Principal component analysis reveals microbial biomass carbon as an effective bioindicator of health status of petroleum-polluted agricultural soil
Autor: | Chukwudi O. Onwosi, Chinwe J. Aneke, Victor C. Igbokwe, Ifeanyichukwu E. Eke, Tochukwu Nwamaka Nwagu, Florence O. Nduka, Joyce N. Odimba |
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Rok vydání: | 2019 |
Předmět: |
Soil test
Health Status 0208 environmental biotechnology 02 engineering and technology 010501 environmental sciences complex mixtures 01 natural sciences Soil chemistry.chemical_compound Biomonitoring Soil Pollutants Environmental Chemistry Biomass Waste Management and Disposal Soil Microbiology 0105 earth and related environmental sciences Water Science and Technology Principal Component Analysis Environmental Biomarkers business.industry General Medicine Carbon Hydrocarbons 020801 environmental engineering Biodegradation Environmental Petroleum chemistry Agriculture Environmental chemistry Principal component analysis Environmental science Total petroleum hydrocarbon Ecotoxicity business Bioindicator |
Zdroj: | Environmental Technology. 41:3178-3190 |
ISSN: | 1479-487X 0959-3330 |
DOI: | 10.1080/09593330.2019.1603252 |
Popis: | We investigated a number of microbiological activities in the soil to serve as biomonitoring tools in assessing the ecotoxicity of diesel-contaminated soil samples during the different periods of bioremediation. Sawdust was used as the biostimulant for the biodegradation of artificial diesel-polluted soil samples. Soil microbial population, soil microbial enzymatic activities (catalase, lipase, dehydrogenase, urease, phosphatase and β-glucosidase), soil microbial biomass carbon (MBC), nitrogen (MBN) and phosphorus (MBP), soil microbial respirometric index and total petroleum hydrocarbon (TPH) concentration were monitored to evaluate the efficiency of the bioremediation process. After a period of 56 d, total petroleum hydrocarbon content reduced from 14,221 to 270 mg/kg. The parameter estimation using the nth-order kinetic model revealed that the first-order rate constants ( |
Databáze: | OpenAIRE |
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