An overview of the use of infrared spectroscopy and chemometrics in authenticity and traceability of cereals
By Daniel Cozzolino. 2014
135 citations recorded by the source corpus.
Abstract Although both near infrared (NIR) spectroscopy and mid infrared (MIR) spectroscopy combined with multivariate data analysis (MVA) have been extensively used to measure chemical composition (e.g. protein, moisture, oil) in a wide number of grains few reports can be found on the use of this methods for varietal discrimination and traceability of cereals. In this overview applications of NIR spectroscopy and MIR spectroscopy combined with multivariate data methods such as principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), linear discriminant analysis (LDA) to aid on the authentication and traceability of cereals are discussed.
Subfields: Analytical Chemistry, Animal Science and Zoology, Biomedical Engineering
View Paper: https://www.semanticscholar.org/paper/76230e85fa5b4df50d50276a72b938b252cae54a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Analytical Chemistry
In Animal Science and Zoology
In Biomedical Engineering
Citations in the corpus
- Non-Destructive Prediction of Moisture Content and Freezable Water Content of Purple-Fleshed Sweet Potato Slices during Drying Process Using Hyperspectral Imaging Technique (2017, background): “Several studies have been investigated on the application of near-infrared (NIR) spectroscopy for the estimation of moisture content in food products (Dong and Sun 2013; Cozzolino 2014; Madalozzo et al. 2015; Collell e t a l . 2010; Veselá et a l . 2007) .”