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A bacterial reporter panel for the detection and classification of antibiotic substances.

Melamed S, Lalush C, Elad T, Yagur-Kroll S, Belkin S, Pedahzur R - Microb Biotechnol (2012)

Bottom Line: The ever-growing use of pharmaceutical compounds, including antibacterial substances, poses a substantial pollution load on the environment.All of the tested antibiotics were detected by the panel, which displayed different response patterns for each substance.These unique responses were analysed by several algorithms that enabled clustering the compounds according to their functional properties, and allowed the classification of unknown antibiotic substances with a high degree of accuracy and confidence.

View Article: PubMed Central - PubMed

Affiliation: Department of Plant and Environmental Sciences, The Alexander Silberman Institute of Life Sciences, the Hebrew University of Jerusalem, Jerusalem, Israel.

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Response patterns of 12 reporter strains to 11 antibiotics, following a 5 h exposure. Error bars indicate the standard deviation of 20 independent repeats.
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f4: Response patterns of 12 reporter strains to 11 antibiotics, following a 5 h exposure. Error bars indicate the standard deviation of 20 independent repeats.

Mentions: The application of pattern classification algorithms for the identification of target chemicals based on the response patterns of bacterial reporters has been previously described (Ben‐Israel et al., 1998; Elad et al., 2008; Smolander et al., 2009). As described below, our approach is different in the type of classification algorithms employed, as well as in their multiplexed implementation, individually or combined. Figure 4 displays, as an example, the ‘fingerprints’ generated by the 12‐member reporter panel in response to 11 antibiotics after 5 h.


A bacterial reporter panel for the detection and classification of antibiotic substances.

Melamed S, Lalush C, Elad T, Yagur-Kroll S, Belkin S, Pedahzur R - Microb Biotechnol (2012)

Response patterns of 12 reporter strains to 11 antibiotics, following a 5 h exposure. Error bars indicate the standard deviation of 20 independent repeats.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3815330&req=5

f4: Response patterns of 12 reporter strains to 11 antibiotics, following a 5 h exposure. Error bars indicate the standard deviation of 20 independent repeats.
Mentions: The application of pattern classification algorithms for the identification of target chemicals based on the response patterns of bacterial reporters has been previously described (Ben‐Israel et al., 1998; Elad et al., 2008; Smolander et al., 2009). As described below, our approach is different in the type of classification algorithms employed, as well as in their multiplexed implementation, individually or combined. Figure 4 displays, as an example, the ‘fingerprints’ generated by the 12‐member reporter panel in response to 11 antibiotics after 5 h.

Bottom Line: The ever-growing use of pharmaceutical compounds, including antibacterial substances, poses a substantial pollution load on the environment.All of the tested antibiotics were detected by the panel, which displayed different response patterns for each substance.These unique responses were analysed by several algorithms that enabled clustering the compounds according to their functional properties, and allowed the classification of unknown antibiotic substances with a high degree of accuracy and confidence.

View Article: PubMed Central - PubMed

Affiliation: Department of Plant and Environmental Sciences, The Alexander Silberman Institute of Life Sciences, the Hebrew University of Jerusalem, Jerusalem, Israel.

Show MeSH
Related in: MedlinePlus