Rathish
Author – Ritesh Ranjan: Food adulteration has long been one of the biggest concerns in the food industry, especially in countries where spices and processed foods are consumed daily. Adulterated products not only compromise taste and quality but also pose serious health risks to consumers. In a significant breakthrough, NIT Rourkela has developed and patented an advanced AI-powered system that can detect spice adulteration in just seconds.
This innovation combines Fourier Transform Infrared (FTIR) Spectroscopy with Machine Learning (ML) to quickly identify impurities in spices and food products. Unlike traditional laboratory methods, this new solution is rapid, non-destructive, cost-effective, and highly accurate.
The patented technology has the potential to transform food safety standards in India and globally.
Why Food Adulteration Is a Major Concern
Food adulteration refers to the practice of adding low-cost, harmful, or inferior substances to food products for economic gain. This issue is especially common in spices, dairy products, oils, grains, and packaged foods.
Common examples include:
- Mixing brick powder in chili powder
- Adding artificial colors to turmeric
- Using sawdust in coriander powder
- Diluting milk with water or chemicals
- Mixing low-grade oils with edible oils
These practices can lead to:
- Digestive problems
- Long-term health complications
- Loss of consumer trust
- Economic fraud
- Damage to brand reputation
As the food market grows larger and more complex, faster quality testing systems are becoming essential.
What Makes NIT Rourkela’s Innovation Unique?
Traditional food adulteration detection methods such as chromatography, chemical assays, and molecular testing are reliable but often expensive and time-consuming. They also require:
- Skilled technicians
- Special chemicals
- Advanced laboratory setup
- Long testing hours
The new system developed by NIT Rourkela eliminates these limitations.
Key Advantages:
✔ Detects adulteration in seconds
✔ Non-destructive testing method
✔ No lengthy sample preparation required
✔ Accurate quantification of impurities
✔ Lower testing costs
✔ Suitable for industrial use
✔ Can be integrated into quality control systems
This makes it ideal for food manufacturers, regulators, exporters, and retailers.
How the Technology Works
The system uses FTIR Spectroscopy, a scientific method that studies how substances absorb infrared light.
Every material has a unique infrared signature. When a spice sample is scanned, the FTIR device captures its spectral fingerprint. These patterns are then analyzed using machine learning algorithms trained to identify unusual signals caused by adulterants.
Step-by-Step Process:
- Spice sample is placed in FTIR scanner
- Infrared light scans the sample
- Spectral data is collected
- AI model compares patterns with trained database
- System identifies adulteration
- Percentage of impurity is estimated instantly
This means the technology does not just detect whether a product is adulterated—it also measures how much adulteration is present.
That is a game-changer for regulatory compliance and food quality assurance.
Successful Test on Coriander Powder
One of the most notable demonstrations of the patented system was conducted on coriander powder mixed with sawdust.
Sawdust is a cheap filler sometimes used illegally to increase weight and volume.
Using FTIR plus machine learning, researchers achieved around 92% accuracy in detecting and quantifying sawdust adulteration.
This is highly significant because coriander powder is widely used in Indian households, restaurants, and food manufacturing industries.
The success of this test suggests that the same model can be adapted for:
- Turmeric powder
- Chili powder
- Black pepper
- Cumin seeds
- Flour products
- Packaged foods
Patent Details and Research Team
The patented invention is titled:
“Method and System for Detecting and Quantifying Adulteration in Food Stuff”
Patent Number: 581403
The innovation was developed by:
- Prof. Sushil Kumar Singh
- Late Prof. Poonam Singha
- Rishabh Goyal
All researchers are associated with the Department of Food Process Engineering at NIT Rourkela.
Their research findings were also published in the journal Food Chemistry.
Why This Innovation Matters for the Food Industry
India has one of the largest spice markets in the world. Ensuring quality and purity is essential for domestic consumers as well as export markets.
This technology can help:
Food Manufacturers
Detect low-quality raw materials before production begins.
Regulators
Perform quick inspections at warehouses, factories, and markets.
Exporters
Meet international food safety standards.
Consumers
Build trust in branded food products.
SMEs and Startups
Affordable testing without expensive labs.
The ability to conduct real-time screening can prevent contaminated products from reaching store shelves.
Future Scope of the Technology
The researchers plan to collaborate with industry partners for pilot-scale implementation under real manufacturing conditions.
Future expansion areas include:
- Testing milk adulteration
- Edible oil quality analysis
- Grain contamination detection
- Packaged food authentication
- Portable handheld scanners for field inspections
If commercialized successfully, this system could revolutionize food safety across India and other developing markets.
Final Thoughts
The AI-powered adulteration detection system developed by NIT Rourkela marks a major step forward in modern food safety technology.
By combining FTIR spectroscopy with machine learning, the institute has created a smart, fast, and scalable solution to a long-standing problem.
With growing consumer awareness and stricter food regulations, innovations like this are exactly what the food industry needs.
This patent could soon become one of the most practical tools in ensuring that the spices and foods we consume every day are pure, safe, and trustworthy.
FAQs
1. What has NIT Rourkela invented?
NIT Rourkela has patented an AI-powered FTIR system that detects and measures food adulteration in seconds.
2. How accurate is the system?
The technology achieved approximately 92% accuracy in detecting sawdust adulteration in coriander powder.
3. What is FTIR spectroscopy?
FTIR (Fourier Transform Infrared Spectroscopy) is a technique that identifies substances based on how they absorb infrared light.
4. Which food items can be tested?
Currently tested on coriander powder, but it can potentially be expanded to turmeric, chili powder, oils, milk, grains, and more.
5. Why is this important?
It enables faster, cheaper, and more reliable food quality testing, helping protect consumers and improve industry compliance.