Optimising Multispectral Active Fluorescence to Distinguish the Photosynthetic Variability of Cyanobacteria and Algae.
Optimising Multispectral Active Fluorescence to Distinguish the Photosynthetic Variability of Cyanobacteria and Algae.
复制标题
DOI：
10.3390/s23010461
复制
发表时间：
2023-01-01
期刊：
影响因子：
--
通讯作者：
中科院分区：
文献类型：
--
作者：
本研究评估了一种新的活性荧光计的能力，LabSTAF，诊断评估淡水蓝藻的生理在一个水库展出年度水华。具体而言，我们分析了相对蓝藻丰度与光合参数的相关性，这些参数来自荧光光曲线（FLCs），使用几种组合的激发波段，光系统II（PSII）激发光谱和发射比730超过685 nm（Fo（730/685）），使用不同程度的敏感性，蓝藻和藻类的激发协议。利用蓝色激发（B）和绿橙红（戈尔）激发波段的FLC分别捕获藻类和蓝藻的生理参数。绿橙（GO）协议，预计有最好的诊断性能的蓝藻，并不能保证PSII饱和。PSII激发光谱显示不同的响应，从蓝藻和藻类，取决于光谱优化的光剂量。使用戈尔激发波段的组合获得的Fo（730/685），Fo（戈尔，730/685），显示出与蓝藻的相对丰度的显著相关性（线性回归，p值< 0.01，调整的R2 = 0.42）。我们建议同时使用Fo（戈尔，730/685）、PSII激发光谱（针对蓝藻与藻类进行了适当优化）以及从使用戈尔和B方案获得的FLC中获得的生理参数，以评估蓝藻的生理学并最终预测其生长。更高强度的LED（G和O）应考虑达到PSII饱和，以进一步提高诊断灵敏度的蓝藻组成部分的社会。
This study assesses the ability of a new active fluorometer, the LabSTAF, to diagnostically assess the physiology of freshwater cyanobacteria in a reservoir exhibiting annual blooms. Specifically, we analyse the correlation of relative cyanobacteria abundance with photosynthetic parameters derived from fluorescence light curves (FLCs) obtained using several combinations of excitation wavebands, photosystem II (PSII) excitation spectra and the emission ratio of 730 over 685 nm (Fo(730/685)) using excitation protocols with varying degrees of sensitivity to cyanobacteria and algae. FLCs using blue excitation (B) and green–orange–red (GOR) excitation wavebands capture physiology parameters of algae and cyanobacteria, respectively. The green–orange (GO) protocol, expected to have the best diagnostic properties for cyanobacteria, did not guarantee PSII saturation. PSII excitation spectra showed distinct response from cyanobacteria and algae, depending on spectral optimisation of the light dose. Fo(730/685), obtained using a combination of GOR excitation wavebands, Fo(GOR, 730/685), showed a significant correlation with the relative abundance of cyanobacteria (linear regression, p-value < 0.01, adjusted R2 = 0.42). We recommend using, in parallel, Fo(GOR, 730/685), PSII excitation spectra (appropriately optimised for cyanobacteria versus algae), and physiological parameters derived from the FLCs obtained with GOR and B protocols to assess the physiology of cyanobacteria and to ultimately predict their growth. Higher intensity LEDs (G and O) should be considered to reach PSII saturation to further increase diagnostic sensitivity to the cyanobacteria component of the community.
登录
查看更多内容
DOI：
10.1002/cyto.10104
发表时间：
2002-05-01
期刊：
CYTOMETRY
影响因子：
--
作者：
Becker, A;Meister, A;Wilhelm, C
通讯作者：
Wilhelm, C
影响因子：
2.6
作者：
de Figueiredo, Daniela R.;Reboleira, Ana S. S. P.;Pereira, Mario J.
通讯作者：
Pereira, Mario J.
影响因子：
3.7
作者：
Beutler, M;Wiltshire, KH;Dau, H
通讯作者：
Dau, H
影响因子：
2.8
作者：
BRYANT, DA;GUGLIELMI, G;COHENBAZIRE, G
通讯作者：
COHENBAZIRE, G
影响因子：
4.4
作者：
Baker, JA;Entsch, B;McKay, DB
通讯作者：
McKay, DB