RAPID MEASUREMENT FOR MOISTURE AND CALORIFIC VALUE OF STRAW BASED ON NEAR INFRARED SPECTROSCOPY AND LOCAL ALGORITHM

文献类型: 外文期刊

第一作者: Huang Cai-Jin

作者: Huang Cai-Jin;Han Lu-Jia;Liu Xian;Huang Cai-Jin;Ma Ling-Juan

作者机构:

关键词: near infrared spectroscopy;LOCAL algorithm;moisture;calorific value

期刊名称:JOURNAL OF INFRARED AND MILLIMETER WAVES ( 影响因子:0.557; 五年影响因子:0.445 )

ISSN: 1001-9014

年卷期: 2009 年 28 卷 3 期

页码:

收录情况: SCI

摘要: Moisture and Calorific value, which are two of the most important properties of straw for energy conversion process, were predicted by near infrared spectroscopy (NIBS) technique and LOCAL algorithm. Firstly, the samples were evenly divided into 3 subsets according to the chemical values, named high, mid and low concentration respectively, to build global partial least square regression (PLS) calibrations. Standard errors of cross validation (SECV) of the three calibrations based on subsets were lower than that of calibration based on the whole samples, which suggested that the variation of moisture and calorific value affected the accuracy of NIBS calibrations. Then, LOCAL algorithm was introduced to near infrared spectroscopy analysis for rapid measurement of the moisture content and calorific value of straw samples. By the use of LOCAL algorithm, the prediction accuracy is improved compared to the PLS and MPLS models for both moisture and calorific value of straw. It is therefore concluded that LOCAL algorithm has a broad application prospect in quantitative analysis of straw.

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