Mass Spectrometer Background Tuning During Analytical Runs
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The autotune process in mass spectrometers is time-consuming, often leading users to skip or perform it less frequently, which can result in suboptimal data quality and reduced analytical efficiency.
Innovation Solution
A system and method that acquire tune data during idle or run-time periods within batches of analytical runs to determine and set operating parameters, allowing for background tuning of mass spectrometer components without interrupting analytical processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a traditional autotune process is performed to optimize mass spectrometer operating parameters, then data accuracy and instrument performance are improved, but the time required for analytical operations increases significantly
Solution Approach 1:
The system performs preliminary tuning actions by acquiring tune data and determining operating parameter values during idle-time periods before the next analytical run begins. This allows the mass spectrometer to be pre-optimized for upcoming analyses without interrupting the analytical workflow, as the tuning computations and parameter adjustments are completed in advance during available idle time.
Solution Approach 2:
The system maintains continuous useful action by utilizing idle-time periods throughout operational batches to progressively acquire tune data and determine operating parameter values. Rather than performing a single lengthy autotune that interrupts analysis, the system continuously accumulates tuning information and makes parameter adjustments during naturally occurring idle periods, keeping the instrument optimally tuned throughout extended operational sequences without dedicating large blocks of time to tuning.
2Measurement precision
If frequent autotune processes are performed to maintain optimal performance, then data quality is improved, but analytical productivity decreases due to time spent tuning
Solution Approach 1:
The system performs preliminary tuning computations and parameter determinations during idle-time periods before analytical runs begin or during stabilization periods. This allows multiple tuning cycles to be completed in advance without interrupting the analytical workflow, enabling frequent performance optimization while maintaining high productivity during actual analysis periods.
Solution Approach 2:
The system continuously accumulates tune data and determines operating parameter values during idle-time periods throughout operational batches. By distributing tuning activities across multiple small idle periods rather than requiring single long tuning sessions, the system maintains continuous analytical productivity while still performing frequent performance optimizations to ensure high data quality.
3Reliability
If users are required to dedicate significant time to autotune processes, then instrument performance is optimized, but user convenience and ease of operation deteriorate
Solution Approach 1:
The system performs self-service by automatically acquiring tune data, computing optimal operating parameter values, and adjusting mass spectrometer settings during idle-time periods without requiring user intervention. The controller autonomously manages the entire tuning process, including detecting idle periods, acquiring necessary data, performing computations, and implementing parameter changes, thereby eliminating the burden of manual autotune operations while maintaining optimal performance.
Solution Approach 2:
The system performs preliminary tuning actions automatically during idle-time periods before analytical runs begin. By completing tuning computations and parameter adjustments in advance during available idle time, the system eliminates the need for users to dedicate time to manual autotune procedures, making the instrument easy to operate while ensuring optimal performance is achieved beforehand.
Data Source
AI summary
A tuning system may acquire, from a mass spectrometer during a batch of one or more analytical runs performed with the mass spectrometer, tune data associated with an operating characteristic of the mass spectrometer. The tuning system may determine, based on the tune data, a value of an operating parameter configured to adjust the operating characteristic of the mass spectrometer and set the operating parameter to the determined value.


