Nanozyme Biosensors: Enzyme Kinetics, Assay Design & Validation Using Python

Aim

Workshop Objectives

Workshop Structure

Day 0: Orientation & Computational Research Setup ( 30 Min )

• Introduction to nanozymes, enzyme-mimicking catalysis and biosensing applications.
• Understanding the complete workflow from nanozyme kinetics to biosensor validation.
• Setting up Google Colab and Python libraries for experimental data analysis.
• Exploring UV–Vis absorbance datasets, assay images and experimental controls.

Hands-On: Set up a Google Colab notebook, import an experimental dataset and visualize nanozyme absorbance–time measurements.

Tools: Google Colab, Python, Pandas, Matplotlib

Day 1: Nanozyme Catalysis, Enzyme Kinetics & Computational Characterization

• Investigate peroxidase-like catalytic activity of Fe₃O₄, CeO₂ and Prussian Blue nanozymes.
• Analyze TMB–H₂O₂ colorimetric reaction kinetics using experimental UV–Vis absorbance datasets.
• Calculate initial reaction velocities with blank correction, replicate measurements and appropriate calibration.
• Apply nonlinear Michaelis–Menten regression to estimate apparent Km and Vmax with confidence intervals.
• Evaluate substrate-dependent catalytic activity and compare nanozyme performance under controlled experimental conditions.

Hands-On Practical: Nanozyme Kinetic Characterization

Participants will analyze experimental absorbance–time data, calculate reaction velocities, fit kinetic models, estimate apparent kinetic parameters and generate publication-style kinetic plots.

Tools: Google Colab, Python, NumPy, Pandas, SciPy, Matplotlib

Day 1 Outcome: A complete Python notebook for nanozyme catalytic activity and enzyme-mimicking kinetic analysis.

Day 2: Nanozyme Biosensor Design, AI-Assisted Assay Optimization & Colorimetric Analysis

• Design a nanozyme-based colorimetric biosensor for H₂O₂ detection and extend it to glucose sensing using a glucose oxidase–nanozyme cascade.
• Optimize nanozyme concentration, substrate concentration, pH and incubation time using experimental assay datasets.
• Analyze biosensing responses through UV–Vis calibration curves, sensitivity and signal-to-background measurements.
• Extract quantitative colorimetric signals from assay images using OpenCV and ImageJ.
• Explore machine-learning-assisted prediction of assay response using regression models and cross-validation when sufficient experimental data are available.

Hands-On Practical: Computational Biosensor Development

Participants will construct a glucose biosensing calibration workflow, process colorimetric images, compare assay conditions and develop a Python-based model to support assay optimization.

Tools: Google Colab, Python, OpenCV, ImageJ/Fiji, Scikit-learn, Pandas, Matplotlib

Day 2 Outcome: An optimized nanozyme biosensing workflow with calibration plots, image-based signal analysis and computational assay evaluation.

Day 3: Analytical Validation, Real-Sample Matrix Analysis & Research Reporting

• Determine biosensor analytical sensitivity, limit of detection (LOD), limit of quantification (LOQ) and working range using suitable validation methods.
• Evaluate repeatability, intermediate precision and reproducibility through replicate assay datasets.
• Perform selectivity testing, interference analysis and spike-recovery calculations using supplied sample-matrix data.
• Assess matrix effects, assay stability and batch-to-batch variability using experimental validation results.
• Develop a research-ready biosensor validation report with publication-quality figures and clearly defined performance criteria.

Hands-On Practical: End-to-End Biosensor Validation

Participants will analyze a complete nanozyme biosensor dataset, calculate analytical performance parameters, evaluate recovery and precision, generate validation graphs and prepare a structured analytical report.

Tools: Google Colab, Python, NumPy, Pandas, SciPy, Matplotlib, Excel

Day 3 Outcome: A reproducible analytical validation notebook and a research-style biosensor performance report.

Who Should Enrol?

Important Dates

Workshop Outcomes

Fee Structure