Next Article in Journal
Estimation of Distribution Algorithm for Resource Allocation in Green Cooperative Cognitive Radio Sensor Networks
Previous Article in Journal
Automated Feature Set Selection and Its Application to MCC Identification in Digital Mammograms for Breast Cancer Detection
Article Menu

Export Article

Open AccessCommunication
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)
View Full-Text   |   Download PDF [194 KB, 21 June 2014; original version 21 June 2014]   |  

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 (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

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.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top