Simulation and prediction of the thuringiensin abiotic degradation processes in aqueous solution by a radius basis function neural network model.

Abstract:

:The thuringiensin abiotic degradation processes in aqueous solution under different conditions, with a pH range of 5.0-9.0 and a temperature range of 10-40°C, were systematically investigated by an exponential decay model and a radius basis function (RBF) neural network model, respectively. The half-lives of thuringiensin calculated by the exponential decay model ranged from 2.72 d to 16.19 d under the different conditions mentioned above. Furthermore, an RBF model with accuracy of 0.1 and SPREAD value 5 was employed to model the degradation processes. The results showed that the model could simulate and predict the degradation processes well. Both the half-lives and the prediction data showed that thuringiensin was an easily degradable antibiotic, which could be an important factor in the evaluation of its safety.

journal_name

Chemosphere

journal_title

Chemosphere

authors

Zhou J,Xu Z,Chen S

doi

10.1016/j.chemosphere.2012.11.062

subject

Has Abstract

pub_date

2013-04-01 00:00:00

pages

442-7

issue

4

eissn

0045-6535

issn

1879-1298

pii

S0045-6535(12)01467-1

journal_volume

91

pub_type

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