251
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FTIR-ATR determination of protein content to evaluate whey protein concentrate adulteration. Lebensm Wiss Technol 2019. [DOI: 10.1016/j.lwt.2018.09.079] [Citation(s) in RCA: 72] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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252
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Hu L, Yin C, Ma S, Liu Z. Comparison and application of fluorescence EEMs and DRIFTS combined with chemometrics for tracing the geographical origin of Radix Astragali. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2018; 205:207-213. [PMID: 30015027 DOI: 10.1016/j.saa.2018.07.033] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2018] [Revised: 07/08/2018] [Accepted: 07/10/2018] [Indexed: 06/08/2023]
Abstract
Selection of the appropriate method for traceability may be of great interest for the characterization of food authenticity and to reveal falsifications. The possibility of tracing the geographical origins of Radix Astragali based on diffuse reflectance mid-infrared Fourier transform spectroscopy (DRIFTS) technique and fluorescence fingerprints (EEMs) technique was investigated in this work. DRIFTS technique combined with PCA and PLS-DA and EEMs technique combined with M-PCA and N-PLS-DA were used to determine the geographical origin of Radix Astragali samples, respectively. DRIFTS-PLS-DA provided total recognition rates of 98.4% for all Radix Astragali samples in the training sets and 94.6% in the predicted sets. Compared with the DRIFTS, EEMs combined with chemometrics obtained more accurate recognition results. The total recognition rates (RRs) of the training sets and prediction sets obtained with EEMs-N-PLS-DA were all 100%. The good classification results of fluorescence fingerprints technique should be attributed mainly to two reasons. One reason is that three-dimensional fluorescence spectrum can provide more information than two-dimensional DRIFTS, and the other reason is that fluorescence spectrum has higher sensitivity and selectivity than the DRIFTS. Therefore, fluorescence fingerprint (EEMs) technique combined with chemometrics results more adequate for tracing the food geographical origin. It should be noted that the more the analysis target contains fluorescent substances, the more accurate results are obtained by using the fluorescent fingerprint method. Conversely, if the classification object contains very few fluorescent substances, the classification result may not be as good as the DRIFTS method. Furthermore, due to relatively cumbersome operation of fluorescence method, EEMs fluorescence method is unsuitable for rapid analysis as compared to infrared method.
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Affiliation(s)
- Leqian Hu
- College of Chemistry, Chemical and Environmental Engineering, Henan University of Technology, Zhengzhou 450001, China.
| | - Chunling Yin
- College of Chemistry, Chemical and Environmental Engineering, Henan University of Technology, Zhengzhou 450001, China
| | - Shuai Ma
- College of Chemistry, Chemical and Environmental Engineering, Henan University of Technology, Zhengzhou 450001, China
| | - Zhimin Liu
- College of Chemistry, Chemical and Environmental Engineering, Henan University of Technology, Zhengzhou 450001, China
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253
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Pereira CG, Andrade J, Ranquine T, de Moura IN, da Rocha RA, Furtado MAM, Bell MJV, Anjos V. Characterization and detection of adulterated whey protein supplements using stationary and time-resolved fluorescence spectroscopy. Lebensm Wiss Technol 2018. [DOI: 10.1016/j.lwt.2018.06.050] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
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254
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A review on the application of chromatographic methods, coupled to chemometrics, for food authentication. Food Control 2018. [DOI: 10.1016/j.foodcont.2018.06.015] [Citation(s) in RCA: 94] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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255
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Koutrotsios G, Danezis GP, Georgiou CA, Zervakis GI. Rare earth elements concentration in mushroom cultivation substrates affects the production process and fruit-bodies content of Pleurotus ostreatus and Cyclocybe cylindracea. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2018; 98:5418-5427. [PMID: 29675903 DOI: 10.1002/jsfa.9085] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2018] [Revised: 02/24/2018] [Accepted: 04/20/2018] [Indexed: 05/27/2023]
Abstract
BACKGROUND Concentrations of 16 rare earth elements (REEs) and two actinides were determined for the first time both in cultivated mushrooms and in their production substrates by inductively coupled plasma mass spectroscopy. Moreover, the effect of REEs on cultivation parameters and composition of the final product was assessed, together with their potential use for authentication purposes. RESULTS The concentrations of REEs varied greatly among seven cultivation substrates and correlated with measurements in Cyclocybe cylindracea mushrooms; no such correlation was established in Pleurotus ostreatus. Reduction of hemicellulose, cellulose, and lignin in substrates during P. ostreatus cultivation was positively correlated with REE concentrations, which also affected the production performance depending on the species examined. In all cases, a negative correlation was established between bioconcentration factors (BCF) in mushrooms and REE content in substrates, while the effect of substrate composition on BCF values varied according to the element studied. The estimated daily intake values of REEs through mushroom consumption was at much lower levels than those reported as potentially harmful for human health. CONCLUSION The content of REEs in cultivation substrates and in mushrooms revealed that the bioaccumulation of elements differed in each fungus. The nature/origin of substrates seemed to affect the concentration of REEs in mushrooms to a considerable extent. © 2018 Society of Chemical Industry.
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Affiliation(s)
- Georgios Koutrotsios
- Department of Crop Science, Laboratory of General and Agricultural Microbiology, Agricultural University of Athens, Athens, Greece
| | - Georgios P Danezis
- Department of Food Science and Human Nutrition, Laboratory of Chemistry, Agricultural University of Athens, Athens, Greece
| | - Constantinos A Georgiou
- Department of Food Science and Human Nutrition, Laboratory of Chemistry, Agricultural University of Athens, Athens, Greece
| | - Georgios I Zervakis
- Department of Crop Science, Laboratory of General and Agricultural Microbiology, Agricultural University of Athens, Athens, Greece
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256
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Abstract
Food fraud can be highly lucrative, and high accuracy authentication of various foodstuffs is becoming essential. Olive oil is one of the most investigated food matrices, due to its high price and low production globally, with recent food fraud examples showing little or no high quality olive oil in the tested oils. Here a simple method using a 405 nm LED flashlight and a smartphone is developed for edible oil authentication. Identification is fingerprinted by intrinsic fluorescent compounds in the oils, such as chlorophylls and polyphenols. This study uses the hue parameter of HSV-colorspace to authenticate 24 different edible oils of 9 different types and 15 different brands. For extra virgin olive oil, all nine samples are well separated from the other oil samples. The rest of the samples were also well type-distinguished by the hue parameter, which is complemented by hue-histogram analysis. This opens up opportunities for low-cost and high-throughput smartphone field-testing of edible oils on all levels of the production and supply chain.
