Characterization of standardized breath sampling for off-line field use.

Due to several sources of potential variability associated with exhaled breath bag sampling procedures for off-line analysis, the Respiration Collector for in vitro Analysis (ReCIVA) sampler was developed. Although designed to improve upon several pitfalls of sampling with exhaled breath bags, the ReCIVA remains a minimally studied research tool. In this manuscript, several attributes of the ReCIVA sampler are investigated among three individual tests, such as background contamination, control software version, performance of different adsorbent tubes, duplicate sample production, and comparison to exhaled breath bags. The data shows greater than a 58% reduction in background siloxanes can be achieved with submersion of ReCIVA masks in ethyl alcohol or baking the masks at a high temperature (200 °C). The results illustrate the ReCIVA control software version plays a key role in the flow rates applied to thermal desorption (TD) tubes. Using exhaled isoprene as a representative analyte, the data suggest duplicate samples among ReCIVA pump banks can be achieved using two different thermal desorption tubes, Tenax TA and Tenax/Carbograph 5TD, when using an updated control software and manually calibrating the ReCIVA pumps to uniform flow rates (Tenax p = 0.3869, 5TD p = 0.3131). Additionally, using the updated control software and manual ReCIVA flow calibration, the data suggest the ReCIVA can produce statistically similar results among TD tube types (p = 0.3824) and compared to standard exhaled breath bags (p = 0.1534). Collectively, these results establish a method for manually calibrating the flow of the ReCIVA device to allow for the most consistent results. These data support further experimentation into the use of the ReCIVA sampler for exhaled breath research.

Plasmonic aptamer-gold nanoparticle sensors for small molecule fingerprint identification.

The utilization of the plasmonic response of aptamer-gold nanoparticle conjugates (Apt-AuNPs) to design cross-reactive arrays for fingerprint identification of small molecular targets was demonstrated for the first time. Four aptamers with different structural features previously selected to bind different targets were used in combination with AuNPs by adsorbing the DNA on the AuNPs surface. The optimized response of the Apt-AuNPs to the analytes showed that, depending on the specific aptamer used, target binding by the aptamer could result in an increase or decrease of Apt-AuNPs stability. These Apt-AuNPs showed the ability to recognize different analytes with different affinities, generating fingerprints that allowed unambiguous analyte identification with response times in less than fifteen minutes. Importantly, it was observed that it was not necessary to select an aptamer per analyte of interest to generate differentiable signatures, but a subset of aptamers could be used to identify a larger number of analytes. The data was analyzed using principal component analysis, showing efficient clustering of the different datasets for qualitative and quantitative identification. This work opens the door to using these Apt-AuNPs in point of care diagnostics applications where fast sensors with easy to read outputs are needed.