摘要
建立饮用水中总有机碳的选择性薄膜电导率检测法。水样中有机物被氧化生成的CO2,从样品水一侧穿过对CO2有选择性的渗透膜,进入到仅含去离子水的另一侧。电离反应生成碳酸氢根离子与氢离子,使水的电导率升高,根据此时的电导率升高变化来表征CO2的浓度。结果显示总有机碳在0.20~10.0 mg/L线性范围内回归方程为y=0.963x+0.0460,线性相关系数R>0.999,方法检出限为0.20 mg/L,其中纯水的加标回收率为90.0%~110%,相对标准偏差(RSD)为0.83%~2.50%;出厂水的加标回收率为99.8%~108%,相对标准偏差为0.23%~0.87%;水源水的加标回收率为91.5%~107%,相对标准偏差为0.15%~0.88%。方法灵敏度高、准确度好、检出限低、而且稳定性好,适合生活饮用水及其水源水、涉水产品浸泡水中总有机碳的测定,并在多领域进行了推广应用,有望成为行业标准。
Establish a membrane conductivity detection method of TOC in drinking water.The CO2 formed by the oxidation of organic matter in the water sample passes through the permeable membrane selective to CO2 from the water side of the sample to the other side containing only deionized water.The ionization reaction generates hydrogen carbonate ions and hydrogen ions to increase the conductivity of the water,and characterizes the concentration of CO2 according to the change in conductivity at this time.The total organic carbon in the linear range of 0.20~10.0 mg/L has a regression equation of y=0.963x+0.0460 with the linear correlation coefficient R>0.999,the lowest detection mass concentration of the method was 0.20 mg/L,and the spiked recovery rate of pure water was 90.0%~110%,relative standard deviation(RSD)was 0.83%~2.50%,spiked recovery of peripheral water was 99.8%~108%,relative standard deviation(RSD)was 0.23%~0.87%.The standard recovery was 91.5%~107%,and the relative standard deviation(RSD)was 0.15%~0.88%.The method has high sensitivity,good accuracy,low detection limit and good stability.It is suitable for the determination of total organic carbon in drinking water and water source and wading products.It has been promoted and applied in many fields and is expected to become an industry standard.
作者
周小新
孟元华
周虹
刘文卫
ZHOU Xiao-xin;MENG Yuan-hua;ZHOU Hong;LIU Wen-wei(Wuxi Center of Disease Control and Prevention,Wuxi 214023,China)
出处
《化学试剂》
CAS
北大核心
2020年第7期818-821,共4页
Chemical Reagents
基金
无锡市“科教强卫工程”项目(CXPT(SYS)002)
江南大学公共卫生研究中心项目(JUPH201818)。
关键词
水
总有机碳
选择性薄膜电导率检测法
测定
方法学
water
total organic carbon
membrane conductivity detection
determination
methodology