Open AccessPrediction of water content and soluble solids content of ‘manalagi’ apples using near infrared spectroscopy
Author(s) -
K Kusumiyati,
Yuda Hadiwijaya,
Diding Suhandy,
Agus Arip Munawar
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/922/1/012062
Subject(s) - partial least squares regression , calibration , content (measure theory) , principal component regression , near infrared spectroscopy , chemistry , coefficient of determination , analytical chemistry (journal) , spectroscopy , mean squared error , principal component analysis , chemometrics , linear regression , mathematics , statistics , chromatography , optics , physics , mathematical analysis , quantum mechanics
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.