Predicting optimal resolving power for ambient pressure ion mobility spectrometry.
Predicting optimal resolving power for ambient pressure ion mobility spectrometry.
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DOI:
10.1021/ac8008143
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发表时间:
2008-09-01
影响因子:
7.4
通讯作者:
Hill, Herbert H., Jr.
中科院分区:
文献类型:
--
作者:
Kanu, Abu B.;Gribb, Molly M.;Hill, Herbert H., Jr.
Although diffusion theory predicts that IMS resolving power increases with the square root of the voltage applied across the drift tube, in practice there exists an optimum voltage above which resolving power decreases. This optimum voltage was determined to be both compound and initial ion pulse width-dependent. A “conditional” resolving power equation is introduced that can be used to quickly approximate realistic resolving powers for specific instrumental operating parameters and compounds. Using four common environmental contaminants [trichloroethylene (TCE), tetrachloroethylene (PCE), methyl tert-butyl ether (MTBE) and methyl iso-butyl ketone (MIBK)], diffusion-limited (theoretical), Rd, conditional, Rc, and actual (or measured), Rm, IMS resolving powers were determined and compared for a small IMS instrument designed for subsurface measurements. Detection limits determined at the optimal resolving power for the environmental contaminants ranged from 18 parts per trillion volume-to-volume (pptv) to 80 parts per billion volume-to-volume (ppbv). The maximal measured resolving power for our small, ambient-pressure stand-alone IMS ranged from 42 to 54, yielding an IMS resolving power efficiency, defined as Rm/Rc × 100%, of 56 to 74% of the maximal conditional resolving power possible.
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影响因子:
1.3
作者:
COHEN, MJ;KARASEK, FW
通讯作者:
KARASEK, FW
影响因子:
--
作者:
MOSELEY, JT;GATLAND, IR;MCDANIEL, EW
通讯作者:
MCDANIEL, EW
影响因子:
1.3
作者:
Luong, Jim;Gras, Ronda;Cortes, Hernan
通讯作者:
Cortes, Hernan
影响因子:
7.4
作者:
HILL, HH;SIEMS, WF;MCMINN, DG
通讯作者:
MCMINN, DG
DOI:
10.1088/0022-3735/16/11/018
发表时间:
1983-01-01
期刊:
JOURNAL OF PHYSICS E-SCIENTIFIC INSTRUMENTS
影响因子:
--
作者:
CARRICO, JP;SICKENBERGER, DW;VORA, KN
通讯作者:
VORA, KN