Next Article in Journal
Using Pulses in Baked Products: Lights, Shadows, and Potential Solutions
Next Article in Special Issue
Microwave-Based Technique for Fast and Reliable Extraction of Organic Contaminants from Food, with a Special Focus on Hydrocarbon Contaminants
Previous Article in Journal
Thermal Transitions of Cocoa Butter: A Novel Characterization Method by Temperature Modulation
Previous Article in Special Issue
Assessment of a New GC-MS/MS System for the Confirmatory Measurement of PCDD/Fs and (N)DL-PCBs in Food under EU Regulation
Open AccessFeature PaperArticle

Tracing the Geographical Origin of Durum Wheat by FT-NIR Spectroscopy

1
Institute of Sciences of Food Production (ISPA), CNR-National Research Council of Italy, Via G. Amendola 122/O, 70126 Bari, Italy
2
Research Development & Quality, Barilla G. & R. Fratelli S.p.A., Via Mantova 166, 43100 Parma, Italy
*
Author to whom correspondence should be addressed.
Foods 2019, 8(10), 450; https://doi.org/10.3390/foods8100450
Received: 25 July 2019 / Revised: 23 September 2019 / Accepted: 25 September 2019 / Published: 2 October 2019
(This article belongs to the Special Issue Rapid Detection Methods for Food Fraud and Food Contaminants)
Fourier transform near infrared (FT-NIR) spectroscopy, in combination with principal component-linear discriminant analysis (PC-LDA), was used for tracing the geographical origin of durum wheat samples. The classification model PC-LDA was applied to discriminate durum wheat samples originating from Northern, Central, and Southern Italy (n = 181), and to differentiate Italian durum wheat samples from those cultivated in other countries across the world (n = 134). Developed models were validated on a separated set of wheat samples. Different pre-treatments of spectral data and different spectral regions were selected and compared in terms of overall discrimination (OD) rates obtained in validation. The LDA models were able to correctly discriminate durum Italian wheat samples according to their geographical origin (i.e., North, Central, and South) with OD rates of up of 96.7%. Better results were obtained when LDA models were applied to the discrimination of Italian durum wheat samples from those originating from other countries across the world, having OD rates of up to 100%. The excellent results obtained herein clearly indicate the potential of FT-NIR spectroscopy to be used for the discrimination of durum wheat samples according to their geographical origin. View Full-Text
Keywords: FT-NIR spectroscopy; durum wheat; geographical origin; linear discriminant analysis FT-NIR spectroscopy; durum wheat; geographical origin; linear discriminant analysis
Show Figures

Figure 1

MDPI and ACS Style

De Girolamo, A.; Cortese, M.; Cervellieri, S.; Lippolis, V.; Pascale, M.; Logrieco, A.F.; Suman, M. Tracing the Geographical Origin of Durum Wheat by FT-NIR Spectroscopy. Foods 2019, 8, 450.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop