基于siPLS的强化生物除磷污泥胞内糖原近红外分析
发布时间：2019-08-02 15:52
【摘要】：为了快速、准确地测定强化生物除磷(EBPR)过程中污泥胞内糖原的含量,采用4种预处理方法分别对污泥近红外光谱进行预处理,并结合联合区间偏最小二乘(si PLS)进行变量优选,建立光谱吸光度数据与糖原含量的定量分析模型。结果表明,将一阶S-G(Savitzky-Golay)平滑处理后的光谱等分为20个子区间,联合子区间[10 13 16 19]建立的si PLS模型预测效果最优,预测集的均方根误差(RMSEP)和相关系数(rp)分别达到0.0048、0.9105,且该模型的交互验证和外部验证相对分析误差(RPD)均大于3.0。一阶平滑处理后的光谱si PLS模型预测精度高、建模变量少,可实现糖原含量的快速测定。
[Abstract]:In order to quickly and accurately determine the content of intracellular glycogen in sludge during enhanced biological phosphorus removal (EBPR), four pretreatment methods were used to pretreat sludge near infrared spectrum, and combined with combined interval partial least square (si PLS) for variable optimization, a quantitative analysis model of spectral absorbance data and glycogen content was established. The results show that the spectrum of the first order S 鈮，
本文编号：2522211
[Abstract]:In order to quickly and accurately determine the content of intracellular glycogen in sludge during enhanced biological phosphorus removal (EBPR), four pretreatment methods were used to pretreat sludge near infrared spectrum, and combined with combined interval partial least square (si PLS) for variable optimization, a quantitative analysis model of spectral absorbance data and glycogen content was established. The results show that the spectrum of the first order S 鈮，
本文编号：2522211
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