Layered Graphene Oxide Biosensor for Real-Time Impedance Detection

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Solution Overview

Problem

Existing biosensors face challenges in accurately, efficiently, and cost-effectively detecting biomarkers due to issues with stability, antibody binding efficiency, and impedance measurement accuracy, necessitating improved methods and devices for real-time data capture.

Innovation Solution

A biosensor apparatus comprising a layered receptor with graphene oxide, carbon nanotubes, and biomarker binding layers, utilizing electrochemical impedance spectroscopy to measure biomarker binding events through impedance changes, with optional additional electrodes for enhanced resolution and spatial accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional biosensors are used for biomarker detection, then the device structure is simple, but the sensitivity and measurement precision are insufficient

Engineering Contradiction:
Improvebiomarker detection accuracyVSAvoidsensor structure complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent employs a composite electrode structure combining carbon nanotubes (CNT) as the base electrode material with graphene oxide (GO) as the coating layer. This composite configuration leverages the high electrical conductivity and large surface area of CNTs while utilizing the high sensitivity and biocompatibility of GO, thereby achieving enhanced measurement precision for biomarker detection without excessive structural complexity

Inventive Principle:
Principle #40Composite materials

Solution Approach 2:

The patent introduces a layered two-dimensional structure by coating graphene oxide onto the carbon nanotube electrode surface. This dimensional approach creates a hierarchical architecture where the 3D CNT network provides structural framework and the 2D GO layers provide sensitive detection surfaces, multiplying the effective detection area and improving biomarker detection accuracy

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Measurement precision

If graphene-based materials are integrated into biosensors, then the sensitivity is improved, but the stability of materials deteriorates

Engineering Contradiction:
Improvedetection sensitivityVSAvoidmaterial stability
Core Design Contradiction:
Measurement precisionVSStability of the object's composition

Solution Approach 1:

The patent creates a stable composite by combining graphene oxide with carbon nanotubes, where the robust 3D CNT framework provides structural stability and mechanical strength, while the GO coating layers maintain high sensitivity. The CNTs act as a stable scaffold that prevents aggregation and degradation of the graphene oxide, thereby resolving the stability issue inherent in standalone graphene-based materials

Inventive Principle:
Principle #40Composite materials

Solution Approach 2:

The patent uses carbon nanotubes as an intermediary substrate between the electrode and the graphene oxide coating. The CNTs serve as a stable intermediate layer that anchors the GO sheets, preventing their detachment and maintaining structural integrity while allowing the GO to maintain its sensitive detection properties

Inventive Principle:
Principle #24Intermediary (Mediator)

3Measurement precision

If antibody binding layers are added to detect biomarkers, then the selectivity is improved, but the device complexity increases

Engineering Contradiction:
Improvebiomarker detection selectivityVSAvoidlayered structure complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent pre-functionalizes the graphene oxide surface with specific antibodies or biomarker-binding molecules during the manufacturing process. This preliminary action creates a ready-to-use sensing surface that requires minimal additional processing during operation, achieving high selectivity while keeping the operational complexity low. The antibody binding layers are integrated into the GO structure itself rather than being separate components

Inventive Principle:
Principle #10Preliminary action

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Provides accurate, real-time detection of biomarkers with improved sensitivity and selectivity, enabling continuous monitoring and precise quantification of biomarker levels for disease diagnosis and management.

Implementation Method 1

detecting events comprising the targeted biomarker binding with the biomarker binding layer by measuring changes in impedance to a plurality of frequencies of an alternating current voltage signal applied through a patient's body fluid between the working electrode and the reference electrode

Methodology Applied
Scientific EffectElectrochemical impedance spectroscopy: Electrical Impedance Tomography

Implementation Method 2

a biomarker binding layer configured to bind with a targeted biomarker

Methodology Applied
Scientific EffectAntibody-antigen binding: Adsorption

Data Source

PatentUS12601736B2Biomarker detection using layered receptor and electrode configuration
Publication Date: 2026.04.14 MINDMEND BIOTECH LLC
  • US12601736B2 patent drawing
  • US12601736B2 patent drawing
  • US12601736B2 patent drawing

AI summary

Herein disclosed is configuring a layered receptor with at least one layer comprising graphene oxide and an biomarker binding layer configured to bind with a targeted biomarker, connecting a working electrode comprising carbon nanotubes (CNT) and a reference electrode to the layered receptor, and detecting events comprising the targeted biomarker binding layer with the biomarker binding layer, by measuring changes in impedance to a plurality of frequencies of an alternating current voltage signal applied through a patient's body fluid between the working electrode and the reference electrode. The layered receptor may further comprise a plurality of self-assembled layers, comprising, in sequence, a layer abutting the CNT and comprising a polymer and metal nanoparticles, a layer comprising an organosulfur, the graphene oxide layer and the biomarker binding layer. The biomarker binding layer may comprise Syn-211, LB509 or 5G4. The targeted biomarker may be alpha-synuclein. An implementation may report biomarker concentrations in real-time based on detected binding events.