In the highly competitive beer industry, optimized costs and consistent production are two important cornerstones of successful brewing operations. A new Guide from METTLER TOLEDO explains the values of using in-line measurements for monitoring and controlling brewing processes.

In brewing operations, it is vital that process reliability is always high and consistent. Central to this aim is timely measurement of the analytical parameters in wort, beer, water, and process gases. Although analysis of grab samples offers accurate results, it is time consuming and carries the risk of non-representative samples. In addition, it does not supply continuous, immediate data; therefore, any required corrective action is likely to be deployed later than is desirable.

In contrast, in-line measurements using process analytical equipment reduces the workload of laboratory staff and supplies a constant stream of real-time data, allowing rapid corrective action when necessary. Most significantly, in-line analytical measurements enable reliable, consistent production of beer.

METTLER TOLEDO has released a new Guide, "In-line Analytical Measurements for Brewing Process Optimization", which describes how processes from the brew house to the filling line to effluent monitoring can all benefit from in-line measurement solutions. The Guide also explains how METTLER TOLEDO's digital sensor technology, Intelligent Sensor Management, leads to increased operational uptime of brewery processes.

The complimentary guide can be downloaded from

Contact details:
Mettler-Toledo International Inc.
Im Langacher, Zip Code 8606
Greifensee, Switzerland
E-Mail : [email protected]
Phone : +41-44-9443385
Website :

About METTLER TOLEDO Process Analytics
METTLER TOLEDO's Process Analytics division develops and manufactures instrumentation and sensors used for process measurement and control, offering measurements of pH, dissolved and gaseous oxygen, dissolved ozone, turbidity, oxygen reduction potential, resistivity/conductivity, total organic carbon and flow.