Results 131 to 140 of about 32,045 (247)

Click'n ROPISA: One‐Pot Synthesis of Ultrabright Fluorescent Nanoparticles Made of Polypeptides

Angewandte Chemie, EarlyView.
Self‐assembly and fluorophore conjugation proceed rapidly in a one‐pot “Click'n ROPISA” process, yielding intensely fluorescent polypeptide nanoparticles with tunable visible emission. High dye loading enables efficient energy transfer and single‐particle visualization, while the straightforward synthesis provides versatile access to bright ...
Amin El Jarroudi Hammou, Juliette Lavainne, Rohit Mangalwedhekar, Jyothis Devasia, Laurent Cognet, Sébastien Lecommandoux, Colin Bonduelle, Chloé Grazon   +7 more
wiley   +2 more sources

Enterohemorrhagic <i>Escherichia coli</i> Detection by Aptamer-Functionalized Stokes-Shifted Quantum Dots. [PDF]

ACS Omega
Khalid-Salako F, Tiktaş K, Kurt H, Yüce M.   +3 more
europepmc   +1 more source

Asking the 5 W's for designing next‐generation bioprocessing

AIChE Journal, EarlyView.
Abstract Biotechnology is expanding beyond traditional, centralized fermentation and toward next‐generation bioprocessing paradigms that emphasize flexible deployment outside the laboratory with application‐specific performance. However, many bioprocesses fail to translate beyond proof‐of‐concept into industrially viable systems because early design ...
Sangdo Yook, Karoline Maria Vieira Nogueira, Raj Sukumar, Jenna Miller, Hal S. Alper   +4 more
wiley   +1 more source

Au(I) Complex With an Abnormal Carbene Ligand Shows Anti‐Kasha Dual Photoluminescence Emission

Angewandte Chemie, EarlyView.
Incorporation of an abnormal N‐heterocyclic carbene into a heteroleptic linear Au(I) complex induces anti‐Kasha dual emission responsive to biologically relevant phenyl sulfate. ABSTRACT We report the first photoactive linear Au(I) complex with an abnormal N‐heterocyclic carbene (aNHC) ligand, Au(aIm)(Cz).
Natesan Mannangatti Rajendran, Seung Beom Cheon, Jungbin Shin, Ye Bin Jang, Taeyoon Kim, Youngmin You   +5 more
wiley   +2 more sources

Garland Rolling Circle Amplification Mediated Self-Priming Extension Strategy for Sensitive and Label-Free <i>Pseudomonas aeruginosa</i> Analysis in Perioperative Period. [PDF]

J Microbiol Biotechnol
Xu Y, Wei L.
europepmc   +1 more source

Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring

Advanced Intelligent Discovery, EarlyView.
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira, Marcos de C. Leite, Pedro H. M. Zanineli, Juliana N. Y. Costa, Débora M. Cunha, Sophia P. Serra, Pedro H. Sophia, Flávio M. Shimizu, Yasmin W. Moura, Célio C. Oliveira, Gabriel R. Schleder, Gabriela F. Persinoti, Leandro Merces, Renato S. Lima   +13 more
wiley   +1 more source

Deep Learning Enables Identification of Antimicrobial Peptides Through Mechanochromic Fingerprints

Angewandte Chemie, EarlyView.
We demonstrate a new platform for antimicrobial peptide identification by combining polydiacetylene, hyperspectral imaging, and deep learning. The trained model classifies distinct spectral fingerprints into 14 peptide classes with 96.79% accuracy, revealing previously hidden molecular information beyond conventional colorimetric sensing.
Jiali Chen, Che‐Lun Chin, Qingzhen Zhu, Ling Chao, Kaori Sugihara   +4 more
wiley   +2 more sources

High-Precision Detection of Magnetic Nanoparticles in Microfluidic Biosensing Systems. [PDF]

Biosensors (Basel)
Brown D, Manuel W, Luu D, Luong TD, Vega MM, Phan MH.   +5 more
europepmc   +1 more source

Combined plasmonic and electrochemical biosensing techniques based on gold nanopit arrays

Published by RWTH Aachen University ...
openaire   +2 more sources

A NEAT Approach to Evolving Neural‐Network‐Based Optimization of Chiral Photonic Metasurfaces: Application of a NeuroEvolution‐of‐Augmenting‐Topologies Pipeline

Advanced Intelligent Systems, EarlyView.
Neuro‐evolution can boost machine‐learning optimization of chiral metasurfaces. By integrating the NEAT algorithm into a deep‐learning framework, we enable the efficient design of visible‐spectrum chiroptical responses. NEAT autonomously evolves neural‐network architectures and weights, reducing manual tuning.
Davide Filippozzi, Arash Rahimi‐Iman
wiley   +1 more source