用lc-ocd和phmoc定量测定高分子量有机碳浓度用于地表水饮用水的生物稳定性研究

IF 12.4 1区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Water Research Pub Date : 2024-12-13 DOI:10.1016/j.watres.2024.122971

R. Schurer , A. Brouwer-Hanzens , P.W.J.J. van der Wielen , J.H.M. van Lieverloo , W.A.M. Hijnen

{"title":"用lc-ocd和phmoc定量测定高分子量有机碳浓度用于地表水饮用水的生物稳定性研究","authors":"R. Schurer , A. Brouwer-Hanzens , P.W.J.J. van der Wielen , J.H.M. van Lieverloo , W.A.M. Hijnen","doi":"10.1016/j.watres.2024.122971","DOIUrl":null,"url":null,"abstract":"<div><div>The presence of aquatic biopolymeric organic carbon of high (> 10 - 20 kDa) molecular weight (high-MW OC) in drinking water produced from surface water affects its biological stability which may cause regrowth in disinfectant-free distribution. This study compares two analytical methods for determining the concentration of aquatic high-MW OC, namely LC-OCD (liquid chromatography – organic carbon detection) and PHMOC (particulate and colloidal high-molecular weight OC). LC-OCD entails prefiltration of the water sample, chromatographical separation of the relevant biopolymer (BP) OC-fraction, and in-line OC detection. PHMOC is based on the total OC content of the concentrate obtained after 30 kDa crossflow ultrafiltration of the water sample. LC-OCD BP and PHMOC showed a good linear correlation (R<sup>2</sup> 0.87) for a suite of treated surface water matrices (except raw water) in the 10 – 200 µg/L concentration range, with PHMOC values being 10% – 30% higher than the corresponding LC-OCD BP value, without a clear impact of other water matrix constituents. The indicative yields and selectivities of both methods for indigenous high-MW OC obtained from the PHMOC concentrate were high (≥ 70% – 88%) but not fully complete, which may explain the observed higher PHMOC values and scatter in the PHMOC – LC-OCD BP correlation. LC-OCD BP and PHMOC displayed similar values and trends across the different seasons and treatment stages, with treated ground water and infiltrated water having the lowest (< 10 µg/L) values. Regrowth (as <em>Aeromonas</em>) levels in disinfectant-free distribution networks corresponded with the high-MW OC concentration in the treated drinking water. Overall, the two methods equivalently quantify the concentration of aquatic high-MW OC. Both methods are suitable for use in biological stability studies. The small sample volume renders LC-OCD more practical, whereas the PHMOC method enables further experimentation and characterization of the high-MW OC fraction.</div></div>","PeriodicalId":443,"journal":{"name":"Water Research","volume":"271 ","pages":"Article 122971"},"PeriodicalIF":12.4000,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Quantification of high molecular weight organic carbon concentrations with LC-OCD and PHMOC for biological stability investigation of drinking water produced from surface water\",\"authors\":\"R. Schurer , A. Brouwer-Hanzens , P.W.J.J. van der Wielen , J.H.M. van Lieverloo , W.A.M. Hijnen\",\"doi\":\"10.1016/j.watres.2024.122971\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The presence of aquatic biopolymeric organic carbon of high (> 10 - 20 kDa) molecular weight (high-MW OC) in drinking water produced from surface water affects its biological stability which may cause regrowth in disinfectant-free distribution. This study compares two analytical methods for determining the concentration of aquatic high-MW OC, namely LC-OCD (liquid chromatography – organic carbon detection) and PHMOC (particulate and colloidal high-molecular weight OC). LC-OCD entails prefiltration of the water sample, chromatographical separation of the relevant biopolymer (BP) OC-fraction, and in-line OC detection. PHMOC is based on the total OC content of the concentrate obtained after 30 kDa crossflow ultrafiltration of the water sample. LC-OCD BP and PHMOC showed a good linear correlation (R<sup>2</sup> 0.87) for a suite of treated surface water matrices (except raw water) in the 10 – 200 µg/L concentration range, with PHMOC values being 10% – 30% higher than the corresponding LC-OCD BP value, without a clear impact of other water matrix constituents. The indicative yields and selectivities of both methods for indigenous high-MW OC obtained from the PHMOC concentrate were high (≥ 70% – 88%) but not fully complete, which may explain the observed higher PHMOC values and scatter in the PHMOC – LC-OCD BP correlation. LC-OCD BP and PHMOC displayed similar values and trends across the different seasons and treatment stages, with treated ground water and infiltrated water having the lowest (< 10 µg/L) values. Regrowth (as <em>Aeromonas</em>) levels in disinfectant-free distribution networks corresponded with the high-MW OC concentration in the treated drinking water. Overall, the two methods equivalently quantify the concentration of aquatic high-MW OC. Both methods are suitable for use in biological stability studies. The small sample volume renders LC-OCD more practical, whereas the PHMOC method enables further experimentation and characterization of the high-MW OC fraction.</div></div>\",\"PeriodicalId\":443,\"journal\":{\"name\":\"Water Research\",\"volume\":\"271 \",\"pages\":\"Article 122971\"},\"PeriodicalIF\":12.4000,\"publicationDate\":\"2024-12-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Water Research\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0043135424018712\",\"RegionNum\":1,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ENVIRONMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Water Research","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0043135424018712","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}

