# US 2018/0322247 A1 · Systems, Methods and Computer Readable Storage Media for Analyzing a Sample > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2018/0322247 A1 - Document ID: US20180322247A1 - Status: Published application - Kind: A1 - Application number: 15/901,520 - Filed: 2018-02-21 - Published: 2018-11-08 - Earliest claimed: 2013-01-10 - Assignees: Emory University; Georgia Tech Research Corporation - Applicants: Emory University; Georgia Tech Research Corporation - Inventors: Paul W. Doetsch; Dong Moon Shin; Carlos Sanchez Moreno; William D. Hunt; Georgia Zhuo Chen; Sunil Yalamanchili; Stephen Mobley - Web page: https://patentgrep.com/patent/US20180322247A1 ## CPC - G16B 50/30: Data warehousing; Computing architectures - G01N 33/68: involving proteins, peptides or amino acids {(involving lipoproteins G01N33/92)} - G01N 33/6887: {from muscle, cartilage or connective tissue} - G16B 50/00: ICT programming tools or database systems specially adapted for bioinformatics - G01N 2333/4712: Muscle proteins, e.g. myosin, actin, protein - G16B: BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY - G01N: INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES (measuring or testing apparatus or processes other than immunoassay, involving enzymes or microorganisms C12M, C12Q) ## Abstract Methods, systems, and computer readable storage media relate to processing and analyzing a sample to determine presence or concentration of at least one sensor target in a sample. A method of quantifying a sample using a sensor may include obtaining sensor data, the sensor data including in-situ calibration data from a housekeeping protein; analyzing the sensor data; and outputting results of the analyzing. The method may be used with a system that includes a sensing device and a module. The system may also include an analysis device that can be in communication with the sensing device. ## Claims ### Claim 1 A method comprising: flowing a biological sample through a sensor unit sensor unit comprising one or more piezoelectric sensors having fixed biomolecules with binding sites for at least one biomarker; obtaining sensor data from the sensor unit using a sensing device in communication with the sensor unit, the sensor data corresponding to a resonant frequency of the one or more piezoelectric sensors over time; analyzing the sensor data to determine at least one of a presence or a concentration of at least one biomarker in the biological sample, the analyzing step using an analysis device in communication with the sensing device and including one or more processors, wherein the analyzing step comprises: receiving the sensor data from the sensing device; extracting one or more data features corresponding to one or more resonance frequency shifts over a period of time, the resonance frequency shifts representative of piezoelectric changes caused by binding of the at least one biomarker within the biological sample to the fixed biomolecules; and outputting, based on the one or more data features, classification information about the biological sample, the classification information comprising results representative of at least one of the presence or concentration of the at least one target biomarker. ### Claim 2 (depends on 1) The method of claim 1, wherein the sample is a blood sample from a subject and the housekeeping protein is β-Actin. ### Claim 3 A sensor unit configured to be used with a sensing device that is configured to analyze a sample, the module comprising: a chip including at least one sensor target to be tested; at least one fluid connector configured for fluid communication with a sensing device; and a connector configured to connect the module to a sensing device. ### Claim 4 (depends on 3) The module of claim 3, wherein the connector includes a USB connector. ### Claim 5 (depends on 3) The module of claim 3, further comprising: identification information, the identification information including operation information. ### Claim 6 (depends on 5) The module of claim 5, wherein the identification information includes a bar code. ### Claim 7 (depends on 1) The method of claim 1, wherein the fixed biomolecules include one or more antibodies. ### Claim 8 A system configured to analyze a biological sample, comprising: (a) a sensor unit comprising one or more piezoelectric sensors having fixed biomolecules with binding sites for at least one target biomarker; (b) a sensing device in communication with the sensor unit, the sensing device configured to obtain sensor data from the sensor unit, the sensor data corresponding to a resonant frequency of the one or more piezoelectric sensors over time; and (c) an analysis device in communication with the sensing device and including one or more processors configured to perform analysis of the data to determine at least one of a presence or concentration of at least one target biomarker in the biological sample, wherein the analysis comprises the steps of: receiving the sensor data from the sensing device; extracting one or more data features corresponding to one or more resonance frequency shifts over a period of time, the resonance frequency shifts representative of piezoelectric changes caused by binding of the at least one target biomarker within the biological sample to the fixed biomolecules; outputting, based on the one or more data features, classification information about the biological sample, the classification information comprising results representative of at least one of the presence or concentration of the at least one target biomarker. ### Claim 9 (depends on 8) The system of claim 8, wherein the analysis further comprises quantifying the concentration of the at least one target biomarker within the biological sample using the sensor data. ### Claim 10 (depends on 8) The system of claim 8, wherein: the module includes identification information; the identification information includes operation information; and the operation information including operation parameters for the sensing device, the analysis to be performed, and/or classification models related to the analysis. ### Claim 11 (depends on 10) The system of claim 10, wherein the sensing device is configured to operate according to the operation information. ### Claim 12 (depends on 8) The system of claim 8, wherein the sensing device includes a characterization board configured to extract the data in substantially real time. ### Claim 13 (depends on 12) The system of claim 12, wherein the data further comprises in-situ calibration data. ### Claim 14 (depends on 8) The system of claim 8, wherein: the connector of the module includes a USB connector. ### Claim 15 (depends on 8) The system of claim 8, wherein the sensor unit comprises a chip including the one or more piezoelectric sensors and the one or more binding sites are one or more antibodies. ### Claim 16 (depends on 8) The system of claim 8, wherein the biological sample is a blood sample from a subject and the at least one target biomarker is a housekeeping protein. ### Claim 17 (depends on 16) The system of claim 16, wherein the housekeeping protein is selected from the group consisting of β-Actin, pAkt, and H2AX. ### Claim 18 (depends on 8) The system of claim 8, wherein sensor device obtains data by flowing the biological sample to the sensor unit and measuring sensor data as the biological sample flows across the piezoelectric sensors. ### Claim 19 (depends on 8) The system of claim 8, wherein the outputting step comprises: inspecting the data for the at least one target biomarker for statistical separation; selecting pattern recognition models for classification of the data into classification models; testing the classification models on the data; and comparing results from the testing to a predetermined classification accuracy to obtain the classification information based on the predetermined classification accuracy.