Abstract
For more than 30 years, near infrared spectroscopy has been a widely used analytical method of the agricultural, food, pharmaceutical, and chemical industries because of its versatility in quantitative and qualitative analyses, rapidness, accuracy, and ease of use. During the same period, digital image analysis has evolved for use in online inspection of products from these same industries. It has only been in the past few years that the combination of these technologies, hyperspectral image (HSI) analysis, has developed to the point where it can be used outside of research laboratories. The imaging capability adds another layer of complexity to spectral analysis with rewards of pixel-level precision, yet the underlying principles of quantum mechanics, light scatter, vibrational spectroscopy, and statistical regression all continue have importance in understanding HSI behavior. This chapter serves as a brief primer on these principles and draws knowledge from well accepted texts on spectroscopy as well as showcasing applications derived from agricultural food quality and safety research.
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Delwiche, S.R. (2015). Basics of Spectroscopic Analysis. In: Park, B., Lu, R. (eds) Hyperspectral Imaging Technology in Food and Agriculture. Food Engineering Series. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2836-1_3
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DOI: https://doi.org/10.1007/978-1-4939-2836-1_3
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