Functionalized Graphene Oxide Sensor for VOC Detection

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Solution Overview

Problem

Current chemical sensing devices, particularly those using graphene, face challenges in sensitivity and cost due to high functionalizing costs and difficulty in building a diverse sensing material library, limiting their effectiveness in detecting volatile and non-volatile chemical compounds, especially in complex mixtures like exhaled breath.

Innovation Solution

The development of functionalized graphene oxide sensors with carbodiimide crosslinker chemistry and reduction methods to create chemically sensitive arrays that utilize pattern recognition algorithms like artificial neural networks and principal component analysis for detecting and quantifying specific chemical compounds, enabling sensitive and cost-effective detection of volatile and non-volatile chemicals.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If graphene is used as sensing material for high sensitivity detection, then detection sensitivity is improved, but functionalizing cost and device complexity increase

Engineering Contradiction:
Improvedetection sensitivityVSAvoidfunctionalizing cost
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent divides the sensing system into multiple independent sensor elements, each functionalized with different materials (metal oxides, conductive polymers, semiconductors, carbon-based materials) to detect specific analytes. This segmentation allows each sensor to be optimized independently while maintaining overall system sensitivity, reducing the complexity of functionalizing a single graphene sensor for all detections.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent creates a universal sensing platform where a single graphene-based sensor can detect multiple types of chemical analytes (volatile and non-volatile compounds) by incorporating diverse sensing materials. This multi-functionality eliminates the need for multiple specialized sensors, reducing functionalizing costs while maintaining high detection sensitivity across different analyte types.

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Measurement precision

If lock-and-key approach is used for specific analyte detection, then detection specificity is improved, but sensor versatility deteriorates

Engineering Contradiction:
Improvedetection specificityVSAvoidsensor versatility
Core Design Contradiction:
Measurement precisionVSAdaptability or versatility

Solution Approach 1:

The patent merges multiple sensing mechanisms (electrical properties and optical properties) and multiple sensing materials (metal oxides, conductive polymers, semiconductors, carbon-based materials) into a single sensor array system. This combination allows the system to maintain high specificity for individual analytes while achieving versatility across diverse chemical compounds through pattern recognition analysis.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent introduces pattern recognition algorithms as an intermediary between the sensor array and analyte identification. This mediator analyzes the collective response patterns from multiple cross-reactive sensors to achieve specific analyte detection, allowing a single sensor to serve multiple detection purposes while maintaining high specificity through computational analysis.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Measurement precision

If GC-MS is used for breath analysis, then detection accuracy is improved, but time consumption and operational complexity increase

Engineering Contradiction:
Improvedetection accuracyVSAvoidtime consumption
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent replaces the complex mechanical and chemical separation system of GC-MS with an electronic sensor array system that directly detects volatile organic compounds in breath. This substitution eliminates time-consuming sample pretreatment and separation steps while maintaining high detection accuracy through the use of multiple sensing materials and pattern recognition algorithms.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent creates a simplified copy of the GC-MS detection capability using electronic sensors that mimic the separation and detection functions. Instead of physically separating and analyzing compounds through chromatography and mass spectrometry, the sensor array captures the characteristic response patterns of different VOCs, achieving comparable accuracy with significantly reduced time and operational complexity.

Inventive Principle:
Principle #26Copying

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

The functionalized graphene oxide sensors demonstrate high sensitivity and stability in detecting chemical compounds at low concentrations, allowing for effective identification and discrimination of VOCs, including biomarkers for diseases, with potential applications in clinical diagnostics and environmental monitoring.

Implementation Method 1

The chemiresistive sensing device detected the chemical analyte based on the electrical resistance change of the sensor materials upon the exposure to a target chemical

Methodology Applied
Scientific EffectChemiresistive sensing: Electrical Resistance

Implementation Method 2

The procedure of building the library of functionalized reduced graphene oxide (rGO) and a graphene-based electronic nose

Methodology Applied
Scientific EffectReduction: Reduction

Data Source

PatentUS11933753B2Chemical sensing device
Publication Date: 2024.03.19 QI DIAGNOSTICS LTD
  • US11933753B2 patent drawing
  • US11933753B2 patent drawing
  • US11933753B2 patent drawing

AI summary

The present application describes a sensor apparatus based on chemically functionalized graphene as the sensing materials. The sensing materials is modified from graphene oxide with unique chemical process to form a group of graphene derivatives, e.g. butylamine, hexylamine, decylamine, dodecylamine, benzylamine etc., to detect volatile and non-volatile compounds, e.g. toluene, ethylacetate, ethanol, acetone, hexane etc. with high sensitivity. Pattern recognition algorithms and methods, e.g. PCA, are coupled with the sensors for detecting and quantifying specific chemical compounds. Methods of using the sensor apparatus in applications such as diagnosis of disease and food quality control are disclosed.