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气相色谱-串联质谱法测定水中29种致嗅物质

李丰铎 王洵 石亚东 李涛 钱进

分析测试学报2024,Vol.43Issue(4):582-589,8.
分析测试学报2024,Vol.43Issue(4):582-589,8.DOI:10.12452/j.fxcsxb.23112719

气相色谱-串联质谱法测定水中29种致嗅物质

Determination of 29 Odor-causing Substances in Water by Gas Chromatography-Tandem Mass Spectrometry

李丰铎 1王洵 1石亚东 2李涛 2钱进1

作者信息

  • 1. 河海大学 环境学院,江苏 南京 210098||河海大学 浅水湖泊综合治理与资源开发教育部重点实验室,江苏 南京 210098
  • 2. 太湖流域水文水资源监测中心(太湖流域水环境监测中心),江苏 无锡 214024
  • 折叠

摘要

Abstract

A rapid method was developed for the determination of 29 odor-causing substances in wa-ter using headspace-arrow-solid-phase microextraction(HS-Arrow-SPME)coupled with gas chroma-tography-tandem mass spectrometry(GC-MS/MS).By optimizing the pretreatment conditions and GC-MS/MS parameters,10 mL of water samples were selected to be added into a headspace vial,pre-incubated at 70℃for 8 min with the assistance of 3.5 g NaCl salting-out,then extracted with a DVB/Carbon WR/PMDS Smart SPME Arrow extraction head for 20 min,and finally desorbed at the inlet of 240℃for 3 min.The GC-MS/MS platform was configured with a VF-624 MS column(30 m×0.25 mm×1.4 μm)and detected in multiple reaction monitoring(MRM)mode.The results showed that the linearity of the 29 odor-causing substances in water was good in the ranges of 5-300 ng/L with correlation coefficients(r2)greater than 0.991.The limits of detection and the limits of quantitation ranged of 0.31-9.27 ng/L and 1.26-37.09 ng/L,respectively.The recoveries of 29 odor-causing substances spiked with the ultra-pure water as the blank matrix at spiked levels of 10,80,and 160 ng/L were in the ranges of 84.3%-112%,and the relative standard deviations(RSDs,n=6)were in the ranges of 0.10%-8.6%.The method has been used for the determination of 29 targets in real wa-ter samples and can meet the requirements for the detection of trace odor-causing substances.

关键词

顶空箭型固相微萃取/气相色谱-串联质谱//致嗅物质

Key words

HS-Arrow-SPME/GC-MS/MS/water/odor-causing substance

分类

化学化工

引用本文复制引用

李丰铎,王洵,石亚东,李涛,钱进..气相色谱-串联质谱法测定水中29种致嗅物质[J].分析测试学报,2024,43(4):582-589,8.

基金项目

上海城投(集团)有限公司科技创新计划项目(CTKY-ZDXM-2022-001) (集团)

分析测试学报

OA北大核心CSTPCD

1004-4957

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