Current Opinion in Electrochemistry, Journal Year: 2024, Volume and Issue: 49, P. 101627 - 101627
Published: Dec. 5, 2024
Language: Английский
Current Opinion in Electrochemistry, Journal Year: 2024, Volume and Issue: 49, P. 101627 - 101627
Published: Dec. 5, 2024
Language: Английский
Coordination Chemistry Reviews, Journal Year: 2024, Volume and Issue: 520, P. 216161 - 216161
Published: Aug. 23, 2024
Language: Английский
Citations
19Analytical 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
5Journal 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
4ACS 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
0Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: unknown, P. 159385 - 159385
Published: Jan. 1, 2025
Language: Английский
Citations
0Journal of Organometallic Chemistry, Journal Year: 2025, Volume and Issue: unknown, P. 123595 - 123595
Published: March 1, 2025
Language: Английский
Citations
0Analytical 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
0Analytical 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
0Talanta, Journal Year: 2025, Volume and Issue: unknown, P. 128175 - 128175
Published: April 1, 2025
Language: Английский
Citations
0Polymers, 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