• Spectroscopy and Spectral Analysis
  • Vol. 35, Issue 10, 2940 (2015)
WEI Zi-min1、*, WANG Xing-lei1, PAN Hong-wei2, ZHAO Yue1, XIE Xin-yu1, ZHAO Yi1, ZHANG Lin-xue1, and ZHAO Tao-zhi1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less
    DOI: 10.3964/j.issn.1000-0593(2015)10-2940-06 Cite this Article
    WEI Zi-min, WANG Xing-lei, PAN Hong-wei, ZHAO Yue, XIE Xin-yu, ZHAO Yi, ZHANG Lin-xue, ZHAO Tao-zhi. Assessment of the Fluorescence Spectra Characteristics of Dissolved Organic Matter Derived from Organic Waste Composting Based on Projection Pursuit Classification (PPC)[J]. Spectroscopy and Spectral Analysis, 2015, 35(10): 2940 Copy Citation Text show less

    Abstract

    The characteristics of fluorescence spectra of dissolved organic matter (DOM) derived from composting is one of the key ways to assess the compost maturity. However, the existing methods mainly focus on the qualitative description for the humification degree of compost. In this paper, projection pursuit classification (PPC) was conducted to quantitative assess the grades of compost maturity, based on the characteristics of fluorescence spectra of DOM. Eight organic wastes (chicken manure, swine manure, kitchen waste, lawn waste, fruits and vegetables waste, straw, green waste, and municipal solid waste) composting were conducted, the germination percentage (GI) and fluorescence spectra of DOM were measured during composting. Statistic analysis with all fluorescence parameters of DOM indicated that I436/I383 (a ratio between the fluorescence intensities at 436 and 383 nm in excitation spectra), FLR (an area ratio between fulvic-like region from 308 to 363 nm and total region in emission spectra), PHA/Pro (a regional integration ratio between humic acid-like region to protein-like region in excitation emission matrix (EEM) spectra), A4/A1 (an area ratio of the last quarter to the first quarter in emission spectra), r(A,C) (a ratio between the fluorescence intensities of peak A and peak C in EEM spectra) were correlated with each other (p<0.01), suggesting that this fluorescence parameters could be considered as comprehensive evaluation index system of PPC. Subsequently, the four degrades of compost maturity included the best degree of maturity (Ⅰ, GI>80%), better degree of compost maturity (Ⅱ, 60%
    WEI Zi-min, WANG Xing-lei, PAN Hong-wei, ZHAO Yue, XIE Xin-yu, ZHAO Yi, ZHANG Lin-xue, ZHAO Tao-zhi. Assessment of the Fluorescence Spectra Characteristics of Dissolved Organic Matter Derived from Organic Waste Composting Based on Projection Pursuit Classification (PPC)[J]. Spectroscopy and Spectral Analysis, 2015, 35(10): 2940
    Download Citation