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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Abstract
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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