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Affiliation(s)
- Aron Hakonen
- Sensor Visions AB, Legendgatan 116, 422 55 Hisings Backa, Sweden
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257
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Łata E, Fulczyk A, Kowalska T, Sajewicz M. Vulnerability of anthocyanins to the components of a thin-layer chromatographic system and comprehensive screening of anthocyanes in alimentary products. J Chromatogr A 2018; 1572:137-144. [PMID: 30150119 DOI: 10.1016/j.chroma.2018.08.040] [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: 07/01/2018] [Revised: 08/09/2018] [Accepted: 08/19/2018] [Indexed: 10/28/2022]
Abstract
The aim of this study was to revisit the TLC authentication of alimentary products concept based on analysis of anthocyanes with the foodstuffs of plant origin. To this effect, we used two anthocyanins (cyanin and keracyanin) and two anthocyanidins (pelargonidin and delphinidin) as phytochemical standards. The first step was to develop a novel method making use of the RP-18 F254s stationary phase (which ensures mixed-mode retention mechanism with the localized adsorption on the non-bonded silanols) and acetic acid as the mobile phase component. Importantly, similar TLC systems are currently used for the analysis of anthocyanes. Individual steps of our method development enabled a deeper insight in vulnerability of anthocyanins to external conditions resulting in hydrolysis thereof. In this study, it was impossible to fully separate the products of hydrolytic degradation of the test anthocyanins in a single development run and it was only triple development which ensured distinct and symmetrically shaped chromatographic spots, further scrutinized with use of mass spectrometry. The identity of the hydrolytically split fractions was additionally studied with use of the p-aminobenzoic acid (PABA) test. To obtain calibration curves, triple development was employed for cyanin, keracyanin, and pelargonidin, while delphinidin was developed in one development run. The respective LOD and LOQ values were: for spot (i) derived from the cyanin standard, 0.005 and 0.016 μg spot-1; for spot (ii) derived from the cyanin standard, 0.006 and 0.017 μg spot-1; for spot (i) derived from the keracyanin standard, 0.092 and 0.274 μg spot-1; for spot (ii) derived from the keracyanin standard, 0.035 and 0.104 μg spot-1; for the pelargonidin standard, 0.013 and 0.040 μg spot-1; and for the delphinidin standard, 0.036 and 0.108 μg spot-1. The developed method was used to identify and quantify cyanin, keracyanin, pelargonidin and delphinidin in selected alimentary products (syrups, juices and herbal infusions), keeping in mind that the obtained numerical results were of semi-quantitative nature only.
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Affiliation(s)
- Eliza Łata
- Department of General Chemistry and Chromatography, Institute of Chemistry, University of Silesia, 9 Szkolna Street, 40-006 Katowice, Poland.
| | - Agnieszka Fulczyk
- Department of General Chemistry and Chromatography, Institute of Chemistry, University of Silesia, 9 Szkolna Street, 40-006 Katowice, Poland.
| | - Teresa Kowalska
- Department of General Chemistry and Chromatography, Institute of Chemistry, University of Silesia, 9 Szkolna Street, 40-006 Katowice, Poland.
| | - Mieczysław Sajewicz
- Department of General Chemistry and Chromatography, Institute of Chemistry, University of Silesia, 9 Szkolna Street, 40-006 Katowice, Poland.
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258
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Abstract
The wine sector is one of the most economically important agro-food businesses. The wine market value is largely associated to terroir, in some cases resulting in highly expensive wines that attract fraudulent practices. The existent wine traceability system has some limitations that can be overcome with the development of new technological approaches that can tackle this problem with several means. This review aims to call attention to the problem and to present several strategies that can assure a more reliable and authentic wine system, identifying existent technologies developed for the sector, which can be incorporated into the current traceability system.
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259
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Galvez JF, Mejuto J, Simal-Gandara J. Future challenges on the use of blockchain for food traceability analysis. Trends Analyt Chem 2018. [DOI: 10.1016/j.trac.2018.08.011] [Citation(s) in RCA: 197] [Impact Index Per Article: 28.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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260
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An exploratory study for the technological classification of egg white powders based on infrared spectroscopy. Lebensm Wiss Technol 2018. [DOI: 10.1016/j.lwt.2018.05.065] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
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261
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Bianchi F, Giannetto M, Careri M. Analytical systems and metrological traceability of measurement data in food control assessment. Trends Analyt Chem 2018. [DOI: 10.1016/j.trac.2018.07.024] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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262
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263
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264
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Monteiro PI, Santos JS, Alvarenga Brizola VR, Pasini Deolindo CT, Koot A, Boerrigter-Eenling R, van Ruth S, Georgouli K, Koidis A, Granato D. Comparison between proton transfer reaction mass spectrometry and near infrared spectroscopy for the authentication of Brazilian coffee: A preliminary chemometric study. Food Control 2018. [DOI: 10.1016/j.foodcont.2018.04.009] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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265
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Guyader S, Thomas F, Portaluri V, Jamin E, Akoka S, Silvestre V, Remaud G. Authentication of edible fats and oils by non-targeted 13 C INEPT NMR spectroscopy. Food Control 2018. [DOI: 10.1016/j.foodcont.2018.03.046] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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266
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Simmler C, Graham JG, Chen SN, Pauli GF. Integrated analytical assets aid botanical authenticity and adulteration management. Fitoterapia 2018; 129:401-414. [PMID: 29175549 PMCID: PMC5963993 DOI: 10.1016/j.fitote.2017.11.017] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2016] [Revised: 11/14/2017] [Accepted: 11/18/2017] [Indexed: 12/30/2022]
Abstract
This article reviews and develops a perspective for the meaning of authenticity in the context of quality assessment of botanical materials and the challenges associated with discerning adulterations vs. contaminations vs. impurities. Authentic botanicals are by definition non-adulterated, a mutually exclusive relationship that is confirmed through the application of a multilayered set of analytical methods designed to validate the (chemo)taxonomic identity of a botanical and certify that it is devoid of any adulteration. In practice, the ever-increasing sophistication in the process of intentional adulteration, as well as the growing number of botanicals entering the market, altogether necessitate a constant adaptation and reinforcement of authentication methods with new approaches, especially new technologies. This article summarizes the set of analytical methods - classical and contemporary - that can be employed in the authentication of botanicals. Particular emphasis is placed on the application of untargeted metabolomics and chemometrics. An NMR-based untargeted metabolomic model is proposed as a rapid, systematic, and complementary screening for the discrimination of authentic vs. potentially adulterated botanicals. Such analytical model can help advance the evaluation of botanical integrity in natural product research.
