title: 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.
authors.affiliation: School of Biotechnology and Key Laboratory of Industrial Biotechnology, Ministry of Education, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China.
authors.forename: Jingwen
authors.initials: J
authors.lastname: Zhou
authors.forename: Zhenghong
authors.initials: Z
authors.lastname: Xu
authors.forename: Shouwen
authors.initials: S
authors.lastname: Chen
mesh_terms: D000241:Adenosine / Q000031:analogs & derivatives* / Q000032:analysis / Q000737:chemistry; D006207:Half-Life; D006863:Hydrogen-Ion Concentration; D008956:Models, Chemical; D016571:Neural Networks, Computer; D013400:Sugar Acids / Q000032:analysis / Q000737:chemistry*; D013696:Temperature; D014874:Water Pollutants, Chemical / Q000032:analysis / Q000737:chemistry*
chemical_list: D013400:Sugar Acids; D014874:Water Pollutants, Chemical; C068295:thuringiensin; D000241:Adenosine