Virtual and Onsite Data Analysis

A famous Analytical Chemist once told me "one should spend the same amount of time optimising a data analysis method as an acquisition one" but how many of us ever do?

It is after all true that the world’s greatest instrumental method can be hamstrung by poor use of the data it has produced.

  • It can be the bottleneck in the whole sample analysis process.
  • Poor integration parameters can miss sample peaks...
  • ...or worse still, can force manual integration which is not reproducible.
  • ...or your data may not be fully explored - what else can you find out when fully processing it using chemometrics techniques?
  • If you find yourself without the time to devote to a task which is regarded as erring on the bland side, or you don't have the knowledge or software to fully process it yourself, we can help you:

    • In a Qualitative or Quantitative laboratory you need to improve the basic but fundamental task of integration.
    • In Qualitative data analysis if you are having to identify unknowns via library searching and need advice on editing and optimising the algorithm.
    • In Qualitative if you need to tighten identification by adding retention index (RI) data.
    • In Qualitative of Quantitative if you need to improve your peaks via smoothing or background subtraction.
    • In Quantitative if you are struggling to choose the correct calibration curve or to gain the required calibration coefficient (e.g. >0.9950).
    • In Quantitative if you need help with the choice of calibration e.g. low precision ‘area percent’ through external calibration to the high precision 'internal standard ratio'.
    • Eliminate the matrix completely giving the correct result via the technique of 'standard additions'.
    • Learn the difference between 'guestimate', 'ballpark' and 'semi-quantitative' results.
    • Perform exploratory chemometrics data assessment of your data sets.
    • Perform chemometrics predictive modelling on your data sets.
    • Provide chemometrics consultancy support to develop and validate models of your data.

    We can provide support in a number of ways:

    • Face-to-face live video, telephone and email support from our office.
    • Process your data or develop your data analysis methods from our office.
    • Onsite support.
    • Then looking to the future with onsite, offsite or virtual classroom training.

    Please contact us to discuss how we can help.