Case

How a Global Beverage Giant Minimized Water Quality Risks

At one of the world’s largest beverage production networks, water quality monitoring is business critical. Water is the primary raw material used across production, making rapid microbiological insight essential for operational continuity and product protection.

The situation

The Challenge

The site faces recurring variability in the microbiological quality of incoming municipal water. This creates uncertainty, particularly in beverage production where water is the primary raw material, as routine microbiological testing requires extended analysis time before results are available.

Traditional compendial microbiology methods required 5-7 days to generate results, limiting the team’s ability to react quickly to changes in water quality and increasing the risk of delayed corrective actions.an days by applying rapid growth-based microbial testing.

The Solution

Using the IntuGrow rapid microbiology platform, together with our vacuum filtration workflow, the customer implemented routine rapid bioburden monitoring for both incoming raw water and treated process water.

The method enabled filtration of sample volumes up to 100 mL while maintaining a practical and scalable workflow for daily operations.

 

The uncertainty window

Every hour between sampling and result is an hour of production running on assumption, not data. Here’s what closing that window looks like.

Uncertainty Window: Traditional vs IntuGrow

Traditional compendial
Result in 5 days
Contamination status unkown untill day 5
Sample taken - status unknown

Day 0

Day 1

Day 2

Day 3

Day 4

Day 5

IntuGrow
result in 3-24 hours
Same shift corrective actions possible

Day 0

Day 1

Day 2

Day 3

Day 4

Day 5

3-24 hours

IntuGrow Uncertainty Window

Results available within the same working shift as sampling. Quality and production teams can evaluate water status, trigger corrective actions, and adjust processes before the next cycle begins.

Traditional uncertainty window

Production continues for 5-7 days with no confirmed knowledge of incoming water quality. Batch decisions, treatment adjustments, and corrective actions are all delayed compounding quality risk with every passing shift. Teams must act on assumptions rather than data.

The outcome

Results