IP Library Granted Patent US 12,529,673
Granted Patent B2
US 12,529,673 · App. 16/429,886 · Granted Jan 20, 2026

Compositions and methods for improved calibration accuracy of creatinine/creatine sensors and uses thereof

Inventors: Xiaoxian Xu (Maynard, MA); Prasad Pamidi (Burlington, MA); David Raimondi (Bedford, MA); Miklos Erdosy (Groton, MA)
Assignee: Instrumentation Laboratory Company
G01N27/3275B01D69/12C12Q1/002C12Q1/003C12Q1/005C12Q1/54G01N27/308G01N27/3272G01N27/3276G01N27/3335G01N33/5308G01N33/70G01N33/96G06F17/18G16B25/30G16H10/40C12Q1/58G01N27/3274G01N33/5438G06F30/331
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,529,673
App. No.
16/429,886
Granted
Jan 20, 2026
Kind
B2
Abstract

Techniques includes measuring, using a creatine sensor, a creatine sensor current signal (ΔI2) of a first calibration solution (CS2). A creatine sensor sensitivity (Slope) for the creatine sensor is based on the creatine sensor current signal (ΔI2). The first calibration solution (CS2) has a known concentration of creatine (CR_CS2), a known concentration of creatinine (CREA_CS2), and a stable ratio of creatine to creatinine over a range of temperatures for a predefined shelf-life of the first calibration solution (CS2). The Techniques include measuring, using the creatine sensor, a measured creatine concentration (MCR_CS3) of a second calibration solution (CS3). The second calibration solution (CS3) has an initial known creatine concentration (CR_CS3), an initial known creatinine concentration (CREA_CS3), and an unstable ratio of creatine to creatinine that changes over the predefined shelf-life. Concentrations of creatine and creatinine in a sample are thereafter estimated.

Claims (63)

1 . A method comprising:

measuring, using a creatine sensor, a creatine sensor current signal (ΔI2) of a first calibration solution (CS2), where a creatine sensor sensitivity (Slope) for the creatine sensor is based on the creatine sensor current signal (ΔI2), where the first calibration solution (CS2) has a known concentration of creatine (CR_CS2), a known concentration of creatinine (CREA_CS2), and a stable ratio of creatine to creatinine over a range of temperatures for a predefined shelf-life of the first calibration solution (CS2), and where the creatine sensor comprises a diffusion membrane over an enzyme layer and is configured to generate the creatine sensor current signal (ΔI2) based on creatine entering the enzyme through the diffusion membrane;

measuring, using the creatine sensor, a creatine concentration (MCR_CS3) of a second calibration solution (CS3), where the second calibration solution (CS3) has an initial known creatine concentration (CR_CS3), an initial known creatinine concentration (CREA_CS3), and an unstable ratio of creatine to creatinine that changes over the predefined shelf-life;

comparing, using equal molar conversion, MCR_CS3 of CS3 to CR_CS3 to obtain a creatine concentration correction factor that corresponds to a difference between the MCR_CS3 and CR_CS3 caused by decay of the creatine concentration over time;

measuring, using a creatinine sensor: a creatinine sensor current signal (ΔI2′) of CS2 and a creatinine sensor current signal (ΔI3′) of CS3, where the creatinine sensor comprises a diffusion membrane over an enzyme layer and is configured to generate the creatinine sensor current signal (ΔI2′) based on creatinine entering the enzyme through the diffusion membrane;

obtaining a creatinine concentration of CS3 (MCREA_CS3);

determining a first creatinine sensor sensitivity (Slope1) based on at least some of the measurements obtained by the measuring performed using the creatinine sensor;

determining a second creatinine sensor sensitivity (Slope2) based on at least some of the measurements obtained by the measuring performed using the creatinine sensor;

adjusting Slope1 and Slope2 for the creatinine sensor based on the creatine concentration correction factor;

estimating a creatinine concentration in a sample based on a sensor current signal of the sample from the creatinine sensor, the Slope1 as adjusted, and the Slope2 as adjusted; and

estimating a creatine concentration in the sample based on a sensor current signal of the sample from the creatine sensor and the Slope.

2 . The method of claim 1 , wherein the Slope=ΔI2/CR_CS2.

3 . The method of claim 1 , wherein the

Slope1=(MCR_CS3*ΔI2′−CR_CS2*ΔI3′)/(CREA_CS2*MCR_CS3−MCREA_CS3*CR_CS2.

4 . The method of claim 1 , wherein the

Slope2=(CREA_CS2*ΔI3′−MCREA_CS3*ΔI2′)/(CREA_CS2*MCR_CS3-MCREA_CS3*CR CS2).