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Affiliation(s)
- Charlotte Simmler
- Center for Natural Product Technologies (CENAPT), United States; UIC/NIH Center for Botanical Dietary Supplements Research, Program for Collaborative Research in the Pharmaceutical Sciences (PCRPS), Department of Medicinal Chemistry and Pharmacognosy, College of Pharmacy, University of Illinois at Chicago, 833 South Wood Street, Chicago, IL 60612, United States
| | - James G Graham
- Center for Natural Product Technologies (CENAPT), United States
| | - Shao-Nong Chen
- Center for Natural Product Technologies (CENAPT), United States; UIC/NIH Center for Botanical Dietary Supplements Research, Program for Collaborative Research in the Pharmaceutical Sciences (PCRPS), Department of Medicinal Chemistry and Pharmacognosy, College of Pharmacy, University of Illinois at Chicago, 833 South Wood Street, Chicago, IL 60612, United States
| | - Guido F Pauli
- Center for Natural Product Technologies (CENAPT), United States; UIC/NIH Center for Botanical Dietary Supplements Research, Program for Collaborative Research in the Pharmaceutical Sciences (PCRPS), Department of Medicinal Chemistry and Pharmacognosy, College of Pharmacy, University of Illinois at Chicago, 833 South Wood Street, Chicago, IL 60612, United States.
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267
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Pallone JAL, Caramês ETDS, Alamar PD. Green analytical chemistry applied in food analysis: alternative techniques. Curr Opin Food Sci 2018. [DOI: 10.1016/j.cofs.2018.01.009] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
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268
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Li L, Wen B, Zhang X, Zhao Y, Duan Y, Song X, Ren S, Wang Y, Fang W, Zhu X. Geographical origin traceability of tea based on multi-element spatial distribution and the relationship with soil in district scale. Food Control 2018. [DOI: 10.1016/j.foodcont.2018.02.031] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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269
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Influence of Chemical and Physical Variables on 87Sr/86Sr Isotope Ratios Determination for Geographical Traceability Studies in the Oenological Food Chain. BEVERAGES 2018. [DOI: 10.3390/beverages4030055] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
This study summarizes the results obtained from a systematic and long-term project aimed at the development of tools to assess the provenance of food in the oenological sector. 87Sr/86Sr isotope ratios were measured on a representative set of soils, branches, and wines sampled from the Chianti Classico wine production area. In particular, owing to the high spatial resolution of the 87Sr/86Sr ratio in the topsoil, the effect of two mill techniques for soil pretreatment was investigated to verify the influence of the particle dimension on the measured isotopic ratios. Samples with particle sizes ranging from 250 to less than 50 µm were investigated, and the extraction was performed by means of the DIN 19730 procedure. For each sample, the Sr isotope ratio was determined as well. The obtained results showed that the 87Sr/86Sr ratio is not influenced by soil particle size and may represent an effective tool as a geographic provenance indicator for the investigated product.
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270
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Development of 87 Sr/ 86 Sr maps as targeted strategy to support wine quality. Food Chem 2018; 255:139-146. [DOI: 10.1016/j.foodchem.2018.02.084] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2017] [Revised: 02/13/2018] [Accepted: 02/15/2018] [Indexed: 11/18/2022]
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271
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Advances in electrospray mass spectrometry for the selenium speciation: Focus on Se-rich yeast. Trends Analyt Chem 2018. [DOI: 10.1016/j.trac.2017.10.008] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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272
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Joubert V, Silvestre V, Grand M, Loquet D, Ladroue V, Besacier F, Akoka S, Remaud GS. Full Spectrum Isotopic 13C NMR Using Polarization Transfer for Position-Specific Isotope Analysis. Anal Chem 2018; 90:8692-8699. [DOI: 10.1021/acs.analchem.8b02139] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Affiliation(s)
- Valentin Joubert
- Elucidation of Biosynthesis by Isotopic Spectrometry Group, CEISAM, University of Nantes-CNRS UMR6230, F-44322 Nantes, France
| | - Virginie Silvestre
- Elucidation of Biosynthesis by Isotopic Spectrometry Group, CEISAM, University of Nantes-CNRS UMR6230, F-44322 Nantes, France
| | - Mathilde Grand
- Elucidation of Biosynthesis by Isotopic Spectrometry Group, CEISAM, University of Nantes-CNRS UMR6230, F-44322 Nantes, France
| | - Denis Loquet
- Elucidation of Biosynthesis by Isotopic Spectrometry Group, CEISAM, University of Nantes-CNRS UMR6230, F-44322 Nantes, France
| | - Virginie Ladroue
- Laboratoire de Lyon, Institut National de Police Scientifique, 31 avenue Franklin Roosevelt, 69134 Ecully CEDEX, France
| | - Fabrice Besacier
- Laboratoire de Lyon, Institut National de Police Scientifique, 31 avenue Franklin Roosevelt, 69134 Ecully CEDEX, France
| | - Serge Akoka
- Elucidation of Biosynthesis by Isotopic Spectrometry Group, CEISAM, University of Nantes-CNRS UMR6230, F-44322 Nantes, France
| | - Gérald S. Remaud
- Elucidation of Biosynthesis by Isotopic Spectrometry Group, CEISAM, University of Nantes-CNRS UMR6230, F-44322 Nantes, France
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273
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Sighinolfi S, Baneschi I, Manzini S, Tassi L, Dallai L, Marchetti A. Determination of glycerol carbon stable isotope ratio for the characterization of Italian balsamic vinegars. J Food Compost Anal 2018. [DOI: 10.1016/j.jfca.2018.02.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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274
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Monahan FJ, Schmidt O, Moloney AP. Meat provenance: Authentication of geographical origin and dietary background of meat. Meat Sci 2018; 144:2-14. [PMID: 29859716 DOI: 10.1016/j.meatsci.2018.05.008] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2018] [Accepted: 05/10/2018] [Indexed: 02/07/2023]
Abstract
The authenticity of meat is now an important consideration in the multi-step food chain from production of animals on farm to consumer consumption of the final meat product. A range of techniques, involving analysis of elemental and molecular constituents of meat, fingerprint profiling and multivariate statistical analysis exists and these techniques are evolving in the quest to provide robust methods of establishing the dietary background of animals and the geographical origin of the meat derived from them. The potential application to meat authentication of techniques such as stable isotope ratio analysis applied to different animal tissues, measurement in meat of compounds directly derived from the diet of animals, such as fatty acids and fat soluble vitamins, and spectroscopy is explored. Challenges pertaining to the interpretation of data, as they relate to assignment of dietary background or geographical origin, are discussed.
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Affiliation(s)
- Frank J Monahan
- University College Dublin, School of Agriculture and Food Science, Dublin 4, Ireland.
| | - Olaf Schmidt
- University College Dublin, School of Agriculture and Food Science, Dublin 4, Ireland.
| | - Aidan P Moloney
- Teagasc, Animal & Grassland Research and Innovation Centre, Grange, Co. Meath, Ireland.
