The Predictive Toxicology Evaluation Challenge
Abstract
The paper optimized the parameters of microwave freeze drying (MFD) of crude Ginkgo biloba protein (CPG) using response surface methodology (RSM) based on the analysis of its proximate composition. The results showed that coefficients of determination, R(2) values for drying time and protein solubility were greater than 0.9500. The drying time and protein solubility of CPG varied curvilinearly with increase of microwave power and pre-freeze temperature, and drying time varied linearly with material thickness. The optimum MFD condition was microwave power of 408-421 W, material thickness of 15 mm and pre-freeze temperature of -20°C to -21°C, respectively.
Cite
Text
Srinivasan et al. "The Predictive Toxicology Evaluation Challenge." International Joint Conference on Artificial Intelligence, 1997. doi:10.1016/j.ijbiomac.2012.02.027Markdown
[Srinivasan et al. "The Predictive Toxicology Evaluation Challenge." International Joint Conference on Artificial Intelligence, 1997.](https://mlanthology.org/ijcai/1997/srinivasan1997ijcai-predictive/) doi:10.1016/j.ijbiomac.2012.02.027BibTeX
@inproceedings{srinivasan1997ijcai-predictive,
title = {{The Predictive Toxicology Evaluation Challenge}},
author = {Srinivasan, Ashwin and King, Ross D. and Muggleton, Stephen H. and Sternberg, Michael J. E.},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1997},
pages = {4-9},
doi = {10.1016/j.ijbiomac.2012.02.027},
url = {https://mlanthology.org/ijcai/1997/srinivasan1997ijcai-predictive/}
}