In this study, the effect of the plasma treatment on corn seeds is investigated. Corn seeds were treated uniformly without burning or blackening by three kinds of plasma apparatus: RF plasma in vacuum, microwave-driven atmospheric-pressure plasma, DBD atmospheric-pressure plasma, and two other treatments: vacuum exposure only, and using plasma-activated water in the seed coating process, to investigate growth rate changes under realistic conditions. Each treatment was performed on a total of 1512 corn seeds. Seeds from each experimental condition were treated with the recommended rate of Poncho/VOTiVO with Acceleron, a commercial biological seed treatment that helps to protect the seeds from fungus, insects, and nematodes after planting. The 1512 seeds were divided evenly into three replications with 84 seeds planted for each replication at six unique locations across central Illinois. The results for germination, growth, and product yield over the 2017 growing season is presented. Overall no statistically significant difference in the yield of corn harvested was found between the control and any of the five treatments. This is likely due to the already near-100% germination rate of the corn hybrid used in the study and the use of the Poncho/VOTiVO protective coating on every sample.
Traditionally, microbial pollution of the environment has been associated with missions from operations in agricultural farms, poultry processing plants, landfills, and waste processing facilities. With the advent of biotechnology, new sources of bio-aerosol pollution have been generated from the utilization of genetically-engineered microbial strains in producing pharmaceuticals, enzymes, and food substitutes. Thus, detection of airborne pollution particles such as pathogenic, allergenic, and microorganisms is crucial to ensure a sanitary work environment. In this study, a cyclone bio-aerosol sampler is designed based on the Stokes number and Reynolds number to collect and concentrate bio-aerosol particles in a liquid. In addition, computational fluid dynamics (CFD) techniques are used to study the performance of an bio-aerosol sampling cyclone that continuously collects particles onto a flowing liquid film. At an aerosol sampling flow rate of 1000 L/min and a continuous liquid outflow rate of 1 mL/min, Cutpoint particle size is about 1 μm aerodynamic diameter. The sampler was connected to the FET-based biosensor using fluid channel in order to design real-time detection system (fig. 1). To evaluate the real-time detection system, protein particles were injected in the chamber of 1 m3 and collected in a liquid that are passed through the wet cyclone. The collected concentrate was delivered to the FET-based biosensor causing antigen-antibody reaction with protein through the fluid channel. Then the electrical signals were detected between the two materials using Semiconductor Parameter Analyzer (SPA).
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