Pipet Tip Filter Resistance Calibration for Anomaly Detection

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Solution Overview

Problem

Disposable pipet tips with varying filter resistance complicate the detection of anomalies during liquid pipetting, leading to errors and data spread in pipetting surveillance.

Innovation Solution

Calibrate pipetting instruments by performing air aspirations with defined parameters to measure filter resistance, then adjust pressure measurements using the filter resistance to improve surveillance sensitivity and detect defects.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If disposable pipet tips include an aerosol filter to avoid cross contamination, then sample safety is improved, but pressure resistance varies causing difficulties in detecting anomalies

Engineering Contradiction:
Improvecross contamination preventionVSAvoidanomaly detection precision
Core Design Contradiction:
ReliabilityVSMeasurement precision

Solution Approach 1:

The system performs a preliminary air aspiration step before actual liquid pipetting to measure the filter's pressure resistance characteristics. This preliminary measurement allows the system to establish baseline data for each filter, enabling subsequent anomaly detection to account for individual filter variations rather than using fixed thresholds.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system changes the measurement parameter from direct liquid pipetting pressure to air aspiration pressure. By measuring pressure during air aspiration instead of liquid transfer, the system can accurately characterize filter resistance without the complexity of liquid dynamics, enabling better anomaly detection while maintaining filter functionality.

Inventive Principle:
Principle #35Parameter changes

2Difficulty of detecting and measuring

If pressure measurements are used to detect anomalies during liquid pipetting, then surveillance capability is improved, but filter resistance variations cause errors and data spread

Engineering Contradiction:
Improveanomaly detection capabilityVSAvoidpressure measurement accuracy
Core Design Contradiction:
Difficulty of detecting and measuringVSMeasurement precision

Solution Approach 1:

The system introduces air aspiration as an intermediary measurement step. Instead of directly measuring pressure during liquid pipetting (which is confounded by filter variations), the system uses air aspiration as a mediator to first characterize the filter's pressure-resistance relationship, then applies this knowledge to interpret liquid pipetting pressure data more accurately.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system implements a feedback mechanism where pressure measurements from air aspiration are used to update and refine the understanding of each filter's characteristics. This feedback loop allows the system to adapt to individual filter variations and improve anomaly detection accuracy over time, reducing errors caused by filter resistance differences.

Inventive Principle:
Principle #23Feedback

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

Reduces errors and data spread in pipetting surveillance by accurately accounting for filter resistance variations, enhancing the reliability of pipetting processes.

Implementation Method 1

measuring air pressure in the interior volume of the pipet

Methodology Applied
Scientific EffectPressure drop: Pressure Drop

Data Source

PatentUS20250264492A1Methods for Increased Pipetting Surveillance Sensitivity and Systems for Performing the Same
Publication Date: 2025.08.21 ROCHE MOLECULAR SYSTEMS INC
  • US20250264492A1 patent drawing
  • US20250264492A1 patent drawing
  • US20250264492A1 patent drawing

AI summary

Described herein are methods for pipetting liquids using a pipet comprising a disposable pipet tip having a filter using pressure data calibration for improved pipetting surveillance sensitivity and/or identifying defective pipets.