广东工业大学学报2024,Vol.41Issue(5) :66-71.DOI:10.12052/gdutxb.230197

气相色谱-离子迁移谱检测畜禽有机废物堆肥中的挥发性硫化合物

Determination of Volatile Sulfur Compounds in Livestock Waste Compost by Gas Chromatography-ion Mobility Spectrometry

段腾飞 左林子 张立新 许燕滨
广东工业大学学报2024,Vol.41Issue(5) :66-71.DOI:10.12052/gdutxb.230197

气相色谱-离子迁移谱检测畜禽有机废物堆肥中的挥发性硫化合物

Determination of Volatile Sulfur Compounds in Livestock Waste Compost by Gas Chromatography-ion Mobility Spectrometry

段腾飞 1左林子 2张立新 3许燕滨1
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作者信息

  • 1. 广东工业大学 环境科学与工程学院,广东 广州 510006
  • 2. 广东工业大学 分析测试中心,广东 广州 510006
  • 3. 山东海能科学仪器有限公司,山东 德州 251500
  • 折叠

摘要

采用气相色谱-离子迁移谱技术,建立了检测畜禽有机废物堆肥中挥发性硫化合物-甲硫醚、乙硫醚、二甲基二硫醚和二硫化碳的方法.样品经除氨后用采气袋收集,经MXT-1气相色谱填充柱分离,采用正、负两种模式,在优化的载气流量和系统温度条件下进行检测.结果表明,4种挥发性硫化合物在各自线性范围内均表现出良好的线性关系(R2>0.99);检出限为0.008~0.097 mg/m3,回收率为85%~116%,相对标准偏差(Relative Standard Deviation,RSD)为1.13%~8.42%.该方法无需浓缩富集等预处理,仅采用气袋就可完成堆肥恶臭气体的收集,检测灵敏、响应快速,可用于堆肥气体中挥发性硫化合物的现场监测.

Abstract

A method for determination of volatile sulfur compounds-dimethyl sulfide,diethyl sulfide,dimethyl disulfide,and carbon disulfide in livestock waste compost was established using gas chromatography-ion mobility spectroscopy technology.The sample was collected using a gas sampling bag after ammonia removal,separated on a packed gas chromatography column of MXT-1,and detected in both positive and negative modes under the optimized experimental conditions.The results showed that the four sulfur compounds represented good linearity(R2>0.99)in their respective linear ranges;the detection limits were 0.008~0.097 mg/m3 with recoveries of 85%~116%and relative standard deviation(RSD)of 1.13%~8.42%.The method is free of pretreatment such as pre-concentration or enrichment,sensitive and rapid,and the collection of odorous composting gas can be conducted using a gas sampling bag.The method is sensitive and rapid,which can be used for on-site monitoring of volatile sulfur in compost gas.

关键词

气相色谱-离子迁移谱/检测/挥发性硫化合物

Key words

gas chromatography-ion mobility spectrometry/detection/volatile sulfur compounds

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基金项目

广东省联合基金重点项目(2019B1515210033)

广州市科技计划项目(202102021066)

出版年

2024
广东工业大学学报
广东工业大学

广东工业大学学报

影响因子:0.628
ISSN:1007-7162
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