Sensors and microarrays in protein biomarker monitoring: an electrochemical perspective spots

Bioanalysis ◽  
2020 ◽  
Vol 12 (18) ◽  
pp. 1337-1345
Author(s):  
Jan Vacek ◽  
Jan Hrbac

The development of clinically applicable portable sensors and multiplex protein biomarker assays is one of the most important goals of laboratory medicine today. Sensing strategies based on electrochemical devices are discussed in this overview, with special emphasis on detection principles derived from voltammetry, electrogenerated chemiluminescence, bipolar electrochemistry and impedance-based measurements. Up-to-date examples of electrochemical methods in biomedical research and development are highlighted here, including critical evaluation and future directions of the analysis, development and validation of new protein biomarkers.

2015 ◽  
Vol 20 (4) ◽  
pp. 339-344 ◽  
Author(s):  
Brian Brookman ◽  
Owen Butler ◽  
Michael Koch ◽  
Tracey Noblett ◽  
Ulf Örnemark ◽  
...  

Nanoscale ◽  
2019 ◽  
Vol 11 (20) ◽  
pp. 9819-9839 ◽  
Author(s):  
Liang Wang ◽  
Ziwen Yuan ◽  
H. Enis Karahan ◽  
Yilei Wang ◽  
Xiao Sui ◽  
...  

The major modes of using nanocarbon materials for water disinfection: hydrogel filters, filtration membranes, recyclable aggregates, electrochemical devices, and photocatalysts.


2020 ◽  
pp. 153450842093778
Author(s):  
Panayiota Kendeou ◽  
Kristen L. McMaster ◽  
Reese Butterfuss ◽  
Jasmine Kim ◽  
Susan Slater ◽  
...  

The overall aim of the current investigation was to develop and validate the initial version of the Minnesota Inference Assessment (MIA). MIA is a web-based measure of inference processes in K–2. MIA leverages the affordances of different media to evaluate inference processes in a nonreading context, using age-appropriate fiction and nonfiction videos coupled with questioning. We evaluated MIA’s technical adequacy in a proof-of-concept study. Taken together, the results support the interpretation that MIA shows promise as a valid and reliable measure of inferencing in a nonreading context for students in Grades K–2. Future directions involve further development of multiple, parallel forms that can be used for progress monitoring in K–2.


2012 ◽  
Vol 30 (15_suppl) ◽  
pp. e21012-e21012
Author(s):  
Rosalynn D Gill ◽  
Steve Williams ◽  
Rachel Ostroff ◽  
Ed Brody ◽  
Alex Stewart ◽  
...  

e21012 Background: Biomarker discovery studies may fail to translate to the clinic because the study population does not match the intended clinical use or because hidden preanalytic variability in the discovery samples contaminates the apparent disease specific information in the biomarkers. This can arise from differences in blood sample processing between study sites or in samples collected differently at the same study site. Methods: To better understand the effect of different blood sample processing procedures, we evaluated protein measurement bias in a large multi-center lung cancer study using the >1000 protein SOMAscan™ assay. These analyses revealed that perturbations in serum collection and processing result in changes to families of proteins from known biological pathways. We subsequently developed protein biomarker signatures of cell lysis, platelet activation and complement activation and assembled these preanalytic signatures into quantitative multi-dimensional Sample Mapping Vector (SMV) scores. Results: The SMV score provides critical evaluation of the quality of every blood-based sample used in discovery and also enables the evaluation of candidate protein biomarkers for resistance to preanalytic variability. Despite uniform processing protocols for each clinic, the SMV analysis revealed unexpected case/control bias arising from collecting case and control serum from different clinics at the same academic centers, an effect that created false or bias-contaminated disease markers. We therefore used the SMV score to remove bias-susceptible analytes and to define a well-collected, unbiased training set. An improved classifier was developed, resistant to common artifacts in serum processing. Conclusions: . The performance of this classifier to detect lung cancer in a high-risk population is more likely to represent real-world diagnostic results. We believe this approach is generally applicable to clinical investigations in all fields of biomarker discovery and translational medicine.


2014 ◽  
Vol 79 (3) ◽  
pp. 522-540 ◽  
Author(s):  
Dana N. Bardolph

This paper explores the relationship between gender identity and patterns of authorship in peer-reviewed journals as a lens for examining gendered knowledge production and the current status and visibility of men and women in American archaeology. Drawing on feminist theory and the feminist critique of science, I examine how gender imbalance and a lack of diversity continue to affect the work that archaeologists produce. The evaluation of publishing trends serves as a means to investigate knowledge valuation/validation in archaeology and lends insight into the control over archaeological narratives. Analysis of publicacion rates from 1990–2013 in a number of prestigious archaeology research journals (including American Antiquity) as well as smaller-scale regional journals reveals that strong gender differences persist in one of the major ways that data are disseminated to the American archaeological community. I suggest that these patterns are likely a result of authorial behavior, rather than editorial or reviewer bias, and conclude with a discussion of future directions for practitioners to pursue research on gender equity in the discipline.


2017 ◽  
Vol 197 (4S) ◽  
Author(s):  
Pierre Tennstedt ◽  
Thomas Steuber ◽  
Annalisa Macagno ◽  
Bruno Golding ◽  
Ralph Schiess ◽  
...  

2012 ◽  
Vol 6 (2) ◽  
pp. 444-448 ◽  
Author(s):  
XIAO-HUI ZHAI ◽  
JIE-KAI YU ◽  
FU-QUAN YANG ◽  
SHU ZHENG

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