Articles
Quantitative analysis of quality for marian plum (Bouea burmanica Griff.) by transmittance near infrared spectroscopy
Article number
1213_81
Pages
537 – 542
Language
English
Abstract
Marian plum (Bouea burmanica Griff.) is one of the most popular tropical fruits in Thailand.
The good quality of marian plum is required by consumers.
Total soluble solid (TSS) and titratable acidity (TA) are important indices for consideration of quality for marian plum.
Transmittance mode of near infrared (NIR) spectroscopy in the short wavelength (665-955 nm) was considered for nondestructive evaluation of quality in marian plum.
A set of 153 marian plums (105 samples for a calibration group and 48 samples for a prediction group) was carried out in this research.
The partial least squares regression (PLSR) was used to develop the calibration models.
Spectral pretreatments were investigated in order to obtain the best performance of the models.
A calibration model for TSS using original spectra obtained best results for calibration and prediction (R=0.90, RMSEC=0.57 °Bx and R=0.88, RMSEP=0.65 °Bx, respectively). As well as the calibration model for TA using original spectra obtained best results for calibration and prediction (R=0.98, RMSEC=0.01% and R=0.88, RMSEP=0.03%, respectively). All results indicated that it is possible to use transmittance SW-NIRS for nondestructive prediction of TSS and TA in marian plums.
The good quality of marian plum is required by consumers.
Total soluble solid (TSS) and titratable acidity (TA) are important indices for consideration of quality for marian plum.
Transmittance mode of near infrared (NIR) spectroscopy in the short wavelength (665-955 nm) was considered for nondestructive evaluation of quality in marian plum.
A set of 153 marian plums (105 samples for a calibration group and 48 samples for a prediction group) was carried out in this research.
The partial least squares regression (PLSR) was used to develop the calibration models.
Spectral pretreatments were investigated in order to obtain the best performance of the models.
A calibration model for TSS using original spectra obtained best results for calibration and prediction (R=0.90, RMSEC=0.57 °Bx and R=0.88, RMSEP=0.65 °Bx, respectively). As well as the calibration model for TA using original spectra obtained best results for calibration and prediction (R=0.98, RMSEC=0.01% and R=0.88, RMSEP=0.03%, respectively). All results indicated that it is possible to use transmittance SW-NIRS for nondestructive prediction of TSS and TA in marian plums.
Authors
S. Phonmakham, N. Suttivijitpukdee, S. Teerachaichayut
Keywords
nondestructive, total soluble solid, titratable acidity and prediction
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