Know more

Our use of cookies

Cookies are a set of data stored on a user’s device when the user browses a web site. The data is in a file containing an ID number, the name of the server which deposited it and, in some cases, an expiry date. We use cookies to record information about your visit, language of preference, and other parameters on the site in order to optimise your next visit and make the site even more useful to you.

To improve your experience, we use cookies to store certain browsing information and provide secure navigation, and to collect statistics with a view to improve the site’s features. For a complete list of the cookies we use, download “Ghostery”, a free plug-in for browsers which can detect, and, in some cases, block cookies.

Ghostery is available here for free: https://www.ghostery.com/fr/products/

You can also visit the CNIL web site for instructions on how to configure your browser to manage cookie storage on your device.

In the case of third-party advertising cookies, you can also visit the following site: http://www.youronlinechoices.com/fr/controler-ses-cookies/, offered by digital advertising professionals within the European Digital Advertising Alliance (EDAA). From the site, you can deny or accept the cookies used by advertising professionals who are members.

It is also possible to block certain third-party cookies directly via publishers:

Cookie type

Means of blocking

Analytical and performance cookies

Realytics
Google Analytics
Spoteffects
Optimizely

Targeted advertising cookies

DoubleClick
Mediarithmics

The following types of cookies may be used on our websites:

Mandatory cookies

Functional cookies

Social media and advertising cookies

These cookies are needed to ensure the proper functioning of the site and cannot be disabled. They help ensure a secure connection and the basic availability of our website.

These cookies allow us to analyse site use in order to measure and optimise performance. They allow us to store your sign-in information and display the different components of our website in a more coherent way.

These cookies are used by advertising agencies such as Google and by social media sites such as LinkedIn and Facebook. Among other things, they allow pages to be shared on social media, the posting of comments, and the publication (on our site or elsewhere) of ads that reflect your centres of interest.

Our EZPublish content management system (CMS) uses CAS and PHP session cookies and the New Relic cookie for monitoring purposes (IP, response times).

These cookies are deleted at the end of the browsing session (when you log off or close your browser window)

Our EZPublish content management system (CMS) uses the XiTi cookie to measure traffic. Our service provider is AT Internet. This company stores data (IPs, date and time of access, length of the visit and pages viewed) for six months.

Our EZPublish content management system (CMS) does not use this type of cookie.

For more information about the cookies we use, contact INRA’s Data Protection Officer by email at cil-dpo@inra.fr or by post at:

INRA
24, chemin de Borde Rouge –Auzeville – CS52627
31326 Castanet Tolosan CEDEX - France

Dernière mise à jour : Mai 2018

Menu INRA Agrocampus Ouest logo

Internet de l'unité STLO Science et Technologie du Lait et de l'Oeuf

STLO Research Unit

Modeling membrane processes

Filtration principle
Membrane filtration (ultra-, microfiltration) is extensively used for concentrating or separating colloidal dispersions. However, it remains unclear what factors determine the efficiency of such operations.

This is especially the case for soft, deformable and permeable colloids.

We suggest that as long as both the osmotic pressure and the hydraulic permeability are known models for prediction of the performance (flux, concentration profile) of the filtration of any colloidal dispersion, a function of the operating conditions can be established. Estimation of the hydraulic permeability for soft and permeable colloids is very difficult. We hence use a direct approach combining:

  • osmotic stress experiments with
  • a reverse-calculation approach.

Applied to dispersions of casein micelles, which represent sort of “natural” colloidal microgels, the resulting filtration model was then validated against experimental measurements taken from David et al. (2008). 

 

Filtration of casein mlicelles

 
Filtration times from bottom to top are 133, 188, 246 and 325 minutes.

Predicted (lines) and experimental (symbols) concentration profiles in dead-end filtration of casein micelles.

 

Our original and generic approach allows development of unique prediction tools that are missing to date. It is a step towards innovative eco-design of processes in the food industry.  

FiletGris

 

Collaborations

Read more

Bouchoux A., Qu P., Bacchin P., G. Gésan-Guiziou. (2014) Modeling the filtration of soft and permeable colloids: the milk case study, Langmuir 30: 22-34. http://dx.doi.org/10.1021/la402865p

Qu P., Gésan-Guiziou G., Bouchoux A. (2012) Dead-end filtration of sponge-like colloids: the case of casein micelle, Journal of Membrane Science 417-418: 10-19. http://dx.doi.org/10.1016/j.memsci.2012.06.003

David C., Pignon F., Narayanan T., Sztucki M., Gésan-Guiziou G., Magnin A. (2008) Spatial and temporal in-situ evolution of concentration profile during casein micelle ultrafiltration probed by small angle X-ray scattering, Langmuir, 24: 4523-4529. http://dx.doi.org/10.1021/la703256s

Contact

Geneviève Gésan-Guiziou • Scientist in Dairy Processing team

>>> To Research Team

>>> To All MAIN RESULTS