Patents by Inventor Zhenqiang Wang

Zhenqiang Wang has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Devices, Systems and Methods for Use of Electrical Ion Sensors Based on Metal-Organic Supercontainers
    Publication number: 20180031517
    Abstract: The disclosed apparatus, systems and methods relate to the use of metal-organic supercontainers as a size-selective ionophore by incorporation into a substrate for ion sensing electrodes.
    Type: Application
    Filed: July 31, 2017
    Publication date: February 1, 2018
    Inventors: Nathan Netzer, Indrek Must, Yupu Qiao, Zhenqiang Wang, Zhen Zhang, Shi-Li Zhang
  • Modular assembly of metal-organic super-containers incorporating calixarenes
    Patent number: 9868752
    Abstract: A new strategy to design container molecules is presented. Sulfonylcalix[4]arenes, which are synthetic macrocyclic containers, are used as building blocks that are combined with various metal ions and tricarboxylate ligands to construct metal-organic ‘super-containers’ (MOSCs). These MOSCs possess both endo and exo cavities and thus mimic the structure of viruses. The synthesis of MOSCs is highly modular, robust, and predictable.
    Type: Grant
    Filed: April 15, 2013
    Date of Patent: January 16, 2018
    Assignee: South Dakota Board of Regents
    Inventors: Zhenqiang Wang, Feng-Rong Dai
  • MODULAR ASSEMBLY OF METAL-ORGANIC SUPER-CONTAINERS INCORPORATING CALIXARENES
    Publication number: 20170334939
    Abstract: A new strategy to design container molecules is presented. Sulfonylcalix[4]arenes, which are synthetic macrocyclic containers, are used as building blocks that are combined with various metal ions and tricarboxylate ligands to construct metal-organic ‘super-containers’ (MOSCs). These MOSCs possess both endo and exo cavities and thus mimic the structure of viruses. The synthesis of MOSCs is highly modular, robust, and predictable.
    Type: Application
    Filed: August 1, 2017
    Publication date: November 23, 2017
    Inventors: Zhenqiang Wang, Feng-Rong Dai