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Sensors 2013, 13(4), 4876-4883; doi:10.3390/s130404876
Communication

Near Infrared Spectral Linearisation in Quantifying Soluble Solids Content of Intact Carambola

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Received: 20 January 2013; in revised form: 23 March 2013 / Accepted: 28 March 2013 / Published: 12 April 2013
(This article belongs to the Section Physical Sensors)
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Abstract: This study presents a novel application of near infrared (NIR) spectral linearisation for measuring the soluble solids content (SSC) of carambola fruits. NIR spectra were measured using reflectance and interactance methods. In this study, only the interactance measurement technique successfully generated a reliable measurement result with a coefficient of determination of (R2) = 0.724 and a root mean square error of prediction for (RMSEP) = 0.461° Brix. The results from this technique produced a highly accurate and stable prediction model compared with multiple linear regression techniques.
Keywords: carambola; NIR; soluble solids content; spectral linearisation carambola; NIR; soluble solids content; spectral linearisation
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Omar, A.F.; MatJafri, M.Z. Near Infrared Spectral Linearisation in Quantifying Soluble Solids Content of Intact Carambola. Sensors 2013, 13, 4876-4883.

AMA Style

Omar AF, MatJafri MZ. Near Infrared Spectral Linearisation in Quantifying Soluble Solids Content of Intact Carambola. Sensors. 2013; 13(4):4876-4883.

Chicago/Turabian Style

Omar, Ahmad F.; MatJafri, Mohd Z. 2013. "Near Infrared Spectral Linearisation in Quantifying Soluble Solids Content of Intact Carambola." Sensors 13, no. 4: 4876-4883.


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