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顶空固相微萃取-气相色谱-质谱联用优化牛粪浆中有机挥发性化合物分析的实验设计

Experimental design to optimise the analysis of organic volatile compounds in cow slurry by headspace solid-phase microextraction-gas chromatography-mass spectrometry.

作者信息

Larreta J, Vallejo A, Bilbao U, Alonso A, Arana G, Zuloaga O

机构信息

Kimika Analitikoa Saila, Euskal Herriko Unibertsitatea, 644 P.K., E-48080 Bilbao, Spain.

出版信息

J Chromatogr A. 2006 Dec 8;1136(1):1-9. doi: 10.1016/j.chroma.2006.09.062. Epub 2006 Oct 17.

Abstract

The headspace solid-phase microextraction (HS-SPME) of some odorous organic compounds [volatile fatty acids (VFAs), phenols and indoles] from animal wastes was optimised using an experimental design approach. The variables affecting the HS-SPME process studied were as follows: type of fibre, pH of the slurry (3-7), addition of sodium chloride (0-1 mol L(-1)), sample volume (10-30 mL), exposure time (10-30 min), exposure temperature (25-50 degrees C), desorption time (3-10 min) and desorption temperature (230-310 degrees C). As for the sorbent, three different types of fibres were studied: 50/30 microm divinylbenzene/Carboxen/polydimethylsiloxane (DVB/CAR/PDMS), 100 microm PDMS and 85 microm CAR/PDMS. Methylation VFAs was observed when fibres containing PDMS were used. The analytes studied in the optimisation procedure were acetic acid, propanoic acid, butanoic acid, 3-methylbutanoic acid, pentanoic acid, phenol, 4-methylphenol, 4-ethylphenol, indole and skatole (3-methylindole). In order to study the influence of the variables on the responses of the compounds, a Plackett-Burman design was built using the Unscrambler program. The optimisation was carried out using real samples. In order to take into account the matrix effect on the calibration curves, standard solutions were prepared using a purged cow slurry free from the analytes of interest. Repeatability within and among days, accuracy and detection limits were calculated from these calibration curves.

摘要

采用实验设计方法优化了从动物粪便中顶空固相微萃取(HS-SPME)某些有气味的有机化合物[挥发性脂肪酸(VFAs)、酚类和吲哚类]的过程。研究的影响HS-SPME过程的变量如下:纤维类型、浆液pH值(3 - 7)、氯化钠添加量(0 - 1 mol L⁻¹)、样品体积(10 - 30 mL)、暴露时间(10 - 30分钟)、暴露温度(25 - 50℃)、解吸时间(3 - 10分钟)和解吸温度(230 - 310℃)。至于吸附剂,研究了三种不同类型的纤维:50/30μm二乙烯基苯/碳分子筛/聚二甲基硅氧烷(DVB/CAR/PDMS)、100μm聚二甲基硅氧烷和85μm碳分子筛/聚二甲基硅氧烷。使用含聚二甲基硅氧烷的纤维时观察到挥发性脂肪酸的甲基化现象。优化过程中研究的分析物有乙酸、丙酸、丁酸、3 - 甲基丁酸、戊酸、苯酚、4 - 甲基苯酚、4 - 乙基苯酚、吲哚和粪臭素(3 - 甲基吲哚)。为了研究变量对化合物响应的影响,使用Unscrambler程序构建了Plackett-Burman设计。使用实际样品进行优化。为了考虑基质对校准曲线的影响,使用不含目标分析物的吹扫牛粪浆液制备标准溶液。根据这些校准曲线计算日内和日间的重复性、准确度和检测限。

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