One-year time series of investigations of analytes within human breath using ion mobility spectrometry

Exhaled breath of patients suffering non-small bronchial carcinoma contains volatile organic compounds (VOC) different from healthy people. VOCs could be detected using ion mobility spectrometry down to the pg/L range even in air directly. To date, the origin of the different VOCs found is insecure. Such VOCs could be a direct product of the metabolism of the tumor or relatable to mostly present co-factors like infections or necrosis or a reaction of the human organism to the tumor (e.g. oxidativ stress). In the present study the breath of 19 patients suffering from confirmed NSCLC (non-small-cell lung carcinoma) with different histological types was investigated. In all cases flexible video-chip bronchoscopy was realized. Before taking samples for histological investigations in the lung on both main bronchi, samples of air were taken using a polytetrafluoroethylene (PTFE or Teflon) tube as catheter directly from the working channel of a bronchoscope and connected directly to the inlet of the ion mobility spectrometer. The measurement was started immediately. In total, 72 common peaks could be identified. 5 Peaks were significantly varying between the tumor site and the collateral lung. Considering adenocarcinoma, one peak separates both sites clearly and was relatable to the dimer of n-Dodecane. Two peaks were found on squamous cell carcinoma and relatable to 2-Butanol or 2-Methylfuran and Nonanal. The sensitivity, specificity, positive and negative predictive values were, for adenocarcinoma 100%, 75%, 80% and 100%, respectively -for squamous cell carcinoma 78%/78%, 67%/78%, 70%/80% and 75%/88%, for 2-Butanol and Nonanal respectively. Therefore, VOCs obtained from bronchoscopic sampling of breath could be detected using ion mobility spectrometry. The present study suggests that lung carcinoma with different histology will be represented by different volatile analytes.

Section: Methodsmentioning

confidence: 99%

Significant different volatile biomarker during bronchoscopic ion mobility spectrometry investigation of patients suffering lung carcinoma

Baumbach

Maddula

Sommerwerck

et al. 2011

“…The major parameters are summarized elsewhere [7,8,[12][13][14][15][16][17]. In this spectrometer a 550 MBq 63Ni ß-radiation source was applied for the ionisation of the carrier gas (air).…”

Section: Analysis Of Exhaled Breathmentioning

confidence: 99%

Detection of volatile organic compounds (VOCs) in exhaled breath of patients with chronic obstructive pulmonary disease (COPD) by ion mobility spectrometry

Bessa

Darwiche

Teschler

et al. 2011

COPD is a disease characterised by a chronic inflammation of the airways and a not fully reversible airway obstruction. The spirometry is considered as goldstandard to diagnose the disease and to grade its severity. In this study we used the methodology of Ion Mobility Spectometry in order to detect Volatile Organic Compounds (VOCs) in exhaled breath of patients with COPD. The purpose of this study was to investigate if the VOCs detected in patients with COPD were different from the VOCs detected in exhaled breath of healthy controls. 13 COPD patients and 33 healthy controls were included in the study. Breath samples were collected via a side-steam Teflon tube and directly measured by an ion mobility spectrometer coupled to a multi capillary column (MCC/ IMS). One peak was identified only in the patients group compared to the healthy control group. Consequently, the analysis of exhaled breath could be a useful tool to diagnose COPD.

“…The major parameters are summarized elsewhere [2, 3, 21-24, 74,76,79,80]. In this spectrometer a 550 MBq [63]Ni ß-radiation source was applied for the ionization of the carrier gas (air).…”

Section: Methodsmentioning

confidence: 99%

“…The analytical technique used in the present paper is the same basic technique used to detect explosives or chemical warfare agents and was developed in a close cooperation of ISAS (Institute for Analytical Sciences, Dortmund) and the Lung Hospital Hemer, to examine hospital patients with lung cancer and airway infections [3, 21-23, 25, [74][75][76][77][78].…”

Section: Introductionmentioning

confidence: 99%

Detection of infectious agents in the airways by ion mobility spectrometry of exhaled breath

Rabis

Sommerwerck

Anhenn

et al. 2011

Diseases of the lung, e. g. chronic obstructive pulmonary disease (COPD), interstitial lung diseases, bronchiectasis or cystic fibrosis, often lead to recurrent severe respiratory infections that cause exacerbations of the underlying disease. These acute or chronic inflammatory processes can result in a progressive destruction of the lung and in an ongoing decline in lung function. Therefore longer inpatient stays for intravenous antibiotic treatment are necessary and the quality of life in these patients is severely limited. A rapid detection of infectious agents in human lungs is often crucial, because the choice of the appropriate therapeutic regime depends at first on the identification of the infecting species. Standard methods for detection and identification are either time consuming, of low sensitivity or expensive. It is known that bacteria, and also mitosporic fungi, produce volatile organic compounds (VOCs) that can be detected in exhaled breath by ion mobility spectrometry (IMS), were a distinct detection of a specific VOC is related to a "peak". We investigated, whether the detection and characterisation of VOCs by Multi-capillary column coupled to IMS in exhaled breath of patients whose airways are either infected or colonized by Pseudomonas aeruginosa compared to healthy non-smoker controls is capable of identifying those infectious agents. To realize a non invasive identification of pathogens, the exhaled breath of 53 persons (24 patients suffering chronic or infectious on Pseudomonas and 29 healthy controls) was investigated using an ion mobility spectrometer type BioScout. In total 224 different signals were found. Actually, 21 different signals are able to differentiate the two groups, Control and Pseudomonas, with rank sum values less than 0.2. For all 224 signals Box-and-Wisker plots were realized. The peaks with the lowest rank sum values F (0,107) and PS0 (0,112) show rather good separation of both groups. Our preliminary results demonstrate that distinct patterns of a small number of IMSpeaks are sufficient for the identification of these infectious agents. Therefore MCC-IMS seems to be a promising method for the non-invasive identification of patients which are colonized or infected with bacteria such as Pseudomonas aeruginosa.