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基于傅里叶变换红外光声光谱的包膜控释肥料聚合物膜疏水性的表征
引用本文:赵聪,申亚珍,周健民,杜昌文,王火焰,陈小琴.基于傅里叶变换红外光声光谱的包膜控释肥料聚合物膜疏水性的表征[J].分析化学,2010,38(8).
作者姓名:赵聪  申亚珍  周健民  杜昌文  王火焰  陈小琴
作者单位:中国科学院南京土壤研究所,土壤与农业可持续发展国家重点实验室,南京,210008
基金项目:国家"十一五"科技支撑计划项目,国家自然科学基金项目,江苏省"十一五"科技支撑计划项目 
摘    要:以不饱和有机硅改性的丙烯酸酯为基材,在不同条件下制备了30种水基聚合物包膜控释肥料模型膜,测定了模型膜的溶胀度及模型膜的傅里叶变换红外光声光谱.分别以红外光声光谱和溶胀度为自变量和因变量进行简单相关分析,同时也构建了偏最小二乘模型,并利用该模型对模型膜的疏水性进行预测.结果表明,聚合物模型膜具有明显不同的疏水性,其红外光声光谱具有相似的吸收特征,但不同吸收带的相对强度发生明显改变;常用的简单相关分析无法实现模型膜疏水性的预测,表明模型膜的疏水性与谱区更多的特征峰相关;基于偏最小二乘法的多元校正分析具有很好的预测能力,模型的校正系数(R2)为0.9864,校正标准误差为0.70%,验证标准误差为1.92%.此模型可用于模型膜疏水性的预测.本方法样品用量少,测定快速,操作简便且可实现原位测定,为控释肥料包膜材料的研制提供新的手段.

关 键 词:傅里叶变换红外光声光谱  控释肥料  模型膜  溶胀度  偏最小二乘法

Hydrophobicity Characterization of Polymer Coating for Controlled-release Fertilizer Using Fourier Transform Infrared Photoacoustic Spectroscopy
ZHAO Cong,SHEN Ya-Zhen,ZHOU Jian-Min,DU Chang-Wen,WANG Huo-Yan,CHEN Xiao-Qin.Hydrophobicity Characterization of Polymer Coating for Controlled-release Fertilizer Using Fourier Transform Infrared Photoacoustic Spectroscopy[J].Chinese Journal of Analytical Chemistry,2010,38(8).
Authors:ZHAO Cong  SHEN Ya-Zhen  ZHOU Jian-Min  DU Chang-Wen  WANG Huo-Yan  CHEN Xiao-Qin
Institution:ZHAO Cong,SHEN Ya-Zhen,ZHOU Jian-Min,DU Chang-Wen,WANG Huo-Yan,CHEN Xiao-Qin (The State Key Laboratory of Soil and Agricultural Sustainability,Institute of Soil Science Chinese Academy of Sciences,Nanjing 210008)
Abstract:Based on acrylate 30 polymer model membranes for waterborne coated fertilizer were prepared under different conditions. Fourier transform infrared photoacoustic spectra (FTIR-PAS) and hydrophobicity of model membranes were obtained. Simple linear correlation and partial least squares (PLS) regression were used to predict the hydrophobicity of model membranes. The results indicated that the hydrophobicity of model membranes varied; the FTIR-PAS spectra showed similar absorption characteristics,but the relati...
Keywords:Fourier transform infrared photoacoustic spectroscopy  Controlled-release fertilizer  Model membrane  Swelling capacity  Partial least squares  
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