Smart Nozzle Feedback for Aerosol Quality in ICP Spectrometry
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Solution Overview
Problem
Current nebulizers in analytical spectrometry, particularly inductively coupled plasma (ICP) systems, face challenges in producing consistent aerosol quality due to issues like signal broadening, volatile analyte loss, and transient acid effects, which affect the analytical performance and require manual adjustments that are prone to human error.
Innovation Solution
The development of a smart nozzle or nebulizer system that uses automated feedback from laser-based imaging techniques, such as Particle Image Velocimetry (PIV) and optical patternation, to measure and adjust droplet size and velocity, optimizing aerosol production for improved analytical performance and reducing human error.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional pneumatic nebulizers are used to produce aerosol, then liquid sample can be converted to spray, but the aerosol quality is inconsistent with large droplets causing signal broadening and volatile analyte loss
Solution Approach 1:
The patent applies dynamics by making the nozzle dimensions adjustable and controllable in real-time. The nozzle exit diameter is varied dynamically to optimize droplet size distribution and velocity, allowing the system to adapt to different operating conditions and sample types, thereby producing consistent aerosol quality without large droplets that cause signal broadening
Solution Approach 2:
The patent implements feedback control by using laser imaging techniques to measure droplet size and velocity distributions, then using this information to adjust nozzle dimensions and operating parameters. This closed-loop control system ensures optimal aerosol quality by continuously monitoring and adjusting droplet characteristics to eliminate harmful large droplets
2Manufacturing precision
If spray chamber is used to condition aerosol by removing larger droplets, then aerosol quality improves, but memory effects and transient acid effects increase
Solution Approach 1:
The patent applies preliminary action by optimizing droplet size and velocity distribution at the nozzle outlet before the aerosol enters the plasma source. By controlling the nozzle dimensions to produce only small, monodisperse droplets with uniform velocity, the system eliminates the need for spray chambers that cause memory effects, as the aerosol is already conditioned to optimal quality at the source
3Reliability
If direct sample introduction is used to eliminate spray chamber issues, then memory effects are reduced, but aerosol quality consistency becomes difficult to control
Solution Approach 1:
The patent implements feedback control by using laser imaging techniques to measure droplet size and velocity distributions, then using this information to adjust nozzle dimensions and operating parameters. This closed-loop control system ensures optimal aerosol quality by continuously monitoring and adjusting droplet characteristics to eliminate harmful large droplets
4Manufacturing precision
If automated feedback control with laser imaging is implemented, then aerosol quality optimization is achieved, but system complexity increases
Solution Approach 1:
The patent replaces complex mechanical adjustment mechanisms with automated control systems. Instead of manual adjustment of nozzle dimensions, the system uses computer-controlled actuators and laser imaging for non-contact measurement, substituting mechanical complexity with electronic control and optical measurement that provides more precise and reproducible results
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 results in the production of small, slow droplets with uniform size and velocity, enhancing signal level, precision, and accuracy of analytical measurements, while also reducing sample and solvent consumption and minimizing waste, thus improving the efficiency of sample introduction and analytical sensitivity.
Implementation Method 1
uses automated feedback from laser-based imaging techniques, such as Particle Image Velocimetry (PIV) and optical patternation, to measure and adjust droplet size and velocity
Implementation Method 2
laser-based imaging techniques
Implementation Method 3
Small and slow droplets, for example, completely desolvate, vaporize, atomize, and ionize in the ICP
Implementation Method 4
Small and slow droplets, for example, completely desolvate, vaporize, atomize, and ionize in the ICP
Implementation Method 5
Small and slow droplets, for example, completely desolvate, vaporize, atomize, and ionize in the ICP
Implementation Method 6
Small and slow droplets, for example, completely desolvate, vaporize, atomize, and ionize in the ICP
Data Source
AI summary
Nozzles and nebulizers able to produce aerosol with optimum and reproducible quality based on feedback information obtained using laser imaging techniques. Two laser-based imaging techniques based on particle image velocimetry (PTV) and optical patternation map and contrast size and velocity distributions for indirect and direct pneumatic nebulizations in plasma spectrometry. Two pulses from thin laser sheet with known time difference illuminate droplets flow field. Charge coupled device (CCL)) captures scattering of laser light from droplets, providing two instantaneous particle images. Pointwise cross-correlation of corresponding images yields two-dimensional velocity map of aerosol velocity field. For droplet size distribution studies, solution is doped with fluorescent dye and both laser induced florescence (LIF) and Mie scattering images are captured simultaneously by two CCDs with the same field of view. Ratio of LIF/Mie images provides relative droplet size information, then scaled by point calibration method via phase Doppler particle analyzer.