Shao, Wenting Shurin, Michael R. Wheeler, Sarah E. He, Xiaoyun Star, Alexander
Published in
ACS Applied Materials & Interfaces
Early diagnosis of SARS-CoV-2 infection is critical for facilitating proper containment procedures, and a rapid, sensitive antigen assay is a critical step in curbing the pandemic. In this work, we report the use of a high-purity semiconducting (sc) single-walled carbon nanotube (SWCNT)-based field-effect transistor (FET) decorated with specific bi...
Kwak, Byeong Eun Yoo, Hyo Jeong Lee, Eungjun Kim, Do Hyun
Published in
ACS Macro Letters
Recently, the polymer nanofiber web is in high demand as a strong barrier against harmful particles due to its high capture efficiency and strong droplet-blocking ability. As an advanced spinning technique, the centrifugal multispinning system was designed by sectioning a rotating disk into triple subdisks, showing mass producibility of polymer nan...
Mileto, Davide Mancon, Alessandro Staurenghi, Federica Rizzo, Alberto Econdi, Stefano Gismondo, Maria Rita Guidotti, Matteo
Published in
Journal of Chemical Health & Safety
A diluted 3% w/w hydrogen peroxide solution acidified to pH 2.5 by adding citric acid inactivated SARS-CoV-2 virus by more than 4 orders of magnitude in 5 min. After a contact time of 15 min, no viral replication was detected. Aqueous solutions of sodium percarbonate inactivated coronavirus by >3 log10 diminution in 15 min. Conversely, H2O2 solutio...
Townsend, Piers A Grayson, Matthew N
Published in
Chemical research in toxicology
As a field, computational toxicology is concerned with using in silico models to predict and understand the origins of toxicity. It is fast, relatively inexpensive, and avoids the ethical conundrum of using animals in scientific experimentation. In this perspective, we discuss the importance of computational models in toxicology, with a specific fo...
de Bruyn Kops, Christina Šícho, Martin Mazzolari, Angelica Kirchmair, Johannes
Published in
Chemical research in toxicology
Predicting the structures of metabolites formed in humans can provide advantageous insights for the development of drugs and other compounds. Here we present GLORYx, which integrates machine learning-based site of metabolism (SoM) prediction with reaction rule sets to predict and rank the structures of metabolites that could potentially be formed b...
Wang, Yu Liu, Donglan Lin, Huihuang Chen, Dingbin Sun, Jing Xie, Yusang Wang, Xinjie Ma, Peixiang Nie, Yan Mei, Hong
...
Published in
ACS Chemical Biology
The outbreak of novel coronavirus SARS-CoV-2 has caused a worldwide threat to public health. COVID-19 patients with SARS-CoV-2 infection can develop clinical symptoms that are often confused with the infections of other respiratory pathogens. Sensitive and specific detection of SARS-CoV-2 with the ability to discriminate from other viruses is urgen...
van Stevendaal, Marleen H. M. E. Vasiukas, Laurynas Yewdall, N. Amy Mason, Alexander F. van Hest, Jan C. M.
Published in
ACS Applied Materials & Interfaces
Polymer-stabilized complex coacervate microdroplets have emerged as a robust platform for synthetic cell research. Their unique core–shell properties enable the sequestration of high concentrations of biologically relevant macromolecules and their subsequent release through the semipermeable membrane. These unique properties render the synthetic ce...
Guilbert, Anne A. Y. Bai, Yang Aitchison, Catherine M. Sprick, Reiner S. Zbiri, Mohamed
Hydrogen fuel can contribute as a masterpiece in conceiving a robust carbon-free economic puzzle if cleaner methods to produce hydrogen become technically efficient and economically viable. Organic photocatalytic materials such as conjugated microporous materials (CMPs) are potential attractive candidates for water splitting as their energy levels ...
Er, Engin Sánchez-Iglesias, Ana Silvestri, Alessandro Arnaiz, Blanca Liz-Marzán, Luis M. Prato, Maurizio Criado, Alejandro
Published in
ACS Applied Materials & Interfaces
The detection of cancer biomarkers at an early stage of tumor development is vital for effective diagnosis and treatment of cancer. Current diagnostic tools can often detect cancer only when the biomarker levels are already too high, so that the tumors have spread and treatments are less effective. It is urgent therefore to develop highly sensitive...
Queraltó, Albert Banchewski, Juri Pacheco, Adrià Gupta, Kapil Saltarelli, Lavinia Garcia, Diana Alcalde, Núria Mocuta, Cristian Ricart, Susagna Pino, Flavio
...
Published in
ACS Applied Materials & Interfaces
Combinatorial and high-throughput experimentation (HTE) is achieving more relevance in material design, representing a turning point in the process of accelerated discovery, development, and optimization of materials based on data-driven approaches. The versatility of drop-on-demand inkjet printing (IJP) allows performing combinatorial studies thro...
