[Analysis of chlorophyll in Gannan navel orange with algorithm of GA and SPA based on hyperspectral].
Guang pu xue yu guang pu fen xi = Guang pu
confidence
Key findings
GA and SPA selected characteristic wavelengths for chlorophyll prediction; SPA-PLS model (R=0.83, RMSE=2.30) outperformed GA-PLS; analytical method, not clinical.
View source on PubMed (PMID 23427571) ↗
- Sample size
- not_reported
- Population
- Gannan navel orange (hyperspectral imaging study)
- Dosing
- not_applicable
- Duration
- not_reported
- Route
- not_applicable
- Blinding
- not_reported
- Controls
- not_reported
- Drug class
- porphyrin pigment
Full abstract
The hyperspectral effective information of Gannan navel orange was extracted by genetic algorithm (GA) and successive projections algorithm (SPA) for partial least squares (PLS) model. Average spectral was extracted from region of interest (ROD) of hyperspectral images after preprocessing. GA and SPA were used to select 27 and 8 characteristic wavelengths for chlorophyll model with PLS. The correlation coefficients and rms error of GA-PLS were 0.80 and 2.45, and the correlation coefficients and rms error of SPA-PLS were 0.83 and 2.30, respectively. Overall results sufficiently demonstrate that SPA-PLS model has a greater advantage which can be combined with hyperspectral technique to be a nondestructive and rapid analytical method.