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Preliminary study to predict moisture content of jackfruit skin using shortwave near infrared spectroscopy


Citation

Abdullah, Najidah and Mat Nawi, Nazmi and Ding, Phebe and Mohd Kassim, Muhamad Saufi and Mat Lazim, Siti Saripa Rabiah (2019) Preliminary study to predict moisture content of jackfruit skin using shortwave near infrared spectroscopy. Food Research, 3 (2). art. no. https://www.myfoodresearch.com/uploads/8/4/8/5/84855864/_7__fr-2018-135.r1_abdullah_2.pdf. pp. 128-132. ISSN 2550-2166

Abstract

Moisture content of a jackfruit is one of the main attributes used by farmers to determine the maturity level of the fruit. The objective of this preliminary research was to explore the potential application of low-cost shortwave near infrared (VSWNIR) spectroscopy to non-destructively predict moisture content of jackfruit from their outer skin. A total of 870 skin portions collected from twenty-nine jackfruit samples were used in this study. After the spectral measurement, the skin portions were dried in the oven in order to measure their moisture content (%, wet basis, w.b.). Partial least square (PLS) method was used to develop both calibration and prediction models for calibrating the spectral data with the moisture content. This study found that the value of coefficient of determination (R2) and root means square error of calibration (RMSEC)were 0.65 and 2.17, respectively. For the prediction model, the value of R2and root mean square error of prediction (RMSEP) were 0.64 and 2.81, respectively. These results indicated the VSWNIR spectrometer is a promising technology for non-destructively predicting moisture content of jackfruits.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Agriculture
Faculty of Engineering
Institute of Plantation Studies
DOI Number: https://doi.org/10.26656/fr.2017.3(2).135
Publisher: Rynnye Lyan Resources
Keywords: Jackfruit; Moisture content; Skin scanning; Spectroscopy; Non-destructive
Depositing User: Ms. Nida Hidayati Ghazali
Date Deposited: 02 Sep 2020 07:43
Last Modified: 02 Sep 2020 07:43
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.26656/fr.2017.3(2).135
URI: http://psasir.upm.edu.my/id/eprint/81809
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