AI-Enabled Waste Biorefinery: Valorization of Seafood & Agricultural Residues into High-Value Bioproducts
Turn seafood and agricultural residues into useful bioproducts. Explore extraction, process design, and AI tools that can support better decisions.
About This Course
This three-day workshop covers the design and analysis of nanomaterial-based biosensors for point-of-care testing. Participants will learn how a biosensor detects a biological target, produces a measurable signal, and uses that signal to assess a sample. Hands-on exercises will use example sensor data to practise signal processing, visualisation, machine learning, and performance evaluation.
Aim
To help participants assess seafood and agricultural residues, design preliminary recovery pathways, and use process data to compare product and operating choices. And develop a practical understanding of nanobiosensors and the data analysis methods used to interpret their signals in point-of-care diagnostics.
Workshop Objectives
- Understand the principles of waste-to-value biorefinery.
- Explore sustainable valorization of seafood and agricultural residues.
- Understand protein, chitin and chitosan recovery from seafood waste.
- Explore biomass fractionation and production of value-added materials.
- Analyse the relationship between process conditions and product properties.
- Apply basic mass-balance and process-optimization approaches.
- Use machine learning for biorefinery process and product prediction.
- Explore techno-economic and sustainability considerations for waste valorization.
Workshop Structure
Day 1: Seafood Waste Biorefinery — Protein, Chitin & Chitosan
- Seafood waste composition, characterization and valorization opportunities.
- Processing and pretreatment of fish, shrimp and shellfish residues.
- Protein recovery and production of protein hydrolysates.
- Shrimp-shell demineralization and deproteinization.
- Chitin extraction, purification and conversion to chitosan.
- Chemical, enzymatic and fermentation-based extraction approaches.
- Yield, mass balance and recovery of valuable co-products.
Hands-on: Develop and analyse a shrimp-shell waste → protein → chitin → chitosan process workflow using experimental/literature data, including yield and process-parameter calculations.
Day 2: Agricultural Residues — Biomass Fractionation & Bioproducts
- Composition of agricultural residues: cellulose, hemicellulose and lignin.
- Feedstock selection, preprocessing and pretreatment.
- Biomass fractionation and recovery of valuable components.
- Cellulose and nanocellulose as value-added products.
- Lignin valorization and biomass-derived products.
- Biochar and activated carbon from agricultural residues.
- Product properties and characterization using FTIR, XRD, SEM, BET and thermal analysis.
Hands-on: Analyse an agricultural-residue dataset and develop a biomass → cellulose/nanocellulose or biochar conversion workflow, relating process conditions to product yield and properties.
Day 3: AI-Driven Biorefinery & Process Optimization
- Role of AI and machine learning in waste valorization and biorefinery.
- Preparing experimental and process datasets for machine learning.
- Feature engineering and identification of important process variables.
- Predicting product yield and quality using regression models.
- Random Forest and Gradient Boosting for process-property prediction.
- Design of Experiments and Response Surface Methodology.
- AI-assisted process optimization and multi-objective decision-making.
- Basic techno-economic and sustainability considerations.
- Designing an integrated waste-to-value biorefinery.
Hands-on: Build an AI-assisted waste-to-value optimization workflow:
Feedstock → Process Conditions → ML Prediction → Optimization → Product Selection
Who Should Enrol?
- Chemical and bioprocess engineers
- Biotechnology and food-science students
- Seafood-processing and agricultural-biomass researchers
- Environmental scientists
- Materials and nanotechnology researchers
- Bioinformatics and data-analysis researchers
- Faculty members and postdoctoral researchers
- Industry professionals working in waste processing
- Researchers interested in the circular bioeconomy
Important Dates
Registration Ends
September 7, 2026
IST 4:30 PM
Workshop Dates
October 7, 2026 – October 9, 2026
IST 5:00 PM
Workshop Outcomes
- By the end of the workshop, participants will be able to:
- Assess seafood and agricultural residues for potential bioproducts.
- Outline protein, chitin, and chitosan recovery from shrimp residues.
- Compare cellulose-based materials and biochar as products from agricultural biomass.
- Calculate basic product yields and material balances.
- Interpret selected process and product-characterization data.
- Build and assess a basic model for predicting product yield.
- Compare process options using yield, resource use, and product quality.
- Develop a preliminary waste-to-value biorefinery workflow.
Fee Structure
Student Fee
₹2499 | $65
Ph.D. Scholar / Researcher Fee
₹3499 | $75
Academician / Faculty Fee
₹4499 | $85
Industry Professional Fee
₹5499 | $105
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
View All Feedbacks →