光谱学与光谱分析, 2015, 35 (8): 2194, 网络出版: 2015-08-25
基于叶绿素荧光诱导动力学曲线的光合作用参数反演算法研究
Photosynthetic Parameters Inversion Algorithm Study Based on Chlorophyll Fluorescence Induction Kinetics Curve
叶绿素荧光 光合作用参数反演 自适应最小误差逼近 Chlorophyll fluorescence Photosynthesis parameters inversion Adaptive minimumerror approximation
摘要
快相叶绿素荧光诱导曲线中蕴含着丰富光合作用信息.该信息可以反映出植物的生存状态、病理以及受到胁迫时的生理变化趋势等多种信息.通过采集藻类荧光及诱导光信号,拟合快相叶绿素荧光动力学曲线.基于最小二乘拟合方法,提出自适应最小误差逼近的方法对快相叶绿素荧光动力学曲线进行多元非线性回归拟合,实现Fo(固定荧光)、Fm(最大荧光产率)、σPSII(PSII的功能吸收截面)等细节参数的反演.实现了蛋白核小球藻光合作用参数反演,并实验了在Cu2+胁迫环境下,蛋白核小球藻的生理变化趋势.
Abstract
The fast chlorophyll fluorescence induction curve contains rich information of photosynthesis.It can reflect various information of vegetation,such as,the survival status,the pathological condition and the physiology trends under the stress state.Through the acquisition of algae fluorescence and induced optical signal,the fast phase of chlorophyll fluorescence kinetics curve was fitted.Based on least square fitting method,we introduced adaptive minimum error approaching method for fast multivariate nonlinear regression fitting toward chlorophyll fluorescence kinetics curve.We realized Fo (fixedfluorescent),Fm (maximum fluorescence yield),σPSII (PSII functional absorption cross section) details parameters inversion and the photosynthetic parameters inversion of Chlorella pyrenoidosa.And we also studied physiological variation of Chlorella pyrenoidosa under the stress of Cu2+.
邱晓晗, 张玉钧, 殷高方, 石朝毅, 余晓娅, 赵南京, 刘文清. 基于叶绿素荧光诱导动力学曲线的光合作用参数反演算法研究[J]. 光谱学与光谱分析, 2015, 35(8): 2194. QIU Xiao-han, ZHANG Yu-jun, YIN Gao-fang, SHI Chao-yi, YU Xiao-ya, ZHAO Nan-jing, LIU Wen-qing. Photosynthetic Parameters Inversion Algorithm Study Based on Chlorophyll Fluorescence Induction Kinetics Curve[J]. Spectroscopy and Spectral Analysis, 2015, 35(8): 2194.
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