Maximum efficiency thanks to precise real-time data

Discover the many possible applications of process analytical technologies (PAT) within your production processes.

Whether in the chemical industry, biotechnology or pharmaceutical production: process analytics provides valuable data directly in the process and thus enables optimized, automated and safe process control.

What is the significance of process analytics in industrial processes?

Process analytical technology (PAT) is a key element of modern production processes, particularly in the chemical, pharmaceutical and food industries. It is used to monitor, control and optimize processes in real time. Modern analysis methods such as spectroscopy or sensor technology are used to determine chemical, physical or biological parameters directly in the process flow without taking a sample and therefore without interrupting the process.

The aim is to gain a better understanding of the process, to actively control it and to be able to react more quickly to changes - without losing time due to sampling or laboratory analyses.

Typical areas of application for in-process analytics

There are many possible uses for process analytics. We have compiled the most common applications in industrial manufacturing processes for you here:

Monitoring chemical reactions

Early detection of deviations in reaction processes and targeted control of reaction endpoints, e.g. using Raman or IR spectroscopy.

Drying processes

Monitoring the moisture content in real time and thus precise control of the process.

Mixing and homogenization processes

Inline measurement of concentrations to ensure the desired product composition in real time.

Pharmaceutical production and purity control

Control of active ingredient content, moisture or purification validation using non-destructive analysis.

Separation and purification processes

Efficient and targeted control of critical process steps such as filtration, extraction or chromatography to ensure product purity.

Destillation

Real-time monitoring of substance composition for precise separation and high product yield.

Crystallization

Control of crystal growth and particle sizes for consistent quality and stable process conditions.

Real-Life Examples

Case Study 1

Inline Monitoring of a Chemical Synthesis

A chemical company uses Raman spectroscopy to continuously monitor the reaction process. Result: Shorter reaction times and improved yield with consistent product quality.

Case Study 2

Real-Time Monitoring in Biotechnology

During the fermentation of a biopharmaceutical active ingredient, oxygen, CO2 and pH value are measured in real time. The data is fed directly into the process control system - for stable processes and higher productivity.

Case Study 3

Drying Process in Food Production

NIR spectroscopy is employed to permanently monitor the residual moisture content in a dryer. The system automatically regulates the drying time - and thus prevents overdrying or underdrying.

Your added value through in-process analytics

By integrating process analytical technologies, you benefit from:

High process reliability and improved process understanding
Improved product quality and reduction of rejects
Shorter production times
Reduced process costs
Regulatory compliance

Compared to other analytical methods such as wet chemistry, spectroscopy offers a number of specific advantages:

Non-destructive analysis without sample preparation
Shorter analysis time: measurements are performed in seconds - no reagents required
Multicomponent analysis: several substances can be detected simultaneously

Get advice now

Would you like to know what application options are available for your processes? Our experts will be happy to help you choose the right technology and implement it in your production environment. Request consultation:

E-Mail: sales.analytics@hellma.com

Telefon: +49 7631 182 10 10

Process Analytics in Use