Inversion Method of Plant Photosynthesis Parameter Based on Fast Phase and Relaxation Fluorescence Kinetics

Zhisong, 覃志松 Qin; Nanjing, 赵南京 Zhao; Gaofang, 殷高方 Yin; Chaoyi, 石朝毅 Shi; Tingting, 甘婷婷 Gan; Xue, 肖雪 Xiao; Jingbo, 段静波 Duan; Xiaoling, 张小玲 Zhang; Shuang, 陈双 Chen; Jianguo, 刘建国 Liu; Wenqing, 刘文清 Liu

doi:10.3788/aos201737.0730002

Cited by 5 publications

(1 citation statement)

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“…The experiments in this paper used Chlorella Pyrenoidosa , a common algae species in freshwater, as the test organism and the pesticide Dichlorophenyl Dimethylurea (DCMU) and Atrazine as the stressors. The multi-phase chlorophyll fluorescence kinetic curves were measured by a variable light pulse-induced chlorophyll fluorescence analyzer (AGHJ-TPLIF-I, developed by Anhui Institute of Optics and Mechanics, Chinese Academy of Sciences) [ 10 ], as depicted in Figure 1 . The selection and culturing methods were the same as in reference [ 11 ].…”

Section: Experiments Measurement and Parameters Selectionmentioning

confidence: 99%

Quantitative Representation of Water Quality Biotoxicity by Algal Photosynthetic Inhibition

Liang

Yin

et al. 2023

Toxics

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The method based on the photosynthetic inhibition effect of algae offers the advantages of swift response and straightforward measurement. Nonetheless, this effect is influenced by both the environment and the state of the algae themselves. Additionally, a single parameter is vulnerable to uncertainties, rendering the measurement accuracy and stability inadequate. This paper employed currently utilized photosynthetic fluorescence parameters, including Fv/Fm(maximum photochemical quantum yield), Performance Indicator (PIabs), Comprehensive Parameter Index (CPI) and Performance Index of Comprehensive Toxicity Effect (PIcte), as quantitative toxicity characteristic parameters. The paper compared the univariate curve fitting results with the multivariate data-driven model results and investigated the effectiveness of Back Propagation(BP) Neural Network and Support Vector Machine for Regression (SVR) models to enhance the accuracy and stability of toxicity detection. Using Dichlorophenyl Dimethylurea (DCMU) samples as an example, the mean Relative Root Mean Square Error (RRMSE) corresponding to the optimal parameter PIcte for the dose-effect curve fitting was 1.246 in the concentration range of 1.25–200 µg/L. On the other hand, the mean RRMSEs corresponding to the results of the BP neural network and SVR models were 0.506 and 0.474, respectively. Notably, BP neural network exhibited excellent prediction accuracy in the medium-high concentration range of 7.5–200 µg/L, with a mean RRSME of only 0.056. Regarding the stability of the results, the mean Relative Standard Deviation (RSD) of the univariate dose-effect curve results was 15.1% within the concentration range of 50–200 µg/L. In contrast, the mean RSDs for both BP neural network and SVR results were less than 5%. In the concentration range of 1.25–200 µg/L, the mean RSDs were 6.1% and 16.5%, with the BP neural network performing well. The experimental results of Atrazine were analyzed to further validate the effectiveness of the BP neural network in improving the accuracy and stability of results. These findings provided valuable insights for the development of biotoxicity detection by using the algae photosynthetic inhibition method.

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Section: Experiments Measurement and Parameters Selectionmentioning

confidence: 99%

Quantitative Representation of Water Quality Biotoxicity by Algal Photosynthetic Inhibition

Liang

Yin

et al. 2023

Toxics

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Phytoplankton photosynthetic rate measurement using tunable pulsed light induced fluorescence kinetics

et al. 2018

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The photosynthetic process of phytoplankton is the basis of the material circulation and energy flow of the ecosystem. The rapid and accurate measurement of phytoplankton photosynthesis rate is of great significance to water ecological environment monitoring, marine resource assessment and global climate change prediction. On the basis of "Bio-Optical" model, a photosynthetic rate measurement method based on tunable pulsed light induced fluorescence kinetics was put forward in this paper. The chlorophyll fluorescence was used as the probe of photosynthesis process, and the phytoplankton photosynthetic rate was evaluated by the photosynthetic electron transport rate. Comparative experiment results showed that the photosynthetic electron transport rate measured by fluorescence kinetic method under different conditions of DCMU, culture light and nutrients (nitrogen) were consistent with the photosynthetic oxygen evolution rate measured by oxygen evolution method, and the correlation coefficient R were 0.934, 0.957 and 0.955 respectively.

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荧光动力学法浮游植物初级生产力测量中初始荧光准确获取

Dong Ming,

Yin Gaofang,

Zhao Nanjing

et al. 2024

光学学报

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Inversion Method of Plant Photosynthesis Parameter Based on Fast Phase and Relaxation Fluorescence Kinetics

Cited by 5 publications

References 0 publications

Quantitative Representation of Water Quality Biotoxicity by Algal Photosynthetic Inhibition

Quantitative Representation of Water Quality Biotoxicity by Algal Photosynthetic Inhibition

Phytoplankton photosynthetic rate measurement using tunable pulsed light induced fluorescence kinetics

荧光动力学法浮游植物初级生产力测量中初始荧光准确获取

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