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024 7 _ |a 1095-9149
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041 _ _ |a English
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100 1 _ |a Maneesha, M.
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245 _ _ |a Engineering ZIF-67 with heteroatom-doped carbon dots for ultra-sensitive and selective detection of serum albumin in artificial body fluids
260 _ _ |a Orlando, Fla.
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520 _ _ |a The development of highly sensitive and selective biosensors is crucial for early disease, health monitoring, and treatment. In this study, Zeolitic Imidazolate Framework-67 (ZIF-67) functionalized with nitrogen-doped carbon dots (N-CQDs) is designed for the ultra-sensitive and selective detection of serum albumin in artificial body fluids. The N-CQD@ZIF-67 (NCZ-67) composite material was synthesized through a facile and environmental friendly process, leveraging the unique photoluminescent properties of nitrogen-doped carbon dots and the robust structural framework of ZIF-67. The synthesized composite is characterized using FTIR, PXRD, UV–visible spectroscopy, photoluminescence spectroscopy, Raman, EDS, XPS, and HRTEM techniques. It serves as a highly efficient ‘turn-on’ sensor for detecting bovine serum albumin (BSA) with a limit of detection (LOD) of 0.2129 µM. The sensing mechanism operates via Förster Resonance Energy Transfer (FRET). The fluorescent lifetime decay analysis of fluorophore (NCZ-67) revealed lifetimes of 2.77 μs and 2.11 μs with and without the analyte BSA, respectively, confirming the FRET mechanism. The high overlap integral value, 2.61 × 1010 indicates a significantly enhanced FRET efficiency. The Benesi-Hildebrand equation demonstrates a 1:1 interaction between the analyte BSA and the NCZ-67 sensor. Additionally, NCZ-67 shows excellence in detecting albumin in artificial body fluid samples, confirming the sensor’s ultra-sensitivity, robustness, selectivity and extending its applicability in clinical biochemical analysis. The recovery percentage of BSA in artificial body fluids is around 92–97 % further validating its potential for clinical use. The study underscores the potential of N-CQD@ZIF-67 in developing next-generation biosensors, particularly for the early detection and monitoring of liver and kidney-related disorders.
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700 1 _ |a Preethi, P. C.
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700 1 _ |a Harisankar, A.
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700 1 _ |a Sreeja, T. G.
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700 1 _ |a Ratheesh Kumar, V. K.
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700 1 _ |a Thekku Veedu, Sreevidya
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700 1 _ |a Raghunandan, Resmi
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773 _ _ |a 10.1016/j.microc.2025.113046
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