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

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

School of Physics, Universiti Sains Malaysia, Penang 11800, Malaysia
Author to whom correspondence should be addressed.
Received: 20 January 2013 / Revised: 23 March 2013 / Accepted: 28 March 2013 / Published: 12 April 2013
(This article belongs to the Section Physical Sensors)
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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. View Full-Text
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 (CC BY 3.0).

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

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