文章摘要
姚亮,申慧彦,李卫华,杨引浩,王佳琴,伍鲧,田士玉.强化生物除磷污泥糖原的近红外光谱分析[J].安徽建筑大学学报,2017,25(1):44-47
强化生物除磷污泥糖原的近红外光谱分析
Near infrared spectroscopy analysis of glycogen in the activated sludge during the enhanced biological phosphorus removal process
  
DOI:10.11921/j.issn.2095-8382.20170110
中文关键词: iPLS  糖原  近红外光谱  蒽酮法  EBPR
英文关键词: iPLS  glycogen  near infrared spectra  anthrone method  EBPR
基金项目:国家自然科学基金(No.51378017,21007001)
作者单位
姚亮 安徽建筑大学 环境与能源工程学院合肥230022 
申慧彦 安徽建筑大学 环境与能源工程学院合肥230022 
李卫华 安徽建筑大学 环境与能源工程学院合肥230022 
杨引浩 安徽建筑大学 环境与能源工程学院合肥230022 
王佳琴 安徽建筑大学 环境与能源工程学院合肥230022 
伍鲧 安徽建筑大学 环境与能源工程学院合肥230022 
田士玉 安徽建筑大学 环境与能源工程学院合肥230022 
摘要点击次数: 1790
全文下载次数: 0
中文摘要:
      采用蒽酮法测定强化生物除磷(EBPR)反应器污泥中糖原物质的含量,运用间隔偏最小二乘法(iPLS)对近红外光谱进行建模,将光谱划分为20个子区间,选出最佳波数区间为4775-4389 cm-1,并用这个模型预测未知样品中糖原含量。结果表明:所建模型对糖原校正时的相关系数(rc)为0.9583,校正均方根误差(RMSECV)为0.3554;预测时的相关系数(rp)=0.9769,预测均方根误差(RMSEP)为0.4243。所建的模型对糖原含量的预测效果较好,模型预测精度高,为污泥中糖原的测定提供了一种快速可行的分析技术。
英文摘要:
      Glycogen of the sludge from the Enhanced Biological Phosphorus Removal reactor (EBPR) was determined by anthrone method. Applying iPLS to model the near infrared spectra, the spectral range was divided into 20 intervals, and wave number range from 4775 to 4389 cm-1 was selected as the best wavelength range, which was used to predict unknown samples’ glycogen content. Results showed that the correlation coefficient(rc)of this model was 0.9583, and root mean square error of cross validation (RMSECV) was 0.3554; the prediction correlation coefficient(rp) was 0.9769, and the root mean square error of prediction(RMSEP) was 0.4243. This model was better for forecasting the content of glycogen, and the accuracy of the model was high, thus providing a feasible analysis technique for the rapid determination of intracellular glycogen in sludge.
查看全文   查看/发表评论  下载PDF阅读器
关闭

分享按钮