New Year Offer End Date: 30th April 2024
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Program

Microplastics & Mitigation: Science to Solutions

From Detection to Remediation: Advancing Science and Technology to Combat Microplastic Pollution.

Skills you will gain:

About Program:

Microplastics and nanoplastics (MNPs) have emerged as a major global environmental challenge affecting ecosystems, human health, and industrial systems. This 3-day advanced workshop bridges analytical chemistry, environmental toxicology, AI-powered data analysis, and mitigation engineering to provide participants with a complete workflow—from microplastic detection to real-world remediation strategies.

Participants will explore cutting-edge techniques such as automated μ-Raman spectroscopy and QCL-based spectral fingerprinting for particle identification, evaluate ecological and human health risks through advanced in-vitro models, and develop engineering solutions for mitigation using biomaterials, advanced filtration systems, and bioremediation pathways.

Hands-on sessions in Google Colab will demonstrate how machine learning, computer vision, and simulation techniques can accelerate microplastic research and policy decision-making.

Aim: To equip researchers and professionals with advanced analytical, AI-driven, and engineering approaches for detecting microplastics, assessing their ecological and health impacts, and developing sustainable mitigation strategies.

Program Objectives:

What you will learn?

📅 Day 1: Precision Characterization & Analytical Workflows

  • Objective: Mastering the transition from environmental sampling to high-fidelity data
  • Advanced Spectral Fingerprinting: Leveraging Quantum Cascade Laser (QCL) and automated μ-Raman spectroscopy for sub-micron particle identification
  • The Weathering Paradigm: Analyzing the “Eco-corona” effect—how biological and chemical biofilms alter the toxicological profile of aged polymers
  • Data Harmonization: Implementing ISO/TC 61/SC 14 standards for global inter-laboratory reproducibility
  • 💻 Technical Practicum 01 (Google Colab): AI-Driven Spectroscopy Interpretation
  • Implementing a machine learning (Random Forest/SVM) pipeline to automate classification of unknown polymers against the Open Specy database, reducing manual processing time by 80%

📅 Day 2: Ecotoxicology & The Human Health Frontier

  • Objective: Assessing biological risk through the lens of bio-accumulation and translocation
  • Advanced In-Vitro Modeling: Utilizing Organ-on-a-Chip and 3D cell culture models to simulate MNP translocation across the human intestinal and blood-brain barriers
  • Atmospheric Flux & Tire-Wear Particles: Modeling the long-range transport and deposition of “invisible” microplastics in urban and polar regions
  • Regulatory Compliance: A deep dive into the 2026 EU Microplastics Restriction and its impact on the cosmetics, detergent, and agricultural sectors
  • 💻 Technical Practicum 02 (Google Colab): Computer Vision for Morphology Quantification
  • Deploying a pre-trained YOLOv10 neural network to perform real-time counting, sizing, and shape-factor analysis (sphericity vs. fiber) from microscopic image datasets

📅 Day 3: Mitigation Engineering & Circular Economy Solutions

  • Objective: Engineering a plastic-neutral future through innovation and remediation
  • Next-Generation Materials: Designing for degradability—Polyhydroxyalkanoates (PHAs) and cellulose-based structural alternatives with zero-microplastic footprint
  • Industrial Filtration Architecture: Engineering biomimetic captures and advanced oxidation processes (AOPs) for high-efficiency wastewater treatment
  • Bioremediation & Enzymatic Pathways: Assessing the commercial viability of PETase and microbial consortia for localized plastic waste neutralization
  • 💻 Technical Practicum 03 (Google Colab): Intervention Impact Simulation
  • Using Monte Carlo simulations to model the efficacy of different industrial filtration strategies on long-term environmental concentration trends, supporting data-driven policy decisions

Mentor Profile

Fee Plan

INR 1999 /- OR USD 50

Get an e-Certificate of Participation!

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Intended For :

  • Researchers, environmental scientists, chemists, and sustainability professionals working on plastic pollution.

  • PhD scholars and academicians in environmental science, materials science, toxicology, or marine studies.

  • Policymakers, regulatory experts, and industry professionals interested in plastic sustainability.

  • Basic familiarity with Python or data analysis is helpful but not required.

Career Supporting Skills

Program Outcomes

Characterize and classify microplastics using advanced spectroscopy and AI tools.

Apply computer vision to quantify microplastic morphology from microscopy images.

Evaluate ecological and human health risks associated with microplastic exposure.

Design mitigation strategies including biomaterials, filtration systems, and enzymatic degradation.

Model long-term environmental impacts of intervention strategies using simulation techniques.