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ARS Home » Plains Area » Manhattan, Kansas » Center for Grain and Animal Health Research » Stored Product Insect and Engineering Research » Research » Publications at this Location » Publication #381917

Research Project: Impacting Quality through Preservation, Enhancement, and Measurement of Grain and Plant Traits

Location: Stored Product Insect and Engineering Research

Title: [RA] NIR spectral imaging for animal feed quality and safety

Author
item DANTES-MENDOZA, P.T. - Kansas State University
item HURBURGH, CHARLES - Iowa State University
item MAIER, DIRK - Iowa State University
item Armstrong, Paul

Submitted to: Applied Engineering in Agriculture
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 9/12/2023
Publication Date: 9/12/2024
Citation: Dantes-Mendoza, P., Hurburgh, C.R., Maier, D.M., Armstrong, P.R. 2024. [RA] NIR spectral imaging for animal feed quality and safety. Applied Engineering in Agriculture. 39(6): 553-564. https://doi.org/10.13031/aea.15051.
DOI: https://doi.org/10.13031/aea.15051

Interpretive Summary: The increasing need for safe and quality animal-derived food products and the limitations of slow and destructive traditional screening methods have driven the development of fast, accurate and reliable testing methods for evaluation of animal feed safety and quality parameters. One method being studied and applied recently is near-infrared hyperspectral imaging (NIR HSI). This is an analytical method that provides chemical and spatial information of the sample. It has been applied to various food and agricultural products and is gaining acceptance for commercial use in the food industry. This review presents research progress with respect to applications of NIR HSI for safety and quality evaluation of animal feed ingredients, especially for screening illegal adulteration and contamination of feed materials, detecting biological contamination and damage, measuring compositional concentrations and evaluating feed processing parameters. Major results and limitations of the different studies reviewed were highlighted. With its potential uses and applications for animal feed, NIR HSI is a promising breakthrough for enhanced quality control in the feed industry.

Technical Abstract: The increasing need for safe and quality animal-derived food products and the limitations of slow and destructive traditional screening methods have driven the development of fast, accurate and reliable testing methods for evaluation of animal feed safety and quality parameters. One of the methods being applied recently is near-infrared hyperspectral imaging (NIR HSI), an analytical technique that provides chemical and spatial information of the sample. It has been applied to various food and agricultural products and is gaining acceptance for commercial use in the food industry. This review presents research progress with respect to applications of NIR HSI for safety and quality evaluation of animal feed ingredients, specifically in screening illegal adulteration and contamination of feed materials, detecting biological contamination and damage, measuring constituent concentrations and other quality properties, and evaluating feed processing parameters. Major results, multivariate analysis and hyperspectral image processing algorithms used, and limitations of the different studies being reviewed were highlighted. With its potential uses and applications on animal feed, NIR HSI is a promising breakthrough in the feed industry.