School of Chemical Engineering and Advanced Materials, The University of Adelaide, Adelaide, SA, 5005, Australia.
Scarce Resources and Circular Economy (ScaRCE), UniSA STEM, University of South Australia, Mawson Lakes, SA, 5095, Australia.
Environ Sci Pollut Res Int. 2021 Mar;28(10):12576-12586. doi: 10.1007/s11356-020-11178-0. Epub 2020 Oct 20.
There is an increasing need to use online instrumentation for continuous monitoring of water quality. However, industrial applications using online instruments, such as submersible UV-Vis spectrophotometers, may require the use of alternative techniques to remove particle effect rather than performing a physical filtration step. Some submersible UV-Vis spectrophotometers have built-in generic particle compensation algorithms to remove the filtration step. This work studied the influence of suspended particles on the measurements of a submersible UV-Vis spectrophotometer as well as the performance of the built-in particle compensation technique under laboratory-controlled conditions. Simulated water samples were used in the combinations of standard particles from laboratory chemical and natural particles extracted from water systems with ultrapure water and treated water from a drinking water treatment plant. Particle contributions to the UV absorbance at 254 nm (UV) measurements of water samples varied differently when particle types or concentrations changed. The compensated UV, measured by the submersible instrument using the built-in generic particle compensation algorithms, was compared with laboratory UV, analysed by the bench-top instrument with the physical filtration method. The results indicated that the built-in generic compensation algorithms of the submersible UV-Vis spectrophotometer may generate undercompensated UV or overcompensated UV for various surface waters. These findings provide in-depth knowledge about the impact of suspended particles on the measurements of submersible UV-Vis spectrophotometers; source water dependence; and why site-specific calibration is often needed to get accurate measurements.
人们越来越需要使用在线仪器对水质进行连续监测。然而,使用在线仪器(如潜水式紫外-可见分光光度计)的工业应用可能需要使用替代技术来去除颗粒效应,而不是执行物理过滤步骤。一些潜水式紫外-可见分光光度计具有内置的通用颗粒补偿算法,可以去除过滤步骤。本工作研究了悬浮颗粒对潜水式紫外-可见分光光度计测量的影响,以及在实验室控制条件下内置颗粒补偿技术的性能。模拟水样与实验室化学标准颗粒以及从水系统中提取的天然颗粒(用超纯水和饮用水处理厂的处理水进行处理)相结合使用。当颗粒类型或浓度发生变化时,颗粒对水样在 254nm 处的紫外吸收(UV)测量的贡献也会有所不同。使用内置通用颗粒补偿算法的潜水式仪器测量的补偿 UV 与使用物理过滤方法的台式仪器分析的实验室 UV 进行了比较。结果表明,潜水式紫外-可见分光光度计内置的通用补偿算法可能会对各种地表水产生欠补偿或过补偿的 UV。这些发现深入了解了悬浮颗粒对潜水式紫外-可见分光光度计测量的影响、水源依赖性以及为什么通常需要进行现场特定校准以获得准确的测量。