Recent Advances in Tetraphenylethylene-Based Aggregation-Induced Electrochemiluminescence for Biosensing Applications DOI
Zhiyong Dong,

Fangxin Du,

Wei Zhang

et al.

Current Opinion in Electrochemistry, Journal Year: 2024, Volume and Issue: 49, P. 101627 - 101627

Published: Dec. 5, 2024

Language: Английский

Innovative strategies in metal-organic frameworks for enhanced electrochemiluminescence biosensors DOI
Kai Song, Wei Zhao,

Yan Zhou

et al.

Coordination Chemistry Reviews, Journal Year: 2024, Volume and Issue: 520, P. 216161 - 216161

Published: Aug. 23, 2024

Language: Английский

Citations

19

Novel Efficient Selenium-Based D−π–A NIR Polymer Dots Anodic Electrochemiluminescence Emitter and Its Application in Simultaneous Detection of Two Pneumonia Pathogens with CdS Quantum Dots DOI

Ziwang Mao,

Chenji Dai,

Yaoyao Xu

et al.

Analytical Chemistry, Journal Year: 2024, Volume and Issue: 96(31), P. 12760 - 12766

Published: July 26, 2024

Community-acquired pneumonia (CAP) is a major cause of death in children under 5 years old globally. With Streptococcus pneumoniae (S. pneumoniae) and Mycoplasma (M. being the main pathogens linked to CAP that requires hospitalization, there an urgent need for straightforward, cost-efficient, highly accurate diagnostic method immediate early detection CAP. In this work, benzo[1,2-c;4,5-c′]bis([1,2,5]thiadiazole) (BBT) as π-bridge spacer with donor unit poly(9,9-dioctylfluorene) (PF) acceptor dithienylbenzoselenadiazole (DBS) has been successfully copolymerized unprecedentedly prepare novel D−π–A selenium-based polymer dots efficient NIR electrochemiluminescence (named Se-Pdots work). exclusively generated excellent anodic ECL two-component coreaction system comprising TPrA K2S2O8. Moreover, potential-resolved biosensor simultaneously detect S. M. also constructed based on Se-based Pdots emitter CdS QDs cathodic emitter. Under optimal conditions, wide linear range (10–15 10–9 M) M), low limits (0.56 fM) (0.96 fM). The proposed provides simple, sensitive, reliable simultaneous clinical applications.

Language: Английский

Citations

5

Frontiers in Fluorescence imaging: Tools for the In-Situ Sensing of Disease Biomarkers DOI
Lei Yang, Hongwei Hou, Jinghong Li

et al.

Journal of Materials Chemistry B, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 3, 2024

A comprehensive overview of recent advancements in fluorescence imaging techniques for situ sensing various biomarkers, emphasizing the transformative potential artificial intelligence shaping future bioimaging.

Language: Английский

Citations

4

Quantitative Study on the Charge-Dependent Uptake of Ultrasmall Fluorescent Gold Nanoclusters in 3D Spheroids of Cancer Cells DOI
Ximeng Wang, Zhengya Yue,

Wencheng Zhong

et al.

ACS Applied Materials & Interfaces, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 7, 2025

Gold nanoclusters (AuNCs) have garnered significant attention in biomedical applications, particularly biosensing, cancer therapy, and imaging, due to their unique optical property, good biocompatibility, distinct bioactivity. Understanding the cellular uptake behavior of AuNCs is critical improve efficacy whose mechanism has not been adequately validated. In this work, we synthesized with varying surface modifications quantify exact law charge on a multidimensional manner by using 3D multicellular tumor spheroids both HeLa cells MCF-7 as model system. By combined use fluorescence live cell imaging inductively coupled plasma–mass spectrometry, systematically investigated effect rate, intracellular versus intercellular distribution, penetration depth quantitative manner. Our results showed that was strongly dependent, efficiency increasing degree positive charges. A similar charge-dependent observed 2D cultures spheroids, but difference less pronounced, comparison model. The AuNCs' quantified multiple dimensions which also provides crucial knowledge for effective therapeutics applications based other nanomaterials.

Language: Английский

Citations

0

Near-infrared electrochemiluminescence/smart visual dual-channel sensor based on magnetic derivative and microchip of terbium-based double-ligand MOG for detecting nitrofurazone and Cr(VI) DOI
Linjun Cai, Hao Wen,

Yichuan Cao

et al.

Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: unknown, P. 159385 - 159385

Published: Jan. 1, 2025

Language: Английский

Citations

0

Comparative Electrochemiluminescence Studies about Bis-Tridentate Iridium(III) Complexes Comprising N-Heterocyclic Carbene DOI

Yaoyao Xu,

Chenji Dai,

Ziwang Mao

et al.

Journal of Organometallic Chemistry, Journal Year: 2025, Volume and Issue: unknown, P. 123595 - 123595

Published: March 1, 2025

Language: Английский

Citations

0

Boron Ligands Boosting the Electrochemiluminescence Performance of Europium Metal–Organic Frameworks by Facilitating the Electronic Bridging DOI
Shuying Li, Zhengang Han, Zhilan Wang

et al.

Analytical Chemistry, Journal Year: 2025, Volume and Issue: unknown

Published: March 11, 2025

For optimal energy transfer in self-luminous lanthanide metal-organic frameworks (Ln-MOFs), the of lowest triplet excited state must align with ideal levels. Failure to meet this condition can lead reverse transfer, reducing luminous efficiency. In study, we developed a mixed-ligand MOF, Eu-TCPP-BOP, which exists as an ECL self-enhancing luminophore. We used SPECM study role boron ligands bridge for electron transport improving performance Eu-TCPP. The H4TCPP and 5-BOP act donor shuttle, facilitating during synthesis Eu-TCPP-BOP promoting acceptor Ln3+, thus enhancing overall Ln-MOF. results indicate that introduction enhances intensity Eu-TCPP by factor 1.4 under voltage excitation. As sensing platform, it demonstrates high sensitivity selectivity detection catechol, concentration range 1∼70 μM limit 0.35 μM.

Language: Английский

Citations

0

Selenenylsulfide Bond as a General Scaffold for Constructing Thiol Probes with Enhanced Response Rate DOI
Tao Ma, Jintao Zhao, Bingbing Chang

et al.

Analytical Chemistry, Journal Year: 2025, Volume and Issue: unknown

Published: March 21, 2025

Leveraging disulfide (-S-S-) or diselenide (-Se-Se-) units as triggers in the design of small-molecule fluorescent probes for detecting intracellular reductive species has demonstrated high efficacy. However, selenenylsulfides, which exhibit reactivity between diselenides and disulfides, remain relatively unexplored. In this work, we compare efficiency -S-S-, seleno-sulfur (-Se-S-), sulfur-selenium (-S-Se-) structural constructing thiol probes, disclose scaffold -Se-S- a versatile recognition site thiols, successfully apply unit to near-infrared (NIR) probe, ASC-SeS. The mechanism reveals that breaking bond leads selenolate, undergoes faster cyclization than corresponding thiolate is from cleavage -S-S- -S-Se- bond. Conjugation trigger with multiple NIR fluorophores validates general applicability linear selenenylsulfides accelerating response rate thiols. By harnessing superior responsiveness ASC-SeS, employ probe live cells vivo, elucidate severe depletion thiols drug-induced liver injury (DILI).

Language: Английский

Citations

0

Bipedal DNA walker integrated resonance energy transfer to construct a sensitive electrochemiluminescence biosensor for serotonin detection DOI
Hongyuan Li, Yan Jiao, Yibing Shi

et al.

Talanta, Journal Year: 2025, Volume and Issue: unknown, P. 128175 - 128175

Published: April 1, 2025

Language: Английский

Citations

0

Machine Learning in Polymeric Technical Textiles: A Review DOI Open Access
Ivan Malashin,

Dmitry Martysyuk,

В С Тынченко

et al.

Polymers, Journal Year: 2025, Volume and Issue: 17(9), P. 1172 - 1172

Published: April 25, 2025

The integration of machine learning (ML) has begun to reshape the development advanced polymeric materials used in technical textiles. Polymeric materials, with their versatile properties, are central performance textiles across industries such as healthcare, aerospace, automotive, and construction. By utilizing ML AI, researchers now able design optimize polymers for specific applications more efficiently, predict behavior under extreme conditions, develop smart, responsive that enhance functionality. This review highlights transformative potential polymer-based textiles, enabling advancements waste sorting (with classification accuracy up 100% pure fibers), material (predicting stiffness properties within 10% error), defect prediction (enabling proactive interventions fabric production), smart wearable systems (achieving response times low 192 ms physiological monitoring). AI technologies drives sustainable innovation enhances functionality textile products. Through case studies examples, this provides guidance future research using technologies.

Language: Английский

Citations

0