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Improving wastewater-based epidemiology performance through streamlined automation.

Mohammad Dehghan Banadaki1, Soroosh Torabi1, William D Strike2

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|March 6, 2023
PubMed
Summary
This summary is machine-generated.

An automated wastewater-based epidemiology workflow simplifies SARS-CoV-2 monitoring. This faster, cheaper method improves RNA recovery and sensitivity for public health surveillance.

Keywords:
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Area of Science:

  • Environmental science
  • Public health
  • Molecular biology

Background:

  • Wastewater-based epidemiology (WBE) tracks infectious diseases like COVID-19.
  • Current WBE methods require expert staff, costly equipment, and long processing times.
  • Scaling WBE globally necessitates simpler, faster, and more affordable techniques.

Purpose of the Study:

  • To develop and validate an automated workflow for wastewater-based SARS-CoV-2 monitoring.
  • To reduce the cost, time, and complexity of WBE sample processing.
  • To enhance the analytical sensitivity and precision of WBE.

Main Methods:

  • Developed an automated workflow using exclusion-based sample preparation (ESP).
  • Integrated concentration and extraction steps into a streamlined, automated process.
  • Quantified viral RNA using RT-qPCR and compared results with manual WBE methods.

Main Results:

  • The automated workflow processed raw wastewater to purified RNA in 40 minutes.
  • The assay cost was reduced to $6.50 per sample, significantly lower than manual methods.
  • Achieved higher RNA recovery (84.5% ± 25.4%) and improved Limit of Detection (40 copies/mL vs. 206 copies/mL).
  • Automated method demonstrated higher precision and strong correlation (r=0.953) with manual processing.

Conclusions:

  • The automated ESP workflow offers a faster, cheaper, and more sensitive approach to WBE.
  • This method can facilitate the expansion of WBE for COVID-19 and other public health threats.
  • Automation addresses limitations of manual WBE, enabling broader implementation.