Empirical approach to improve the prediction of soluble solids content in mango using near-infrared spectroscopy

Phuangsombut K., . and Phuangsombut A., . and Terdwongworakul A., . Empirical approach to improve the prediction of soluble solids content in mango using near-infrared spectroscopy. pp. 217-223. ISSN 2231-7546

The present work studied the effect of peel on the performance of near-infrared (NIR) spectroscopy for estimating the soluble solids content (SSC) of mangoes and on SSC estimation improvement using the empirical approach developed from our previous work. The results showed that a partial least squares (PLS) regression model based on intact fruit or unpeeled NIR spectra had lower accuracy (correlation coefficient r 0.84; root mean squared error of prediction RMSEP 1.50 Brix) than using flesh or peeled fruit NIR spectra (r 0.88; RMSEP 1.27 Brix). Improved prediction was obtained (r 0.87 and RMSEP 1.36 Brix) by applying the empirical approach (which partially removed the difference between the flesh and the peel and the flesh spectra) to the original peel and flesh spectrum prior to developing the PLS model. The empirical approach proved beneficial in improving the prediction of the SSC in mango fruit which was affected by the peel.

Full text available from: Official URL: http://www.ifrj.upm.edu.my/27%20(02)%202020/02%20-...

Abstract

The present work studied the effect of peel on the performance of near-infrared (NIR) spectroscopy for estimating the soluble solids content (SSC) of mangoes and on SSC estimation improvement using the empirical approach developed from our previous work. The results showed that a partial least squares (PLS) regression model based on intact fruit or unpeeled NIR spectra had lower accuracy (correlation coefficient r 0.84; root mean squared error of prediction RMSEP 1.50 Brix) than using flesh or peeled fruit NIR spectra (r 0.88; RMSEP 1.27 Brix). Improved prediction was obtained (r 0.87 and RMSEP 1.36 Brix) by applying the empirical approach (which partially removed the difference between the flesh and the peel and the flesh spectra) to the original peel and flesh spectrum prior to developing the PLS model. The empirical approach proved beneficial in improving the prediction of the SSC in mango fruit which was affected by the peel.

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Item Type:	Article
AGROVOC Term:	Mangoes
AGROVOC Term:	Mangifera indica
AGROVOC Term:	Near infrared spectroscopy
AGROVOC Term:	Laboratory experimentation
AGROVOC Term:	Spectral analysis
AGROVOC Term:	Prediction
AGROVOC Term:	Statistical analysis
AGROVOC Term:	Peel
AGROVOC Term:	Fruits
Depositing User:	Mr. AFANDI ABDUL MALEK
Last Modified:	24 Apr 2025 00:54
URI:	http://webagris.upm.edu.my/id/eprint/8988

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