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275
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Vincent J, Wang H, Nibouche O, Maguire P. Differentiation of Apple Varieties and Investigation of Organic Status Using Portable Visible Range Reflectance Spectroscopy. SENSORS 2018; 18:s18061708. [PMID: 29799461 PMCID: PMC6022119 DOI: 10.3390/s18061708] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Revised: 05/18/2018] [Accepted: 05/24/2018] [Indexed: 12/21/2022]
Abstract
Food fraud, the sale of goods that have in some way been mislabelled or tampered with, is an increasing concern, with a number of high profile documented incidents in recent years. These recent incidents and their scope show that there are gaps in the food chain where food authentication methods are not applied or otherwise not sufficient and more accessible detection methods would be beneficial. This paper investigates the utility of affordable and portable visible range spectroscopy hardware with partial least squares discriminant analysis (PLS-DA) when applied to the differentiation of apple types and organic status. This method has the advantage that it is accessible throughout the supply chain, including at the consumer level. Scans were acquired of 132 apples of three types, half of which are organic and the remaining non-organic. The scans were preprocessed with zero correction, normalisation and smoothing. Two tests were used to determine accuracy, the first using 10-fold cross-validation and the second using a test set collected in different ambient conditions. Overall, the system achieved an accuracy of 94% when predicting the type of apple and 66% when predicting the organic status. Additionally, the resulting models were analysed to find the regions of the spectrum that had the most significance. Then, the accuracy when using three-channel information (RGB) is presented and shows the improvement provided by spectroscopic data.
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Affiliation(s)
- Jordan Vincent
- School of Computing and Mathematics, University of Ulster, Shore Rd, Newtownabbey BT37 0QB, UK.
| | - Hui Wang
- School of Computing and Mathematics, University of Ulster, Shore Rd, Newtownabbey BT37 0QB, UK.
| | - Omar Nibouche
- School of Computing and Mathematics, University of Ulster, Shore Rd, Newtownabbey BT37 0QB, UK.
| | - Paul Maguire
- School of Engineering, University of Ulster, Shore Rd, Newtownabbey BT37 0QB, UK.
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276
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Foegeding EA. Food Authentication in the 21 st Century: The Power of Analytical Methods Combined with Big Data Analysis. J Food Sci 2018; 83:1189. [PMID: 29749655 DOI: 10.1111/1750-3841.13882] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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277
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Tedeschi T, Prandi B, Buhler S, Caligiani A, Galaverna G, Sforza S. Peptides as probes for food authentication. Pept Sci (Hoboken) 2018. [DOI: 10.1002/pep2.24068] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Affiliation(s)
- Tullia Tedeschi
- Food and Drug Department, Parco Area delle Scienze 27/AUniversity of ParmaParma43124 Italy
| | - Barbara Prandi
- Food and Drug Department, Parco Area delle Scienze 27/AUniversity of ParmaParma43124 Italy
- Department of Human Sciences and Quality of Life Promotion, via Val Cannuta 247Telematic University San Raffaele RomaRome Italy
| | - Sofie Buhler
- Food and Drug Department, Parco Area delle Scienze 27/AUniversity of ParmaParma43124 Italy
| | - Augusta Caligiani
- Food and Drug Department, Parco Area delle Scienze 27/AUniversity of ParmaParma43124 Italy
| | - Gianni Galaverna
- Food and Drug Department, Parco Area delle Scienze 27/AUniversity of ParmaParma43124 Italy
| | - Stefano Sforza
- Food and Drug Department, Parco Area delle Scienze 27/AUniversity of ParmaParma43124 Italy
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278
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279
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Granato D, Putnik P, Kovačević DB, Santos JS, Calado V, Rocha RS, Cruz AGD, Jarvis B, Rodionova OY, Pomerantsev A. Trends in Chemometrics: Food Authentication, Microbiology, and Effects of Processing. Compr Rev Food Sci Food Saf 2018; 17:663-677. [PMID: 33350122 DOI: 10.1111/1541-4337.12341] [Citation(s) in RCA: 256] [Impact Index Per Article: 36.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2017] [Revised: 01/25/2018] [Accepted: 01/26/2018] [Indexed: 11/27/2022]
Abstract
In the last decade, the use of multivariate statistical techniques developed for analytical chemistry has been adopted widely in food science and technology. Usually, chemometrics is applied when there is a large and complex dataset, in terms of sample numbers, types, and responses. The results are used for authentication of geographical origin, farming systems, or even to trace adulteration of high value-added commodities. In this article, we provide an extensive practical and pragmatic overview on the use of the main chemometrics tools in food science studies, focusing on the effects of process variables on chemical composition and on the authentication of foods based on chemical markers. Pattern recognition methods, such as principal component analysis and cluster analysis, have been used to associate the level of bioactive components with in vitro functional properties, although supervised multivariate statistical methods have been used for authentication purposes. Overall, chemometrics is a useful aid when extensive, multiple, and complex real-life problems need to be addressed in a multifactorial and holistic context. Undoubtedly, chemometrics should be used by governmental bodies and industries that need to monitor the quality of foods, raw materials, and processes when high-dimensional data are available. We have focused on practical examples and listed the pros and cons of the most used chemometric tools to help the user choose the most appropriate statistical approach for analysis of complex and multivariate data.
