Background: There is significant interest in developing alternatives to traditional blood transportation and separation methods, which often require centrifugation and cold storage to preserve specimen integrity. Here we provide new performance findings that characterize a novel device that separates whole blood via lateral flow then dries the isolated components for room temperature storage and transport.
Methods: Untargeted proteomics was performed on non-small cell lung cancer (NSCLC) and normal healthy plasma applied to the device or prepared neat.
Results: Significantly, proteomic profiles from the storage device were more reproducible than from neat plasma. Proteins depleted or absent in the device preparation were shown to be absorbed onto the device membrane through largely hydrophilic interactions. Use of the device did not impact proteins relevant to an NSCLC clinical immune classifier. The device was also evaluated for use in targeted proteomics experiments using multiple-reaction monitoring (MRM) mass spectrometry. Intra-specimen detection intensity for protein targets between neat and device preparations showed a strong correlation, and device variation was comparable to the neat after normalization. Inter-specimen measurements between the device and neat preparations were also highly concordant.
Conclusions: These studies demonstrate that the lateral flow device is a viable blood separation and transportation tool for untargeted and targeted proteomics applications.
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http://dx.doi.org/10.3390/biomedicines12102318 | DOI Listing |
Anal Chem
January 2025
Department of Nature Sciences, Mathematics and Education, Federal University of São Carlos, 13600-970 Araras, São Paulo, Brazil.
A few decades ago, the technological boom revolutionized access to information, ushering in a new era of research possibilities. Electrochemical devices have recently emerged as a key scientific advancement utilizing electrochemistry principles to detect various chemical species. These versatile electrodes find applications in diverse fields, such as healthcare diagnostics and environmental monitoring.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
School of Electrical Engineering, Kookmin University, Seoul 02707, Republic of Korea.
In this study, we analyze the characteristics of fast transient drain current () in IGZO-based field-effect transistors (FETs) with different composition ratios (device O: ratio of 1:1:1 for In, Ga, Zn, device G: ratio of 0.307:0.39:0.
View Article and Find Full Text PDFCureus
January 2025
Anesthesiology and Pain and Palliative Medicine, Radboud University Medical Center, Nijmegen, NLD.
When a difficult airway is anticipated, awake tracheal intubation can be considered. Usually, low doses of sedatives are administered during this procedure for minimal sedation and anxiolysis, such as midazolam and remifentanil. The newly developed ultra-short-acting benzodiazepine remimazolam has a pharmacokinetic profile that is more suitable for titration during awake tracheal intubation than the long-acting midazolam.
View Article and Find Full Text PDFACS EST Air
January 2025
Lyles School of Civil & Construction Engineering, Purdue University, West Lafayette, Indiana 47907, United States.
Commercial HVAC systems intended to mitigate indoor air pollution are operated based on standards that exclude aerosols with smaller diameters, such as ultrafine particles (UFPs, D ≤ 100 nm), which dominate a large proportion of indoor and outdoor number-based particle size distributions. UFPs generated from occupant activities or infiltrating from the outdoors can be recirculated and accumulate indoors when they are not successfully filtered by an air handling unit. Monitoring UFPs in real occupied environments is vital to understanding these source and mitigation dynamics, but capturing their rapid transience across multiple locations can be challenging due to high-cost instrumentation.
View Article and Find Full Text PDFSens Diagn
December 2024
Department of Bioengineering, Rice University Houston TX 77030 USA
CRISPR-Cas-based lateral flow assays (LFAs) have emerged as a promising diagnostic tool for ultrasensitive detection of nucleic acids, offering improved speed, simplicity and cost-effectiveness compared to polymerase chain reaction (PCR)-based assays. However, visual interpretation of CRISPR-Cas-based LFA test results is prone to human error, potentially leading to false-positive or false-negative outcomes when analyzing test/control lines. To address this limitation, we have developed two neural network models: one based on a fully convolutional neural network and the other on a lightweight mobile-optimized neural network for automated interpretation of CRISPR-Cas-based LFA test results.
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