Towards airborne nanoparticle mass spectrometry with nanomechanical string resonators

Airborne nanoparticles can cause severe harm when inhaled. Therefore, small and cheap portable airborne nanoparticle monitors are highly demanded by authorities and the nanoparticle producing industry. We propose to use nanomechanical resonators to build the next generation cheap and portable airborne nanoparticle sensors. Recently, nanomechanical mass spectrometry was established. One of the biggest challenges of nanomechanical sensors is the low efficiency of diffusion-based sampling. We developed an inertial-based sampling method that enables the efficient sampling of airborne nanoparticles on a nanomechanical sensor operating directly in air. We measured a sampling rate of over 1000 particles per second, for 28 nm silica nanoparticles with a concentration of 380000 #/cm3, collected on a 500 nm wide nanomechanical string resonator. We show that it is possible to reach a saturated sampling regime in which 100% of all nanoparticles are captured that are owing in the projection of the nanostring. We further show that it is possible to detect single airborne nanoparticles by detecting 50 nm Au particles with a 250 nm wide string resonator. Our resonators are currently operating in the first bending mode. Mass spectrometry of airborne nanoparticles requires the simultaneous operation in the first and second mode, which can be implemented in the transduction scheme of the resonator. The presented results lay the cornerstone for the realization of a portable airborne nanoparticle mass spectrometer.

[1]  Robert J. Messinger,et al.  Making it stick: convection, reaction and diffusion in surface-based biosensors , 2008, Nature Biotechnology.

[2]  M. Roukes,et al.  Single-protein nanomechanical mass spectrometry in real time , 2012, Nature nanotechnology.

[3]  D. Ingham The diffusional deposition of aerosols in fibrous filters , 1981 .

[4]  Lang Tran,et al.  Safe handling of nanotechnology , 2006, Nature.

[5]  Silvan Schmid,et al.  Damping mechanisms in high-Q micro and nanomechanical string resonators , 2011 .

[6]  O. Hansen,et al.  Mass and position determination of attached particles on cantilever based mass sensors. , 2007, The Review of scientific instruments.

[7]  Benjamin Y. H. Liu,et al.  Efficiency of Fibrous Filters with Rectangular Fibers , 1992 .

[8]  Howard Rosenbaum,et al.  Effects of reading proficiency on embedded stem priming in primary school children , 2021 .

[9]  A. Waag,et al.  Airborne engineered nanoparticle mass sensor based on a silicon resonant cantilever , 2013 .

[10]  A. Kirsch,et al.  A contribution to the theory of fibrous aerosol filters , 1973 .

[11]  Benjamin Y. H. Liu,et al.  Aerosol filtration by fibrous filters—I. theoretical☆ , 1974 .

[12]  H. Jacobs,et al.  Effective localized collection and identification of airborne species through electrodynamic precipitation and SERS-based detection , 2013, Nature Communications.

[13]  G. Oberdörster,et al.  Safety assessment for nanotechnology and nanomedicine: concepts of nanotoxicology , 2010, Journal of internal medicine.

[14]  A. Boisen,et al.  Position and mass determination of multiple particles using cantilever based mass sensors , 2010 .

[15]  B. Bay,et al.  Nanoparticle-induced pulmonary toxicity , 2010, Experimental biology and medicine.

[16]  S. Pourkamali,et al.  Fabrication and characterization of thermally actuated micromechanical resonators for airborne particle mass sensing: II. Device fabrication and characterization , 2010 .

[17]  W. H. Walton The Mechanics of Aerosols , 1966 .

[18]  Silvan Schmid,et al.  Real-time single airborne nanoparticle detection with nanomechanical resonant filter-fiber , 2013, Scientific Reports.

[19]  Silvan Schmid,et al.  Real-Time Particle Mass Spectrometry Based on Resonant Micro Strings , 2010, Sensors.

[20]  K. W. Lee,et al.  Theoretical Study of Aerosol Filtration by Fibrous Filters , 1982 .

[21]  Werner Österle,et al.  Characterisation of silica nanoparticles prior to in vitro studies: from primary particles to agglomerates , 2011 .