Polyethylene glycol (PEG) methods are superior to acidification for secondary concentration of Adenovirus and MS2 in water
Bibliographic record
Abstract
ABSTRACT Enteric viruses are a leading cause of waterborne illness worldwide and surveillance studies lack standardization in method selection. The most common and cost-effective approach to concentrating viruses from water samples involves virus adsorption and elution (VIRADEL) procedures, followed by secondary concentration. There is a lack of consistency in how secondary concentration methods are practiced and some methods may have better recovery for particular groups of viruses. Secondary concentration methods typically involve precipitation and the most common methods employ organic flocculation (OF) by acidification at a pH of 3.5, or precipitation by polyethylene glycol (PEG) in combination with the addition of NaCl. In this study, the recovery of coliphage MS2 using the plaque assay and human adenovirus strain 41 (HAdV41) using cell-culture and qPCR assays were evaluated by OF and PEG secondary concentration of spiked samples of wastewater, surface water, and groundwater. The recovery of MS2 and HAdV41 by PEG precipitation was significantly higher than that by OF ( p <0.0001) when viruses were detected by culture based methods and marginally better when HAdV41 was enumerated by qPCR ( p <0.019). The recovery of HAdV41 by qPCR ranged from 75.3% to 94.4% ( n =36). The mean recovery of MS2 by OF was 4.4% (0.9%-7.7%; n =14) and ranged from 57.1% to 87.9% ( n =28) for the PEG methods. The poor recovery of MS2 by OF was attributed to inactivation or poor stability at acidic conditions as MS2 were not recovered in the supernatant following OF and centrifugation. The inconsistency and lack of justification for method selection in many studies calls for a systematic study to inform guidance and standardization with respect to the application of concentration methods for various water types and viral pathogens. IMPORTANCE MS2 should not be used as a process control for methods involving acidification and culture-based detection. The dense floc produced by the PEG method may have contributed to higher recoveries as the pellet was more compact and stable than the loose pellet formed by OF. Standard methods for the detection of enteric viruses and surrogates that involve acidification could be modified with PEG precipitation to uphold virus recovery and minimize inactivation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".