Journal ID : AMA-23-11-2021-10873
[This article belongs to Volume - 52, Issue - 03]
Total View : 392

Title : Prediction of Soluble Solids Content of Jackfruit from Skin Surface Using Spectroscopic Method

Abstract :

Soluble solids content (SSC) of a jackfruit is a critical quality indicator to evaluate the ripeness of the fruit. To date, there is no portable and low-cost device is available to be used at a field for a rapid maturity screening of a jackfruit. The purpose of this study was to investigate the feasibility of utilizing a shortwave near infrared (SWNIR) spectroscopy to predict SSC of a jackfruit from its skin surface. In this study, 29 fresh jackfruit samples were used. The jackfruits were divided into five main sections from the stalk to bottom to represent different areas of the fruits (top, upper middle, middle, lower middle, and bottom). Then, each section was further divided into six portions, producing 870 skin portions altogether. The spectral data was obtained from these 870 skin portions using a SWNIR spectroscopy. The SSC for each portion was determined using a handheld digital refractometer. A correlation between the spectral data and SSC was developed using a partial least square (PLS) regression method. For the calibration model, the value of coefficient of determination (R2) and root mean square of calibration (RMSEC) were 0.94 and 0.50, respectively. While for the prediction model, the value of R2 and root means square of prediction (RMSEP) were 0.93 and 0.50, respectively. The results indicate that the spectral data correlated well with SSC values. Thus, it is concluded that the SWNIR spectroscopy has the ability to estimate SSC of the jackfruits from their outer skin surface.

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