荧光浓度分析仪测定蓝绿藻细胞数和藻蓝蛋白浓度

J. Choi, Yelim Park, Sujeong Lee, Kwangsoo Kim, Youngdo Kim, Jae-Hyouk Kwon
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引用次数: 0

摘要

目的:本研究的目的是为开发一种快速、易于测量的替代指标提供基础数据,用于估计现场蓝藻细胞的数量。方法:在位于纳克东河下游的Mulgeum和Maery藻类监测网附近的Maery大桥的左、中、右三个点测量藻蓝蛋白、藻细胞数和水质项目。藻蓝蛋白浓度(PC)是使用LISST-HAB传感器在现场测量的,该传感器是一种荧光浓度分析仪,并按藻类种类与藻类细胞的数量进行比较分析。结果与讨论:T-P与蓝绿藻(BGA)的相关系数(r)为0.58(≥0.3),蓝绿藻与藻蓝蛋白的相关系数为0.96(≥0.3。估算公式为BGA(细胞/mL)=326.95×PC+50484。对蓝绿藻的预测值和测量值进行分析的结果是,r2为0.988,表明确定系数高,准确率为92.5%。结论:与蓝藻数量的相关性分析显示,藻蓝蛋白为0.96(≥0.3),其次是蓝藻发生的限制因素T-P为0.58(≥0.3。此外,利用藻蓝蛋白估算蓝藻细胞数量的公式为BGA(细胞/mL)=326.95×PC+50484,其中r2为0.927,Prob(F-统计)小于0.05。分析预测值和测量值的结果​​在蓝藻细胞数中,r2为0.988,表明确定系数高,准确率为92.5%。通过这些结果,可以通过将藻蓝蛋白浓度代入蓝绿藻细胞数估计公式,使用目标点荧光浓度分析仪的传感器来估计蓝藻细胞数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Estimation of Blue-green algae Cell Count and Phycocyanin Concentration using Fluorescent Concentration analyzer
Objectives:The purpose of this study is to provide basic data for the development of a rapid and easy to measure alternative indicator for estimating the number of cyanobacteria cells in the field.Methods:Phycocyanin, algal cell number, and water quality items were measured at the left, middle, and right points of Maery Bridge near the Mulgeum and Maery algae monitoring network located downstream of the Nakdong River. The phycocyanin concentration(PC) was measured in the field using the LISST-HAB sensor, which is a fluorescence concentration analyzer, and comparative analysis was performed with the number of algal cells by algae species.Results and Discussion:As a limiting factor for blue-green algae occurrence, the correlation coefficient (r) between T-P and Blue-green algae (BGA) was 0.58 (≥0.3). Phycocyanin and Blue-green algae showed a high significant correlation at 0.96 (≥0.3). Prob (F-statistics) of the blue-green algae cell count estimation formula using phycocyanin was less than 0.05, showing a significant result. The estimation formula was estimated BGA(cells/mL) = 326.95×PC+50,484. As a result of the analysis of the predicted and measured values of Blue-green algae, r2 was 0.988, indicating a high coefficient of determination and 92.5% accuracy.Conclusion: The correlation analysis with the number of cyanobacteria showed a high significant correlation with phycocyanin of 0.96 (≥0.3), followed by T-P, a limiting factor for the occurrence of cyanobacteria, of 0.58 (≥0.3) indicating a significant correlation. In addition, the formula for estimating the number of blue-green algae cells using phycocyanin was found to be BGA (cells/mL)=326.95×PC+50,484 in which r2 was 0.927, and Prob (F-statistics) was less than 0.05. As a result of analyzing the predicted and measured values ​​of cyanobacteria cell numbers, r2 was 0.988, indicating a high coefficient of determination, with accuracy of 92.5%. Through this results, it reveals that the number of cyanobacteria cells can be estimated using the sensor of the fluorescence concentration analyzer at the target point by substituting the phycocyanin concentration into the blue-green algae cell number estimation formula.
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