Department of Chemical and Biological Engineering, University of British Columbia, 2360 East Mall, Vancouver, BC, Canada V6T 1Z3.
Water Res. 2012 Oct 15;46(16):5297-304. doi: 10.1016/j.watres.2012.07.017. Epub 2012 Jul 24.
The presence of natural organic matter (NOM) poses several challenges to the commercial practice of UV/H(2)O(2) process for micropollutant removal. During the commercial application of UV/H(2)O(2) advanced oxidation treatment, NOM is broken down into smaller species potentially affecting biostability by increasing Assimilable Organic Carbon (AOC) and Biodegradable Organic Carbon (BDOC) of water. This work investigated the potential impact of UV/H(2)O(2) treatment on the molecular weight distribution of NOM and biostability of different water sources. A recently developed flow cytometric method for enumeration of bacteria was utilized to assess biological stability of the treated water at various stages through measurement of AOC. BDOC was also assessed for comparison and to better study the biostability of water. Both AOC and BDOC increased by about 3-4 times over the course of treatment, indicating the reduction of biological stability. Initial TOC and the source of NOM were found to be influencing the biostability profile of the treated water. Using high performance size exclusion chromatography, a wide range of organic molecule weights were found responsible for AOC increase; however, low molecular weight organics seemed to contribute more. Positive and meaningful correlations were observed between BDOC and AOC of different waters that underwent different treatments.
天然有机物 (NOM) 的存在给商业化的 UV/H(2)O(2) 工艺去除微量污染物带来了一些挑战。在商业化的 UV/H(2)O(2) 高级氧化处理应用中,NOM 会被分解成更小的物种,通过增加水中的可生物同化有机碳 (AOC) 和可生物降解有机碳 (BDOC),从而潜在地影响生物稳定性。本研究考察了 UV/H(2)O(2) 处理对不同水源中 NOM 分子量分布和生物稳定性的潜在影响。本研究采用最近开发的用于细菌计数的流式细胞术方法,通过测量 AOC 来评估处理水中各个阶段的生物稳定性。也评估了 BDOC 以进行比较,并更好地研究水的生物稳定性。在处理过程中,AOC 和 BDOC 增加了约 3-4 倍,表明生物稳定性降低。初始 TOC 和 NOM 的来源被发现影响处理水的生物稳定性特征。使用高效尺寸排阻色谱法,发现广泛的有机分子量负责 AOC 的增加;然而,似乎是低分子量有机物贡献更多。经过不同处理的不同水的 BDOC 和 AOC 之间观察到了正相关和有意义的相关性。