Analysis of bacteria by pyrolysis gas chromatography–differential mobility spectrometry and isolation of chemical components with a dependence on growth temperature

Prasad, Satendra; Pierce, Karisa M.; Schmidt, H.; Rao, Jaya V.; Güth, Robert; Bader, Sabine; Synovec, Robert E.; Smith, Geoffrey B.; Eiceman, Gary A.

doi:10.1039/b705929a

Cited by 24 publications

(29 citation statements)

References 43 publications

(49 reference statements)

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“…However, in recent years, ion mobility spectrometers are increasingly in demand for new applications specifically on biological samples (cells, fungi, bacteria) [3][4][5][6][7][8][9][10][11][12], in medicine (diagnosis, therapy and medication control e.g. from breath analysis) [3,4,13,14] and process control [15][16][17][18][19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Empirical prediction of reduced ion mobilities of secondary alcohols

Hariharan

Baumbach

Vautz

2009

Int. J. Ion Mobil. Spec.

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Ion Mobility Spectrometry is a powerful method for the rapid identification of gas-phase analytes and finds its usage in various fields including the sensitive analysis of extremely complex and humid mixtures such as human breath when additional pre-separation techniques are applied. The output data from an ion mobility spectrometer (IMS), equipped with a Multi-Capillary Column (MCC) for pre-separation, is a chromatogram of the signal intensity versus a particular retention time and a specific reduced ion mobility which are the characteristics of the detected analyte. Hence, it is important to have a database of analytes with both the values for comparison and identification of peaks in any IMS chromatogram. Commonly, such databases are collected by measurements of reference analytes. It is obvious that a prognosis of the values, without the time consuming and costly reference measurements, would be a considerable facilitation for a preliminary identification of unknowns and development of databases. In this study, a correlation between the reduced ion mobilities and the number of carbon atoms was found for secondary alcohols. The correlation was then used to predict the reduced ion mobilities of other analytes in the same homologous series. To verify the accuracy of the prognosis, the analytes were measured individually using a 63 Ni-MCC-IMS and compared to the predicted values. The results of the prognosis show an accuracy higher than 99.5%.

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Section: Introductionmentioning

confidence: 99%

Empirical prediction of reduced ion mobilities of secondary alcohols

Hariharan

Baumbach

Vautz

2009

Int. J. Ion Mobil. Spec.

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“…In recent years, the instrument has been increasingly in demand for new applications of complex samples, particularly for biological samples (cells, fungi, bacteria) 21, 28, 29 , in medicine (diagnosis, therapy and medication control e.g. for measuring metabolites in breath analysis) 21, 30, 31 .…”

Section: Origin and Applicationsmentioning

confidence: 99%

Review on Ion Mobility Spectrometry. Part 1: current instrumentation

Cumeras

Figueras

Davis

et al. 2015

Analyst

378

312

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Ion Mobility Spectrometry (IMS) is a widely used and ‘well-known’ technique of ion separation in gaseous phase based on the differences of ion mobilities under an electric field. All IMS instruments operate with an electric field that provides space separation, but some IMS instruments also operate with a drift gas flow which provides also a temporal separation. In this review we will summarize the current IMS instrumentation. IMS techniques have received an increased interest as new instrumentation has become available to be coupled with mass spectrometry (MS). For each of the eight types of IMS instruments reviewed it is mentioned whether they can be hyphenated with MS and whether they are commercially available. Finally, out of the described devices, the six most-consolidated ones are compared. The current review article is followed by a companion review article which details the IMS hyphenated techniques (mainly gas chromatography and mass spectrometry) and the factors that make the data from an IMS device change as function of device parameters and sampling conditions. These reviews will provide the reader with an insightful view of the main characteristics and aspects of the IMS technique.

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“…More recently, the detection of different VOCs and their relations to medical questions was reported, including ion mobility spectrometry [22, [55][56][57][58][59][60][61][62][63][64][65][66][67][68][69][70][71]. Some of the VOCs were related to bacteria taken from headspace of cultures [58,72,73].…”

Section: Introductionmentioning

confidence: 99%

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

Rabis

Sommerwerck

Anhenn

et al. 2011

Int. J. Ion Mobil. Spec.

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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.

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Analysis of bacteria by pyrolysis gas chromatography–differential mobility spectrometry and isolation of chemical components with a dependence on growth temperature

Cited by 24 publications

References 43 publications

Empirical prediction of reduced ion mobilities of secondary alcohols

Empirical prediction of reduced ion mobilities of secondary alcohols

Review on Ion Mobility Spectrometry. Part 1: current instrumentation

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

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