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An ultra-portable Vis-NIR spectrometer with an integrated light source for chemometric applications

Behera, AR and Kumar, A and Suresh, H and Pratap, M and Selvaraja, SK and Pratap, R (2020) An ultra-portable Vis-NIR spectrometer with an integrated light source for chemometric applications. In: Journal of the Electrochemical Society, 167 (16).

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Official URL: https://doi.org/10.1149/1945-7111/abc7e8


On-site material inspection and quality analysis of food and agricultural produce require portable sensing systems. We report the development of a miniaturized spectrometer with an integrated light source operating in the visible and near-infrared range, for chemometrics based material-sensing applications. The proposed system uses off-the-shelf light source and detector. The electronic circuit is designed, developed, and tested in-house. To validate the system's usability, a set of classification experiments are carried out with measured spectra from culinary white powders and medicinal pills. Several classification algorithms are used to build predictive models and the best-suited ones give prediction accuracies of 80 and 92.6 respectively. A regression model built to estimate the curcumin content in turmeric shows a coefficient-of-determination of 0.97 for prediction. With more than 90 repeatability in the measured reflectance spectra, robustness of the device is demonstrated. Realization of a portable spectrometer, along with a framework for building appropriate prediction models, is expected to spur the development of point-of-use material sensing in the Vis-NIR range. © 2020 The Author(s). Published on behalf of The Electrochemical Society by IOP Publishing Limited.

Item Type: Journal Article
Publication: Journal of the Electrochemical Society
Publisher: IOP Publishing Ltd
Additional Information: The copyright for this article belongs to the Authors.
Keywords: Agricultural robots; Forecasting; Infrared devices; Light sources; Pelletizing; Regression analysis; Spectrometers, Classification algorithm; Integrated light source; On-site materials; Prediction accuracy; Predictive models; Reflectance spectrum; Sensing applications; Visible and near infrared, Predictive analytics
Department/Centre: Division of Interdisciplinary Sciences > Centre for Nano Science and Engineering
Date Deposited: 10 Jan 2023 04:48
Last Modified: 10 Jan 2023 04:48
URI: https://eprints.iisc.ac.in/id/eprint/78966

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