2017
DOI: 10.11591/ijece.v7i6.pp3070-3075
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Design and Development of a Shortwave near Infrared Spectroscopy using NIR LEDs and Regression Model

Abstract: 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 preci… Show more

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Cited by 3 publications
(3 citation statements)
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“…In [9][10][11][12], the effect of phosphor location on the spatial color distribution was investigated. Moreover, some researchers were concentrated on enhancing the optical performance of multichip white LEDs (MCW-LEDs) by adding green or red phosphor into the phosphor layer [13][14][15][16][17].…”
Section: Introductionmentioning
confidence: 99%
“…In [9][10][11][12], the effect of phosphor location on the spatial color distribution was investigated. Moreover, some researchers were concentrated on enhancing the optical performance of multichip white LEDs (MCW-LEDs) by adding green or red phosphor into the phosphor layer [13][14][15][16][17].…”
Section: Introductionmentioning
confidence: 99%
“…The design of low-cost fluorometers that improve the optical spectroscopy [12] of biological materials teaching in basic education institutions or in scientific research is a gap we must face [10,[13][14][15]. Currently, LED technology [16] as an excitation source has been replacing lasers because they are cheap, have low current consumption, and are easy to implement. All these characteristics make them ideal for the development of fluorometers in schools, colleges, and universities.…”
Section: Introductionmentioning
confidence: 99%
“…handheld and portable instrument) are two key development areas in near infrared (NIR) sensing technology that enable real-time online monitoring and process control with relatively lower cost [24]. The latter may due to the development of light emitting diode (LED) technology and machine learning that has enable the possibility to design a low cost portable NIR sensor for various researches [25] e.g. predicting the internal quality of pineapples [26], predicting the ripeness of white grapes [27], tumor discrimination [28], and predicting the glucose level [29], [30].…”
mentioning
confidence: 99%