研究目的
To develop a highly specific and sensitive fluorometric biosensor for bilirubin detection in human urine and blood serum samples using human serum albumin templated copper nanoclusters.
研究成果
The HSA-CuNCs-based fluorometric method provides a highly sensitive, selective, and cost-effective approach for bilirubin detection in clinical samples, with low detection limits and good recovery rates, demonstrating potential for diagnostic applications.
研究不足
The study is limited to in vitro applications and may require validation in more complex biological matrices. The synthesis and detection processes are optimized for specific conditions, and potential interference from other biomolecules in real samples could affect accuracy. The method relies on fluorescence quenching, which might be influenced by environmental factors.
1:Experimental Design and Method Selection:
The study involved synthesizing HSA-stabilized copper nanoclusters (HSA-CuNCs) at room temperature using hydrazine hydrate as a reducing agent and HSA as a stabilizing template. The fluorometric method was chosen for bilirubin detection due to its high selectivity, sensitivity, and cost-effectiveness.
2:Sample Selection and Data Sources:
Human serum albumin, bilirubin, and other chemicals were purchased from suppliers. Human blood serum and urine samples were obtained from a hospital for real sample analysis.
3:List of Experimental Equipment and Materials:
Instruments included JASCO FP-6600 spectrofluorometer, JASCO V-630 UV-visible spectrophotometer, JEOL JEM 2100 HR-TEM, Horiba Scientific TCSPC unit, Shimadzu FT-IR 8000 spectrophotometer, Zeta-sizer Nano ZS, and Bruker Advanced D8 XRD. Materials included HSA, CuSO4, N2H
4:H2O, NaOH, and various interfering substances. Experimental Procedures and Operational Workflow:
HSA-CuNCs were synthesized by mixing HSA with CuSO4, adjusting pH to ~12 with NaOH, adding N2H
5:H2O, stirring for 240 min, and purifying by dialysis. Bilirubin detection involved mixing bilirubin with HSA-CuNCs in PBS buffer, equilibrating for 6 min, and measuring emission spectra at 390 nm excitation. Data Analysis Methods:
Emission intensity changes were analyzed using Stern-Volmer and double logarithmic equations to determine quenching constants and binding affinity. Statistical analysis included calculating limits of detection and recovery percentages.
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spectrofluorometer
FP-6600
JASCO
Recording emission spectral measurements
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UV-visible spectrophotometer
V-630
JASCO
Recording absorption spectral measurements
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high resolution transmission electron microscope
JEM 2100
JEOL
Obtaining HR-TEM images
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FT-IR spectrophotometer
FT-IR 8000
Shimadzu
Performing Fourier transform infrared spectral experiments
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Zeta-sizer
Nano ZS
Malvern
Carrying out zeta potential and dynamic light scattering analysis
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X-ray diffractometer
Advanced D8
Bruker
Performing powder X-ray diffraction analysis
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time correlated single-photon counting unit
TCSPC
Horiba Scientific
Performing fluorescence decay lifetime analyses
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