Journal of Hazardous Materials, Год журнала: 2025, Номер unknown, С. 138596 - 138596
Опубликована: Май 1, 2025
Язык: Английский
Journal of Hazardous Materials, Год журнала: 2025, Номер unknown, С. 138596 - 138596
Опубликована: Май 1, 2025
Язык: Английский
Coordination Chemistry Reviews, Год журнала: 2023, Номер 497, С. 215454 - 215454
Опубликована: Сен. 27, 2023
Язык: Английский
Процитировано
89Analytical Chemistry, Год журнала: 2024, Номер 96(12), С. 5014 - 5021
Опубликована: Март 14, 2024
Different from prevalent approaches such as immunological recognition, complementary base pairing, or enzymatic regulation in current photoelectrochemical (PEC) sensing, this study reported an excited-state intramolecular proton transfer (ESIPT)-driven photon-gating PEC sensor. The sensor is developed for the detection of CO-releasing molecule-3 (CORM-3) by modifying ESIPT-switched organic fluorescent probe molecule (NDAA) onto surface a p-type semiconductor (BiOI). NDAA can be excited and exhibit strong green fluorescence after responding with CORM-3, resulting electrode-interface photon competitive absorption effect due to switch on ESIPT considerably reducing photocurrent signal. experimental results revealed that as-developed achieved good analytical performance high selectivity sensitivity, linear range 0.01–1000 μM lower limit 6.5 nM. This work demonstrates great potential family advancing analysis. It anticipated our findings will stimulate creation diverse functional probes possessing distinctive characteristics inventive sensors.
Язык: Английский
Процитировано
87TrAC Trends in Analytical Chemistry, Год журнала: 2023, Номер 167, С. 117258 - 117258
Опубликована: Авг. 26, 2023
Язык: Английский
Процитировано
52TrAC Trends in Analytical Chemistry, Год журнала: 2024, Номер unknown, С. 118027 - 118027
Опубликована: Окт. 1, 2024
Язык: Английский
Процитировано
17Langmuir, Год журнала: 2024, Номер 40(10), С. 5026 - 5039
Опубликована: Фев. 29, 2024
Metal–organic frameworks (MOFs) are a type of multifunctional material with organic–inorganic doped metal complexes that have lot unsaturated sites and consistent network structure. MOFs work has great performance for enhancing the mass transfer, signal, sensitivity as well analyte enrichment. This study highlights recent advancements MOFs-based sensors pollutant detection in water environment summarizes effect various synthetic materials on sensors. The related challenges optimization techniques been discussed. Then research results wastewater pollutants analyzed. Finally, facing sensor development outlook future
Язык: Английский
Процитировано
14RSC Advances, Год журнала: 2024, Номер 14(14), С. 9571 - 9586
Опубликована: Янв. 1, 2024
Carcinoembryonic antigens (CEAs) are prominent cancer biomarkers that enable the early detection of numerous cancers.
Язык: Английский
Процитировано
10Biosensors and Bioelectronics, Год журнала: 2024, Номер 259, С. 116371 - 116371
Опубликована: Май 6, 2024
Язык: Английский
Процитировано
10Advanced Healthcare Materials, Год журнала: 2025, Номер unknown
Опубликована: Янв. 6, 2025
Abstract Neurodegenerative diseases, particularly Alzheimer's disease and Parkinson's disease, present formidable challenges in modern medicine due to their complex pathologies the absence of curative treatments. Despite advances symptomatic management, early diagnosis remains essential for mitigating progression improving patient outcomes. Traditional diagnostic methods, such as MRI, PET, cerebrospinal fluid biomarker analysis, are often inadequate detection these diseases. Emerging porous materials, including metal–organic frameworks (MOFs), covalent–organic (COFs), MXene, zeolites, silicon, offer promising new approaches neurodegenerative These characterized by highly tunable physicochemical properties, have potential capture concentrate disease‐specific biomarkers amyloid‐beta (Aβ), tau protein, alpha‐synuclein (α‐Syn). The integration materials into advanced biosensors real‐time holds promise revolutionizing neurodiagnostic, enabling non‐invasive, sensitive, specific platforms. Furthermore, incorporation artificial intelligence (AI) machine learning (ML) techniques analysis sensor data enhances accuracy allows more efficient interpretation profiles. AI ML can optimize feature selection, improve pattern recognition, facilitate prediction progression, making them indispensable tools personalized medicine. This review explores diagnostics, emphasizing design, functionality, synergistic role advancing clinical applications.
Язык: Английский
Процитировано
1Analytica Chimica Acta, Год журнала: 2023, Номер 1266, С. 341331 - 341331
Опубликована: Май 8, 2023
Язык: Английский
Процитировано
20Nano Research, Год журнала: 2024, Номер 17(6), С. 5512 - 5528
Опубликована: Фев. 29, 2024
Язык: Английский
Процитировано
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