scholarly journals Distinguishing between halogenated alkanes containing the same halogen based on the reaction kinetic parameter using negative ion mobility spectrometry at atmospheric pressure

RSC Advances ◽  
2020 ◽  
Vol 10 (49) ◽  
pp. 29441-29449
Author(s):  
Haiyan Han ◽  
Shihu Du ◽  
Yongliang Yan ◽  
Xiuhong Liu ◽  
Qiaofen Zhu ◽  
...  
Keyword(s):  
Kinetic Parameter ◽  
Ion Mobility Spectrometry ◽  
Ion Mobility ◽  
Atmospheric Pressure ◽  
Reaction Kinetic ◽  
Electron Attachment ◽  
High Sensitivity ◽  
Negative Ion ◽  
Volatile Organic ◽  
Halogenated Alkanes

Electron attachment ionization ion mobility spectrometry can be used to detect halogen-containing volatile organic compounds with high sensitivity.

scholarly journals Characterizing Electrospray Ionization Using Atmospheric Pressure Ion Mobility Spectrometry

2006 ◽  
Vol 78 (22) ◽  
pp. 7751-7760 ◽  
Author(s):  
Xiaoting Tang ◽  
James E. Bruce ◽  
Herbert H. Hill
Keyword(s):  
Electrospray Ionization ◽  
Ion Mobility Spectrometry ◽  
Ion Mobility ◽  
Atmospheric Pressure

scholarly journals Urine headspace analysis with field asymmetric ion mobility spectrometry for detection of chronic kidney disease

2020 ◽  
Vol 14 (8) ◽  
pp. 629-638
Author(s):  
Elina Jokiniitty ◽  
Lauri Hokkinen ◽  
Pekka Kumpulainen ◽  
Yrjö Leskinen ◽  
Terho Lehtimäki ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Kidney Function ◽  
Ion Mobility Spectrometry ◽  
Ion Mobility ◽  
Headspace Analysis ◽  
Diagnostic Tools ◽  
Electronic Noses ◽  
Volatile Organic ◽  
Preliminary Study

Electronic noses (eNoses) are an emerging class of experimental diagnostic tools. They are based on the detection of volatile organic compounds. Urine is used as sample medium in several publications but neither the effect of chronic kidney disease (CKD) on the analysis nor the potential to detect CKD has been explored. Materials & methods: We utilized an eNose based on field asymmetric ion mobility spectrometry (FAIMS) technology to classify urine samples from CKD patients and controls. Results: We were able to differentiate extremes of kidney function with an accuracy of 81.4%. Conclusion: In this preliminary study, applying eNose technology we were able to distinguish the patients with impaired kidney function from those with normal kidney function.

scholarly journals Towards a hand-held, fast, and sensitive gas chromatograph-ion mobility spectrometer for detecting volatile compounds

2020 ◽  
Author(s):  
André Ahrens ◽  
Stefan Zimmermann
Keyword(s):  
Gas Phase ◽  
Ion Mobility ◽  
Atmospheric Pressure ◽  
Response Times ◽  
Atmospheric Pressure Chemical Ionization ◽  
Real Life ◽  
High Sensitivity ◽  
Resolving Power ◽  
Gas Chromatograph ◽  
Ionization Processes

AbstractIon mobility spectrometers can detect gaseous compounds at atmospheric pressure in the range of parts per trillion within a second. Due to their fast response times, high sensitivity, and limited instrumental effort, they are used in a variety of applications, especially as mobile or hand-held devices. However, most real-life samples are gas mixtures, which can pose a challenge for IMS with atmospheric pressure chemical ionization mainly due to competing gas-phase ionization processes. Therefore, we present a miniaturized drift tube IMS coupled to a compact gas chromatograph for pre-separation, built of seven bundled standard GC columns (Rtx-Volatiles, Restek GmbH) with 250 μm ID and 1.07 m in length. Such pre-separation significantly reduces chemical cross sensitivities caused by competing gas-phase ionization processes and adds orthogonality. Our miniaturized GC-IMS system is characterized with alcohols, halocarbons, and ketones as model substances, reaching detection limits down to 70 pptv with IMS averaging times of just 125 ms. It separates test mixtures of ketones and halocarbons within 180 s and 50 s, respectively. The IMS has a short drift length of 40.6 mm and reaches a high resolving power of RP = 68.

scholarly journals High-Sensitivity Ion Mobility Spectrometry/Mass Spectrometry Using Electrodynamic Ion Funnel Interfaces

2005 ◽  
Vol 77 (10) ◽  
pp. 3330-3339 ◽  
Author(s):  
Keqi Tang ◽  
Alexandre A. Shvartsburg ◽  
Hak-No Lee ◽  
David C. Prior ◽  
Michael A. Buschbach ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Ion Mobility Spectrometry ◽  
Ion Mobility ◽  
High Sensitivity ◽  
Ion Funnel
Sign in / Sign up

Export Citation Format

Share Document