Proceedings Article | 17 May 2013
KEYWORDS: Near infrared, Glucose, Calibration, Near infrared spectroscopy, Reflectance spectroscopy, Inspection, Agriculture, Reflectivity, Spectroscopy, Statistical analysis
Carbohydrate contents have been demonstrated as indicators for flowering quality of Phalaenopsis plants. In this study,
near infrared reflectance (NIR) spectroscopy was employed for quantitative analysis of carbohydrate contents like
fructose, glucose, sucrose, and starch in Phalaenopsis. The modified partial least squares regression (MPLSR) method
was adopted for spectra analyses of 176 grown plant samples (88 shoots and 88 roots), over the full wavelength range
(FWR, 400 to 2498 nm). For fructose concentrations, the smoothing 1st derivative model can produce the best effect (Rc
= 0.961, SEC = 0.210% DW, SEV = 0.324% DW) in the wavelength ranges of 1400-1600, 1800-2000, and 2200-2300
nm. For glucose concentrations, the smoothing 1st derivative model can produce the best effect (Rc = 0.975, SEC =
0.196% DW, SEV = 0.264% DW) in the wavelength range of 1400-1600, 1800-2000, and 2100-2400 nm. For sucrose
concentrations, the smoothing 1st derivative model can produce the best effect (Rc = 0.961, SEC = 0.237% DW, SEV =
0.322% DW) in the wavelength range of 1300-1400, 1500-1800, 2000-2100, and 2200-2300 nm. For starch
concentrations, the smoothing 1st derivative model can produce the best effect (Rc = 0.873, SEC = 0.697% DW, SEV =
0.774% DW) in the wavelength ranges of 500-700, 1200-1300, 1700-1800, and 2200-2300 nm. This study successfully
developed the calibration models for inspecting concentrations of carbohydrates to predict the flowering quality in
different cultivation environments of Phalaenopsis. The specific wavelengths can be used to predict the quality of
Phalaenopsis flowers and thus to adjust cultivation managements.
