Results 201 to 210 of about 1,694,406 (363)

Catalytic TiO2 with Self‐Assembled Monolayer for Highly Sensitive, Selective, and Non‐Invasive Monitoring of Sweat L‐Cysteine

open access: yesAdvanced Functional Materials, EarlyView.
A self‐assembled monolayer of 3‐mercaptopropyltrimethoxysilane (MPTS) molecular receptor and titanium oxide‐modified carbon cloth (MPTS/TiO2/CC) was synthesized for the specific detection of sweat L‐cysteine, which is associated with the precision neutrition, cardiovascular system and neuro system.
Xiangjie Chen   +11 more
wiley   +1 more source

Clinical outcomes and prognostic factors of pemphigus vulgaris and pemphigus foliaceus: A 20-year retrospective study

open access: yesChinese Medical Journal
Hongda Li   +17 more
doaj   +1 more source

Inflammatory Skin Diseases: The Importance of Immunological Signatures. [PDF]

open access: yesDtsch Arztebl Int
Garzorz-Stark N   +5 more
europepmc   +1 more source

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

open access: yesAdvanced Functional Materials, EarlyView.
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz   +3 more
wiley   +1 more source

Emerging 2D Materials and Their Hybrid Nanostructures for Label‐Free Optical Biosensing: Recent Progress and Outlook

open access: yesAdvanced Functional Materials, EarlyView.
This review highlights recent advances in label‐free optical biosensors based on 2D materials and rationally designed mixed‐dimensional nanohybrids, emphasizing their synergistic effects and novel functionalities. It also discusses multifunctional sensing platforms and the integration of machine learning for intelligent data analysis.
Xinyi Li, Yonghao Fu, Yuehe Lin, Dan Du
wiley   +1 more source

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