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ARS Home » Southeast Area » New Orleans, Louisiana » Southern Regional Research Center » Food and Feed Safety Research » Research » Publications at this Location » Publication #279433

Research Project: Developing Resistance to Aflatoxin through Seed-Based Technologies

Location: Food and Feed Safety Research

Title: Safety inspection of plant products

Author
item YAO, HAIBO - Mississippi State University
item HRUSKA, ZUZANA - Mississippi State University
item Brown, Robert
item Bhatnagar, Deepak
item Cleveland, Thomas

Submitted to: Book Chapter
Publication Type: Book / Chapter
Publication Acceptance Date: 10/28/2015
Publication Date: 10/28/2015
Citation: Yao, H., Hruska, Z., Brown, R.L., Bhatnagar, D., Cleveland, T.E. 2015. Safety inspection of plant products. In: Park, B., and Lu, R., Editors. Chapter 6 In Hyperspectral Imaging Technology in Food and Agriculture. Springer Publishers. p. 127-172.

Interpretive Summary:

Technical Abstract: Advances in hyperspectral imaging technology have provided enormous opportunity for the food industry and research community to develop rapid and non-invasive inspection methods for food safety inspection. This chapter reviews and discusses different aspects of using this technology in safety inspection of plant products. The global demand for fresh plant products is on the rise due to improved living standards and increased health awareness. Among issues related to food production, food safety is always of major concern. Three types of major contaminants including pathogens, chemical contaminants, and physical contaminants related to food safety, are discussed in this chapter. Also discussed is the utilization of hyperspectral imaging for potential safety inspection of plant products such as grain, produce, nuts, and spices. The products discussed are corn, wheat, barley, soybean, apple, vegetables, almond, walnut, pistachio, peanut, spice, etc. The main contaminants discussed are aflatoxin, fumonisin, fungal infection, and fecal contamination. With the development of innovative detection technology achieved by fusion of different hyperspectral data, or the combination of sensors, the detection accuracy of hyperspectral applications should continue improving. Therefore, it is expected that hyperspectral technology will be adapted and extended to more food safety applications in the near future.