5 . The method of claim 1 , wherein the stable ratio of creatine to creatinine in the CS2 is 1.5 to 2.

6 . The method of claim 1 , wherein the CS2 includes about 2-5 mg/dL (milligrams per deciliter) of creatine and about 1-3 mg/dL of creatinine.

7 . The method of claim 6 , wherein the stable ratio of creatine to creatinine in the CS2 is 1.5 to 2.

8 . The method of claim 7 , wherein the stable ratio of creatine to creatinine in the CS2 is stable for a minimum of 8 months.

9 . The method of claim 1 , wherein the CS3 includes between 2 and 8 mg/dL (milligrams per deciliter) of creatine and between 0 and 1 mg/dL of creatinine.

10 . The method of claim 9 , wherein the unstable ratio of creatine to creatinine in (milligrams per deciliter) CS3 is 4 to 70.

11 . The method of claim 1 , further comprising:

adjusting the estimate of the creatine concentration in the sample using the creatine concentration correction factor.

12 . The method of claim 1 , wherein the CS2 is different from the CS3.

13 . A method, comprising:

measuring, using a creatine sensor, a creatine sensor current signal (ΔI2) of a first calibration solution (CS2), where a creatine sensor sensitivity (Slope) for the creatine sensor being is based on the creatine sensor current signal (ΔI2), where the first calibration solution (CS2) has a known concentration of creatine (CR_CS2), a known concentration of creatinine (CREA_CS2), and a stable ratio of creatine to creatinine over a range of temperatures for a predefined shelf-life of the first calibration solution (CS2), and where the creatine sensor comprises a diffusion membrane over an enzyme layer and is configured to generate the creatine sensor current signal (ΔI2) based on creatine entering the enzyme through the diffusion membrane;

measuring, using a creatinine sensor, a creatinine sensor current signal (ΔI2′) of the first calibration solution (CS2) and a creatinine sensor current signal (ΔI3′) of a second calibration solution (CS3), where the second calibration solution (CS3) has an initial known creatine concentration (CR_CS3), an initial known creatinine concentration (CREA_CS3), and an unstable ratio of creatine to creatinine that changes over the predefined shelf-life, wherein and where the creatinine sensor comprises a diffusion membrane over an enzyme layer and is configured to generate the creatinine sensor current signal (ΔI2′) based on creatinine entering the enzyme through the diffusion membrane;

determining a first creatinine sensor sensitivity (Slope1) based on at least some of measurements obtained by the measuring performed using the creatinine sensor;

determining a second creatinine sensor sensitivity (Slope2) based on at least some of the measurements obtained by the measuring performed using the creatinine sensor;

measuring, using the creatine sensor, a creatine concentration of a first correction solution (COR1) having a known creatine concentration (CR_COR1), a known creatinine concentration (CREA_COR1), and a stable ratio of creatine to creatinine;

measuring, using the creatinine sensor, a creatinine concentration of the first correction solution (COR1);

comparing, using equal molar conversion, the creatine concentration measured by the creatine sensor to the known creatine concentration (CR_COR1) of the first correction solution and comparing, using equal molar conversion, the creatinine concentration measured by the creatinine sensor to the known creatinine concentration (CREA_COR1) of the first correction solution to determine, respectively, a creatine concentration correction factor and a creatinine concentration correction factor;

adjusting Slope1 and Slope2 for the creatinine sensor based on the creatine concentration correction factor; and

estimating a creatinine concentration in a sample based on values of the Slope, the Slope1 as adjusted, the Slope2 as adjusted, the creatine concentration correction factor, the creatinine concentration correction factor, the creatine sensor current signal (ΔI2), and the creatinine sensor current signal (ΔI2′).

14 . The method of claim 13 , wherein the COR1 comprises a concentration of creatine between 0 and 2 mg/dL and a concentration of creatinine between 1 and 3 mg/dL (milligrams per deciliter).

15 . The method of claim 13 , further comprising:

measuring, using the creatine sensor, a creatine concentration of a second correction solution (COR2) having a known creatine concentration (CR_COR2) and a known creatinine concentration (CREA_COR2), wherein the second correction solution (COR2) has a stable ratio of creatine to creatinine; and

measuring, using the creatinine sensor, a creatinine concentration (CREA_COR2) of the COR2.

16 . The method of claim 15 , wherein the Slope1=(CR_CS3*ΔI2′−CR_CS2*ΔI3′)/(CREA_CS2*CR_CS3-CREA_CS3*CR_CS2).