引用次数: 0

摘要

存在高(>；地表水生产的饮用水中的10 - 20 kDa)分子量（高mw OC）影响其生物稳定性，可能导致无消毒剂分布的再生。本研究比较了hplc - ocd（液相色谱-有机碳检测）和PHMOC（颗粒和胶体高分子量OC）两种测定水生高分子量OC浓度的分析方法。LC-OCD需要对水样进行预过滤，对相关生物聚合物（BP） OC组分进行色谱分离，并进行在线OC检测。PHMOC是根据水样经过30 kDa横流超滤后所得浓缩物的总OC含量计算的。在10 ~ 200µg/L浓度范围内，处理后的一系列地表水基质（原水除外）的LC-OCD BP与PHMOC呈良好的线性相关（R2 0.87）， PHMOC值比相应的LC-OCD BP值高10% ~ 30%，其他水基质成分对其无明显影响。两种方法对从PHMOC精矿中获得的本地高mw OC的指示率和选择性都很高（≥70 - 88%），但并不完全完全，这可能解释了PHMOC - LC-OCD BP相关性中观察到的较高PHMOC值和分散。LC-OCD BP和PHMOC在不同季节和处理阶段表现出相似的值和趋势，处理后的地下水和入渗水最低(<；10µg/L)值。无消毒剂分配网络中的再生（气单胞菌）水平与处理过的饮用水中的高mw OC浓度相对应。总体而言，这两种方法等效地量化了水生高mw OC的浓度。两种方法都适用于生物稳定性研究。小样品体积使得LC-OCD更加实用，而PHMOC方法可以进一步实验和表征高mw OC馏分。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Quantification of high molecular weight organic carbon concentrations with LC-OCD and PHMOC for biological stability investigation of drinking water produced from surface water

查看原文本刊更多论文

Quantification of high molecular weight organic carbon concentrations with LC-OCD and PHMOC for biological stability investigation of drinking water produced from surface water

The presence of aquatic biopolymeric organic carbon of high (> 10 - 20 kDa) molecular weight (high-MW OC) in drinking water produced from surface water affects its biological stability which may cause regrowth in disinfectant-free distribution. This study compares two analytical methods for determining the concentration of aquatic high-MW OC, namely LC-OCD (liquid chromatography – organic carbon detection) and PHMOC (particulate and colloidal high-molecular weight OC). LC-OCD entails prefiltration of the water sample, chromatographical separation of the relevant biopolymer (BP) OC-fraction, and in-line OC detection. PHMOC is based on the total OC content of the concentrate obtained after 30 kDa crossflow ultrafiltration of the water sample. LC-OCD BP and PHMOC showed a good linear correlation (R² 0.87) for a suite of treated surface water matrices (except raw water) in the 10 – 200 µg/L concentration range, with PHMOC values being 10% – 30% higher than the corresponding LC-OCD BP value, without a clear impact of other water matrix constituents. The indicative yields and selectivities of both methods for indigenous high-MW OC obtained from the PHMOC concentrate were high (≥ 70% – 88%) but not fully complete, which may explain the observed higher PHMOC values and scatter in the PHMOC – LC-OCD BP correlation. LC-OCD BP and PHMOC displayed similar values and trends across the different seasons and treatment stages, with treated ground water and infiltrated water having the lowest (< 10 µg/L) values. Regrowth (as Aeromonas) levels in disinfectant-free distribution networks corresponded with the high-MW OC concentration in the treated drinking water. Overall, the two methods equivalently quantify the concentration of aquatic high-MW OC. Both methods are suitable for use in biological stability studies. The small sample volume renders LC-OCD more practical, whereas the PHMOC method enables further experimentation and characterization of the high-MW OC fraction.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Water Research 环境科学-工程：环境

CiteScore

20.80

自引率

9.40%

发文量

1307

审稿时长

38 days

期刊介绍： Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.