Revealing the Secrets of Grapes – Elevate your Wine and Must Analysis with Automation

When it comes to quality control and production efficiency in the wine production process, composition analysis is of the utmost importance. Wine is an exquisite blend of organic compounds, involving a complex chemistry that greatly influences its flavor aroma, and overall quality. Wine-making is a process that requires constant product monitoring and requires process control from the ripening to the bottling of the finished product. (1) With the rising global demand for premium wines, wineries are faced with the challenge of maintaining consistent product excellence while optimizing their production processes. In response to this challenge, integrating Fourier Transform Infrared (FTIR) analysis systems with automated filling and cleaning functions is becoming an important addition to every wine analysis technology.

This application report presents research on three aspects of wine analysis with measuring instruments from Anton Paar, each of which helps to improve quality control, precision, and operational efficiency.

• Repeatability measurements

By subjecting the same wine or grape juice to repeated analysis, we are able to determine the consistency and reliability of the analytical system.

• Accuracy assessment

Wine measured by an external wine analysis lab is taken as reference data. Using the same wine, the report compares the measured values of Lyza 5000 Wine and Xsample 370 to those reference values.

• User-friendly automation

In the pursuit of operational excellence, ease of use became a key consideration. With the Xsample 370, the user gets an integration of automated filling, rinsing, cell care cleaning, and drying processes into daily laboratory operations. For instance, an automated cell cleaning process, which currently consumes approximately 450 seconds, liberates valuable time that users can allocate to other essential laboratory responsibilities.

In addition, a valuable indicator of Lyza 5000 Wine, the cleaning performance index (CPI) is automatically monitored throughout these measurements to provide a qualitative assessment of the measurement cell cleanliness.