| Title |
Effectiveness of ATP bioluminescence assay for presumptive identification of microorganisms in hospital water sources
|
|---|---|
| Published in |
BMC Infectious Diseases, June 2017
|
| DOI | 10.1186/s12879-017-2562-y |
| Pubmed ID | |
| Authors |
Máira Gazzola Arroyo, Adriano Menis Ferreira, Oleci Pereira Frota, Marcelo Alessandro Rigotti, Denise de Andrade, Natalia Seron Brizzotti, Jacqueline Tanury Macruz Peresi, Elza Maria Castilho, Margarete Teresa Gottardo de Almeida |
| Abstract |
Laboratory analysis of organisms in water include arduous methods, such as the multiple tube and membrane filter. The ATP bioluminescence system, proposes a new way of measuring cellular material in water by measuring adenosine triphosphate (ATP) levels, which are expressed in relative light units (RLU). The ATP bioluminescence assay has been increasingly used to assess the microbiological safety of the hospital environment. However, there are few studies investigating the use of this methodology to evaluate the microbiological quality of water. The objective of the present study was to verify whether ATP, as measured by the 3 M™ Clean-Trace Water™ ATP test, can be used as an alternative tool for presumptive testing for the presence of microorganisms in hospital water. Water samples (N = 88) were collected from faucets (74) and water purifiers (14) in a university hospital. The sample were filtered by the membrane filter technique (100 mL for bacterial analysis and 100 mL for fungal analysis) and then submitted to ATP bioluminescence assay to the determine quantity of RLU in each sample. In order to compare RLU and the presence of microorganisms, a receiver operating characteristic (ROC) curve was used to calculate sensitivity and specificity (levels higher than 90% were considered significant). In addition, control tests were conducted to compare RLU to the quantities of bacterial and fungal organisms added to distilled water (ANOVA and Tukey's tests; p ≤ 0.05). This inoculum was compared to RLU emission, and the data were analyzed by calculating the Pearson's correlation coefficient, with a 95% confidence interval. In the present study, 94.3% of the water samples presented bacterial growth. Of these, 15.6% showed heterotrophic bacteria above recommended levels and fungal contamination was detected in 55.6% of samples. Sensitivity and specificity of the samples were not significant (< 90%), and the correlation between ATP and the presence of these microorganisms in the samples (hospital water) was not significant, whereas, in distilled water, the results revealed a significant difference (p < 0.0001). These results demonstrated that the ATP test cannot be used as an alternative tool for presumptive assessment of the presence of microorganisms in water. |
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 % |
|---|---|---|
| Venezuela, Bolivarian Republic of | 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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 66 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 14% |
| Student > Bachelor | 9 | 14% |
| Student > Ph. D. Student | 7 | 11% |
| Researcher | 4 | 6% |
| Other | 4 | 6% |
| Other | 5 | 8% |
| Unknown | 28 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 8 | 12% |
| Engineering | 5 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 6% |
| Nursing and Health Professions | 4 | 6% |
| Chemistry | 4 | 6% |
| Other | 11 | 17% |
| Unknown | 30 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 27 January 2022.
All research outputs
#2,793,886
of 23,001,641 outputs
Outputs from BMC Infectious Diseases
#870
of 7,719 outputs
Outputs of similar age
#53,444
of 314,504 outputs
Outputs of similar age from BMC Infectious Diseases
#21
of 186 outputs
Altmetric has tracked 23,001,641 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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We're also able to compare this research output to 186 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.