Biotechnology for Biofuels and Bioproducts

Table 3 Results of calibration and prediction models for discriminating mature bamboo and juvenile bamboo

From: Rapid determination of chemical composition and classification of bamboo fractions using visible–near infrared spectroscopy coupled with multivariate data analysis

Wavelength (nm)	Sample sets	Factors	R ²	SEC/SEV	Factors	R ²	SEC/SEV
400–780 (n = 160)	Calibration	10	0.96	0.10	10	0.96	0.10
400–780 (n = 160)	Validation	10	0.94	0.12	10	0.94	0.12
780–2500 (n = 160)	Calibration	7	0.98	0.08	7	0.98	0.08
780–2500 (n = 160)	Validation	7	0.96	0.09	7	0.96	0.09
400–2500 (n = 160)	Calibration	9	0.98	0.07	9	0.98	0.07
400–2500 (n = 160)	Validation	9	0.97	0.09	9	0.97	0.09

Three regions of wavelength were selected to establish models, and these spectra came from original data. The number of juvenile bamboo and mature bamboo samples were 60 and 100, respectively

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ISSN: 2731-3654

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