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A 2D CSIA-based math method to quantify degradation rate by C-H bond breaking.
Feng, Jin-Ru; Ni, Hong-Gang.
Afiliación
  • Feng JR; School of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen, 518055, China.
  • Ni HG; School of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen, 518055, China. nihg@pkusz.edu.cn.
Environ Geochem Health ; 44(8): 2835-2842, 2022 Aug.
Article en En | MEDLINE | ID: mdl-34309790
ABSTRACT
Compound-specific isotope analysis has been demonstrated to be a powerful tool for the assessment of in situ pollutant degradation. Enrichment factor, an essential and prerequisite parameter, could be determined under simulated control laboratory in advance. However, different microbial community composition and substrate availability may significantly affect the accuracy of simulated enrichment factor. Here, a modified mathematic method of two dimensional is proposed to quantify the extent of pollutant degradation involving the break of carbon and hydrogen bond. In this new model, the laboratory cultures used to determine carbon or hydrogen enrichment factors in advance could be canceled and the key point to assess the extent of biodegradation is only determining the value of Λri (dual C-H isotope slope calculated with a self-modified model) in the field investigation. As a new and convenient method, this math model greatly facilitates the investigation of pollutant degradation extent under field conditions. Two approaches are applied to evaluate the proposed model. With our model, the estimated results based on C isotope are consistent with those measured values, while those based on H isotope are unsatisfactory. This can be attributed to the differences in accuracy of C-H isotope determinations. Overall, enrichment factors and biodegradation rates calculated with the proposed model are comparable with those measured figures.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Contaminantes Químicos del Agua Tipo de estudio: Prognostic_studies Idioma: En Revista: Environ Geochem Health Asunto de la revista: QUIMICA / SAUDE AMBIENTAL Año: 2022 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Contaminantes Químicos del Agua Tipo de estudio: Prognostic_studies Idioma: En Revista: Environ Geochem Health Asunto de la revista: QUIMICA / SAUDE AMBIENTAL Año: 2022 Tipo del documento: Article País de afiliación: China