Differential color space analysis for investigating nutrient content in a pureed food dilution-flavor matrix: a step toward objective malnutrition risk assessment

Kaylen J. Pfisterer; Robert Amelard; Alexander Wong

doi:10.1117/12.2289028

20 February 2018 Differential color space analysis for investigating nutrient content in a puréed food dilution-flavor matrix: a step toward objective malnutrition risk assessment

Kaylen J. Pfisterer, Robert Amelard, Alexander Wong

Author Affiliations +

Proceedings Volume 10501, Optical Diagnostics and Sensing XVIII: Toward Point-of-Care Diagnostics; 105010J (2018) https://doi.org/10.1117/12.2289028
Event: SPIE BiOS, 2018, San Francisco, California, United States

Abstract

Dysphagia (swallowing difficulty) increases risk for malnutrition and affects at least 15% of American older adults, and 590 million people worldwide. Malnutrition is associated with increased mortality, increased morbidity, decreased quality of life, and accounts for over $15 billion (USD) health-care related costs each year. While modified texture diets (e.g., puréed food) reduce the risk of choking, quality assurance is necessary for monitoring nutrient density to ensure food meets nutritional requirements. However, current methods are subjective and time consuming. The purpose of this study was to investigate the feasibility of optical techniques for an objective assessment of food nutrient density in puréed samples. Motivated by a theoretical optical dilution model, broadband spectral images of commercially prepared purée samples were acquired. Specifically, 13 flavors at five dilutions relative to initial concentration, each with six replicates, were acquired for a total of 390 samples. Purée samples were prepared and loaded onto a white reflectance back plane to maximize photon traversal path length through the purée. The sample was illuminated with a tungsten-halogen illumination source fitted with a front glass fabric diffuser for spatially homogeneous illumination. This broadband illuminant was chosen to observe as many food-light spectral absorbance interactions as possible. Flavor-stratified correlation analysis was performed on this food image dataset to investigate the relationship between nutritional information and color space transformations. A special case of blueberry is presented as the effect of anthocyanins was quantitatively observed through normalized spectral trends in response to pH perturbations across dilutions.

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Kaylen J. Pfisterer, Robert Amelard, and Alexander Wong "Differential color space analysis for investigating nutrient content in a puréed food dilution-flavor matrix: a step toward objective malnutrition risk assessment", Proc. SPIE 10501, Optical Diagnostics and Sensing XVIII: Toward Point-of-Care Diagnostics, 105010J (20 February 2018); https://doi.org/10.1117/12.2289028

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