AI Peak Integration

AI Peak Integration for MassHunter

New Agilent AI Peak Integration for MassHunter software automates manual peak detection and integration during the data analysis process for phthalates and TDCPP when using single quadrupole GC/MS.? A machine learning model is custom trained during a user’s normal data analysis workflow by observing manual integration events. It then replaces manual peak integration with adaptive AI-assisted peak detection and integration.?

AI Peak Integration software continuously learns from your data in the background and copies your manual analysis methods, making it a custom fit for your lab.?It maximizes sample throughput and produces consistent analytical results across multiple users and multiple labs or locations. This next level of process automation shortens quantitative analysis time, minimizes the need for manual reintegration, and is easy to use—dramatically improving overall lab efficiency.?

Currently only available/supported in the US and selected countries in Europe (Austria, Belgium, Denmark, Finland, France, Germany, Ireland, Italy, Netherlands, Sweden, Spain, Switzerland, and UK).

Data Analysis

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Features

Automated peak integration for GC/MS analysis of phthalates and TDCPP, which are notoriously difficult to integrate during the data analysis process?
Reduced manual review and integration efforts by up to 75% via adaptive AI-assisted peak detection/integration that exhibits continuous learning
Improved peak detection accuracy with every sample submission as the AI algorithm/machine learning model constantly learns
Consistent results achieved using the same trained machine learning model, allowing sample data to be reanalyzed and re-evaluated anytime, simplifying audit verification needs
Custom-trained models, created and taught by the user, adapt to their unique lab peak detection protocols and patterns
Support for more than one trained machine learning model for phthalates or TDCPP per user or laboratory site, allowing AI peak integration algorithms for different analysis purposes or methods?
Version-controlled trained machine learning models allow you to go back to saved model versions or change them over time?
Cloud-based solution allows for scalable deployment of the peak finding software and easy, flexible update of features?

Specifications


Current Software Version	1.0
Deployment Model	Data Analysis Workstation (physical or virtual machine)
Selectable Languages	English
Software Delivery	Electronic
Supported Instruments	5977 series GC/MSD 5975 series GC/MSD
Supported Software Add-Ons	MassHunter Quant 10.2 and above (recommended)
Typical Applications	Consumer Products Testing - Phthalates and TDCPP

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AI Peak Integration for MassHunter

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Agilent AI Peak Integration for GC/MS Analysis of Phthalates

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