Publications by authors named "Nianhua Chen"
Applying machine learning and genetic algorithms accelerated for optimizing ethanol production.
Sci Total Environ
December 2024
Article Synopsis
- Corn straws can be converted into bioethanol using a process called simultaneous saccharification and co-fermentation (SSCF), but finding the best operating parameters for this process can be tricky.
- Researchers created predictive models using eXtreme Gradient Boost (XGB) and deep neural networks (DNN) that achieved over 83% accuracy in forecasting ethanol yield based on just five input variables.
- They combined these models with genetic algorithms for optimization, leading to improved efficiency and yield in ethanol production, with key factors influencing the process identified as enzyme solution volume, time, substrate concentration, temperature, and inoculum volume.
Data-driven interpretable analysis for polysaccharide yield prediction.
Environ Sci Ecotechnol
May 2024
Article Synopsis
- Cornstalks can be used to produce polysaccharides effectively with the help of an enzyme called xylanase, and accurate prediction of yield can streamline production processes, reducing costs and time.
- The study introduces a machine learning framework that identifies the best methods for predicting polysaccharide yields and determining optimal enzyme conditions, with Random Forest and eXtreme Gradient Boost showing high accuracy rates.
- An analysis of influential factors reveals that the enzyme solution volume significantly impacts yield, and the research highlights the complexity of enzyme interactions, paving the way for improved methodologies in utilizing agricultural waste.
Article Synopsis
- The Migrating Electric Field-Assisted Electrocoagulation (MEAEC) system utilizes waste flour-derived sponge biochar (SBC) as an efficient adsorption electrode for phosphorus removal from wastewater.
- The SBC electrode achieved an impressive phosphate removal level (0.12 mg/L) in just 200 seconds, demonstrating low energy consumption (0.0058 kWh/m) that is significantly lower than traditional methods.
- The system not only enhanced phosphate removal efficiency but also produced phosphorus flocs with fewer metal impurities, making it a cost-effective solution for treating low phosphorus wastewater.
[Construction and identification of helper-dependent adenoviral vector encoding hemagglutinin protein of swin-origin influenza virus A H1N1].
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
February 2014
Article Synopsis
- - The study focused on creating a recombinant adenovirus (HDAd/HA) that encodes the hemagglutinin (HA) protein of the swine-origin influenza virus A H1N1 to explore immune protection against this virus.
- - Researchers synthesized and cloned the HA gene into the HDAd backbone, using 293Cre4 cells and calcium phosphate for transfection, followed by infection with a helper virus for large-scale production of the recombinant adenovirus.
- - The success of constructing HDAd/HA was confirmed through purification techniques and analysis of HA protein expression, setting the stage for future studies on its immunogenicity and effectiveness against A H1N1 infection in live subjects.