| Title |
Rapid and specific SPRi detection of L. pneumophila in complex environmental water samples
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, May 2015
|
| DOI | 10.1007/s00216-015-8726-y |
| Pubmed ID | |
| Authors |
Amir M. Foudeh, Hana Trigui, Nilmini Mendis, Sebastien P. Faucher, Teodor Veres, Maryam Tabrizian |
| Abstract |
Legionellosis is a very devastating disease worldwide mainly due to unpredictable outbreaks in man-made water systems. Developing a highly specific and sensitive rapid detection system that detects only metabolically active bacteria is a main priority for water quality assessment. We previously developed a versatile technique for sensitive and specific detection of synthetic RNA. In the present work, we further investigated the performance of the developed biosensor for detection of Legionella pneumophila in complex environmental samples, particularly those containing protozoa. The specificity and sensitivity of the detection system were verified using total RNA extracted from L. pneumophila in spiked water co-cultured with amoebae. We demonstrated that the expression level of ribosomal RNA (rRNA) is extremely dependent on the environmental conditions. The presence of amoebae with L. pneumophila, especially in nutrition-deprived samples, increased the amount of L. pneumophila 15-fold after 1 week as measured through the expression of 16s rRNA. Using the developed surface plasmon resonance imaging (SPRi) detection method, we were also able to successfully detect L. pneumophila within 3 h, both in the presence and absence of amoebae in the complex environmental samples obtained from a cooling water tower. These findings suggest that the developed biosensing system is a viable method for rapid, real-time and effective detection not only for L. pneumophila in environmental samples but also to assess the risk associated with the use of water contaminated with other pathogens. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 54 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 20% |
| Researcher | 9 | 16% |
| Student > Master | 9 | 16% |
| Student > Doctoral Student | 4 | 7% |
| Student > Bachelor | 3 | 5% |
| Other | 7 | 13% |
| Unknown | 13 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 8 | 14% |
| Agricultural and Biological Sciences | 7 | 13% |
| Chemistry | 5 | 9% |
| Biochemistry, Genetics and Molecular Biology | 4 | 7% |
| Computer Science | 3 | 5% |
| Other | 9 | 16% |
| Unknown | 20 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 July 2015.
All research outputs
#19,942,887
of 25,371,288 outputs
Outputs from Analytical & Bioanalytical Chemistry
#6,060
of 9,618 outputs
Outputs of similar age
#192,849
of 278,824 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#62
of 188 outputs
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So far Altmetric has tracked 9,618 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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