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Chemometric framework for near infrared spectroscopy development including: toolboxes + MOOCs + training databases


Chemometrics is used to predict information about samples from their spectra. This information can be, for example, the sugar content of a grape berry, the variety of wheat that gave a flour, the grouping of samples into homogeneous batches.
Our objective is to make chemometrics accessible to as many people as possible, free of charge. The mooc gives the keys to understanding the methods, and thus to using and interpreting them correctly. The ChemFlow software allows to put them into practice on a shared database as well as on one’s own data.


The project is based on three pillars: a mooc, a software and a database.
• The mooc was broadcast on the Fun platform between 12 September 2016 and 25 November 2016.
• The ChemFlow software is available online: https://vm-chemflow.toulouse.inra.fr
• A database is available via ChemFlow, or on chemproject.org


• For the first edition in 2016, the mooc totalled 1470 registrants, of which about 20% followed the core curriculum to the end (answering the quizzes) and 127 successfully obtained their certificate of attendance.
• The ChemFlow software had 630 accounts generating 47,000 queries; the daily maximum was 4,720 queries.
• The most motivated learners were able to benefit from a tutoring programme set up and financed by INRA’s permanent training programme.


The objective is to make the project, renamed ChemProject, sustainable.
Funding has already been obtained to re-run the mooc in autumn 2017 with the addition of courses on method validation and prerequisites.
For 2018 and beyond, a development project has been built with significantly more content and more comprehensive learning aids such as enriched documents or peer correction.
Given the interest shown in chemometrics by industrialists, the search for funding is directed towards corporate sponsorship.

  • Project Number
  • Call for project
  • Start date :
    1 January 2015
  • Closing date :
    31 March 2017
  • Research units in the network
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