 1164 Sofia, Bulgaria;
| | - Ralitsa Balkanska
- Department of Special Branches, Institute of Animal Science, 2232 Kostinbrod, Bulgaria;
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Discrimination and Recognition of Bentong Ginger Based on Multi-elemental Fingerprints and Chemometrics. FOOD ANAL METHOD 2021. [DOI: 10.1007/s12161-021-02167-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Becerril-Sánchez AL, Quintero-Salazar B, Dublán-García O, Escalona-Buendía HB. Phenolic Compounds in Honey and Their Relationship with Antioxidant Activity, Botanical Origin, and Color. Antioxidants (Basel) 2021; 10:1700. [PMID: 34829570 PMCID: PMC8614671 DOI: 10.3390/antiox10111700] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 10/23/2021] [Accepted: 10/24/2021] [Indexed: 02/02/2023] Open
Abstract
Honey has been employed since antiquity due to its sensory, nutritional, and therapeutic properties. These characteristics are related to its physical and chemical composition. For example, phenolic compounds are substances that can determine antioxidant activity, as well as sensory characteristics, and can be employed as biomarkers of floral and geographical origin. This has generated a growing interest in the study of phenolic compounds and their influence in the intrinsic properties of this beekeeping product. This review aims to summarize, analyze, and update the status of the research that demonstrates the role of phenolic compounds in antioxidant activity, botanical-geographical origin, and the sensory characteristics of honey. These phenolic compounds, according to various results reported, have great relevance in honey's biological and functional activity. This leads to research that will link phenolic compounds to their floral, geographical, productive, and territorial origin, as well as some sensory and functional characteristics.
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Affiliation(s)
- Ana L. Becerril-Sánchez
- Food and Environmental Toxicology Laboratory, Faculty of Chemistry, Universidad Autónoma del Estado de México, Toluca 50120, Mexico;
| | | | - Octavio Dublán-García
- Food and Environmental Toxicology Laboratory, Faculty of Chemistry, Universidad Autónoma del Estado de México, Toluca 50120, Mexico;
| | - Héctor B. Escalona-Buendía
- Sensory Evaluation and Consumer Studies Laboratory, Biotechnology Department, Universidad Autónoma Metropolitana, Mexico City 09340, Mexico;
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Rapid and Accurate Approach for Honeybee Pollen Analysis Using ED-XRF and FTIR Spectroscopy. Molecules 2021; 26:molecules26196024. [PMID: 34641568 PMCID: PMC8512728 DOI: 10.3390/molecules26196024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 09/24/2021] [Accepted: 09/29/2021] [Indexed: 11/28/2022] Open
Abstract
Since honeybee pollen is considered a “perfectly complete food” and is characterized by many beneficial properties (anti-inflammatory, antioxidant, anti-bacterial, etc.), it has begun to be used for therapeutic purposes. Consequently, there is a high need to develop methods for controlling its composition. A thorough bee pollen analysis can be very informative regarding its safety for consumption, the variability of its composition, its biogeographical origin, or harvest date. Therefore, in this study, two reliable and non-destructive spectroscopy methods, i.e., ED-XRF and ATR–FTIR, are proposed as a fast approach to characterize bee pollen. The collected samples were derived from apiaries located in west-central Poland. Additionally, some commercially available samples were analyzed. The applied methodology was optimized and combined with sophisticated chemometric tools. Data derived from IR analyses were also subjected to two-dimensional correlation spectroscopy. The developed ED-XRF method allowed the reliable quantification of eight macro- and micro-nutrients, while organic components were characterized by IR spectroscopy. Principal component analysis, cluster analysis, and obtained synchronous and asynchronous maps allowed the study of component changes occurring dependently on the date and location of harvest. The proposed approach proved to be an excellent tool to monitor the variability of the inorganic and organic content of bee pollen.
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Dumitrascu C, Fiamegos Y, de la Calle Guntiñas MB. Feasibility study on the use of elemental profiles to authenticate aromatic rice: the case of Basmati and Thai rice. Anal Bioanal Chem 2021; 413:4947-4957. [PMID: 34156492 PMCID: PMC8405519 DOI: 10.1007/s00216-021-03455-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 05/28/2021] [Accepted: 06/07/2021] [Indexed: 12/04/2022]
Abstract
Among the thousands of existing rice varieties, aromatic rice has increasingly attracted consumer’s preference in recent years. Within aromatic rice, Basmati, cultivated in some regions in Pakistan and India, is highly demanded. Other aromatic rice, cultivated in specific regions, for instance in Thailand (commonly referred to as Jasmine Thai rice), are also highly appreciated by consumers. In this work, the elemental profiles of commercially available rice samples (17 Basmati, 11 Thai, and 7 Long Grain rice) were determined by energy-dispersive X-ray fluorescence (ED-XRF) spectroscopy. The mass fractions of P, Cl, S, K, Fe, Cu, and Zn were significantly different (95% confidence interval) between Basmati and Thai rice and between Thai and Long Grain rice; only Cl, S, and Zn were significantly different between Basmati and Long Grain rice. Multivariate evaluation of the results combining soft independent modelling by class analogy (SIMCA) and partial least square discriminant analysis (PLS-DA) allowed the correct classification (true positives) of 94.1, 85.6, and 100% of the Basmati, Long Grain, and Thai rice, respectively. The specificity (true negatives) of Basmati, Long Grain, and Thai was 94.4, 82.1, and 100%, respectively.
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Affiliation(s)
- Catalina Dumitrascu
- European Commission, Joint Research Centre (JRC), Retieseweg 111, 2440, Geel, Belgium
- Antwerp University, Campus Drie Eiken, Universiteitsplein 1, D.S.552, 2610, Wilrijk, Belgium
| | - Yiannis Fiamegos
- European Commission, Joint Research Centre (JRC), Retieseweg 111, 2440, Geel, Belgium
- Research Executive Agency, European Commission, Place Rogier 16, 1210, Brussels, Belgium
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Fiamegos Y, Papoci S, Dumitrascu C, Ghidotti M, Zdiniakova T, Ulberth F, de la Calle Guntiñas MB. Are the elemental fingerprints of organic and conventional food different? ED-XRF as screening technique. J Food Compost Anal 2021; 99:103854. [PMID: 34083873 PMCID: PMC8080890 DOI: 10.1016/j.jfca.2021.103854] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 01/21/2021] [Accepted: 02/16/2021] [Indexed: 11/19/2022]
Abstract
Research has been conducted the last years to assess whether organically grown food is chemically different from produce of conventional agriculture and which markers are appropriate to discriminate between them. Most articles focus on one single food commodity, produced under strict controlled organic farming conditions, leaving open the question whether the difference would be seen when applied to the same commodity under different growing conditions. In this work 118 organic and 151 conventional samples of commercially available paprika powder, cinnamon, coffee, tea, chocolate, rice, wheat flour, cane sugar, coconut water, honey and bovine milk were characterised for their elemental composition using energy dispersive X-ray fluorescence. Resulting profiles were analysed using univariate and multivariate statistical techniques. Organic samples of a given commodity clustered together and were separated from their conventional counterparts. Differences in the elemental composition of food, could be used to develop statistical models for verifying the agronomical production system.
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Affiliation(s)
| | - Sergej Papoci
- European Commission, Joint Research Centre (JRC), Geel, Belgium
| | | | | | | | - Franz Ulberth
- European Commission, Joint Research Centre (JRC), Geel, Belgium
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