MethodsX (Jun 2024)

Solid-liquid distribution of SARS-CoV-2 in primary effluent of a wastewater treatment plant

  • Femi F. Oloye,
  • Yuwei Xie,
  • Mohsen Asadi,
  • Jonathan K. Challis,
  • Charles A. Osunla,
  • Pu Xia,
  • Jenna Cantin,
  • Oluwabunmi P. Femi-Oloye,
  • Markus Brinkmann,
  • Kerry N. McPhedran,
  • Mike Sadowski,
  • Sudhir Pandey,
  • Paul D. Jones,
  • Chand Mangat,
  • Mark R. Servos,
  • John P. Giesy

Journal volume & issue
Vol. 12
p. 102645

Abstract

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Distributions of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) and fecal viral biomarkers between solid and liquid phases of wastewater are largely unknown. Herein, distributions of SARS-CoV-2, Pepper Mild Mottle Virus (PMMoV), and F-RNA bacteriophage group II (FRNAPH-II) were determined by viral RNA RT-qPCR. Comparison of viral recovery using three conventional fractionation methods included membrane filtration, a combination of mid-speed centrifugation and membrane filtration, and high-speed centrifugation. SARS-CoV-2 partitioned to the solids fraction in greater abundance compared to liquid fractions in a combination of mid-speed centrifugation and membrane filtration and high-speed centrifugation, but not in membrane filtration method in a particular assay, while fecal biomarkers (PMMoV and FRNAPH-II) exhibited the reciprocal relationship. The wastewater fractionation method had minimal effects on the solids-liquids distribution for all viral and phage markers tested; however, viral RNA load was significantly greater in solid–liquid fractions viral RNA loads compared with the than whole-wastewater PEG precipitation. A RNeasy PowerWater Kit with PCR inhibitor removal resulted in greater viral RNA loads and lesser PCR inhibition compared to a QIAamp Viral RNA Mini Kit without PCR inhibitor removal. These results support the development of improved methods and interpretation of WBE of SARS-CoV-2. • Distribution of SARS-CoV-2 to liquid and solid portions was addressed. • Addressing PCR inhibition is important in wastewater-based epidemiology. • Fraction methods have minimal effect.

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