The use of δ2H and δ18O isotopic analyses combined with chemometrics as a traceability tool for the geographical origin of bell peppers. (1st August 2016)

• Record Type: Journal Article
• Authors: de Rijke, E.; Schoorl, J.C.; Cerli, C.; Vonhof, H.B.; Verdegaal, S.J.A.; Vivó-Truyols, G.; Lopatka, M.; Dekter, R.; Bakker, D.; Sjerps, M.J.; Ebskamp, M.; de Koster, C.G.
• Is Part Of: Food chemistry. Volume 204(2016)
• Page Start: 122
• Page End: 128
• Publication Date: 2016-08-01
• Subjects: Heptacosane (PubChem CID: 11636) -- Nonacosane (PubChem CID: 12409) -- Hentriacontane (PubChem CID: 12410); Isotope ratio mass spectrometry -- Gas chromatography -- Geographic origin -- Food products authenticity -- Linear discriminant analysis -- Likelihood ratio -- Bell peppers -- Capsicum annuum; Food -- Analysis -- Periodicals; Food -- Composition -- Periodicals; 664
• DOI: 10.1016/j.foodchem.2016.01.134
• Languages: English
• ISSNs: 0308-8146

Abstract

Highlights: IRMS and chemometrics are applied to discriminate between peppers of different geographical origin. Combining δ 18 O of fruit water and source water/GNIP data gives a first indication of the origin. Based on alkane δ 2 H and concentrations data, two chemometric classification models were developed. LDA and KDE show comparable classification performance but sensitivity to different samples. The procedure could serve as a tool to verify compliance regarding geographic origin labeling. Abstract: Two approaches were investigated to discriminate between bell peppers of different geographic origins. Firstly, δ 18 O fruit water and corresponding source water were analyzed and correlated to the regional GNIP (Global Network of Isotopes in Precipitation) values. The water and GNIP data showed good correlation with the pepper data, with constant isotope fractionation of about −4. Secondly, compound-specific stable hydrogen isotope data was used for classification. Using n-alkane fingerprinting data, both linear discriminant analysis (LDA) and a likelihood-based classification, using the kernel-density smoothed data, were developed to discriminate between peppers from different origins. Both methods were evaluated using the δ 2 H values and n-alkanes relative composition as variables. Misclassification rates were calculated using a Monte-Carlo 5-fold cross-validation procedure. Comparable overall classification performance was achieved, however, the two methods showed sensitivity to different samples. The combined values of δ 2 H IRMS, and complimentary information regarding the relative abundance of four main alkanes in bell pepper fruit water, has proven effective for geographic origin discrimination. Evaluation of the rarity of observing particular ranges for these characteristics could be used to make quantitative assertions regarding geographic origin of bell peppers and, therefore, have a role in verifying compliance with labeling of geographical origin.