Tea Analysis Workflow (Sample Prep → LC-QTOF → Data Processing → AI)
Machine Learning Model (90%+ Accuracy on 1000+ Samples)
Overview
How do we find the high quality of tea leaves in China? We use to try on our tea markers, their smell and taste - just global tea lovers, and that is it in short. But we are offering an alternative approach combining LC-QTOF with AI.
The Challenge
Traditional tea quality assessment relies heavily on sensory evaluation by expert tasters, which can be subjective and variable. We needed a more objective and consistent approach to evaluate tea quality.
Our Solution
Our combined LC-QTOF and AI approach offers:
- Objective chemical profiling of tea leaves
- AI-powered quality classification
- Consistent results across different samples
- Identification of key chemical markers for quality
Key Results
This innovative approach provides a powerful tool for tea quality assessment, combining the analytical power of LC-QTOF with the pattern recognition capabilities of artificial intelligence to deliver reliable and objective quality evaluations.