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Vicens-Sans A, Pascari X, Molino F, Ramos AJ, Marín S. Near infrared hyperspectral imaging as a sorting tool for deoxynivalenol reduction in wheat batches. Food Res Int 2024; 178:113984. [PMID: 38309885 DOI: 10.1016/j.foodres.2024.113984] [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: 11/24/2023] [Revised: 12/30/2023] [Accepted: 01/05/2024] [Indexed: 02/05/2024]
Abstract
The present study aimed to evaluate the feasibility of using near-infrared hyperspectral imaging (NIR-HSI) and chemometrics for classification of individual wheat kernels according to their deoxynivalenol (DON) level. In total, 600 wheat kernels from samples naturally contaminated over the maximum EU level were collected, and the DON content in each individual wheat kernel was analyzed by UHPLC. Linear discriminant analysis (LDA) was employed for building classification models of DON using the EU maximum level as cut off level, and they were tested on balanced and imbalanced test sets. The results showed that the models presented a balanced accuracy of 0.71, that would allow to obtain safe batches from contaminated batches once the unsafe kernels had been rejected, but often more than 30% of the batch would be rejected. The work confirmed that NIR-HSI could be a feasible method for monitoring DON in individual kernels and removing highly contaminated kernels prior to food chain entry.
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Affiliation(s)
- A Vicens-Sans
- Applied Mycology Unit, Food Technology, Engineering and Science Department, University of Lleida, AGROTECNIO-CERCA Centre, Av. Rovira Roure 191, 25198 Lleida, Spain.
| | - X Pascari
- Applied Mycology Unit, Food Technology, Engineering and Science Department, University of Lleida, AGROTECNIO-CERCA Centre, Av. Rovira Roure 191, 25198 Lleida, Spain.
| | - F Molino
- Applied Mycology Unit, Food Technology, Engineering and Science Department, University of Lleida, AGROTECNIO-CERCA Centre, Av. Rovira Roure 191, 25198 Lleida, Spain.
| | - A J Ramos
- Applied Mycology Unit, Food Technology, Engineering and Science Department, University of Lleida, AGROTECNIO-CERCA Centre, Av. Rovira Roure 191, 25198 Lleida, Spain.
| | - S Marín
- Applied Mycology Unit, Food Technology, Engineering and Science Department, University of Lleida, AGROTECNIO-CERCA Centre, Av. Rovira Roure 191, 25198 Lleida, Spain.
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Cozzolino D, Chapman J. Advances, limitations, and considerations on the use of vibrational spectroscopy towards the development of management decision tools in food safety. Anal Bioanal Chem 2024; 416:611-620. [PMID: 37542534 DOI: 10.1007/s00216-023-04849-7] [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: 03/26/2023] [Revised: 07/05/2023] [Accepted: 07/06/2023] [Indexed: 08/07/2023]
Abstract
Food safety and food security are two of the main concerns for the modern food manufacturing industry. Disruptions in the food supply and value chains have created the need to develop agile screening tools that will allow the detection of food pathogens, spoilage microorganisms, microbial contaminants, toxins, herbicides, and pesticides in agricultural commodities, natural products, and food ingredients. Most of the current routine analytical methods used to detect and identify microorganisms, herbicides, and pesticides in food ingredients and products are based on the use of reliable and robust immunological, microbiological, and biochemical techniques (e.g. antigen-antibody interactions, extraction and analysis of DNA) and chemical methods (e.g. chromatography). However, the food manufacturing industries are demanding agile and affordable analytical methods. The objective of this review is to highlight the advantages and limitations of the use of vibrational spectroscopy combined with chemometrics as proxy to evaluate and quantify herbicides, pesticides, and toxins in foods.
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Affiliation(s)
- Daniel Cozzolino
- The University of Queensland, Centre for Nutrition and Food Sciences, Queensland Alliance for Agriculture and Food Innovation, St. Lucia, Brisbane, QLD, 4072, Australia.
| | - James Chapman
- School of Science, RMIT University, GPO Box 2476, Melbourne, VIC, 3001, Australia
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Tyska D, Mallmann A, Gressler LT, Mallmann CA. Near-infrared spectroscopy as a tool for rapid screening of deoxynivalenol in wheat flour and its applicability in the industry. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 2021; 38:1958-1968. [PMID: 34334116 DOI: 10.1080/19440049.2021.1954699] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
This study aimed to evaluate the applicability and efficiency of Near-Infrared Spectroscopy (NIR) by using dispersive NIR and Fourier Transform NIR to analyse 267 samples of Brazilian wheat flour contaminated with deoxynivalenol (DON). For this, Partial Least-squares Discriminant Analysis (PLS-DA) and Principal Component Analysis-Linear Discriminant Analysis (PC-LDA) were used as discriminatory methods. Next, the samples were classified according to the maximum tolerated limits (MTL) for DON in Brazil, 750 μg kg-1, and two groups were established for the calibration set: category A (≤450 μg kg-1), non-contaminated or below the MTL; and category B (>450 μg kg-1), contaminated or above the MTL. Validation samples through PLS-DA showed correct classification rates in the range of 85-87.5% and presented a 10-15% error; for PC-LDA, the hit rate was over 85% with an error of 10-15%. The present findings demonstrate that NIR is an excellent alternative method to classify wheat flour samples according to DON content.
