Design and development of a shortwave near infrared spectroscopy using NIR LEDs and regression model
Near infrared (NIR) spectroscopic technology has been getting more attention in various fields. The development of a low cost NIR spectroscopy is crucial to reduce the financial barriers so that more NIR spectroscopic applications will be investigated and developed by means of the NIR spectroscopic...
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| Format: | Article |
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Institute of Advanced Engineering and Science
2017
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| Online Access: | http://eprints.uthm.edu.my/4077/ |
| _version_ | 1848888189828202496 |
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| author | Kim, Seng Chia Tan, Yit Peng |
| author_facet | Kim, Seng Chia Tan, Yit Peng |
| author_sort | Kim, Seng Chia |
| building | UTHM Institutional Repository |
| collection | Online Access |
| description | Near infrared (NIR) spectroscopic technology has been getting more attention in various fields. The development of a low cost NIR spectroscopy is crucial to reduce the financial barriers so that more NIR spectroscopic applications will be investigated and developed by means of the NIR spectroscopic technology. This study proposes an alternative to measure shortwave NIR spectrum using one collimating lens, two slits, one NIR transmission grating, one linear array sensor, and one microcontroller. Five high precision narrow bands NIR light emitting diodes (LEDs) were used to calibrate the proposed spectroscopy. The effects of the proposed two slits design, the distance between the grating and linear array sensor, and three different regression models were investigated. The accuracy of the proposed design was cross-validated using leave-one-out cross-validation. Results show that the proposed two slits design was able to eliminate unwanted signals substantially, and the cross-validation was able to estimate the best model with root mean squared error of cross-validation of 3.8932nm. Findings indicate that the cross-validation approach is a good approach to estimate the final model without over-fitting, and the proposed shortwave NIR spectroscopy was able to estimate the peak value of the acquired spectrum from NIR LEDs with RMSE of 1.1616nm. |
| first_indexed | 2025-11-15T20:06:20Z |
| format | Article |
| id | uthm-4077 |
| institution | Universiti Tun Hussein Onn Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T20:06:20Z |
| publishDate | 2017 |
| publisher | Institute of Advanced Engineering and Science |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uthm-40772021-11-24T04:51:23Z http://eprints.uthm.edu.my/4077/ Design and development of a shortwave near infrared spectroscopy using NIR LEDs and regression model Kim, Seng Chia Tan, Yit Peng QD Chemistry Near infrared (NIR) spectroscopic technology has been getting more attention in various fields. The development of a low cost NIR spectroscopy is crucial to reduce the financial barriers so that more NIR spectroscopic applications will be investigated and developed by means of the NIR spectroscopic technology. This study proposes an alternative to measure shortwave NIR spectrum using one collimating lens, two slits, one NIR transmission grating, one linear array sensor, and one microcontroller. Five high precision narrow bands NIR light emitting diodes (LEDs) were used to calibrate the proposed spectroscopy. The effects of the proposed two slits design, the distance between the grating and linear array sensor, and three different regression models were investigated. The accuracy of the proposed design was cross-validated using leave-one-out cross-validation. Results show that the proposed two slits design was able to eliminate unwanted signals substantially, and the cross-validation was able to estimate the best model with root mean squared error of cross-validation of 3.8932nm. Findings indicate that the cross-validation approach is a good approach to estimate the final model without over-fitting, and the proposed shortwave NIR spectroscopy was able to estimate the peak value of the acquired spectrum from NIR LEDs with RMSE of 1.1616nm. Institute of Advanced Engineering and Science 2017 Article PeerReviewed Kim, Seng Chia and Tan, Yit Peng (2017) Design and development of a shortwave near infrared spectroscopy using NIR LEDs and regression model. International Journal of Electrical and Computer Engineering (IJECE), 7 (6). pp. 3070-3075. ISSN 2088-8708 https://dx.doi.org/ 10.11591/ijece.v7i6.pp3070-3075 |
| spellingShingle | QD Chemistry Kim, Seng Chia Tan, Yit Peng Design and development of a shortwave near infrared spectroscopy using NIR LEDs and regression model |
| title | Design and development of a shortwave near infrared spectroscopy using NIR LEDs and regression model |
| title_full | Design and development of a shortwave near infrared spectroscopy using NIR LEDs and regression model |
| title_fullStr | Design and development of a shortwave near infrared spectroscopy using NIR LEDs and regression model |
| title_full_unstemmed | Design and development of a shortwave near infrared spectroscopy using NIR LEDs and regression model |
| title_short | Design and development of a shortwave near infrared spectroscopy using NIR LEDs and regression model |
| title_sort | design and development of a shortwave near infrared spectroscopy using nir leds and regression model |
| topic | QD Chemistry |
| url | http://eprints.uthm.edu.my/4077/ http://eprints.uthm.edu.my/4077/ |