Keyword search (4,164 papers available)

"sensors" Keyword-tagged Publications:

Title Authors PubMed ID
1 Wearable biosensors: A comprehensive overview Wu KY; Su ME; Kim Y; Nguyen L; Marchand M; Tran SD; 40683741
ENCS
2 In Shift and In Variance: Assessing the Robustness of HAR Deep Learning Models Against Variability Khaked AA; Oishi N; Roggen D; Lago P; 39860799
ENCS
3 Research Trends in the Development of Block Copolymer-Based Biosensing Platforms Chung YH; Oh JK; 39590001
CHEMBIOCHEM
4 Carbon based sensors for air quality monitoring networks; middle east perspective Shahid I; Shahzad MI; Tutsak E; Mahfouz MMK; Al Adba MS; Abbasi SA; Rathore HA; Asif Z; Chen Z; 38831915
ENCS
5 Unique Photoactivated Time-Resolved Response in 2D GeS for Selective Detection of Volatile Organic Compounds Mohammadzadeh MR; Hasani A; Jaferzadeh K; Fawzy M; De Silva T; Abnavi A; Ahmadi R; Ghanbari H; Askar A; Kabir F; Rajapakse RKND; Adachi MM; 36658730
PHYSICS
6 Seeing is believing: tools to study the role of Rho GTPases during cytokinesis Koh SP; Pham NP; Piekny A; 34405757
BIOLOGY
7 On the Impact of Biceps Muscle Fatigue in Human Activity Recognition. Elshafei M, Costa DE, Shihab E 33557239
ENCS
8 Recent Advances of DNA Tetrahedra for Therapeutic Delivery and Biosensing. Copp W, Pontarelli A, Wilds CJ 33506614
CHEMBIOCHEM
9 Towards Detecting Biceps Muscle Fatigue in Gym Activity Using Wearables. Elshafei M, Shihab E 33498702
ENCS
10 WAUC: A Multi-Modal Database for Mental Workload Assessment Under Physical Activity Albuquerque I; Tiwari A; Parent M; Cassani R; Gagnon JF; Lafond D; Tremblay S; Falk TH; 33335465
PERFORM
11 A Quantitative Comparison of Overlapping and Non-Overlapping Sliding Windows for Human Activity Recognition Using Inertial Sensors. Dehghani A, Sarbishei O, Glatard T, Shihab E 31752158
ENCS

 

Title:Research Trends in the Development of Block Copolymer-Based Biosensing Platforms
Authors:Chung YHOh JK
Link:https://pubmed.ncbi.nlm.nih.gov/39590001/
DOI:10.3390/bios14110542
Publication:Biosensors
Keywords:biosensing platformsbiosensorsblock copolymersnanostructuresself-assembly
PMID:39590001 Category: Date Added:2024-11-26
Dept Affiliation: CHEMBIOCHEM
1 Department of Chemical Engineering, Hoseo University, Asan-si 31499, Republic of Korea.
2 Department of Chemistry and Biochemistry, Concordia University, Montreal, QC H4B 1R6, Canada.

Description:

Biosensing technology, which aims to measure and control the signals of biological substances, has recently been developed rapidly due to increasing concerns about health and the environment. Top-down technologies have been used mainly with a focus on reducing the size of biomaterials to the nano-level. However, bottom-up technologies such as self-assembly can provide more opportunities to molecular-level arrangements such as directionality and the shape of biomaterials. In particular, block copolymers (BCPs) and their self-assembly have been significantly explored as an effective means of bottom-up technologies to achieve recent advances in molecular-level fine control and imaging technology. BCPs have been widely used in various biosensing research fields because they can artificially control highly complex nano-scale structures in a directionally controlled manner, and future application research based on interactions with biomolecules according to the development and synthesis of new BCP structures is greatly anticipated. Here, we comprehensively discuss the basic principles of BCPs technology, the current status of their applications in biosensing technology, and their limitations and future prospects. Rather than discussing a specific field in depth, this study comprehensively covers the overall content of BCPs as a biosensing platform, and through this, we hope to increase researchers' understanding of adjacent research fields and provide research inspiration, thereby bringing about great advances in the relevant research fields.





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