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Affiliation(s)
- Denize Tyska
- Department of Preventive Veterinary Medicine, Federal University of Santa Maria (UFSM), Laboratory of Mycotoxicological Analyses (LAMIC), Santa Maria, Rio Grande Do Sul, Brazil
| | | | | | - Carlos Augusto Mallmann
- Department of Preventive Veterinary Medicine, Federal University of Santa Maria (UFSM), Laboratory of Mycotoxicological Analyses (LAMIC), Santa Maria, Rio Grande Do Sul, Brazil
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Mallet A, Charnier C, Latrille É, Bendoula R, Steyer JP, Roger JM. Unveiling non-linear water effects in near infrared spectroscopy: A study on organic wastes during drying using chemometrics. WASTE MANAGEMENT (NEW YORK, N.Y.) 2021; 122:36-48. [PMID: 33482574 DOI: 10.1016/j.wasman.2020.12.019] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 11/24/2020] [Accepted: 12/12/2020] [Indexed: 06/12/2023]
Abstract
In the context of organic waste management, near infrared spectroscopy (NIRS) is being used to offer a fast, non-destructive, and cost-effective characterization system. However, cumbersome freeze-drying steps of the samples are required to avoid water's interference on near infrared spectra. In order to better understand these effects, spectral variations induced by dry matter content variations were obtained for a wide variety of organic substrates. This was made possible by the development of a customized near infrared acquisition system with dynamic highly-resolved simultaneous scanning of near infrared spectra and estimation of dry matter content during a drying process at ambient temperature. Using principal components analysis, the complex water effects on near infrared spectra are detailed. Water effects are shown to be a combination of both physical and chemical effects, and depend on both the characteristics of the samples (biochemical type and physical structure) and the moisture content level. This results in a non-linear relationship between the measured signal and the analytical characteristic of interest. A typology of substrates with respect to these water effects is provided and could further be efficiently used as a basis for the development of local quantitative calibration models and correction methods accounting for these water effects.
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Affiliation(s)
- Alexandre Mallet
- INRAE, Univ Montellier, LBE, 102 Av des Etangs, Narbonne F-11100, France; INRAE, UMR ITAP, Montpellier University, Montpellier, France; BIOENTECH Company, F-11100 Narbonne, France; ChemHouse Research Group, Montpellier, France.
| | | | - Éric Latrille
- INRAE, Univ Montellier, LBE, 102 Av des Etangs, Narbonne F-11100, France; ChemHouse Research Group, Montpellier, France
| | - Ryad Bendoula
- INRAE, UMR ITAP, Montpellier University, Montpellier, France
| | | | - Jean-Michel Roger
- INRAE, UMR ITAP, Montpellier University, Montpellier, France; ChemHouse Research Group, Montpellier, France
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Peiris KHS, Bean SR, Chiluwal A, Perumal R, Jagadish SVK. Moisture effects on robustness of sorghum grain protein near‐infrared spectroscopy calibration. Cereal Chem 2019. [DOI: 10.1002/cche.10164] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
| | - Scott R. Bean
- USDA‐ARS Center for Grain and Animal Health Research Manhattan Kansas
| | - Anuj Chiluwal
- Department of Agronomy Kansas State University Manhattan Kansas
| | - Ramasamy Perumal
- Kansas State University Agricultural Research Center Hays Kansas
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Salimi Khorshidi A, Storsley J, Malunga LN, Thandapilly SJ, Ames N. Advancing the science of wheat quality evaluation using nuclear magnetic resonance (NMR) and ultrasound-based techniques. Cereal Chem 2018. [DOI: 10.1002/cche.10040] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Affiliation(s)
| | - Joanne Storsley
- Cereal Research Centre; Agriculture & Agri-Food Canada; Winnipeg MB Canada
| | | | - Sijo Joseph Thandapilly
- Cereal Research Centre; Agriculture & Agri-Food Canada; Winnipeg MB Canada
- Department of Food and Human Nutritional Sciences; University of Manitoba; Winnipeg MB Canada
| | - Nancy Ames
- Cereal Research Centre; Agriculture & Agri-Food Canada; Winnipeg MB Canada
- Department of Food and Human Nutritional Sciences; University of Manitoba; Winnipeg MB Canada
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Peiris KHS, Dong Y, Davis MA, Bockus WW, Dowell FE. Estimation of the Deoxynivalenol and Moisture Contents of Bulk Wheat Grain Samples by FT-NIR Spectroscopy. Cereal Chem 2017. [DOI: 10.1094/cchem-11-16-0271-r] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Affiliation(s)
- Kamaranga H. S. Peiris
- Department of Biological and Agricultural Engineering, Kansas State University, Manhattan, KS, U.S.A
| | - Yanhong Dong
- Department of Plant Pathology, University of Minnesota, St. Paul, MN, U.S.A
| | - Mark A. Davis
- Department of Plant Pathology, Kansas State University, Manhattan, KS, U.S.A
| | - William W. Bockus
- Department of Plant Pathology, Kansas State University, Manhattan, KS, U.S.A
| | - Floyd E. Dowell
- USDA-ARS, CGAHR, Stored Product Insect and Engineering Research Unit, Manhattan, KS, U.S.A. Mention of trade names or commercial products in this publication is solely for the purpose of providing specific information and does not imply recommendation or endorsement by the U.S. Department of Agriculture. USDA is an equal opportunity provider and employer
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