Non-invasive methods of measuring carotenoids

Huang, Yi, and Song, Insu (2018) Non-invasive methods of measuring carotenoids. In: Proceedings of the 3rd International Conference on Biomedical Signal and Image Processing. pp. 87-91. From: ICBIP 2018: 3rd International Conference on Biomedical Signal and Image Processing, 22-24 August 2018, Seoul, Korea.

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Abstract

Recently, great interest has been generated in monitoring and increasing the level of antioxidants in the human body, as higher antioxidant levels are linked to better overall health and lower risk of various ailments. Not only have researchers gained a better understanding of the roles and development of antioxidants, they have also explored various methods of detecting antioxidant levels in humans. While research suggests that greater consumption of plant based food positively correlates with higher antioxidant levels, the general public, as well as health professionals lack a readily available, low cost, non-invasive, in vivo, and fast means of assessing antioxidant levels. In this study, previous research was reviewed in the areas of: relation between antioxidant level and cancer and other health problems, relation between antioxidant level and food consumption behavior, and detection of antioxidants by methods such as Raman spectroscopy and Reflectance spectroscopy. Previous studies suggest a strong connection between higher antioxidant level and lower cancer risk, while there also appears to be strong connection between antioxidant level and food consumption behavior. Based on their review of the research, this study’s authors propose a non-invasive, inexpensive and fast method for detecting antioxidant level, so as to encourage consumption of healthier diets.

Item ID: 58523
Item Type: Conference Item (Research - E1)
ISBN: 978-1-4503-7224-4
Keywords: Antioxidants, Carotenoids, Health self-assessment, Plant based foods, Sanners
Date Deposited: 05 Jun 2019 01:23
FoR Codes: 11 MEDICAL AND HEALTH SCIENCES > 1199 Other Medical and Health Sciences > 119999 Medical and Health Sciences not elsewhere classified @ 100%
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