光谱学与光谱分析, 2017, 37 (11): 3375, 网络出版: 2018-01-04  

浸入式可见/近红外光谱的雨生红球藻叶绿素含量研究

Chlorophyll Content Research of Haematococcus Pluvialis Based on Immersed Visible/Near-Infrared Spectroscopy
作者单位
浙江大学生物系统工程与食品科学学院, 浙江 杭州 310058
摘要
探讨了采用浸入式可见/近红外光谱技术对雨生红球藻叶绿素含量快速检测的可行性。 通过选择最优的预处理方法, 比较全波段偏最小二乘回归(PLS)建模和连续投影算法(SPA)提取特征波长后PLS建模的结果, 选出最优模型。 SPA-PLS模型对叶绿素a与叶绿素b含量预测效果均优于全波段PLS模型, 叶绿素a, b的RPD值分别达到2.946 1和1.902 3。 表明, 光谱在预处理后结合建模算法能够实现叶绿素a, b含量较好的预测, 叶绿素a的预测效果要好于叶绿素b。
Abstract
This article discusses the feasibility of immersed visible / near-infrared spectroscopy for rapidly detecting the content of haematococcus pluvialis chlorophyll. Combined with chemometrics methods, we chose the best pretreatment to predict the content of haematococcus pluvialis chlorophyll a and chlorophyll b. We compared the results of PLS modeling of full-wave band and the successive projections algorithm combined with PLS (SPA-PLS) modeling, and chose the better one for prediction. For chlorophyll a and b, SPA-PLS modeling was better than PLS modeling of full-wave band. The RPD value of chlorophyll a by SPA-PLS modeling reached 2.946 1 and that of chlorophyll b by SPA-PLS modeling was 1.902 3. Research showes that this method can predict the chlorophyll a, chlorophyll b content well through some pretreatments algorithms and modeling algorithms which can provide a new approach for detecting the content of chlorophyll a and chlorophyll b.

周宏, 方蕙, 潘健, 蒋林军, 何勇, 邵咏妮. 浸入式可见/近红外光谱的雨生红球藻叶绿素含量研究[J]. 光谱学与光谱分析, 2017, 37(11): 3375. ZHOU Hong, FANG Hui, PAN Jian, JIANG Lin-jun, HE Yong, SHAO Yong-ni. Chlorophyll Content Research of Haematococcus Pluvialis Based on Immersed Visible/Near-Infrared Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2017, 37(11): 3375.

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