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Green Solvent Swap Distillation

Webinar: Green Solvent Swap Distillation

Solvent swaps are common operations within a synthetic step to setup the following reaction, extract...

Kinetic Models for Chemical Process Development

Kinetic Modeling of Chemical Reactions

By quantitatively describing the reaction kinetics, kinetic models provide valuable insights into th...

Process Development Heat Flow Data

Understanding Scale-up Risks in Early-Stage Process Development

A best practice during process development involves understanding safety risks associated with a che...

Scale-up of Batch Crystallization From Lab to Plant

Batch Crystallizer Scale-Up and Design

Scale-up of crystallization is notoriously complicated and companies are under pressure to develop s...

Dosing in Chemical Development

Safe, Unattended Dosing in Chemical Development & Scale-up

Grünenthal Process R&D safely automates dosing and runs highly exothermic reactions unattended to in...

Lubrizol Process Development and Scale-up

Lubrizol's Efficient Scale-Up & Process Control

This webinar focuses on how to improve process development and scale-up by leveraging calorimetry an...

實驗研究的有效設計

實驗研究的有效設計

實驗設計(DoE)提供了通過同時檢查多個因素的方法來單獨檢查每個反應參數的替代方法,從而識別相關因素和它們之間的相互作用。

Is Scale-up Systems the same company as METTLER TOLEDO?

As of Friday, October 1st, 2021 Scale-up Systems has become part of the METTLER TOLEDO Group. Our organization will join the METTLER TOLEDO AutoChem business that is serving many of the same customers in the pharmaceutical industry. We are excited about the opportunities this important step in our company history presents.

The combination of our widely used Scale-up Suite™ process development and scale-up software with METTLER TOLEDO's market-leading products and services for biological and chemical process development creates the most comprehensive offerings for these important applications in the pharmaceutical and chemical industry.

We are committed to continuing to deliver the excellent products and customer support that our customers have come to expect from Scale-up Systems and look forward to adding the global strengths of METTLER TOLEDO.

What is process scale-up and tech transfer?

Process scale-up generally refers to increasing the production capacity by operating a chemical process in larger equipment. For example, transferring a process from the lab scale to a pilot plant or from a pilot plant to a full-scale manufacturing plant. Transferring a process across scales will often impact the physical rates in the synthesis, such as mixing, heat transfer, and mass transfer. Understanding the impact of these rates on a process is critical to designing the process to operate efficiently and robustly while producing quality products at new scales.

Transferring a process into new equipment or sites is generally referred to as a technology transfer (tech transfer) and may involve scale-up, scale-down, or scale-neutral transitions. Our process modeling software in the Scale-up Suite provides an easy-to-use and comprehensive platform for making calculations and performing simulations that can account for the physical rates, ensuring a right first time scale-up and successful tech transfer.

What is the scale-up process?

As a chemical process is developed, more material must be produced to eventually achieve commercial production demands. Often, a chemical process is scaled up several times, over orders of magnitude, from small lab bench scale to medium pilot plant facilities to large full-scale manufacturing plants.

New pharmaceuticals frequently require several scale-ups due to the increasing demands of pre-clinical studies and clinical trials before regulatory approval of the manufacturing process. Achieving quality material at expected yields when transferring a process (right first time) is important to accelerate the development of new processes and the pace of products reaching the market. Our process modeling software in the Scale-up Suite enables you to achieve these goals and accelerate process development while dealing with increasingly complex processes.