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1.
Applied Materials Today ; 2021.
Article in English | Scopus | ID: covidwho-1549637

ABSTRACT

Plasmonic chips comprising gold nanoisland structures that are fabricated by solution-phase seeding, have demonstrated excellent promise as high-sensitivity substrates for molecular detection and medical diagnostic applications. Even so, there still remains an outstanding need to examine the potential utility of these plasmonic chips for label-free refractometric biosensing and to understand how nanostructure design principles affect measurement sensitivity. Herein, we developed a thiol-based surface functionalization strategy to fabricate gold nanoislands on a functionalized glass surface with improved fractional surface coverages and inter-island gap distances of 80–85% and 5–10 nm, respectively, as compared to values of 50–65% and 15–20 nm for gold nanoislands on bare glass substrates. By tuning the gap distance, it was possible to adjust the bulk refractive index sensitivity of the measurement signal from ∼99 nm per refractive index unit (nm/RIU) for gold nanoislands on a non-functionalized glass surface to ∼180 nm/RIU for gold nanoislands on a functionalized glass surface. The nanoplasmonic biosensing capabilities of the latter plasmonic chip were further investigated and demonstrated larger measurement responses for detecting bovine serum albumin (BSA) protein adsorption compared to other types of plasmonic gold nanostructures. It was also possible to detect antigen-antibody interactions related to coronavirus disease-2019 (COVID-19), especially binding events that occurred near the sensor surface. These findings demonstrate the broad application possibilities of gold nanoisland platforms for refractometric biosensing and emphasize the importance of finetuning nanostructure dimensions to optimize sensing performance. © 2021

2.
14th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2021 ; : 115-116, 2021.
Article in English | Scopus | ID: covidwho-1309862

ABSTRACT

According to the CDC, COVID-19 most commonly spreads during close contact. Although the cleaners are disinfecting the public places where they are expected to have been contacted, it is still difficult to know exactly which areas have been touched and wiped out. We devised combined methods of detecting touched and wiped areas by people, using both thermal and imaging cameras. It detects the changes of temperature when people touched or wiped in about 3 seconds. To improve the accuracy, we utilize object recognition for humans from imaging cameras as a method of filtering. All marks are tracked and calculated, to disclose which areas are still remaining as touched areas, revealing the information to anyone who wants to know. © 2021 ACM.

3.
Mmwr-Morbidity and Mortality Weekly Report ; 70(14):535-535, 2021.
Article in English | Web of Science | ID: covidwho-1187514
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