Potentiometric detection of model bioaerosol particles.
A new technique for the detection of bioaerosols is presented, utilizing particle combustion/ionization in a premixed hydrogen/oxygen/nitrogen flame plasma, followed by gas phase electrochemical detection. Bermuda grass pollen (Cynodon dactylon, one of the most common causes of pollen allergy) and black walnut pollen (Juglans nigra) were used as model bioaerosol particles. We demonstrate that single particle detection can be comfortably achieved by zero current potential measurements between two platinum electrodes, giving potential signals of over 800 mV and unique fragmentation features which may be used for differentiating between species. The high sensitivity is due to the inherent amplification through flame fragmentation, gasification and ionization; a single pollen grain of 25 μm diameter can give a plume of combustion products measuring 4 mm in diameter. The physical basis of the potential difference is a mixed interfacial potential with an additive diffusion/junction potential due to the increase in ionization from the pollen combustion. The results suggest this methodology may be applied to the detection of particulates composed of ionizable species (organic or inorganic) in gaseous environments, such as bacteria, viruses, pollen grains, and dust. Its effectiveness will depend on the propensity of the target particle to combust and generate voltages under specific flame and electrode conditions.
Sarantaridis
Dimitris
D
Department of Chemistry, University College London, 20 Gordon St, London WC1H 0AJ, UK.
Caruana
Daren J
DJ
D000336:Aerosols / Q000032:analysis* / Q000737:chemistry; D031744:Cynodon / Q000737:chemistry; D004563:Electrochemistry; D004566:Electrodes; D031324:Juglans / Q000737:chemistry; D058626:Plasma Gases / Q000737:chemistry; D011058:Pollen / Q000737:chemistry; D011199:Potentiometry / Q000379:methods*; D012815:Signal Processing, Computer-Assisted; D013696:Temperature
D000336:Aerosols; D058626:Plasma Gases