Prediction of water content and soluble solids content of 'manalagi' apples using near infrared spectroscopy. Issue 1 (November 2021)

• Record Type: Journal Article
• Authors: Kusumiyati, K; Hadiwijaya, Y; Suhandy, D; Munawar, A A
• Is Part Of: IOP conference series. Volume 922:Issue 1(2021)
• Publication Date: 2021-11
• Subjects: Earth sciences -- Periodicals; Environmental sciences -- Congresses; Environmental sciences -- Periodicals; 550.5
• DOI: 10.1088/1755-1315/922/1/012062
• Languages: English
• ISSNs: 1755-1307

Abstract

Abstract: The purpose of the research was to predict quality attributes of 'manalagi' apples using near infrared spectroscopy (NIRS). The desired quality attributes were water content and soluble solids content. Spectra data collection was performed at wavelength of 702 to 1065 nm using a Nirvana AG410 spectrometer. The original spectra were enhanced using orthogonal signal correction (OSC). The regression approaches used in the study were partial least squares regression (PLSR) and principal component regression (PCR). The results showed that water content prediction acquired coefficient of determination in calibration set (R 2 cal) of 0.81, coefficient of determination in prediction set (R 2 pred) of 0.61, root mean squares error of calibration set (RMSEC) of 0.009, root mean squares of prediction set (RMSEP) of 0.020, and ratio performance to deviation (RPD) of 1.62, while soluble solids content prediction displayed R 2 cal, R 2 pred, RMSEC, RMSEP, and RPD of 0.79, 0.85, 0.474, 0.420, and 2.69, respectively. These findings indicated that near infrared spectroscopy could be used as an alternative technique to predict water content and soluble solids content of 'manalagi' apples.