Detection of spent turmeric adulteration in powdered Curcuma longa using Vis-NIR spectroscopy and machine learning

Behera, AR and Suresh, H and Kumar, A and Selvaraja, SK and Pratap, R (2022) Detection of spent turmeric adulteration in powdered Curcuma longa using Vis-NIR spectroscopy and machine learning. In: 5th IEEE International Conference on Emerging Electronics, ICEE 2020, 26 - 28 November 2020, New Delhi.

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Abstract

Adulteration of turmeric powders with spent turmeric is, unfortunately, a common practice in India, and there is an increased demand for in-field analysis during authentication testing for quick decision making. We propose the use of a miniaturized spectrometer and reflectance spectroscopy in the Vis-NIR range along with machine learning for detecting the level of such adulteration. Six different regression methods were used, and linear regression was found to be the best with less than 15 error in prediction. Demonstration of this application paves the way for use of portable Vis-NIR reflectance spectroscopy to inspect the quality of turmeric powder.

Item Type:	Conference Paper
Publication:	2020 5th IEEE International Conference on Emerging Electronics, ICEE 2020
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to the Institute of Electrical and Electronics Engineers Inc.
Keywords:	Decision making; Food products; Machine learning; Near infrared spectroscopy; Reflection; Regression analysis; Spectrometers, Adulteration; Curcuma longa; Curcumin; Decisions makings; Field analysis; In-field; Reflectance spectroscopy; Spend turmeric; Turmeric powder; Vis/NIR spectroscopy, Infrared devices
Department/Centre:	Division of Interdisciplinary Sciences > Centre for Nano Science and Engineering
Date Deposited:	27 Jun 2022 09:45
Last Modified:	27 Jun 2022 09:45
URI:	https://eprints.iisc.ac.in/id/eprint/74005

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