17 . The method of claim 15 , wherein the

Slope2=(CREA_CS2*ΔI3′−CREA_CS3*ΔI2′)/(CREA_CS2*CR_CS3−CREA_CS3*CR_CS2).

18 . The method of claim 13 wherein the creatine concentration correction factor is used to adjust bias associated with the creatine sensor and the creatinine concentration correction factor is used to adjust bias associated with the creatinine sensor.

19 . A system comprising:

a creatine sensor;

a creatinine sensor;

a first calibration solution (CS2) having a known concentration of creatine (CR_CS2), a known concentration of creatinine (CREA_CS2), and a stable ratio of creatine to creatinine over a range of temperatures for a predefined shelf-life of the first calibration solution (CS2);

a second calibration solution (CS3) having an initial known creatine concentration (CR_CS3), an initial known creatinine concentration (CREA_CS3), and an unstable ratio of creatine to creatinine that changes over the predefined shelf-life;

one or more processing devices in communication with the creatine sensor and the creatinine sensor, the one or more processing devices being configured to execute instructions; and

memory storing the instructions that are executable by the one or more processing devices to perform operations comprising:

obtaining, from the creatine sensor, a creatine sensor current signal (ΔI2) of the first calibration solution (CS2), where a creatine sensor sensitivity (Slope) for the creatine sensor is based on the creatine sensor current signal (ΔI2), and where the creatine sensor comprises a diffusion membrane over an enzyme layer and is configured to generate the creatine sensor current signal (ΔI2) based on creatine entering the enzyme through the diffusion membrane;

obtaining, from the creatine sensor, a creatine concentration (MCR_CS3) of the second calibration solution (CS3);

comparing, using equal molar conversion, the MCR_CS3 of the CS3 to the CR_CS3 to obtain a creatine concentration correction factor that corresponds to a difference between the MCR_CS3 and CR_CS3 caused by decay of the creatine concentration over time;

obtaining, from the creatinine sensor: a creatinine sensor current signal (ΔI2′) of CS2, a creatinine sensor current signal (ΔI3′) of CS3, where the creatinine sensor comprises a diffusion membrane over an enzyme layer and is configured to generate the creatinine sensor current signal (ΔI2′) based on creatinine entering the enzyme through the diffusion membrane;

obtaining a creatinine concentration of CS3 (MCREA_CS3);

determining a first creatinine sensor sensitivity (Slope1) based on at least some measurements obtained from the creatinine sensor;

determining second creatinine sensor sensitivity (Slope2) based on at least some of the measurements obtained from the creatinine sensor;

adjusting Slope1 and Slope2 for the creatinine sensor based on the creatine concentration correction factor;

estimating a creatinine concentration in a sample based on a sensor current signal of the sample from the creatinine sensor, the Slope1 as adjusted, and the Slope2 as adjusted; and

estimating a creatine concentration in the sample based on a sensor current signal of the sample from the creatine sensor, the Slope, and the creatine concentration correction factor.

20 . The system of claim 19 , wherein the

Slope1=(MCR_CS3*ΔI2′-CR_CS2*ΔI3′)/(CREA_CS2*MCR_CS3-MCREA_CS3*CR_CS2); and the

Slope2=(CREA_CS2*ΔI3′-MCREA_CS3*ΔI2′)/(CREA_CS2*MCR_CS3-MCREA_CS3*CR_CS2).

