光谱学与光谱分析 |
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Rapidly Determination of Compositions of Animal Manure Compost Using Near Infrared Reflectance Spectroscopy |
HUANG Guang-qun1,2,HAN Lu-jia1,2*,YANG Zeng-ling1,2 |
1. College of Engineering,China Agricultural University,Beijing 100083,China 2. Key Laboratory of Modern Precision Agriculture System Integration, Ministry of Education, Beijing 100083, China |
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Abstract Composting is a process of aerobic thermophilic microbial degradation or an exothermic biological oxidation of various wastes by many populations of the indigenous microorganisms, which lead to a stabilized, mature, deodorized and hygienic product, free of pathogens and plant seeds, rich in humic substances, less volume, easy to store and marketable as organic amendment or fertilizer. Compared to the conventional wet chemical method, near-infrared reflectance spectroscopy (NIRS), a rapid, nondestructive, cost-effective technique, has been extensively used for qualitative and quantitative analysis in the field of agriculture. This study was to explore the capability of NIRS to analyze the compositions of Chinese animal manure compost. A representative population of 120 animal manure compost samples from 22 provinces in China was selected as research object, and this study explored the feasibility of analyzing animal manure compost compositions, which included moisture (Moist), volatile solid (VS), total organic carbon (TOC), total nitrogen (TN), C∶N, pH and Electronic conductivity (EC) using NIRS. Original samples were scanned with a SPECTRUM ONE NTS (Perkin Elmer, New Jersey, USA) from 10 000 to 4 000 cm-1. NIRS calibrations of a series of chemical parameters were developed by means of partial least-squares (PLS) regression. Results showed that the determination coefficient of calibration (r2) and the standard error of estimate (SEE) were Moist(0.981 6, 21.98), VS(0.936 5, 37.29), TOC(0.961 0, 16.46), TN(0.987 4, 1.61), C∶N(0.741 0, 2.29), pH(0.788 0, 0.48) and EC(0.870 4, 1.74), respectively. The determination coefficient of validation (r2V) and the standard error of prediction (SEP) were Moist(0.983 2, 20.99), VS(0.938 1, 35.07), TOC(0.912 8, 26.34), TN(0.973 5, 3.96), C∶N(0.830 8, 2.01), pH(0.615 8, 0.60) and EC(0.895 3, 1.87), respectively. The value of RPD (SD/SEP) for Moist, VS, TOC, TN and EC were all greater than 3.0, 2.39 for C∶N and 1.63 for pH. Together, results showed the feasibility and efficiency of NIRS to determinate compositions of animal manure compost.
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Received: 2006-08-06
Accepted: 2006-10-28
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Corresponding Authors:
HAN Lu-jia
E-mail: hanlj@cau.edu.cn
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Cite this article: |
HUANG Guang-qun,HAN Lu-jia,YANG Zeng-ling. Rapidly Determination of Compositions of Animal Manure Compost Using Near Infrared Reflectance Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27(11): 2203-2207.
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URL: |
https://www.gpxygpfx.com/EN/Y2007/V27/I11/2203 |
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