Abstract
A sensitive, high-throughput, and cost-effective method for screening bacterial pathogens in the environment was developed. A variety of environmental samples, including aerosols, soil of various types (sand, sand/clay mix, and clay), wastewater, and vegetable surface (modeled by tomato), were concomitantly spiked with Salmonella enterica and/or Pseudomonas aeruginosa to determine recovery rates and limits of detection. The various matrices were first enriched with a general pre-enrichment broth in a dilution series and then enumerated by most probable number (MPN) estimation using quantitative PCR for rapid screening of amplicon presence. Soil and aerosols were then tested in non-spiked environmental samples, as these matrices are prone to large experimental variation. Limit of detection in the various soil types was 1-3 colony-forming units (CFU) g-1; on vegetable surface, 5 CFU per tomato; in treated wastewater, 5 CFU L-1; and in aerosols, >300 CFU mL-1. Our method accurately identified S. enterica in non-spiked environmental soil samples within a day, while traditional methods took 4 to 5 days and required sorting through biochemically and morphologically similar species. Likewise, our method successfully identified P. aeruginosa in non-spiked aerosols generated by a domestic wastewater treatment system. The obtained results suggest that the developed method presents a broad approach for the rapid, efficient, and reliable detection of relatively low densities of pathogenic organisms in challenging environmental samples.
| Original language | English |
|---|---|
| Article number | 303 |
| Journal | Water, Air, and Soil Pollution |
| Volume | 226 |
| Issue number | 9 |
| DOIs | |
| State | Published - 1 Sep 2015 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 6 Clean Water and Sanitation
Keywords
- Aerosol
- Detection
- MPN-qPCR
- Nonspecific enrichment
- Pathogen
- Soil
- Vegetable
- Wastewater
ASJC Scopus subject areas
- Environmental Engineering
- Environmental Chemistry
- Ecological Modelling
- Water Science and Technology
- Pollution
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