Automated SP-ICP-MS Data Analysis for Nanoparticle Characterization

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Solution Overview

Problem

Current Single-Particle Inductively Coupled Plasma Mass Spectrometry (SP-ICP-MS) techniques generate large data sets that require significant processing time, often leading to inaccuracy and lack of precision due to manual data analysis and multiple sample dilutions, which introduce errors and artifacts.

Innovation Solution

An automated method for analyzing SP-ICP-MS data sets that involves accessing multiple pulse count values for each detected particle, determining a threshold to differentiate peak signals from background signals, and constructing histograms for particle mass, size, and concentration, allowing for efficient and precise determination of particle characteristics without extensive dilutions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual data analysis is used for SP-ICP-MS data sets, then analysis can be performed, but processing time is excessive and accuracy/precision deteriorates

Engineering Contradiction:
Improveanalysis accuracyVSAvoidprocessing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent replaces manual mechanical data analysis with an automated computer-based system that processes SP-ICP-MS data sets. The system automatically detects peaks, determines particle masses, and generates size distributions without human intervention, thereby eliminating the trade-off between processing time and accuracy that plagues manual analysis.

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

Solution Approach 2:

The automated analysis system performs self-service by independently processing the entire data set from raw signals to final particle size distributions. The system automatically identifies peaks, calculates particle masses using calibration curves, and generates comprehensive analysis results without requiring manual intervention at any stage, thus achieving both high speed and high precision simultaneously.

Inventive Principle:
Principle #25Self-service

2Quantity of substance

If multiple sample dilutions are performed to analyze particle concentrations, then measurement range is expanded, but errors and artifacts are introduced

Engineering Contradiction:
Improveparticle concentration rangeVSAvoiddata accuracy
Core Design Contradiction:
Quantity of substanceVSReliability

Solution Approach 1:

The patent changes the measurement parameter from requiring multiple dilution steps to using a single undiluted or minimally diluted sample. The automated analysis system can handle a wide dynamic range of particle concentrations (from 10^3 to 10^8 particles/mL) by automatically adjusting analysis parameters and using calibration curves, thereby expanding the measurable quantity range without introducing dilution-related errors.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent extracts and eliminates the problematic dilution steps from the analysis workflow. By using automated peak detection and calibration-based quantification, the system can directly analyze undiluted or minimally diluted samples, removing the source of dilution errors and artifacts while maintaining the ability to measure across a wide concentration range.

Inventive Principle:
Principle #2Taking out (Extraction)

3Productivity

If fast data acquisition is used to reduce processing time, then productivity is improved, but data analysis accuracy may deteriorate

Engineering Contradiction:
Improvedata acquisition speedVSAvoidparticle detection accuracy
Core Design Contradiction:
ProductivityVSMeasurement precision

Solution Approach 1:

The patent replaces slow manual data analysis with an automated computer-based system that can process fast acquisition data sets efficiently. The automated peak detection and particle mass calculation algorithms can handle high-speed data streams without sacrificing accuracy, thereby enabling the use of fast acquisition modes to improve productivity while maintaining precise particle detection.

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

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

This approach enables efficient, accurate, and precise analysis of particle mass, size, and concentration, reducing processing time and eliminating errors associated with manual data handling, while differentiating between dissolved and solid nanoparticle signals.

Implementation Method 1

an ICP torch and RF coil for generating the argon plasma that serves as the ion source

Methodology Applied
Scientific EffectPlasma: Plasma

Implementation Method 2

The plasma dries the aerosol, dissociates the molecules, then removes an electron from the components, thereby forming singly-charged ions

Methodology Applied
Scientific EffectIonization: Ionisation

Implementation Method 3

a mass spectrometer that acts as a mass filter to sort ions by their mass-to-charge ratio (m/z)

Methodology Applied
Scientific EffectElectromagnetic separation: Electromagnetic Induction

Implementation Method 4

Upon exiting the mass spectrometer, ions strike the first dynode of an electron multiplier, which serves as a detector. The impact of the ions releases a cascade of electrons, which are amplified until they become a measurable pulse

Methodology Applied
Scientific EffectElectron multiplication: Electron Avalanche

Data Source

PatentUS10431444B2Systems and methods for automated analysis of output in single particle inductively coupled plasma mass spectrometry and similar data sets
Publication Date: 2019.10.01 PERKINELMER U S LLC
  • US10431444B2 patent drawing
  • US10431444B2 patent drawing
  • US10431444B2 patent drawing

AI summary

The present disclosure provides methods and systems for automated analysis of spectrometry data corresponding to particles of a sample, such as large data sets obtained during single particle mode analysis of an inductively coupled plasma mass spectrometer (SP-ICP-MS). Techniques are presented herein that provide appropriate smoothing for rapid data processing without an accompanying reduction (or with an acceptably negligible reduction) in accuracy and/or precision.