A beta-cyclodextrin based fiber-optic chemical sensor: a fractal analysis.

Area of Science:

• Analytical Chemistry
• Physical Chemistry
• Materials Science

Background:

• Fiber-optic chemical sensors offer sensitive detection methods.
• Beta-cyclodextrin is utilized for molecular recognition.
• Understanding binding kinetics is crucial for sensor optimization.

Purpose of the Study:

• To apply fractal analysis to pyrene binding on a beta-cyclodextrin fiber-optic sensor.
• To investigate the relationship between pyrene concentration and binding parameters.
• To provide insights for the design of advanced fiber-optic chemical sensors.

Main Methods:

• Fractal analysis was employed to study pyrene binding kinetics.
• Specific (k(l)) and non-specific binding rates were calculated.
• Fractal dimension (D(f)) was determined for specific binding.

Main Results:

• Both specific and non-specific binding rates increased with pyrene concentration (12.4-124 ng/ml).
• Fractal dimension (D(f)) also increased with pyrene concentration.
• Predictive relations were established for binding coefficients and D(f) as functions of pyrene concentration.

Conclusions:

• Increased pyrene concentration leads to greater surface inhomogeneity or
• ruggedness
• on the sensor.
• Fractal analysis offers novel physical insights into surface reactions.
• The findings can guide the development of more effective fiber-optic chemical sensors.