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纺织品重金属含量检测方法研究OA

Study on detection methods of heavy metal content in textiles

中文摘要英文摘要

为解决纺织品中重金属残留检测精度不足、操作效率差异大、不同方法适用性不明确等问题,本文以棉、麻、涤纶、锦纶4类常见纺织品为研究对象,选取铅(Pb)、镉(Cd)、铬(Cr)、砷(As)、汞(Hg)5种典型有毒重金属,分别采用原子吸收分光光度法(AAS)、电感耦合等离子体发射光谱法(ICP-OES)、电感耦合等离子体质谱法(ICP-MS)3种主流检测方法开展实证检测.优化样品前处理条件,对比3种方法的检测限、精密度、回收率及操作成本.结果表明,ICP-MS法检测限最低(0.001~0.005 mg/kg),回收率为95.3%~103.7%,相对标准偏差(SRSD)≤2.1%,适用于低含量重金属精准检测;AAS法操作简便、成本较低,回收率为89.5%~97.2%,SRSD≤3.8%,适用于常规批量样品检测;ICP-OES法多元素同时检测效率高,回收率为92.1%~101.5%,SRSD≤2.8%.

In order to solve the problems of insufficient detection accuracy,large differences in operation efficiency,and unclear applicability of different methods for heavy metal residues in textiles,four common types of textiles including cotton,linen,polyester and polyamide were taken as research objects,and five typical toxic heavy metals such as lead(Pb),cadmium(Cd),chromium(Cr),arsenic(As)and mercury(Hg)were selected.Empirical tests were carried out by three mainstream detection methods:atomic absorption spectrophotometry(AAS),inductively coupled plasma optical emission spectrometry(ICP-OES)and inductively coupled plasma mass spectrometry(ICP-MS).The sample pretreatment conditions were optimized,and the detection limit,precision,recovery rate and operation cost of the three methods were compared.The results show that ICP-MS method has the lowest detection limit(0.001-0.005 mg/kg),with the recovery rate ranging from 95.3%to 103.7%and the relative standard deviation(SRSD)≤2.1%,which is suitable for accurate detection of low-content heavy metals.AAS method is simple in operation and low in cost,with the recovery rate ranging from 89.5%to 97.2%and SRSD≤3.8%,which is suitable for routine batch sample detection.ICP-OES method features high efficiency in simultaneous multi-element detection,with the recovery rate ranging from 92.1%to 101.5%and SRSD≤2.8%.

张红梅;王研;张红燕;康蓓蓓;李倩

贵州工业职业技术学院,贵州 贵阳 551400贵州工业职业技术学院,贵州 贵阳 551400贵州理工学院,贵州 贵阳 551400贵州工业职业技术学院,贵州 贵阳 551400贵州工业职业技术学院,贵州 贵阳 551400

轻工纺织

纺织品重金属检测方法

textilesheavy metalsdetection methods

《染整技术》 2026 (5)

47-49,3

贵州工业职业技术学院博士科研启动基金资助(2025-rc-04)贵州工业职业技术学院校级项目(2025ZK04)

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