G
Guodong Liu
Researcher at Harbin Institute of Technology
Publications - 450
Citations - 15321
Guodong Liu is an academic researcher from Harbin Institute of Technology. The author has contributed to research in topics: Biosensor & Cellulase. The author has an hindex of 62, co-authored 402 publications receiving 13002 citations. Previous affiliations of Guodong Liu include Oak Ridge National Laboratory & Pacific Northwest National Laboratory.
Papers
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Ultrasensitive electrical biosensing of proteins and DNA: carbon-nanotube derived amplification of the recognition and transduction events.
TL;DR: A CNT-derived double-step amplification pathway (of both the recognition and transduction events) allows the detection of DNA and proteins down to 1.3 and 160 zmol, respectively, in 25-50 muL samples and indicates great promise for PCR-free DNA analysis.
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Electrochemical coding technology for simultaneous detection of multiple DNA targets.
TL;DR: The protocol is illustrated for the simultaneous detection of three DNA sequences related to the BCRA1 breast-cancer gene in a single sample in connection to magnetic beads bearing the corresponding oligonucleotide probes.
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Biosensor based on self-assembling acetylcholinesterase on carbon nanotubes for flow injection/amperometric detection of organophosphate pesticides and nerve agents.
Guodong Liu,Yuehe Lin +1 more
TL;DR: The developed PDDA/AChE/PDDA/CNT/GC biosensor integrated into a flow injection system was used to monitor organophosphate pesticides and nerve agents, such as paraoxon and had excellent operational lifetime stability with no decrease in the activity of enzymes for more than 20 repeated measurements over a 1-week period.
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Electrochemical sensor for organophosphate pesticides and nerve agents using zirconia nanoparticles as selective sorbents.
Guodong Liu,Yuehe Lin +1 more
TL;DR: The promising stripping voltammetric performances open new opportunities for fast, simple, and sensitive analysis of OPs in environmental and biological samples, and can lead to a widespread use of electrochemical sensors to detect OP contaminates.
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Bidding Strategy for Microgrid in Day-Ahead Market Based on Hybrid Stochastic/Robust Optimization
TL;DR: Numerical simulations on a microgrid consisting of a wind turbine, a photovoltaic panel, a fuel cell, a micro-turbine, a diesel generator, a battery, and a responsive load show the advantage of stochastic optimization, as well as robust optimization.