Application of hyperspectral imaging to detect toxigenic Fusarium infection on cornmeal

Abstract

One of the most important food safety issues is the detection of mycotoxins, the ubiquitous, natural contaminants in cereals. Hyperspectral imaging (HSI) is a new method in food science, it can be used to predict non-destructively the changes in composition and distribution of compounds. That is why, in the last decade, the potential of HSI has been evaluated in many fields of food science, including mycotoxin research.The aim of the recent study was to test the feasibility of HSI for the differentiation according to the toxin content of cornmeal samples inoculated with Fusarium graminearum, Fusarium verticillioides and Fusarium culmorum and samples with natural levels of mycotoxins. Samples were measured in the near infrared wavelength range of 900–1,700 nm and mean spectra of selected regions of interest of each image were pre-treated using Savitzky-Golay smoothing and standard normal variate (SNV) method. On the spectra, partial least squares discriminant analysis (PLS-DA) was carried out according to the level of contamination. Partial least squares regression (PLSR) method was used to predict deoxynivalenol (DON) content of samples and the cumulative toxin content: the sum of fumonisins (FB1, FB2) and DON content of samples. Based on the promising results of the study, HSI has the potential to be used as a preliminary testing method for mycotoxin content in feed materials.

Near-infrared hyperspectral imaging evaluation of Fusarium damage and DON in single wheat kernels

“…Due to the high RMSE obtained, the authors considered HSI-NIR suitable for FDK detection in oats. On the other hand, recently published works attempted the quantification of DON using HSI but in barley or corn (Parrag et al, 2020;Su et al, 2021). However, Parrag et al (2020) predicted the level of DON in corn homogenized samples using a ROI of 20 × 100 pixels instead of single kernels.…”

The potential and applicability of infrared spectroscopic methods for the rapid screening and routine analysis of mycotoxins in food crops

“…In a series of publications, Wang et al explored the possibilities of using NIR-HSI for the detection of AFLAs in corn kernels (Chu et al, 2017;Wang et al, 2014;. HSI is predominately used to measure intact kernels; the technique has been also utilized for the analysis of milled grain Firrao et al, 2010;Parrag et al, 2020;Zhao et al, 2020). Parrag et al reported the use of HSI to set-up models capable of either quantitative or discriminant analysis using milled samples.…”

“…Corn Fungal infection, FUM, AFLA B 1 (Chu et al, 2020;Chu et al, 2017;Del Fiore et al, 2010;Firrao et al, 2010;Kandpal et al, 2015;Kimuli, Wang, Jiang, et al, 2018;Kimuli, Wang, Lawrence, et al, 2018;Lu et al, 2022;Parrag et al, 2020;Tao et al, 2020;Wang et al, 2014;Williams et al, 2010;Williams et al, 2012;Yang et al, 2020;Zhao et al, 2017;Zhu et al, 2016) Wheat Fungal infection, DON, OTA, ergosterol (Alisaac et al, 2019;Barbedo et al, 2017;Bauriegel et al, 2011;Berman et al, 2007;Dammer et al, 2011;Delwiche et al, 2010;Delwiche et al, 2019;Femenias, Bainotti, et al, 2021;Liang et al, 2020;Nadimi et al, 2021;Ropelewska & Zapotoczny, 2018;Senthilkumar et al, 2016;Shao et al, 2020;Shi et al, 2020;Singh et al, 2012;Singh et al, 2007;Zhao et al, 2020) Rice Fungal infection (Siripatrawan & Makino, 2015;Wu et al, 2020) Oats DON (Tekle et al, 2015) Peanuts Fungal contamination (He et al, 2021;Jiang et al, 2016;Qi et al, 2019;Qiao et al, 2017) Barley DON…”

“…explored the possibilities of using NIR‐HSI for the detection of AFLAs in corn kernels (Chu et al., 2017; Wang et al., 2014; Wang, Lawrence, et al., 2015; Wang, Ni, et al., 2015). HSI is predominately used to measure intact kernels; the technique has been also utilized for the analysis of milled grain (Femenias, Gatius, et al., 2021; Firrao et al., 2010; Parrag et al., 2020; Zhao et al., 2020). Parrag et al.…”

Selected Instrumental Techniques Applied in Food and Feed: Quality, Safety and Adulteration Analysis

“…Additionally, good calibration required for quantitative accurate chemical analysis requires is laborious as requires multiple analysis by standard and NIR methods simultaneously. Finally, Raman spectroscopy and hyperspectral imaging have found further food research applications, such as the screening of adulterants in cereals or as a non-destructive approach for the nutritional quality of fruits, determination of antimicrobial drugs, mycotoxins and mycotoxigenic fungi (see, for example, [236][237][238][239][240]).…”