Sartorius Stedim Biotech Gmbh

The Automation Partnership (cambridge) Limited

Sartorius Stedim Data Analytics Ab

The Automation Partnership Ltd.

Marek Hoehse

Christian Grimm

Thomas Regen

Adrian James Stacey

Angus Woodhams

Isabelle Gay

Aspects of the application relate to methods, a computer program and a process control device. According to one aspect, a computer-implemented method for determining a multivariate process chart is provided. The multivariate process chart is to be used to control a process to produce a chemical, pharmaceutical, biopharmaceutical and/or biological product. The multivariate process chart includes a first trajectory, an upper limit for the first trajectory and a lower limit for the first trajectory.

Multivariate process chart to control a process to produce a chemical, pharmaceutical, biopharmaceutical and/or biological product

A computer-implemented method for spectroscopic analysis of biological material is provided that includes analyzing samples of biological material from a plurality of sources, and delivering samples of biological material to at least one flow cell for spectroscopy, and determining whether the spectroscopic analysis for each sample of the plurality of samples is or is predicted to be ambiguous in that it is affected by at least two non-discriminable factors. If such a determination is made, a disambiguating step can be performed.

Computer-implemented method and system for spectroscopic analysis of biological material

A method of predicting a parameter of a medium to be observed in a bioprocess based on Raman spectroscopy including the steps of acquiring a first series of preparatory Raman spectra of an aqueous medium using a first measuring assembly; normalizing the first series of preparatory Raman spectra based on a characteristic band of water from at least one Raman spectrum acquired with the first measuring assembly; building a multivariate model for the parameter based on the normalized preparatory Raman spectra; acquiring predictive Raman spectra of the medium to be observed during the bioprocess with another measuring assembly; normalizing the predictive Raman spectra based on a characteristic band of water from at least one Raman spectrum acquired with the other measuring assembly; and applying the built model to the predictive Raman spectra for predicting the parameter.

Method and device assembly for predicting a parameter in a bioprocess based on Raman spectroscopy and method and device assembly for controlling a bioprocess

A disposable port device for connecting a functional unit to a flexible wall of a disposable container includes a flange to be connected to the flexible wall of the disposable container and an insert providing or receiving the functional unit. The flange and the insert are separate parts made from different materials with different material characteristics. A method of manufacturing such a disposable port device includes the steps of producing the flange from a first material, producing the insert from a different second material, the first and second materials having different material characteristics, and connecting the insert to the flange.

Disposable port device for connecting a functional unit to a flexible wall of a disposable container and method of manufacturing a disposable port device

A container having at least one wall protrusion for mounting at least one sensor from the outside for sensing at least one variable of a medium contained in a container interior is provided. The wall protrusion can be arranged on a container wall and configured to at least partly extend around the container interior and the medium. The wall protrusion can include at least one sensor region that is configured so that the at least one variable can be sensed through the sensor region by means of the sensor.

Container having wall protrusion and sensor region

A container () has a measuring-cell housing () that protrudes into the container interior (). The measuring-cell housing () has a measuring gap () bounded by two opposed spaced-apart lateral surfaces (), and a connecting surface () connects the lateral surfaces (). Each lateral surface () has an optical window (). A first optical fiber (15, 15') is arranged before the first window () and a second optical fiber (&#x2032;) is arranged before the second window (). Receiving channels () are arranged before the windows () and subsequently can be fit with the optical fibers () from the outside. The measuring-cell housing () having the windows () and the receiving channels () is connected fixedly to the wall () of the container interior ().

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Goettingen, Germany

Marek Hoehse