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Affiliation(s)
- Daniel Granato
- Dept. of Food Engineering, State Univ. of Ponta Grossa, Av. Carlos Cavalcanti, 4748, 84030-900, Ponta Grossa, Brazil
| | - Predrag Putnik
- Faculty of Food Technology and Biotechnology, Univ. of Zagreb, Pierottijeva 6, 10000, Zagreb, Croatia
| | - Danijela Bursać Kovačević
- Faculty of Food Technology and Biotechnology, Univ. of Zagreb, Pierottijeva 6, 10000, Zagreb, Croatia
| | - Jânio Sousa Santos
- Dept. of Food Engineering, State Univ. of Ponta Grossa, Av. Carlos Cavalcanti, 4748, 84030-900, Ponta Grossa, Brazil
| | - Verônica Calado
- School of Chemistry, Federal Univ. of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Ramon Silva Rocha
- Dept. de Alimentos, Inst. Federal de Educação, Ciência e Tecnologia (IFRJ), 20270-021, Rio de Janeiro, Brazil
| | - Adriano Gomes Da Cruz
- Dept. de Alimentos, Inst. Federal de Educação, Ciência e Tecnologia (IFRJ), 20270-021, Rio de Janeiro, Brazil
| | - Basil Jarvis
- Dept. of Food and Nutrition Sciences, School of Chemistry, Food and Pharmacy, The Univ. of Reading, Whiteknights, Reading, Berkshire RG6 6AP, U.K
| | - Oxana Ye Rodionova
- Semenov Inst. of Chemical Physics RAS, Kosygin str. 4, 119991, Moscow, Russia
| | - Alexey Pomerantsev
- Semenov Inst. of Chemical Physics RAS, Kosygin str. 4, 119991, Moscow, Russia
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280
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Stokes TD, Foteini M, Brownfield B, Kalivas JH, Mousdis G, Amine A, Georgiou C. Feasibility Assessment of Synchronous Fluorescence Spectral Fusion by Application to Argan Oil for Adulteration Analysis. APPLIED SPECTROSCOPY 2018; 72:432-441. [PMID: 29199851 DOI: 10.1177/0003702817749232] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
Synchronous fluorescence spectroscopy (SFS) is used for quantitative analysis as well as for qualitative analysis, such as with classification methods. With SFS, determination of a useful wavelength interval between the excitation and emission wavelengths (Δλ) is required. There are a multitude of Δλ intervals that can be evaluated and optimization of the best one is complex. Presented here is a fusion approach for combining Δλ intervals, thereby negating the need to perform the selection by a skilled operator. To demonstrate the feasibility of omitting selection of the best Δλ interval, adulterated argan oil samples are studied. Argan oil is made from the argan tree, endemic to southwestern Morocco, and is well-known for its cosmetic, pharmaceutical, and nutritional applications. It is considered a luxury product and exported from Morocco around the world. Consequently, detection of argan oil adulteration followed by quantitative analysis of the adulterant concentration is important. This study uses fusion of SFS spectra obtained at ten Δλ intervals to first detect adulteration of argan oil by corn oil and then determination of the corn oil content. For detection of adulteration, 15 one-class classification methods were used simultaneously over the ten Δλ sets of SFS spectra. For tuning parameter dependent classifiers such as Mahalanobis distance, non-optimized classifiers are used. Raw classification values are used, removing the need to set classifier-dependent threshold values, albeit, ultimately, a fusion decision rule is needed for classification. For quantitative analysis, two calibration approaches are evaluated with fusion of these ten Δλ SFS spectral data sets. One is multivariate calibration by partial least squares (PLS). The second approach is a univariate calibration process where the SFS spectra are summed over respective SFS spectral ranges, also known as the area under the curve (AUC). For adulteration detection and quantitation of the corn oil, prediction errors decrease with fusion compared to individually using the ten Δλ interval SFS specific data sets. For this argan oil data set, the AUC method generally provides equivalent prediction errors to PLS.
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Affiliation(s)
- Tyler D Stokes
- 1 Department of Chemistry, Idaho State University, Pocatello, ID, USA
| | - Mellou Foteini
- 2 Chemistry laboratory, Agricultural University of Athens, Athens, Greece
| | - Brett Brownfield
- 1 Department of Chemistry, Idaho State University, Pocatello, ID, USA
| | - John H Kalivas
- 1 Department of Chemistry, Idaho State University, Pocatello, ID, USA
| | - George Mousdis
- 3 Theoretical & Physical Chemistry Institute, National Hellenic Research Foundation, Athens, Greece
| | - Aziz Amine
- 4 Laboratoire Génie des Procédés et Environnement, Université Hassanll-Mohammedia, Morocco
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281
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Development of a fast duplex real-time PCR assay for simultaneous detection of chicken and pigeon in raw and heat-treated meats. Food Control 2018. [DOI: 10.1016/j.foodcont.2017.09.012] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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282
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Gori Y, Stradiotti A, Camin F. Timber isoscapes. A case study in a mountain area in the Italian Alps. PLoS One 2018; 13:e0192970. [PMID: 29451907 PMCID: PMC5815615 DOI: 10.1371/journal.pone.0192970] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2017] [Accepted: 02/01/2018] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Local timber is still one of the main sources of work and income for mountain communities. However, illegal logging is a major cause of deforestation in many countries and has significant impacts on local communities and biodiversity. Techniques for tracing timber would provide a useful tool to protect local timber industries and contribute to the fight against illegal logging. Although considerable progress has been made in food traceability, timber provenance is still a somewhat neglected research area. Stable isotope ratios in plants are known to reflect geographical variations. This study reports accurate spatial distribution of δ18O and δ2H in timber from north-eastern Italy (Trentino) in order to trace geographical origin. METHODOLOGY AND PRINCIPAL FINDINGS We tested the accuracy of four kriging methods using an annual resolution of δ18O and δ2H measured in Picea abies. Pearson's correlation coefficients revealed altitude to be the most appropriate covariate for the cokriging model, which has ultimately proved to be the best method due to its low estimation error. CONCLUSIONS We present regional maps of interpolated δ18O and δ2H in Picea abies wood together with the 95% confidence intervals. The strong spatial structure of the data demonstrates the potential of multivariate spatial interpolation, even in a highly heterogeneous area such as the Alps. We believe that this geospatial approach can be successfully applied on a wider scale in order to combat illegal logging.
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Affiliation(s)
- Yuri Gori
- Department of Food Quality and Nutrition, Research and Innovation Centre, Fondazione Edmund Mach (FEM), San Michele all’ Adige, Trento, Italy
| | - Ana Stradiotti
- Stable Isotopes Center, Institute of Biosciences, São Paulo State University (UNESP), Botucatu Campus, Brazil
| | - Federica Camin
- Department of Food Quality and Nutrition, Research and Innovation Centre, Fondazione Edmund Mach (FEM), San Michele all’ Adige, Trento, Italy
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283
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Lee JY, Park JH, Mun H, Shim WB, Lim SH, Kim MG. Quantitative analysis of lard in animal fat mixture using visible Raman spectroscopy. Food Chem 2018; 254:109-114. [PMID: 29548429 DOI: 10.1016/j.foodchem.2018.01.185] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2017] [Revised: 01/29/2018] [Accepted: 01/30/2018] [Indexed: 01/25/2023]
Abstract
Food adulteration is a serious issue that requires verification and strict management due to healthcare, morality, and social value problems. In the context of fat, food manufacturers blend lard with vegetable oils or animal fats for convenience and gaining economic benefits. Thus, we herein report the classification of 4 animal fats, e.g., beef tallow, pork lard, chicken fat, duck oil, using Raman spectroscopy combined with simple calculation of intensity ratios of Raman signal at vibrational modes corresponding to unsaturated fatty acids and total fatty acids. Various calculated values of the species were compared to find a feature that is able to classify each fats using Raman peak ratio. As a result, we suggested "Oil gauge (OG)" as a standard feature for classification of the fats in Raman analysis field. Furthermore, a quantification of the lard in other fat was accomplished with good linear correlation using the OG values.