Assignments (3)
CORRECTIVE ASSIGNMENT TO CORRECT THE NAME OF INVENTOR FROM CLARKE XU TO XIAOXIAN XU PREVIOUSLY RECORDED AT REEL: 050372 FRAME: 0703. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. Recorded Mar 31, 2022
From: XU, XIAOXIAN
To: INSTRUMENTATION LABORATORY COMPANY
Reel/Frame 059568/0517 →
CONFIRMATORY ASSIGNMENT Recorded Dec 14, 2021
From: XU, XIAOXIAN
To: INSTRUMENTATION LABORATORY COMPANY
Reel/Frame 058514/0126 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 13, 2019
From: XU, CLARKE; PAMIDI, PRASAD; RAIMONDI, DAVID; ERDOSY, MIKLOS
To: INSTRUMENTATION LABORATORY COMPANY
Reel/Frame 050372/0703 →
Continuity (2)
Provisional Application 62830191 · Apr 5, 2019
Related Publication 20200319210A1 · Oct 8, 2020
References Cited (78)
US 6960466B2 · Pamidi et al. · 2005 [cited by applicant]
US 7632672B2 · Pamidi et al. · 2009 [cited by applicant]
US 7815788B2 · Schaffar et al. · 2010 [cited by applicant]
US 7888061B2 · Kjaer et al. · 2011 [cited by applicant]
US 8426192B2 · Pamidi et al. · 2013 [cited by applicant]
US 9487811B2 · Zhao et al. · 2016 [cited by applicant]
US 11327042B2 · Xu et al. · 2022 [cited by applicant]
US 11874285B2 · Kjaer et al. · 2024 [cited by applicant]
US 20030062262A1 · Mansouri et al. · 2003 [cited by applicant]
US 20040211666A1 · Pamidi et al. · 2004 [cited by applicant]
US 20040256227A1 · Shin et al. · 2004 [cited by applicant]
US 20060275857A1 · Kjaer et al. · 2006 [cited by applicant]
US 20080173064A1 · Schaffar et al. · 2008 [cited by applicant]
US 20120181189A1 · Merchant · 2012 [cited by applicant]
US 20170254771A1 · Balasubramanian et al. · 2017 [cited by applicant]
US 20170260560A1 · Merchant · 2017 [cited by applicant]
US 20170315139A1 · Kjaer · 2017 [cited by examiner]
US 20170363567A1 · Kjaer · 2017 [cited by applicant]
US 20170363568A1 · Hansen et al. · 2017 [cited by applicant]
US 20200319210A1 · Xu et al. · 2020 [cited by applicant]
US 20200319211A1 · Xu et al. · 2020 [cited by applicant]
CN 102608176A · 2012 [cited by applicant]
EP 1753872B1 · 2014 [cited by applicant]
JP S58061459A · 1983 [cited by applicant]
JP S6475000A · 1989 [cited by applicant]
JP 2004506224A · 2004 [cited by applicant]
JP 2007512519A · 2007 [cited by applicant]
JP 2018500547A · 2018 [cited by applicant]
JP 2018500564A · 2018 [cited by applicant]
JP S64075000A · 2018 [cited by applicant]
WO 9821356A1 · 1998 [cited by applicant]
WO 03019171A1 · 2003 [cited by applicant]
WO 2005052596A1 · 2005 [cited by applicant]
WO 2008028011A2 · 2008 [cited by applicant]
WO 2009053370A1 · 2009 [cited by applicant]
WO 2009082699A1 · 2009 [cited by applicant]
WO 2016096725A1 · 2016 [cited by applicant]
WO 2020204974A1 · 2020 [cited by applicant]
Mohabbati-Kalejahi, Elham, et al. “A review on creatinine measurement techniques.” Talanta 97 (2012): 1-8. (Year: 2012). [cited by examiner]
Pundir, C. S., Sandeep Yadav, and Ashok Kumar. “Creatinine sensors.” TrAC Trends in Analytical Chemistry 50 (2013): 42-52. (Year: 2013). [cited by examiner]
International Preliminary Report on Patentability dated Sep. 28, 2021, International Application No. PCT/US2019/035152 filed Jun. 3, 2019 (7 pages). [cited by applicant]
Examiner's Requisition for Canadian Patent Application No. 3,101,513, issued Apr. 4, 2023, (4 pages). [cited by applicant]
Communication pursuant to Article 94(3) EPC for European Patent Application No. 19734962.4, issued Nov. 17, 2022, (4 pages). [cited by applicant]
Notice of Reasons for Rejection for Japanese Patent Application No. 2020-567148, issued Oct. 14, 2021, (with English translation), 5 pages. [cited by applicant]
Nichols et al., The effect of nitric oxide surface flux on the foreign body response to subcutaneous implants, Biomaterials, vol. 33, No. 27, May 20, 2012, pp. 6305-6312. [cited by applicant]
Conway et al., Layer-by-layer design and optimization of xerogel-based amperometric first generation biosensors for uric acid, Journal of Electroanalytical Chemistry, vol. 775, May 25, 2016, pp. 135-145. [cited by applicant]
Tjell et al., Diffusion rate of hydrogen peroxide through water-swelled polyurethane membranes, Sensing and Bio-Sensing Research, vol. 21, No. 27, Nov. 1, 2018, pp. 35-39. [cited by applicant]
Hydrourethane AdvanSource Biomaterials, Advancesource Biomaterials, Jun. 21, 2011 [retrieved on Sep. 19, 2019]. Retrieved from the Internet URL: http://www.advbiomaterials.com/pdf/HydroThane%20Factsheet.pdf. [cited by applicant]
Hydromed D Series, Advancesource Biomaterials, Apr. 16, 2010 [retrieved on Sep. 20, 2019]. Retrieved from the Internet URL: http://www.advbiomaterials.com/products/hydrophilic/HydroMed.pdf. [cited by applicant]
