The analysis of ketchup quality is important to ensure product consistency, consumer safety and satisfaction. Despite the importance of quality analysis, techniques such as visible near-infrared (visNIR) spectroscopy in ketchup analysis remain limited.

This whitepaper investigates the use of ProfilePrint’s Orca analyser, employing visNIR spectroscopy, to rapidly and non-destructively assess the quality of commercial ketchups. By capturing unique “digital fingerprints” of each sample, Orca enables the development of predictive AI models for key quality parameters such as viscosity, carbohydrate content, and shelf life, all from a single set of scans. This holistic approach of analysing the overall spectral profile rather than individual components offers a faster and more efficient alternative to traditional methods like consistometer measurements. Integrating the technology with AI enables rapid sample screening, prioritising samples for further analysis while keeping human experts in the loop for final decision-making. This enhances ketchup quality control by improving efficiency and reducing costs, ultimately accelerating time-to-market.

Read more in the white paper.