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Affiliation(s)
- Ju-Yong Lee
- Department of Chemistry, School of Physics and Chemistry, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea.
| | - Jin-Ho Park
- Advanced Photonics Research Institute, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea.
| | - Hyoyoung Mun
- Department of Chemistry, School of Physics and Chemistry, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea.
| | - Won-Bo Shim
- Department of Food Science and Technology, Gyeongsang National University, Jinju 52727, Republic of Korea.
| | - Sang-Hyun Lim
- Department of Chemistry, School of Physics and Chemistry, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea.
| | - Min-Gon Kim
- Department of Chemistry, School of Physics and Chemistry, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea.
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284
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Pereira L, Gomes S, Barrias S, Fernandes JR, Martins-Lopes P. Applying high-resolution melting (HRM) technology to olive oil and wine authenticity. Food Res Int 2018; 103:170-181. [DOI: 10.1016/j.foodres.2017.10.026] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2017] [Revised: 10/11/2017] [Accepted: 10/12/2017] [Indexed: 12/21/2022]
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285
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Pan XD, Chen J, Chen Q, Huang BF, Han JL. Authentication of pork in meat mixtures using PRM mass spectrometry of myosin peptides. RSC Adv 2018; 8:11157-11162. [PMID: 35541512 PMCID: PMC9078958 DOI: 10.1039/c8ra00926k] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2018] [Accepted: 03/12/2018] [Indexed: 11/29/2022] Open
Abstract
Adulteration of meat products is a major concern not only for economic fraud, but also for ethical reasons. In this study, we presented a parallel reaction monitoring (PRM) mass spectrometry approach for detection of trace pork in meat mixtures (chicken, sheep, and beef). Specific peptides were identified and screened by a shotgun proteomic approach based on tryptic digests of certain protein. Five surrogate peptides from myosin were screened and then used for pork detection by PRM of Orbitrap MS. When the most sensitive peptide was selected, the LOD in mixed meat can be up to 0.5%. The RSD values between detected and designated pork levels (1%, 5% and 50%) were 4–15%. The targeted method developed can be applied to identify and quantify the pork in meat mixture. Adulteration of meat products is a major concern not only for economic fraud, but also for ethical reasons.![]()
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Affiliation(s)
- Xiao-Dong Pan
- Zhejiang Provincial Center for Disease Control and Prevention
- Hangzhou
- China
| | - Jiang Chen
- Zhejiang Provincial Center for Disease Control and Prevention
- Hangzhou
- China
| | - Qing Chen
- Zhejiang Provincial Center for Disease Control and Prevention
- Hangzhou
- China
| | - Bai-Fen Huang
- Zhejiang Provincial Center for Disease Control and Prevention
- Hangzhou
- China
| | - Jian-Long Han
- Zhejiang Provincial Center for Disease Control and Prevention
- Hangzhou
- China
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286
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Cossignani L, Blasi F, Simonetti MS, Montesano D. Fatty Acids and Phytosterols to Discriminate Geographic Origin of Lycium barbarum Berry. FOOD ANAL METHOD 2017. [DOI: 10.1007/s12161-017-1098-5] [Citation(s) in RCA: 44] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
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287
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Gerbig S, Neese S, Penner A, Spengler B, Schulz S. Real-Time Food Authentication Using a Miniature Mass Spectrometer. Anal Chem 2017; 89:10717-10725. [PMID: 28892367 DOI: 10.1021/acs.analchem.7b01689] [Citation(s) in RCA: 44] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Food adulteration is a threat to public health and the economy. In order to determine food adulteration efficiently, rapid and easy-to-use on-site analytical methods are needed. In this study, a miniaturized mass spectrometer in combination with three ambient ionization methods was used for food authentication. The chemical fingerprints of three milk types, five fish species, and two coffee types were measured using electrospray ionization, desorption electrospray ionization, and low temperature plasma ionization. Minimum sample preparation was needed for the analysis of liquid and solid food samples. Mass spectrometric data was processed using the laboratory-built software MS food classifier, which allows for the definition of specific food profiles from reference data sets using multivariate statistical methods and the subsequent classification of unknown data. Applicability of the obtained mass spectrometric fingerprints for food authentication was evaluated using different data processing methods, leave-10%-out cross-validation, and real-time classification of new data. Classification accuracy of 100% was achieved for the differentiation of milk types and fish species, and a classification accuracy of 96.4% was achieved for coffee types in cross-validation experiments. Measurement of two milk mixtures yielded correct classification of >94%. For real-time classification, the accuracies were comparable. Functionality of the software program and its performance is described. Processing time for a reference data set and a newly acquired spectrum was found to be 12 s and 2 s, respectively. These proof-of-principle experiments show that the combination of a miniaturized mass spectrometer, ambient ionization, and statistical analysis is suitable for on-site real-time food authentication.
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Affiliation(s)
- Stefanie Gerbig
- Institute of Inorganic and Analytical Chemistry, Justus Liebig University Giessen , 35392 Giessen, Germany
| | - Stephan Neese
- Institute of Inorganic and Analytical Chemistry, Justus Liebig University Giessen , 35392 Giessen, Germany
| | - Alexander Penner
- Institute of Inorganic and Analytical Chemistry, Justus Liebig University Giessen , 35392 Giessen, Germany
| | - Bernhard Spengler
- Institute of Inorganic and Analytical Chemistry, Justus Liebig University Giessen , 35392 Giessen, Germany
| | - Sabine Schulz
- Institute of Inorganic and Analytical Chemistry, Justus Liebig University Giessen , 35392 Giessen, Germany
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288
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Pironti C, Cucciniello R, Camin F, Tonon A, Motta O, Proto A. Determination of the 13C/12C Carbon Isotope Ratio in Carbonates and Bicarbonates by 13C NMR Spectroscopy. Anal Chem 2017; 89:11413-11418. [DOI: 10.1021/acs.analchem.7b02473] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Affiliation(s)
- Concetta Pironti
- Department
of Chemistry and Biology, University of Salerno, via Giovanni Paolo II 132, 84084 Fisciano (SA), Italy
| | - Raffaele Cucciniello
- Department
of Chemistry and Biology, University of Salerno, via Giovanni Paolo II 132, 84084 Fisciano (SA), Italy
| | - Federica Camin
- Department
of Food Quality and Nutrition, Research and Innovation Centre, Fondazione Edmund Mach (FEM), Via E. Mach 1, 38010 San Michele all’ Adige (TN), Italy
| | - Agostino Tonon
- Department
of Food Quality and Nutrition, Research and Innovation Centre, Fondazione Edmund Mach (FEM), Via E. Mach 1, 38010 San Michele all’ Adige (TN), Italy
| | - Oriana Motta
- Department
of Medicine Surgery and Dentistry “Scuola Medica Salernitana”, University of Salerno, via S. Allende 1, 84081 Baronissi (SA), Italy
| | - Antonio Proto
- Department
of Chemistry and Biology, University of Salerno, via Giovanni Paolo II 132, 84084 Fisciano (SA), Italy
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289
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Game meat authentication through rare earth elements fingerprinting. Anal Chim Acta 2017; 991:46-57. [PMID: 29031298 DOI: 10.1016/j.aca.2017.09.013] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2017] [Revised: 08/25/2017] [Accepted: 09/03/2017] [Indexed: 12/12/2022]
Abstract
Accurate labelling of meat (e.g. wild versus farmed, geographical and genetic origin, organic versus conventional, processing treatment) is important to inform the consumers about the products they buy. Meat and meat products declared as game have higher commercial value making them target to fraudulent labelling practices and replacement with non-game meat. We have developed and validated a new method for authentication of wild rabbit meat using elemental metabolomics approach. Elemental analysis was performed using rapid ultra-trace multi-element measurement by inductively coupled plasma mass spectrometry (ICP-MS). Elemental signatures showed excellent ability to discriminate the wild rabbit from non-wild rabbit meat. Our results demonstrate the usefulness of metabolic markers -rare earth signatures, as well as other trace element signatures for game meat authentication.
