2011 journal article

Design, modeling, fabrication, and evaluation of the air amplifier for improved detection of biomolecules by electrospray ionization mass spectrometry

INTERNATIONAL JOURNAL OF MASS SPECTROMETRY, 300(2-3), 99–107.

By: G. Robichaud n, R. Dixon, A. Potturi, D. Cassidy*, J. Edwards*, A. Sohn*, T. Dow*, D. Muddiman*

author keywords: Air amplifier; Electrospray ionization; Modeling; Detection limits
TL;DR: A computer simulation that accurately portrays actual conditions and the results from these simulations are corroborated by the experimental data is developed, which can be used to predict outcomes from future designs resulting in a design process that is efficient in terms of financial cost and time. (via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Source: Web Of Science
Added: August 6, 2018

Through a multi-disciplinary approach, the air amplifier is being evolved as a highly engineered device to improve detection limits of biomolecules when using electrospray ionization. Several key aspects have driven the modifications to the device through experimentation and simulations. We have developed a computer simulation that accurately portrays actual conditions and the results from these simulations are corroborated by the experimental data. These computer simulations can be used to predict outcomes from future designs resulting in a design process that is efficient in terms of financial cost and time. We have fabricated a new device with annular gap control over a range of 50 to 70 μm using piezoelectric actuators. This has enabled us to obtain better aerodynamic performance when compared to the previous design (2× more vacuum) and also more reproducible results. This is allowing us to study a broader experimental space than the previous design which is critical in guiding future directions. This work also presents and explains the principles behind a fractional factorial design of experiments methodology for testing a large number of experimental parameters in an orderly and efficient manner to understand and optimize the critical parameters that lead to obtain improved detection limits while minimizing the number of experiments performed. Preliminary results showed that several folds of improvements could be obtained for certain condition of operations (up to 34 folds).