Rapid analysis of humic acid content in composted kitchen waste by near infrared spectroscopy combined with improved partial least squares method
A rapid detection method based on near infrared spectroscopy analysis was proposed to determine the humic acid content of kitchen waste compost samples.This paper used near infrared spectrometer to collect the diffuse reflectance spectra of compost samples,and the humic acid content was determined by the volumetric method.The raw spectra were pretreated and analyzed by Savitzky-Golay convolution smoothing(SG),moving average smoothing(MA),standard normal variable transformation(SNV),SNV+first order derivative(FD)+MA,SNV+second order derivative(SD)+MA,SNV+FD+SG and SNV+SD+SG.The interval partial least squares(iPLS),backward interval partial least squares(biPLS)and synergy interval partial least squares(siPLS)were used to preferably select the spectral feature intervals and the analysis model of humic acid content was established.The results showed that when the SNV+FD+SG spectrum pretreatment combined with siPLS extracted spectral feature band of 4 389-4 775,7 583-7 976 cm 1,the siPLS model had the best prediction results.The root-mean-square error of cross-validation(RMSECV)and coefficient of correction(Rc)for the modeling set were 0.423 1 and 0.967 8,and the root-mean-square error of prediction(RMSEP)and coefficient of prediction(Rp)for the prediction set were 0.573 2 and 0.932 4.The results showed that the near infrared spectroscopy combined with the siPLS method accurately and quickly detected the humic acid content of kitchen waste compost samples,which provided a reference for improved detection means for rapid detection and characterization of humic acid content in organic waste compost samples.
near infrared spectroscopypartial least squares methodkitchen wasteaerobic compostinghumic acid
NETL
NSTL
万方数据
维普