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290
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Chemical profiling of floral and chestnut honey using high-performance liquid chromatography-ultraviolet detection. J Food Compost Anal 2017. [DOI: 10.1016/j.jfca.2017.06.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
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291
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The Use of Partial Least Square Regression and Spectral Data in UV-Visible Region for Quantification of Adulteration in Indonesian Palm Civet Coffee. INTERNATIONAL JOURNAL OF FOOD SCIENCE 2017; 2017:6274178. [PMID: 28913348 PMCID: PMC5585669 DOI: 10.1155/2017/6274178] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/18/2017] [Revised: 06/12/2017] [Accepted: 07/18/2017] [Indexed: 11/17/2022]
Abstract
Asian palm civet coffee or kopi luwak (Indonesian words for coffee and palm civet) is well known as the world's priciest and rarest coffee. To protect the authenticity of luwak coffee and protect consumer from luwak coffee adulteration, it is very important to develop a robust and simple method for determining the adulteration of luwak coffee. In this research, the use of UV-Visible spectra combined with PLSR was evaluated to establish rapid and simple methods for quantification of adulteration in luwak-arabica coffee blend. Several preprocessing methods were tested and the results show that most of the preprocessing spectra were effective in improving the quality of calibration models with the best PLS calibration model selected for Savitzky-Golay smoothing spectra which had the lowest RMSECV (0.039) and highest RPDcal value (4.64). Using this PLS model, a prediction for quantification of luwak content was calculated and resulted in satisfactory prediction performance with high both RPD p and RER values.
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292
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Charlebois S, Juhasz M, Foti L, Chamberlain S. Food Fraud and Risk Perception: Awareness in Canada and Projected Trust on Risk-Mitigating Agents. ACTA ACUST UNITED AC 2017. [DOI: 10.1080/08974438.2017.1331149] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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293
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Class-modelling in food analytical chemistry: Development, sampling, optimisation and validation issues - A tutorial. Anal Chim Acta 2017; 982:9-19. [PMID: 28734370 DOI: 10.1016/j.aca.2017.05.013] [Citation(s) in RCA: 113] [Impact Index Per Article: 14.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2016] [Revised: 05/11/2017] [Accepted: 05/16/2017] [Indexed: 11/22/2022]
Abstract
Qualitative data modelling is a fundamental branch of pattern recognition, with many applications in analytical chemistry, and embraces two main families: discriminant and class-modelling methods. The first strategy is appropriate when at least two classes are meaningfully defined in the problem under study, while the second strategy is the right choice when the focus is on a single class. For this reason, class-modelling methods are also referred to as one-class classifiers. Although, in the food analytical field, most of the issues would be properly addressed by class-modelling strategies, the use of such techniques is rather limited and, in many cases, discriminant methods are forcedly used for one-class problems, introducing a bias in the outcomes. Key aspects related to the development, optimisation and validation of suitable class models for the characterisation of food products are critically analysed and discussed.
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294
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De Castro O, Comparone M, Di Maio A, Del Guacchio E, Menale B, Troisi J, Aliberti F, Trifuoggi M, Guida M. What is in your cup of tea? DNA Verity Test to characterize black and green commercial teas. PLoS One 2017; 12:e0178262. [PMID: 28542606 PMCID: PMC5441638 DOI: 10.1371/journal.pone.0178262] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2017] [Accepted: 05/04/2017] [Indexed: 01/10/2023] Open
Abstract
In this study, we used several molecular techniques to develop a fast and reliable protocol (DNA Verity Test, DVT) for the characterization and confirmation of the species or taxa present in herbal infusions. As a model plant for this protocol, Camellia sinensis, a traditional tea plant, was selected due to the following reasons: its historical popularity as a (healthy) beverage, its high selling value, the importation of barely recognizable raw product (i.e., crushed), and the scarcity of studies concerning adulterants or contamination. The DNA Verity Test includes both the sequencing of DNA barcoding markers and genotyping of labeled-PCR DNA barcoding fragments for each sample analyzed. This protocol (DVT) was successively applied to verify the authenticity of 32 commercial teas (simple or admixture), and the main results can be summarized as follows: (1) the DVT protocol is suitable to detect adulteration in tea matrices (contaminations or absence of certified ingredients), and the method can be exported for the study of other similar systems; (2) based on the BLAST analysis of the sequences of rbcL+matK±rps7-trnV(GAC) chloroplast markers, C. sinensis can be taxonomically characterized; (3) rps7-trnV(GAC) can be employed to discriminate C. sinensis from C. pubicosta; (4) ITS2 is not an ideal DNA barcode for tea samples, reflecting potential incomplete lineage sorting and hybridization/introgression phenomena in C. sinensis taxa; (5) the genotyping approach is an easy, inexpensive and rapid pre-screening method to detect anomalies in the tea templates using the trnH(GUG)-psbA barcoding marker; (6) two herbal companies provided no authentic products with a contaminant or without some of the listed ingredients; and (7) the leaf matrices present in some teabags could be constituted using an admixture of different C. sinensis haplotypes and/or allied species (C. pubicosta).
