Comparison of methodologies for enumerating and detecting the viability of Ascaris eggs in sewage sludge by standard incubation-microscopy, the BacLight Live/Dead viability assay and other vital dyes.

Comparison of methodologies for enumerating and detecting the viability of Ascaris eggs in sewage sludge by standard incubation-microscopy, the BacLight Live/Dead viability assay and other vital dyes.

Karkashan, Alaa;Khallaf, Basma;Morris, Jacqueline;Thurbon, Nerida;Rouch, Duncan;Smith, Stephen R;Deighton, Margaret;
Water research 2015 Vol. 68 pp. 533-44
296
karkashan2015comparisonwater

Abstract

The aim of this study was to evaluate the Live/Dead BacLight viability kit as a method for enumerating viable eggs of Ascaris suum in sewage sludge as a surrogate for the human roundworm. The number and viability status of eggs of A. suum were accurately measured directly in sewage sludge samples by the BacLight method, compared to the conventional incubation-microscopy procedure. BacLight stains were not toxic to A. suum eggs, in contrast to some conventional vital dyes which disrupted viable eggs. The method was effective for the direct examination of eggs in heavily contaminated samples or seeded sludge containing ∼200 eggs/g DS in sludge with 5% DS content. However, a recovery method would be necessary to examine samples with small numbers of eggs, for instance in sludge from regions where the prevalence of infection with Ascaris lumbricoides is low. The BacLight technique may therefore be an effective alternative to conventional incubation-microscopy for enumerating Ascaris eggs in contaminated field samples or to validate sludge treatment processes by examining decay rates of inoculated A. suum eggs in laboratory simulations. Most field samples would require recovery from an appropriate number of composite samples prior to vital staining.

Access

Citation

ID: 109775
Ref Key: karkashan2015comparisonwater
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
109775
Unique Identifier:
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet