Spatio-temporal patterns of Aspergillus flavus infection and aflatoxin B1 biosynthesis on maize kernels probed by SWIR hyperspectral imaging and synchrotron FTIR microspectroscopy. (15th July 2022)

• Record Type: Journal Article
• Authors: Lu, Yao; Jia, Beibei; Yoon, Seung-Chul; Zhuang, Hong; Ni, Xinzhi; Guo, Baozhu; Gold, Scott E.; Fountain, Jake C.; Glenn, Anthony E.; Lawrence, Kurt C.; Zhang, Haicheng; Guo, Xiaohuan; Zhang, Feng; Wang, Wei
• Is Part Of: Food chemistry. Volume 382(2022)
• Publication Date: 2022-07-15
• Subjects: Aspergillus flavus -- AFB1 -- Interactive mechanism -- SR-FTIR -- 2DCOS -- Hyperspectral imaging; A. flavus Aspergillus flavus -- AFB1 Aflatoxin B1 -- SWIR-HSI Shortwave infrared hyperspectral imaging -- SR-FTIR Synchrotron radiation Fourier transform infrared -- 2DCOS Two-dimensional correlation spectroscopy -- PCA Principle components analysis -- LVs Latent variables -- PLSR Partial least squares regression -- SVR Support vector regression -- SPA Successive projections algorithm -- R2 Coefficient of determination -- RMSE Root mean squared error -- RPD Ratio of performance to deviation; Food -- Analysis -- Periodicals; Food -- Composition -- Periodicals; 664
• DOI: 10.1016/j.foodchem.2022.132340
• Languages: English
• ISSNs: 0308-8146

Abstract

Highlights: Dynamic interaction mechanism of A. flavus -maize was explored by SWIR-HSI and SR-FTIR. Spatio-temporal pattern of infected maize with incremental damage for 0–96 h was studied. Feature extraction and quantitative prediction of AFB1 were achieved by SWIR-HSI. SR-FTIR with 2DCOS reveals nutrient loss and AFB1 biosynthesis in micron-level. Macro- and micro-scopic chemical imaging techniques verified the dynamic process. Abstract: The dynamics mechanisms regulating the growth and AFB1 production of Aspergillus flavus during its interactions with maize kernels remain unclear. In this study, shortwave infrared hyperspectral imaging (SWIR-HSI) and synchrotron radiation Fourier transform infrared (SR-FTIR) microspectroscopy were combined to investigate chemical and spatial–temporal changes in incremental damaged maize kernels induced by A. flavus infection at macroscopic and microscopic levels. SWIR-HSI was employed to extract spectral information of A. flavus growth and quantitatively detect AFB1 levels. Satisfactory full-spectrum models and simplified multispectral models were obtained respectively by partial least squares regression (PLSR) for three types of samples. Furthermore, SR-FTIR microspectroscopy coupled with two-dimensional correlation spectroscopy (2DCOS) was utilized to reveal the possible sequence of dynamic changes of nutrient loss and trace AFB1 in maize kernels. It exhibited new insights on how to quantify the spatio-temporal patterns of fungal infection and AFB1 accumulation on maize and provided theoretical basis for online sorting.