Systems and methods for detecting a health condition
AssigneeRegents of the University of Minnesota
InventorsGregory J. Sherwood, Justin Theodore Nelson
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Abstract
Embodiments herein include a method for detecting a health condition of a subject. The method can include obtaining a biological sample from the subject and placing it into a container having a headspace surrounding the biological sample. The method can include contacting a gas from the headspace with a chemical sensor element, the chemical sensor element including one or more discrete graphene varactors. The method can include sensing and storing capacitance of the discrete graphene varactors to obtain a sample data set. Other embodiments are also included herein.
Claims20
A method for detecting a health condition of a subject, comprising:
- obtaining a biological sample from the subject and placing it into a container having a headspace surrounding the biological sample;
- contacting a gas from the headspace with a chemical sensor element, the chemical sensor element comprising one or more graphene components;
- and
- sensing and storing capacitance data of the graphene components reflecting a range of bias voltages to obtain a sample data set.
A container for detecting a disease state comprising:
- a housing adapted to contain a biological sample of a subject, the housing defining a headspace comprising a volume of a gas;
- and
- a chemical sensor element in fluid communication with the headspace, the chemical sensor element comprising one or more graphene components.
A method of treating a subject for a disease state comprising:
- obtaining a biological sample from the subject and placing it into a container having a headspace above or around the biological sample;
- contacting a gas from the headspace with a chemical sensor element, the chemical sensor element comprising one or more graphene components;
- sensing and storing capacitance data of the graphene components reflecting a range of bias voltages to obtain a sample data set,
- classifying the sample data set into one or more preestablished disease state classifications, and
- identifying a therapy to treat the subject based on the disease state classification.
Dependencies are inferred from the claim text.