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Detection of aflatoxin B 1 level and revelation of its dynamic accumulation process using visible/near-infrared hyperspectral and microscopic imaging.
- Source :
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International journal of food microbiology [Int J Food Microbiol] 2025 Jan 13; Vol. 431, pp. 111065. Date of Electronic Publication: 2025 Jan 13. - Publication Year :
- 2025
- Publisher :
- Ahead of Print
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Abstract
- Understanding and controlling the dynamic process of aflatoxin B <subscript>1</subscript> (AFB <subscript>1</subscript> ) accumulation by Aspergillus flavus (A. flavus) remains challenging. In this study, the A. flavus development and AFB <subscript>1</subscript> accumulation were investigated using visible/near-infrared (Vis/NIR) hyperspectral imaging (HSI) on culture media, Potato Dextrose Agar (PDA), PDA + l-glutamine (Gln), and PDA + rapamycin (RAPA). In addition, the levels of AFB <subscript>1</subscript> in various heterogeneous regions of colonies were measured and their microscopic morphology was characterized. In the temporal and spatial domains, fungal colonies exhibited a concentric circular response pattern. A continuous increase in AFB <subscript>1</subscript> content was observed in the PDA and PDA + Gln groups as culture time increased. The growth of A. flavus and aflatoxin accumulation were promoted by adding Gln to PDA. However, adding RAPA inhibited the development of fungi and the production of AFB <subscript>1</subscript> . The distribution of AFB <subscript>1</subscript> across the fungal colony was uneven, and this heterogeneity was associated with the aging and autolysis of the hyphae. Principal component analysis showed that spectral bands of 480, 623, 674, 726 nm were related to the color changes of hyphae and spores during colony growth; however, wavelengths of 840, 882, 867, 972 nm were key bands related to changes in nutritional composition. Multiple preprocessing techniques and modeling methods employed to construct regression models for predicting AFB <subscript>1</subscript> contents showed that the first-derivative and partial least squares regression (PLSR) provided the best results. A visualization map of AFB <subscript>1</subscript> levels established using the optimal model showed a spatial pattern similar to the measurement results. This study highlights the application potential of Vis/NIR HSI for monitoring A. flavus growth and AFB <subscript>1</subscript> content.<br />Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2025 Elsevier B.V. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1879-3460
- Volume :
- 431
- Database :
- MEDLINE
- Journal :
- International journal of food microbiology
- Publication Type :
- Academic Journal
- Accession number :
- 39854958
- Full Text :
- https://doi.org/10.1016/j.ijfoodmicro.2025.111065