Implications of dissolved organic carbon, turbidity and salinity on detection and monitoring of cyanobacteria using UV–VIS derivative spectrophotometry

Amitesh Malhotra, Banu Örmeci
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Abstract

Cyanobacterial blooms are now a long-standing and recurring environmental issue around the globe due to their potential toxicity and accompanying negative impacts, such as the formation of taste and odor compounds, water discoloration, scum formation, to name a few. Early detection and routine monitoring of source water is, therefore, an increasing need, and methods to promptly identify cyanobacterial presence are critical. In this study, M. aeruginosa was used to test the impact of three water quality parameters (WQP), including salinity, DOC (dissolved organic carbon), and turbidity, on the detection and monitoring of cyanobacteria using UV-Vis derivative spectrophotometry. The study established the method detection limits under a wide range of WQP. Further, the effect of two cuvette pathlengths (50-, and 100-mm) and two exposure times (90 and 180 mins) at two peaks, corresponding to photopigments chlorophyll-a (Chl-a) and phycocyanin (PC), were investigated while applying and Savitzky-Golay (S-G) first derivative of absorbance technique to improve sensitivity. Results indicate that the relationship between the two photopigments and absorbance was generally strong (R2 > 0.9), except for higher turbidity tests (R2 > 0.8), and 100 mm pathlength was found to be the most sensitive in terms of detection. Additionally, there was no significant change in absorbance, detection limit, or slope observed between the two exposure times. The lowest detection limits using the established method were found to be 11,083 cells/mL and 12,632 cells/mL for 1 mg/L DOC for Chl-a and PC, respectively. Sensitivity analyses revealed slight variations in slopes of regression with increasing WQP concentration, which was expected with increasing interfering contaminants. Overall, the results demonstrate that despite varying WQPs, with the aid of derivate spectrophotometry and longer cuvette pathlength (100 mm), the method can be successfully used for potential detection and monitoring of cyanobacteria in different source waters.
蓝藻藻华由于其潜在的毒性和随之而来的负面影响(如形成味道和气味化合物、水变色、形成浮渣等),现已成为全球长期存在且反复出现的环境问题。因此,对原水进行早期检测和常规监测的需求与日俱增,而及时识别蓝藻存在的方法至关重要。本研究利用铜绿微囊藻测试了三个水质参数(WQP)(包括盐度、DOC(溶解有机碳)和浊度)对使用紫外可见衍射分光光度法检测和监测蓝藻的影响。该研究确定了在多种 WQP 条件下的方法检测限。此外,还研究了两种比色皿路径长度(50 毫米和 100 毫米)和两种曝光时间(90 分钟和 180 分钟)对两个峰值(分别对应于光敏色素叶绿素-a(Chl-a)和藻蓝蛋白(PC))的影响,同时应用萨维茨基-戈莱(S-G)吸光度一阶导数技术来提高灵敏度。结果表明,这两种光色素与吸光度之间的关系普遍较强(R2 > 0.9),但浊度较高的测试除外(R2 > 0.8),100 毫米路径长度的检测灵敏度最高。此外,在两次暴露时间之间,吸光度、检测限或斜率均无明显变化。使用既定方法检测 Chl-a 和 PC 时,发现 1 mg/L DOC 的最低检测限分别为 11,083 个细胞/毫升和 12,632 个细胞/毫升。灵敏度分析表明,随着 WQP 浓度的增加,回归斜率略有不同,这也是干扰污染物增加时的预期结果。总之,研究结果表明,尽管 WQPs 不同,但借助衍生分光光度法和较长的比色皿路径长度(100 毫米),该方法可成功用于不同源水蓝藻的潜在检测和监测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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