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Evaluation of a miniaturized NIR spectrometer for estimating total curcuminoids in powdered turmeric samples

Suresh, H and Behera, AR and Selvaraja, SK and Pratap, R (2022) Evaluation of a miniaturized NIR spectrometer for estimating total curcuminoids in powdered turmeric samples. In: 5th IEEE International Conference on Emerging Electronics, ICEE 2020, 26 - 28 November 2020, New Delhi.

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Official URL: https://doi.org/10.1109/ICEE50728.2020.9776826

Abstract

Commercial availability of miniaturized spectrometers, equipped with machine learning, and cloud computing capabilities, is transforming the food-testing industry by enabling instant results and on-the-spot decision making. To demonstrate this, we have evaluated SCiO(TM) from Consumer Physics to quantify curcumin in turmeric with reflectance spectroscopy in the NIR region (740-1050nm). Different pre-processing combinations were tried to maximally extract useful information. The decision of the best combination was based on models built with Partial Least Squared Regression (PLSR) algorithm. The best combination yielded a model with a coefficient of determination (ℝ2) of 0.797 and a root-mean-squared error (RMSE) of 0.306. This was validated on a test set of 6 samples and gave a high ℝ2 of 0.93. This study shows potential for similar, instant quality analysis of other powdered spices with commercial spectrometers and optimized machine learning models.

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; Infrared devices; Machine learning; Mean square error; Quality control; Reflection; Spectrometers; Spectroscopy, Cloud-computing; Commercial availability; Computing capability; Curcumin; Curcuminoid; NIR spectrometer; Partial least squared regression; Pre-processing; Reflectance spectroscopy; SCiO, Food products
Department/Centre: Division of Interdisciplinary Sciences > Centre for Nano Science and Engineering
Date Deposited: 27 Jun 2022 09:39
Last Modified: 27 Jun 2022 09:39
URI: https://eprints.iisc.ac.in/id/eprint/74004

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