International Search Report and Written Opinion for International Application No. PCT/US2019/035157, mailed on Dec. 12, 2019, 18 pages. [cited by applicant]
International Search Report and Written Opinion for International Application No. PCT/US2019/035153, Nov. 26, 2019, 12 pages. [cited by applicant]
Examiner Requisition for Canadian Patent Application No. 3,101,513, issued Dec. 29, 2021, (5 pages). [cited by applicant]
Notice of Reasons for Rejection for Japanese Patent Application No. 2020-567148, issued Aug. 10, 2021, (with English translation), 7 pages. [cited by applicant]
Office Action in CN Application No. 201980043652.4 dated Mar. 29, 2024 [with English translation], 9 pages. [cited by applicant]
Office Action in CN Application No. 201980045247.6 dated Jan. 16, 2024 [with English translation], 10 pages. [cited by applicant]
Notice of Reasons for Rejection for Japanese Patent Application No. 2020-570732, mailed Jan. 5, 2022, (with English translation), 4 pages. [cited by applicant]
Examiner Requisition for Canadian Patent Application No., 3, 105,011, issued Nov. 19, 2021, 4 pages. [cited by applicant]
International Preliminary Report on Patentability in Application No. PCT/US2019/035155 dated Sep. 28, 2021, 11 pages. [cited by applicant]
Notice of Reasons for Rejection for Japanese Patent Application No. 2020-570732, mailed Sep. 7, 2021, (with English translation), 7 pages. [cited by applicant]
International Search Report and Written Opinion for International Application No. PCT/US2019/035152, mailed on Nov. 8, 2019, 12 pages. [cited by applicant]
International Search Report and Written Opinion for International Application No. PCT/US2019/035155, mailed on Nov. 14, 2019, 12 pages. [cited by applicant]
International Search Report and Written Opinion for International Application No. PCT/US2019/035156, mailed on Sep. 20, 2019, 12 pages. [cited by applicant]
Decision to grant received for European Patent Application No. 19734962.4, mailed on Jan. 18, 2024, 2 pages. [cited by applicant]
Decision to Grant received for Japanese Patent Application No. 2020-567148, mailed on May 23, 2022, 5 pages (2 pages of English Translation and 3 pages of Original Document). [cited by applicant]
Intention to grant received for European Patent Application No. 19734962.4, mailed on Jun. 12, 2023, 9 pages. [cited by applicant]
International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US19/35153, mailed on Sep. 28, 2021, 6 pages. [cited by applicant]
International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US19/35156, mailed on Sep. 28, 2021, 7 pages. [cited by applicant]
International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US19/35157, mailed on Sep. 28, 2021, 12 pages. [cited by applicant]
Monosik et al., “Application of Electrochemical Biosensors in Clinical Diagnosis”, Journal of clinical laboratory analysis, vol. 26, No. 1, May 15, 2014, pp. 22-34. [cited by applicant]
Notice of Allowance received for Korean Patent Application No. 10-2020-7037324, mailed on Aug. 23, 2023, 6 pages (2 pages of English Translation and 4 pages of Original Document). [cited by applicant]
Office Action Issued in Korea Patent Application No. 10-2020-7037741, Mailed Date Jul. 25, 2024, 7 Pages (4 pages of English Translation and 3 pages of Original Document). [cited by applicant]
Office Action received for Japanese Patent Application No. 2020-567148, mailed on Apr. 28, 2022, 4 pages (2 pages of English Translation and 2 pages of Original Document). [cited by applicant]
Office Action received for Korean Patent Application No. 10-2020-7037324, mailed on Mar. 29, 2023, 4 pages (2 pages of English Translation and 2 pages of Original Document). [cited by applicant]
Office Action received for Korean Patent Application No. 10-2020-7037324, mailed on Sep. 27, 2022, 15 pages (8 pages of English Translation and 7 pages of Original Document). [cited by applicant]
Russo et al., “Charge accumulation in electron cryomicroscopy”, Ultramicroscopy, Microelectron Eng, vol. 187, 2018, pp. 43-49. [cited by applicant]
Notice of Acceptance received for Australian Patent Application No. 2019439465, mailed on Dec. 18, 2024, 3 pages. [cited by applicant]
Office Action dated Mar. 25, 2025 for KR Application No. 10-2020-7037741 (13 pgs). [cited by applicant]
Office Action received for Korean Patent Application No. 10-2020-7037741, mailed on Mar. 25, 2025, 15 pages (8 pages of English Translation and 7 pages of Original Office Action). [cited by applicant]