Data Fusion Strategies for Food Authentication

• Abstract:

  More and more often food authentication problems require measuring fingerprinting data on the sample by different analytical platforms. To get full advantage of the multi-platform characterization of the products, the possibility of integrating the information provided by the different data blocks into a single, holistic model (data fusion) should be considered.
• Keywords:

  chemometrics, data fusion, classification, partial least squares discriminant analysis (PLS-DA), food authentication
• Download:

  IMEKO-TC23-2016-048.pdf
• DOI:

  _unreg_tc23-2016.048

Event details:

• IMEKO TC:

  TC23
• Event name:

  2nd IMEKOFOODS Conference
• Title:

  Metrology Promoting Objective and Measurable Food Quality and Safety

• Place:

  Benevento, ITALY
• Time:

  2 October 2016 - 10 October 2016