Literature DB >> 27058460

Measurement of exhaled volatile organic compounds from patients with chronic obstructive pulmonary disease (COPD) using closed gas loop GC-IMS and GC-APCI-MS.

M Allers1, J Langejuergen, A Gaida, O Holz, S Schuchardt, J M Hohlfeld, S Zimmermann.   

Abstract

Due to its high sensitivity, compact size and low cost ion mobility spectrometry (IMS) has the potential to become a point-of-care breath analyzer. Therefore, we developed a prototype of a compact, closed gas loop IMS with gas chromatographic (GC) pre-separation and high resolving power of R  =  90. In this study, we evaluated the performance of this GC-IMS under clinical conditions in a COPD study to find correlations between VOCs (10 ppbv to 1 ppmv) and COPD. Furthermore, in order to investigate possible correlations between ultra-low concentrated breath VOCs (0.1 pptv to 1 ppbv) and COPD, a modified mass spectrometer (MS) with atmospheric pressure chemical ionization (APCI) and GC pre-separation (GC-APCI-MS) was used. The GC-IMS has been used in 58 subjects (21 smokers with moderate COPD, 12 ex-smokers with COPD, 16 healthy smokers and 9 non-smokers). GC-APCI-MS data were available for 94 subjects (21 smokers with moderate COPD, 25 ex-smokers with COPD, 25 healthy smokers and 23 non-smokers). For 44 subjects, a comparison between GC-IMS and GC-APCI-MS data could be performed. Due to service intervals, subject availability and corrupt data, patient numbers were different for GC-APCI-MS and GC-IMS measurements. Using GC-IMS, three VOCs have been found showing a significant difference between healthy controls and patients with COPD. In the GC-APCI-MS data, we only observed one distinctive VOC, which has been identified as 2-pentanone. This proof-of-principle study shows the potential of our high-resolution GC-IMS in the clinical environment. Due to different linear dynamic response ranges, the data of GC-IMS and GC-APCI-MS were only comparable to a limited extent.

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Year:  2016        PMID: 27058460     DOI: 10.1088/1752-7155/10/2/026004

Source DB:  PubMed          Journal:  J Breath Res        ISSN: 1752-7155            Impact factor:   3.262


  8 in total

Review 1.  Breathomics for the clinician: the use of volatile organic compounds in respiratory diseases.

Authors:  Wadah Ibrahim; Liesl Carr; Rebecca Cordell; Michael J Wilde; Dahlia Salman; Paul S Monks; Paul Thomas; Chris E Brightling; Salman Siddiqui; Neil J Greening
Journal:  Thorax       Date:  2021-01-07       Impact factor: 9.139

2.  Diagnosis of pulmonary tuberculosis and assessment of treatment response through analyses of volatile compound patterns in exhaled breath samples.

Authors:  Nicola M Zetola; Chawangwa Modongo; Ogopotse Matsiri; Tsaone Tamuhla; Bontle Mbongwe; Keikantse Matlhagela; Enoch Sepako; Alexandro Catini; Giorgio Sirugo; Eugenio Martinelli; Roberto Paolesse; Corrado Di Natale
Journal:  J Infect       Date:  2016-12-22       Impact factor: 6.072

Review 3.  Evolution of clinical and environmental health applications of exhaled breath research: Review of methods and instrumentation for gas-phase, condensate, and aerosols.

Authors:  M Ariel Geer Wallace; Joachim D Pleil
Journal:  Anal Chim Acta       Date:  2018-02-09       Impact factor: 6.558

4.  Diagnosis and Classification of 17 Diseases from 1404 Subjects via Pattern Analysis of Exhaled Molecules.

Authors:  Morad K Nakhleh; Haitham Amal; Raneen Jeries; Yoav Y Broza; Manal Aboud; Alaa Gharra; Hodaya Ivgi; Salam Khatib; Shifaa Badarneh; Lior Har-Shai; Lea Glass-Marmor; Izabella Lejbkowicz; Ariel Miller; Samih Badarny; Raz Winer; John Finberg; Sylvia Cohen-Kaminsky; Frédéric Perros; David Montani; Barbara Girerd; Gilles Garcia; Gérald Simonneau; Farid Nakhoul; Shira Baram; Raed Salim; Marwan Hakim; Maayan Gruber; Ohad Ronen; Tal Marshak; Ilana Doweck; Ofer Nativ; Zaher Bahouth; Da-You Shi; Wei Zhang; Qing-Ling Hua; Yue-Yin Pan; Li Tao; Hu Liu; Amir Karban; Eduard Koifman; Tova Rainis; Roberts Skapars; Armands Sivins; Guntis Ancans; Inta Liepniece-Karele; Ilze Kikuste; Ieva Lasina; Ivars Tolmanis; Douglas Johnson; Stuart Z Millstone; Jennifer Fulton; John W Wells; Larry H Wilf; Marc Humbert; Marcis Leja; Nir Peled; Hossam Haick
Journal:  ACS Nano       Date:  2016-12-21       Impact factor: 15.881

5.  A systematic review of the diagnostic accuracy of volatile organic compounds in airway diseases and their relation to markers of type-2 inflammation.

Authors:  Wadah Ibrahim; Sushiladevi Natarajan; Michael Wilde; Rebecca Cordell; Paul S Monks; Neil Greening; Christopher E Brightling; Rachael Evans; Salman Siddiqui
Journal:  ERJ Open Res       Date:  2021-08-31

6.  Urinary Volatiles and Chemical Characterisation for the Non-Invasive Detection of Prostate and Bladder Cancers.

Authors:  Heena Tyagi; Emma Daulton; Ayman S Bannaga; Ramesh P Arasaradnam; James A Covington
Journal:  Biosensors (Basel)       Date:  2021-11-03

7.  Analysis of volatile organic compounds and metabolites of three cultivars of asparagus (Asparagus officinalis L.) using E-nose, GC-IMS, and LC-MS/MS.

Authors:  Chun Yang; Zheng Ye; Liping Mao; Ling Zhang; Jiangning Zhang; Weiying Ding; Jiming Han; Kai Mao
Journal:  Bioengineered       Date:  2022-04       Impact factor: 6.832

8.  AuNPs@MIL-101 (Cr) as a SERS-Active Substrate for Sensitive Detection of VOCs.

Authors:  Dan Xie; Ruimeng Wang; Jinghao Fu; Zhongxing Zhao; Min Li
Journal:  Front Bioeng Biotechnol       Date:  2022-06-20
  8 in total

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