Cristin-resultat-ID: 1068750
Sist endret: 2. juni 2017, 13:24
NVI-rapporteringsår: 2013
Resultat
Vitenskapelig artikkel
2013

Modeling the die-off of E. coli and Ascaris in wastewater-irrigated vegetables: implications for microbial health risk reduction associated with irrigation cessation

Bidragsytere:
  • Razak Seidu
  • Ingrid Sjølander
  • Amina Abubakari
  • Dennis Amoah
  • John Larbi A og
  • Thor Axel Stenstrøm

Tidsskrift

Water Science and Technology
ISSN 0273-1223
e-ISSN 1996-9732
NVI-nivå 1

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2013
Volum: 68
Hefte: 5
Sider: 1013 - 1021
Open Access

Importkilder

Isi-ID: 000324544800007

Beskrivelse Beskrivelse

Tittel

Modeling the die-off of E. coli and Ascaris in wastewater-irrigated vegetables: implications for microbial health risk reduction associated with irrigation cessation

Sammendrag

This study assessed the die-off of Escherichia coli (E. coli) and Ascaris suum on lettuce (Great Lakes 118) and cabbage (Brassica oleracea var capitata) in wastewater-irrigated fields using comparative mathematical die-off models. The study revealed that none of the survival curves of E. coli and A. suum was best fitted with the log-linear model, indicating that the classical first-order kinetic approach is inadequate in many cases. The biphasic die-off model best described the die-off of E. coli on lettuce (kmax1 = 2.62 day(-1) and kmax2 = 0.22 day(-1)) and cabbage (kmax1 = 1.06 day(-1) and kmax2 = 0.53 day(-1)). The die-off of A. suum on lettuce was best described by the biphasic model (kmax1 = 0.48 day(-1) and kmax2 = 0.01 day(-1)) and best described by log linear + tail (kmax = 0.44) on cabbage. A comparative health risk assessment associated with the consumption of lettuce showed significant underestimation of the number of days of irrigation cessation required to achieve E. coli O157:H7 and Ascaris tolerable annual infection risk when using biphasic die-off rates compared with other die-off rates. The study stresses the need to test different die-off models as inputs for quantitative microbial risk assessment (QMRA) particularly for interventions associated with health risk reduction.

Bidragsytere

Razak Seidu

  • Tilknyttet:
    Forfatter
    ved Realfag og teknologi ved Norges miljø- og biovitenskapelige universitet

Ingrid Sjølander

  • Tilknyttet:
    Forfatter
    ved Realfag og teknologi ved Norges miljø- og biovitenskapelige universitet

Alhassan Abubakari

Bidragsyterens navn vises på dette resultatet som Amina Abubakari
  • Tilknyttet:
    Forfatter
    ved 'Kwame Nkrumah' University of Science and Technology, Kumasi
  • Tilknyttet:
    Forfatter
    ved Realfag og teknologi ved Norges miljø- og biovitenskapelige universitet

Dennis Amoah

  • Tilknyttet:
    Forfatter
    ved 'Kwame Nkrumah' University of Science and Technology, Kumasi

John Larbi A

  • Tilknyttet:
    Forfatter
    ved 'Kwame Nkrumah' University of Science and Technology, Kumasi
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