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Ryan J Priore

Publications and source records attributed to Ryan J Priore.

3 recordsLinked to original sources

Improved dispersion of bacterial endospores for quantitative infrared sampling on gold coated porous alumina membranes.

An improved method for qualitative and quantitative sampling of bacterial endospores using Fourier transform infrared (FT-IR) microscopy on gold-coated porous alumina membranes is presented. Bacillus subtilis endospores were filtered onto gold-coated alumina membranes serving as substrates. Studies in the mid-infrared (MIR) region revealed the characteristic bacterial absorption spectrum at low surface concentration, while scanning electron microscopy (SEM) images of the same samples provided precise calculation of the surface concentration of the bacterial endospores. Under the conditions of study, the average concentration of endospores was determined to be 1356 +/- 35 spores in a 100 x 100 mum(2) area, with a relative standard deviation of 0.0260. Examination of ten random spots on multiple substrates with FT-IR microscopy apertured to the same area gave an average relative standard deviation of 0.0482 in the signal strength of the amide A band at 3278 cm(-1). An extinction cross-section in reflection of sigma(ext) = (7.8 +/- 0.6) x 10(-9) cm(2)/endospore was calculated for the amide A band at the frequency of its peak absorbance, 3278 cm(-1). The absorption cross-section of the amide A band in reflection is estimated to be sigma(abs) approximately (2.10 +/- 0.12) x 10(-9) cm(2)/endospore.

Aluminum Oxide↗

On-line reoptimization of filter designs for multivariate optical elements.

An automated method for producing multivariate optical element (MOE) interference filters that are robust to errors in the reactive magnetron sputtering process is described. Reactive magnetron sputtering produces films of excellent thickness and uniformity. However, small changes in the thickness of individual layers can have severe adverse effects on the predictive ability of the MOE. Adaptive reoptimization of the filter design during the deposition process can maintain the predictive ability of the final filter by changing the thickness of the undeposited layers to compensate for the errors in deposition. The merit function used, the standard error of calibration, is fundamentally different from the standard spectrum matching. This new merit function allows large changes in the transmission spectrum of the filter to maintain performance.

Journal Article↗