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Affiliation(s)
- Olga De Castro
- Department of Biology, Botanical Garden, University of Naples Federico II, Naples Italy
| | - Maria Comparone
- Department of Biology, Botanical Garden, University of Naples Federico II, Naples Italy
| | - Antonietta Di Maio
- Department of Biology, Botanical Garden, University of Naples Federico II, Naples Italy
| | | | - Bruno Menale
- Department of Biology, Botanical Garden, University of Naples Federico II, Naples Italy
| | - Jacopo Troisi
- Department of Medicine and Surgery and Dentistry, University of Salerno, Salerno, Italy
| | | | - Marco Trifuoggi
- Department of Chemical Sciences, University of Naples Federico II, Naples, Italy
| | - Marco Guida
- Department of Biology, University of Naples Federico II, Naples Italy
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295
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Suhandy D, Yulia M. Peaberry coffee discrimination using UV-visible spectroscopy combined with SIMCA and PLS-DA. INTERNATIONAL JOURNAL OF FOOD PROPERTIES 2017. [DOI: 10.1080/10942912.2017.1296861] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Diding Suhandy
- Department of Agricultural Engineering, Faculty of Agriculture, The University of Lampung, Bandar Lampung, Indonesia
| | - Meinilwita Yulia
- Department of Agricultural Technology, Lampung State Polytechnic, Rajabasa Bandar Lampung, Indonesia
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296
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Recent developments and trends in the application of strontium and its isotopes in biological related fields. Trends Analyt Chem 2017. [DOI: 10.1016/j.trac.2017.02.005] [Citation(s) in RCA: 51] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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297
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Pii Y, Zamboni A, Dal Santo S, Pezzotti M, Varanini Z, Pandolfini T. Prospect on Ionomic Signatures for the Classification of Grapevine Berries According to Their Geographical Origin. FRONTIERS IN PLANT SCIENCE 2017; 8:640. [PMID: 28484487 PMCID: PMC5401910 DOI: 10.3389/fpls.2017.00640] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/16/2017] [Accepted: 04/10/2017] [Indexed: 05/06/2023]
Abstract
The determination of food geographical origin has been an important subject of study over the past decade, with an increasing number of analytical techniques being developed to determine the provenance of agricultural products. Agricultural soils can differ for the composition and the relative quantities of mineral nutrients and trace elements whose bioavailability depends on soil properties. Therefore, the ionome of fruits, vegetables and derived products can reflect the mineral composition of the growth substrate. Multi-elemental analysis has been successfully applied to trace the provenance of wines from different countries or different wine-producing regions. However, winemaking process and environmental and cultural conditions may affect a geographical fingerprint. In this article, we discuss the possibility of applying ionomics in wines classification on a local scale and also by exploiting grape berry analyses. In this regard, we present the ionomic profile of grapevine berries grown within an area of approximately 300 km2 and the subsequent application of chemometric methods for the assignment of their geographical origin. The best discrimination was obtained by using a dataset composed only of rare earth elements. Considering the experiences reported in the literature and our results, we concluded that sample representativeness and the application of a preliminary Principal Component Analysis, as pattern recognition techniques, might represent two necessary starting points for the geographical determination of the geographical origin of grape berries; therefore, on the basis of these observations we also include some recommendations to be considered for future application of these techniques for grape and wines classification.
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Affiliation(s)
- Youry Pii
- Faculty of Science and Technology, Free University of Bozen-BolzanoBolzano, Italy
| | - Anita Zamboni
- Department of Biotechnology, University of VeronaVerona, Italy
| | | | - Mario Pezzotti
- Department of Biotechnology, University of VeronaVerona, Italy
| | - Zeno Varanini
- Department of Biotechnology, University of VeronaVerona, Italy
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298
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Wu L, Du B, Vander Heyden Y, Chen L, Zhao L, Wang M, Xue X. Recent advancements in detecting sugar-based adulterants in honey – A challenge. Trends Analyt Chem 2017. [DOI: 10.1016/j.trac.2016.10.013] [Citation(s) in RCA: 60] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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299
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Manzanares-Palenzuela CL, Martín-Clemente JP, Lobo-Castañón MJ, López-Ruiz B. Electrochemical detection of magnetically-entrapped DNA sequences from complex samples by multiplexed enzymatic labelling: Application to a transgenic food/feed quantitative survey. Talanta 2016; 164:261-267. [PMID: 28107927 DOI: 10.1016/j.talanta.2016.11.040] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2016] [Revised: 11/17/2016] [Accepted: 11/19/2016] [Indexed: 02/02/2023]
Abstract
Monitoring of genetically modified organisms in food and feed demands molecular techniques that deliver accurate quantitative results. Electrochemical DNA detection has been widely described in this field, yet most reports convey qualitative data and application in processed food and feed samples is limited. Herein, the applicability of an electrochemical multiplex assay for DNA quantification in complex samples is assessed. The method consists of the simultaneous magnetic entrapment via sandwich hybridisation of two DNA sequences (event-specific and taxon-specific) onto the surface of magnetic microparticles, followed by bienzymatic labelling. As proof-of-concept, we report its application in a transgenic food/feed survey where relative quantification (two-target approach) of Roundup Ready Soybean® (RRS) was performed in food and feed. Quantitative coupling to end-point PCR was performed and calibration was achieved from 22 and 243 DNA copies spanning two orders of magnitude for the event and taxon-specific sequences, respectively. We collected a total of 33 soybean-containing samples acquired in local supermarkets, four out of which were found to contain undeclared presence of genetically modified soybean. A real-time PCR method was used to verify these findings. High correlation was found between results, indicating the suitability of the proposed multiplex method for food and feed monitoring.
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Affiliation(s)
- C L Manzanares-Palenzuela
- Sección Departamental de Química Analítica, Facultad de Farmacia, Universidad Complutense de Madrid, Pz. Ramón y Cajal s/n, 28040 Madrid, Spain; Departamento de Biotecnología - Biología Vegetal, Escuela Técnica Superior de Ingeniería Agronómica, Alimentaria y de Biosistemas, Universidad Politécnica de Madrid, Ciudad Universitaria s/n, 28040 Madrid, Spain
| | - J P Martín-Clemente
- Departamento de Biotecnología - Biología Vegetal, Escuela Técnica Superior de Ingeniería Agronómica, Alimentaria y de Biosistemas, Universidad Politécnica de Madrid, Ciudad Universitaria s/n, 28040 Madrid, Spain.
| | - M J Lobo-Castañón
- Departamento de Química Física y Analítica, Universidad de Oviedo, Av. Julián Clavería 8, 33006 Oviedo, Spain.
| | - B López-Ruiz
- Sección Departamental de Química Analítica, Facultad de Farmacia, Universidad Complutense de Madrid, Pz. Ramón y Cajal s/n, 28040 Madrid, Spain.
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Danezis GP, Tsagkaris AS, Brusic V, Georgiou CA. Food authentication: state of the art and prospects. Curr Opin Food Sci 2016. [DOI: 10.1016/j.cofs.2016.07.003] [Citation(s) in RCA: 98] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
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