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光谱预处理对近红外光谱无损检测番茄可溶性固形物含量的影响
引用本文:马兰,夏俊芳,张战锋,王志山.光谱预处理对近红外光谱无损检测番茄可溶性固形物含量的影响[J].华中农业大学学报,2008,27(5).
作者姓名:马兰  夏俊芳  张战锋  王志山
作者单位:华中农业大学工程技术学院,武汉,430070
摘    要:为了探索适合近红外光谱无损检测番茄可溶性固形物含量的光谱预处理方法,比较了平均光谱和10种光谱预处理方法对偏最小二乘法建模效果的影响,常数偏移消除预处理后的光谱,所建偏最小二乘法校正模型的预测值和实测值的相关系数为0.954,校正标准差为0.321%,最能代表番茄可溶性固形物含量信息的光谱区为11998.9~5449.8cm-1和4601.3~4246.5cm-1.结果表明常数偏移消除是近红外光谱无损检测番茄可溶性同形物含量的有效预处理方法.

关 键 词:番茄  近红外光谱  可溶性同形物

Effects of Spectral Pretreatment on Nondestructive Evaluation of Soluble Solids Content of Tomatoes with Near Infrared Spectroscopy
MA Lan XIA Jun-fang ZHANG Zhan-feng WANG Zhi-shan.Effects of Spectral Pretreatment on Nondestructive Evaluation of Soluble Solids Content of Tomatoes with Near Infrared Spectroscopy[J].Journal of Huazhong Agricultural University,2008,27(5).
Authors:MA Lan XIA Jun-fang ZHANG Zhan-feng WANG Zhi-shan
Institution:College of Engineering and Technology;Huazhong Agricultural University;Wuhan 430070;China
Abstract:In order to search for an appropriate preprocessing method for the nondestructive measurement of soluble solids content in tomato samples by using near infrared diffuse reflection spectroscopy,the average spectroscopy method was compared with 10 different spectra data preprocessing methods.The most significant r(0.954) was found with the constant offset elimination data preprocessing method based on PLS.The standard error of calibration(SEC) was 0.321%,the best wave band was 11 998.9~5 449.8 cm-1 and 4 601....
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