Airborne Microbial Aerosol Detection by Combining Single Particle Mass Spectrometry and a Fluorescent Aerosol Particle Sizer.

Detection methods for microbiological aerosols based on single particle mass spectrometry (SPAMS) and a fluorescent aerosol particle sizer (FLAPS) have been developed progressively. However, they encounter interference and inefficiency issues. By merging FLAPS and SPAMS technologies, the majority of inorganic ambient aerosols may be eliminated by the FLAPS, thus resolving SPAMS' large data volume. SPAMS, on the other hand, may eliminate the secondary fluorescence interference that plagues the FLAPS. With the addition of the enhanced machine learning classifier, it is possible to extract microbial aerosol signals more precisely. In this work, a FLAPS-SPAMS instrument and a Random Forest classifier based on Kendall's correlation expansion training set approach were built. In addition to analyzing the outdoor microbial proportions, the interference components of non-microbial fluorescent particles were also examined. Results indicate that the fraction of outdoor microbial aerosols in fluorescent particles is 25.72% or roughly 2.57% of total particles. Traditional ART-2A algorithm and semi-empirical feature clustering approaches were used to identify the interference categories of abiotic fluorescent particles, which were mostly constituted of EC/OC, LPG/LNG exhaust, heavy metal organics, nicotine, vinylpyridine, polycyclic aromatic hydrocarbons (PAHs), and polymers, accounting for 68.51% of fluorescent particles.

Study of aerodynamic focusing lens stacks (ALS) for long focal length aerosol-assisted focused chemical vapor deposition (AAFCVD).

Mask-free direct printing can alleviate the high cost and high consumption involved in photo-lithography for chip processing. Most of their technical routes are based on the traditional short focal length nozzles, which is suffered from higher probability of nozzle retardation or clogging as well as the higher mechanical burdens. While aerosol-assisted chemical vapor deposition (AACVD) has better deposition adaptability but usually lack of focused printing. In this study, a system that combines of long focal length ALS with AACVD, so called AAFCVD printing system has been developed. The single-point printing capability and aerosol precursor adaptability were verified, and the relationship between the single spot printing performance and the chemical reaction mechanisms were studied. Furthermore, a unique carbon injection effect brought by ALS was discovered. Finally, the linear graphics printing performances of the system were evaluated. This system is expected to become a new generation of high-performance mask-free printing system for chip manufacturing.

Large-area few-layer hexagonal boron nitride prepared by quadrupole field aided exfoliation.

A quadrupole electric field-mediated exfoliation method is proposed to convert micron-sized hexagonal boron nitride (h-BN) powder into few-layer hexagonal boron nitride nanosheets (h-BNNS). Under optimum conditions (400 Hz, 40 V, 32 µg ml-1, sodium deoxycholate, TAE medium), the h-BN powders (thickness >200 nm, horizontal scale ∼10 µm) are successfully exfoliated into 0.5-4 nm (1-10 layers) thick h-BNNS with the same horizontal scale. Dynamic laser scattering and atomic force microscope data show that the yield is 47.6% (for the portion with the thickness of 0.5-6 nm), and all of the vertical sizes are reduced to smaller than 18 nm (45 layers).