Component Analysis of Biochar Based on Near Infrared Spectroscopy Technology / 分析化学

ABSTRACT

A rapid quantitative component analysis method for biochar based on near infrared spectroscopy (NIRS) technology was established in this study. Near infrared spectra of 163 samples in 10000-3800 cm-1 (1000-2632 nm) range were collected, and the contents of fixed carbon (FC), volatile matter (VM) and ash of samples were analyzed. A partial least square(PLS) model for FC,VM and Ash was established in the optimized model spectral ranges. The factors were optimized and the raw spectra were pretreated by multiple scatter correction and second derivative(MSC+SD) method. Finally,the prediction performance of predictive model was evaluated. The results showed that the PLS model had a good prediction ability,and the predicted coefficient R2pof actual values vs prediction values for FC, VM and Ash were 0.9423,0.9517 and 0.9265, respectively. Root mean square errors of prediction(RMSEP) were 0.1074,0.1201 and 0.1243,and ratios of prediction to deviation(RPD) were 3.51,4.28 and 2.03,respectively. The PLS model has good accuracy and precision for both of FC and VM, and can be used as a quantitative method for FC and VM contents analysis. Nevertheless,PLS model needs to improve the precision for Ash analysis according to RPD value. The method provides a fast and effective technical means for the quantitative analysis of biochar components.