HPLC Chromatography Systems (GMP)

HPLC: Conventional single-column batch and twin-column continuous systems

HPLC is also known as high-performance liquid chromatography or high-pressure liquid chromatography. HPLC is the cornerstone to analytics and the production of therapeutics in the pharmaceutical industry. Able to be programmed to use a wide variety of packing chemistries, HPLC enables the purification of drugs from small-molecule entities to larger molecules such as peptides and oligos.

YMC designs, engineers, automates, manufactures, and services HPLC systems from 0.1 mL/min to over 60 LPM capacity up to 100 bar in nearly any electrical classification. These systems can be conventional single-column batch to the YMC leading twin-column continuous systems. Of course, YMC supplies standard platforms and works with customers who need custom designs.

MCSGP technology is patented by YMC

With a deep understanding of fluid dynamics—and the end-to-end requirements of chromatography processes—YMC can provide customized solutions to address your specific needs.

Experts in solvent environments, we supply systems meeting the most rigorous standards for Class 1 Div II, ATEX/NEC, or other environmental control.

All our systems are designed and manufactured in accordance with ASME/BPE guidelines. Full FAT and Turn Over Packages are available on all our skids.

Preparative Scale-Up Calculator

Let our scale-up calculator assist you in scaling up the chromatographic parameters, such as flow rate or the amount of packing material. The use of the calculator is very simple: You only have to fill in the fields with the corresponding values and, after the parameters have been scaled up, you can also select the appropriate YMC (semi) preparative columns on our overview page. Benefit from the expertise of our scale-up calculator.


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Application Search

Use our extensive Applications Search page to mine a dynamically growing collection of over 350 YMC-produced application notes.

The data can be searched by any combination of several variables, including sample classification, compound name (including partial names), and column parameters.

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