Rapid detection of synthetic biomarkers of Escherichia coli in water using microAnalyzer: a field dependence study

Saptalena, Lena Ganda; Kerpen, Klaus; Kuklya, Andriy; Telgheder, Ursula

doi:10.1007/s12127-011-0087-4

Cited by 6 publications

(6 citation statements)

References 8 publications

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“…Several physicochemical properties of indole, 4methylumbelliferone, and o-nitrophenol are given in Table1. As also shown in earlier work[2], GC-DMS has better…”

supporting

confidence: 80%

“…The experimental setup consisted of a miniaturized GC-DMS (microAnalyzer TM from the Sionex, USA) connected to a 0.5 bar nitrogen gas supply. The operational principle of the instrument has been described in the earlier work [2]. There are three stages in the operation of the miniaturized GC-DMS: sampling, loading, and detection.…”

Section: Gc-dmsmentioning

confidence: 99%

“…The height of each headspace vial was 75 mm, approximately half of it was filled by sample, and the 500 µL headspace gases were taken mm above the surface of the liquid sample. The headspace gases were then injected into the miniaturized GC-DMS, through the sample inlet in the modified sample introduction system whose schematic representation has been detailed in the earlier work [2]. The sample was then immediately stored in the dark at 4 °C to preserve the cell concentration.…”

Section: Headspace Analysis Of Bacterial Samples Using Gc-dmsmentioning

confidence: 99%

“…As reported in earlier work [2], in which headspace over aqueous solutions of twelve standard compound which are suspected to be possible volatile metabolites [4; 26; 27; 28] were analyzed by miniaturized GC-DMS. The sensitivity of the analytical system was not sufficient for the analysis of indole, undecanone, and 2-tridecanone.…”

Section: Introductionmentioning

confidence: 99%

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Gas Chromatography–Differential Mobility Spectrometry and Gas Chromatography–Mass Spectrometry for the detection of coliform bacteria

Saptalena

Kuklya

Telgheder

2015

International Journal of Mass Spectrometry

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The use of miniaturized Gas Chromatography -Differential Mobility Spectrometry (GC-DMS) is shown for the detection and identification of coliform bacteria (including Escherichia coli) grown in five different media: Colilert ® -18, glucose broth, M9-medium, tryptophan broth, and tryptic soy broth. After incubation in the different media, headspace containing the volatile compounds were analyzed by the GC-DMS and the results were validated by Gas Chromatography -Mass Spectrometry (GC-MS). Results showed that the GC-DMS and GC-MS were able to detect onitrophenol released by coliform bacteria incubated in Colilert ® -18. In addition to that, GC-MS was able to detect indole compound released by coliform bacteria grown in all media. Neither GC-DMS nor GC-MS could detect 4methylumbelliferone from the headspace of E. coli grown in media containing 4-methylumbelliferyl-β-D-glucoronide (MUG) substrate, which was available in Colilert ® -18. With the miniaturized GC-DMS being portable and can be operated using ambient pressure, this method offers a potential on-site detection of coliform bacteria.

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“…Several physicochemical properties of indole, 4methylumbelliferone, and o-nitrophenol are given in Table1. As also shown in earlier work[2], GC-DMS has better…”

supporting

confidence: 80%

Section: Gc-dmsmentioning

confidence: 99%

Section: Headspace Analysis Of Bacterial Samples Using Gc-dmsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Gas Chromatography–Differential Mobility Spectrometry and Gas Chromatography–Mass Spectrometry for the detection of coliform bacteria

Saptalena

Kuklya

Telgheder

2015

International Journal of Mass Spectrometry

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“…For their monitoring, the combination of solid-phase microextraction (SPME) with gas chromatography-mass spectrometry (GC-MS) is a very suitable option, since SPME allows an in-situ extraction and preconcentration of the MVOCs in a single step, whereas GC-MS provides the sensitivity and selectivity required for an unequivocal identification of the extracted MVOCs. The determination of MVOCs by SPME-GC-MS has been successfully used in the diagnosis of respiratory and gastrointestinal infections, and to investigate microbial growth in food [16][17][18][19]. However, to the best of our knowledge, only a previous study of the authors reported the use of SPME-GC-MS to identify MVOCs produced by bacterial growth in cosmetics [20], work that provided the basis for the present study by being combined with API ® technology.…”

Section: Figurementioning

confidence: 99%

Tracking Bacterial Spoilage in Cosmetics by a New Bioanalytical Approach: API-SPME-GC-MS to Monitor MVOCs

Celeiro

Varela²,

Rodríguez³

et al. 2020

Cosmetics

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The main goal of this work was the use of the powerful solid-phase microextraction-gas chromatography-mass spectrometry (SPME-GC-MS) technique to unequivocally identify microbial volatile organic compounds (MVOCs) derived from the enzymatic activity produced during metabolic processes using analytical profile index (API) biochemical tests. Three bacteria were selected for this study: Escherichia coli, Proteus mirabilis, and Pseudomonas aeruginosa. They were inoculated and incubated to both API components and real cosmetics, as well as to a mixture of them. Specific MVOCs were successfully identified as biomarkers for each one of the studied microorganisms: Indole and 2-nitrophenol as Escherichia coli markers, 2-undecanone and phenylethyl alcohol as Proteus mirabilis-specific markers, and 1-undecene and 2′-aminoacetophenone as Pseudomonas aeruginosa ones. In addition, a high number of MVOCs were identified as general markers of bacterial presence. The results revealed that the MVOCs’ formation is highly subtract dependent. Therefore, the ultimate and most challenging objective is to establish a relationship between the identified MVOCs and the original compound present in the substrate. This work establishes the design and development of this original approach, and its practical application to the control of microbial contamination in real cosmetic samples.

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Fast detection of coliform bacteria by means of gas chromatography-differential mobility spectrometry

2016

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In this study, we demonstrate that the combination of an enzymatic method (based on Colilert-18 medium) and gas chromatography-differential mobility spectrometry (GC-DMS) can reduce the time required for detection of coliform bacteria (including Escherichia coli) from 18 to 2.5 h. The presented method includes the incubation (~2.5 h) of the sample containing coliform bacteria in Colilert-18 medium. The incubation time of 2.5 h is required for the activation of the β-galactosidase enzyme. Produced during the incubation biomarker o-nitrophenol (ONP) can be detected by means of GC-DMS within just 200 s. The detection limit for ONP was 45 ng (on-column). The method developed in this work provides significantly shorter analysis time compared with standard methods, and can be potentially adapted to the field conditions. Therefore, this method is a promising tool for an early detection of coliform bacteria (including E. coli). Graphical Abstract Fast detection of coliform bacteria by means of GC-DMS.

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Rapid detection of synthetic biomarkers of Escherichia coli in water using microAnalyzer: a field dependence study

Cited by 6 publications

References 8 publications

Gas Chromatography–Differential Mobility Spectrometry and Gas Chromatography–Mass Spectrometry for the detection of coliform bacteria

Gas Chromatography–Differential Mobility Spectrometry and Gas Chromatography–Mass Spectrometry for the detection of coliform bacteria

Tracking Bacterial Spoilage in Cosmetics by a New Bioanalytical Approach: API-SPME-GC-MS to Monitor MVOCs

Fast detection of coliform bacteria by means of gas chromatography-differential mobility spectrometry

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