Tag Archives: green engineering

2011 AIChE Annual Meeting Highlights

The 2011 American Institute of Chemical Engineers (AIChE) Annual Meeting took place October 16 to 21 in Minneapolis, MN.  The AIChE Annual Meeting is a terrific event to: Continue reading

Green Pharmaceutical Manufacturing on a Foundation of PAT & QbD

This is a guest blog post by Paul Thomas.  Paul is Senior Editor of Pharmaceutical Manufacturing magazine, PharmaManufacturing.com, and PharmaQbD.com.

Next week, METTLER TOLEDO is hosting a webcast on using Process Analytical Technology (PAT) and Quality by Design (QbD) for the greening of drug manufacturing operations. I’ll be kicking off the program by discussing the potential of the industry to leverage PAT/QbD to meet corporate sustainability objectives such as reducing energy usage and cutting carbon emissions. It’ll be a big-picture look at the elements of PAT and QbD that overlap with sustainable manufacturing. Continue reading

Going Green: Fall Events for the Pharmaceutical and Chemical Industries

During the fall, a number of events related to green chemistry, green engineering, and other sustainability topics for the pharmaceutical and chemical industries are planned.  Some notable green events are:

How To Overcome Process Scale-Up Challenges Using Process Analytical Technology (PAT)

Process Analytical Technology for Scale-up

Process Analytical Technology

During Part I of his two part The Role of Process Analytical Technology (PAT) in Green Chemistry and Green Engineering online seminar series, Dominique Hebrault discussed scale-up challenges faced today by chemists and engineers.  Too often, offline sampling methods – mostly chromatographic methods such as High Performance Liquid Chromatography (HPLC) or Gas Chromatography (GC) – are used to monitor processes which fail to resolve common issues like reaction monitoring, poor mass balance, delayed initiation/reaction stalled, and loss of yield/by-products.  From a reaction engineering standpoint, obtaining heat mass balance information and preliminary kinetic data can be difficult using traditional offline methods during process scale-up.  Forming the final solid can be challenging using traditional offline methods, including filtration/drying a bottleneck, excessive washing, polymorph inconsistency, and batch to batch variability can be difficult.
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