Human Hdl Cholesterol Elisa Kit – 96T

Human High-Density Lipoprotein Cholesterol (HDL-C) ELISA Kit

The Human High-Density Lipoprotein Cholesterol (HDL-C) ELISA Kit is a sensitive and specific assay designed for the quantitative detection of HDL-C levels in human serum, plasma, culture media, and other biological fluids. This kit is ideal for research involving lipid metabolism, cardiovascular health, and related disorders.

Purpose

• Quantification of HDL-C Levels:
  • Measures HDL-C concentrations to study its role in cholesterol transport, lipid metabolism, and cardiovascular health.
• Sample Compatibility:
  • Suitable for human serum, plasma, and various biological fluids.

Principle

The assay employs a Sandwich-ELISA technique for specific and accurate measurement of HDL-C. Below is the workflow:

1. Pre-Coated Plate:
   • Microelisa stripplate wells are pre-coated with an antibody specific to HDL-C.
2. Sample and Standard Addition:
   • Standards and samples are added to the wells, allowing HDL-C in the sample to bind to the immobilized antibody.
3. HRP-Conjugated Detection:
   • A Horseradish Peroxidase (HRP)-conjugated antibody specific to HDL-C is added, forming a sandwich complex.
4. Washing Step:
   • Free and unbound components are washed away to minimize background interference.
5. Substrate Reaction:
   • TMB substrate solution reacts with HRP, producing a blue color in wells with HDL-C.
6. Stop Reaction and Measurement:
   • A stop solution is added, changing the color from blue to yellow. Optical density (OD) is measured at 450 nm using a spectrophotometer.
7. Quantification:
   • HDL-C concentrations are calculated by comparing OD values to a standard curve.

Key Features

1. High Sensitivity and Specificity:
   • Accurately detects low levels of HDL-C with minimal cross-reactivity or interference.
2. Wide Sample Compatibility:
   • Suitable for serum, plasma, culture media, and other biological fluids.
3. Quantitative Results:
   • Provides precise measurement of HDL-C concentrations using a standard curve.
4. Ease of Use:
   • Includes pre-coated plates and ready-to-use reagents for streamlined workflow.
5. Reproducibility:
   • Ensures consistent and reliable results across multiple experiments.

Kit Components

• Pre-coated Microelisa stripplate.
• HDL-C standards for standard curve generation.
• HRP-conjugated HDL-C detection antibody.
• TMB substrate solution.
• Stop solution.
• Wash buffer.
• Sample diluent.
• Instruction manual.

Applications

• Lipid Metabolism Research:
  • Investigate HDL-C’s role in cholesterol transport and lipid biosynthesis.
• Cardiovascular Studies:
  • Study HDL-C as a biomarker for cardiovascular health and atherosclerosis risk.
• Metabolic Disorder Research:
  • Explore HDL-C in metabolic syndrome, obesity, and diabetes.
• Drug Development:
  • Evaluate therapeutic agents targeting cholesterol metabolism.
• Clinical Diagnostics Research:
  • Assess HDL-C as part of lipid profiles in clinical diagnostics.

Advantages

1. High Accuracy:
   • Provides precise and reproducible quantification of HDL-C.
2. Convenience:
   • Ready-to-use reagents simplify preparation and assay execution.
3. Versatility:
   • Compatible with various biological sample types.
4. Reliable:
   • Delivers consistent results for robust data interpretation.

Assay Protocol Summary

1. Add standards or samples to the pre-coated wells.
2. Incubate with HRP-conjugated HDL-C antibody.
3. Wash to remove unbound components.
4. Add TMB substrate to develop color.
5. Stop the reaction and measure OD at 450 nm.
6. Calculate HDL-C concentrations using the standard curve.

Storage and Stability

• Store all kit components at 2–8°C to maintain reagent integrity.
• Avoid repeated freeze-thaw cycles to ensure assay reliability.

Conclusion

The Human High-Density Lipoprotein Cholesterol (HDL-C) ELISA Kit is an essential tool for researchers investigating lipid metabolism, cardiovascular health, and related disorders. Its high sensitivity, specificity, and user-friendly design make it invaluable for clinical and experimental applications.