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Submitted to: Book Chapter
Publication Type: Book / Chapter Publication Acceptance Date: 6/30/2014 Publication Date: 9/1/2014 Citation: Kim, M.S. 2014. Chapter 19. Online screening of fruits and vegetables using hyperspectral line-scan imaging techniques.In High Throughput Screening for Food Safety Assessment: Biosensor Technologies, Hyperspectral Imaging and Practical Applications. Chapter 6, Editors, A.K. Bhunia, M.S. Kim, and C.R. Taitt. Woodhead Pub., Cambridge, UK. Chapter 19, p 467-487. 2014. Interpretive Summary: Technical Abstract: Over the last fifteen years, myriads of hyperspectral research studies have focused and reported on finding spectral imaging approaches suitable for potential online implementation to evaluate food and agricultural samples of interest. ARS researchers in Beltsville, Maryland, pioneered the online implementation of hyperspectral line-scan imaging in a commercial food processing environment (i.e., online inspection of broiler chickens for wholesomeness). The research and development effort for use of hyperspectral line-scan imaging as a multispectral platform has been expanded to online produce safety and quality inspection. To achieve comprehensive online quality and safety inspection of fruits and vegetables, whole-surface sample presentation and imaging regimes must be considered. Because of the morphological shape differences between round fruits and relatively flat leafy greens, two independent methods are in development to achieve effective whole-surface sample evaluation based on the use of a single hyperspectral line-scan imaging device on a processing line. In this chapter, the whole-surface fruit and vegetable spectral imaging methods that allow simultaneous safety and quality inspection online are presented. It is certain that hyperspectral/multispectral line-scan imaging will find its niche in produce processing and inspection in the near future. |
