New Particle Counting System to Analyse High Quantities of Samples
The newly developed PAMAS AS3 auto-sampling system analyses several hundred samples per day with unattended operation.

Analytical instrumentation

New Particle Counting System to Analyse High Quantities of Samples

04 Apr, 2016

Published over 10 years ago. See the latest and most current information on Analytical instrumentation.

Many laboratories are using Automatic Particle Counters to determine the solid contamination within their fluid samples. In most cases, standard sample systems are sufficient for everyday laboratory measurements. Difficulties arise when a high quantity of samples are required daily. Standard systems cannot cope with the sheer volume of samples, so laboratories analysing these very large numbers are forced to use multiple systems in parallel. This creates a higher cost for the companies and the numerous units use up a larger amount of space.

For laboratories with high sample quantities, PAMAS (Germany) has designed the new PAMAS AS3 auto-sampling system. The system incorporates an automatic measuring process, so that several hundred samples can be analysed per day. Compared to previous versions, the new PAMAS AS3 auto-sampler comprises of improved key features in relation to reliability, sample preparation, sample handling, flushing and sample dilution.

The new auto-sampling system PAMAS AS3 is designed to provide sample analysis of several hundred samples per day, with unattended operation. The development of this new product was formed around the feedback PAMAS received from users of existing PAMAS auto-samplers and also from the requirements of potential customers. Based on these requests, the new auto-sampler PAMAS AS3 now includes all the necessary requirements that have been brought forward from the users and offers new features in relation to reliability, sample preparation, sample handling, flushing and sample dilution.

The new PAMAS AS3 utilises current superior advanced PAMAS sensor technology and features all relevant requests for improvement that have been brought forward from users. 

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