Automated Sample Prep for Metabolite Quantification

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Solution Overview

Problem

Current methods for metabolite detection and quantification in biological samples are complex and lack accuracy and precision, particularly in clinical settings, due to variability in sample handling and system calibration, making it challenging to reliably extract and identify metabolite biomarkers for disease diagnosis.

Innovation Solution

An automated sample preparation and analysis system integrating a liquid handling arm, plate handler, code reader, cooler block, heater shaker unit, centrifuge, and mass spectrometry-based subsystem, controlled by scripts for coordinated operation, enabling efficient and accurate quantification of metabolites in biological samples like blood, serum, or plasma.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If automated sample preparation system is implemented, then measurement precision and reliability are improved, but device complexity increases

Engineering Contradiction:
Improvemetabolite quantification accuracyVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system is divided into distinct functional modules: liquid handling arm for sample transfer, plate handler for positioning, cooler block for temperature control, heater shaker unit for mixing, centrifuge for separation, and mass spectrometry subsystem for analysis. Each module performs a specific function, allowing the complex overall system to be managed through modular components that can be independently optimized and maintained.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The automated system performs sample preparation, processing, and analysis without requiring manual intervention. Scripts control the coordinated operation of multiple components, enabling the system to self-regulate and maintain consistent protocols. This automation eliminates human variability in sample handling while managing the complexity through programmed control sequences.

Inventive Principle:
Principle #25Self-service

2Productivity

If high-throughput analysis is performed, then productivity is improved, but measurement precision may deteriorate

Engineering Contradiction:
Improvesample throughputVSAvoidmetabolite detection accuracy
Core Design Contradiction:
ProductivityVSMeasurement precision

Solution Approach 1:

The system maintains continuous automated processing of multiple samples through coordinated operation of all subsystems. The liquid handling arm continuously transfers samples, the plate handler continuously positions plates, and the mass spectrometry subsystem continuously analyzes metabolites. This continuous automated operation ensures consistent precision across high throughput by eliminating interruptions and human variability.

Inventive Principle:
Principle #20Continuity of useful action

Solution Approach 2:

The system incorporates quality control samples and calibration standards that provide feedback on measurement accuracy. The mass spectrometry subsystem receives feedback data that can be used to adjust analysis parameters, ensuring that high-throughput processing maintains the required precision and accuracy for clinical diagnostic applications.

Inventive Principle:
Principle #23Feedback

3Reliability

If standardized protocols are enforced, then reliability is improved, but adaptability deteriorates

Engineering Contradiction:
Improvediagnostic consistencyVSAvoidprotocol flexibility
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The system uses programmable control scripts that can be dynamically adjusted based on specific analytical requirements. While the hardware is configured for standardized protocols to ensure reliability, the software control layer allows adaptation to different metabolite panels, sample types, and diagnostic protocols. This dynamic control enables the system to maintain standardized execution of protocols while adapting to different clinical needs.

Inventive Principle:
Principle #15Dynamics

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 system provides high-throughput, accurate, and precise detection and quantification of metabolite biomarkers, maintaining sensitivity and specificity, thus enhancing the reliability of metabolite-based diagnostics in clinical settings.

Implementation Method 1

a liquid handling arm for at least one channel air displacement pipette

Methodology Applied
Scientific EffectAir displacement pipetting:

Implementation Method 2

a cooler block shaped and sized to hold the at least one sample

Methodology Applied
Scientific EffectThermal cooling: Cooling

Implementation Method 3

a heater shaker unit

Methodology Applied
Scientific EffectThermal heating: Heating

Implementation Method 4

a heater shaker unit

Methodology Applied
Scientific EffectVibration: Vibration

Implementation Method 5

a centrifuge

Methodology Applied
Scientific EffectCentrifugal separation: Centrifugal Separation

Implementation Method 6

mass spectrometry-based analytical methods featuring efficient system calibration and sample analysis that provide for accurate quantification

Methodology Applied
Scientific EffectMass spectrometry:

Implementation Method 7

mass spectrometry identifies and quantifies metabolites after they have been separated from the mixture, e.g., via high performance liquid chromatography (HPLC)

Methodology Applied
Scientific EffectLiquid chromatography: Chromatography

Data Source

PatentUS10001501B2Systems and methods for automated, customizable sample preparation for detection of metabolites and lipids
Publication Date: 2018.06.19 UNIVERSAL DIAGNOSTICS SL
  • US10001501B2 patent drawing
  • US10001501B2 patent drawing
  • US10001501B2 patent drawing

AI summary

Described herein are automated and customizable sample preparation and analysis systems for detection and quantification of biomarkers (e.g., metabolites and/or lipids) in biological samples (e.g., blood, serum, or plasma) in a clinical setting. The automated systems are controlled by scripts that integrate communication between the components of the sample preparation system. Also described herein are mass spectrometry-based analytical methods featuring efficient system calibration and sample analysis that provide for accurate quantification of a set of markers in biological samples. The methods are capable of automatic high sample throughput in a clinical setting for detection and quantification using a mass spectrometry system and high performance liquid chromatography column.