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Nozzle design parameters and their effects on rapid sample delivery in flow cytometry
Steven W Graves1, John P Nolan, James H Jett
1National Flow Cytometry Resource, Biosciences Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA. graves@lanl.gov
Cytometry
|January 29, 2002
Summary
A new fluidic model optimizes rapid mix flow cytometry, enabling faster particle analysis. This breakthrough allows for threefold shorter reaction time frames, crucial for high throughput screening and biotechnology research.
Area of Science:
- Biotechnology
- Analytical Chemistry
- Fluid Dynamics
Background:
- Rapid kinetic and high throughput flow cytometry are increasingly vital in biotechnology.
- Advancements in sample delivery have highlighted the importance of fluidic considerations.
- Optimizing fluidics is key for new applications like mechanistic analysis and high throughput screening.
Purpose of the Study:
- To develop a predictive model for fluidic parameters in rapid sample delivery.
- To optimize equipment for faster particle analysis in flow cytometry.
- To enable millisecond-time-frame analysis for rapid reactions.
Main Methods:
- Derived a fluidic model based on basic fluidic premises to predict nozzle effects.
- Tested the model using a rapid mix flow cytometer.
- Modified equipment based on model predictions to enhance performance.
Main Results:
- The model accurately predicted that shorter nozzles with wide exit orifices reduce analysis delay and fluidic stabilization time.
- Model-based modifications enabled particle analysis within 55 ms (with gating) and 600 ms (without gating) after mixing.
- Achieved threefold reduction in reaction time frames compared to previous capabilities.
Conclusions:
- The developed model and equipment modifications significantly enhance rapid mix flow cytometry capabilities.
- The model facilitates nozzle design for millisecond-time-frame analysis.
- Findings are applicable to various rapid delivery systems, including high throughput flow cytometry.