Multi stable isotope ratio analysis for the traceability of northern Italian apples

Brombin, Valentina; Mistri, Enrico; Bianchini, Gianluca

doi:10.1016/j.fochx.2022.100514

Cited by 3 publications

(2 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, stable isotope fingerprint analysis technology is considered to be one of the most effective methods for food origin traceability (Daixin et al ., 2022). At present, a series of agricultural products have been successfully identified by this method, such as apples (Brombin et al ., 2022), melons (Bin et al ., 2022), wine (Ranaweera et al ., 2021) and rice (Li et al ., 2022). Although stable isotope value analysis is an emerging technology in the traceability of tea origin, it is a very effective technical means.…”

Section: Introductionmentioning

confidence: 99%

Traceability of Guizhou green tea production areas based on multi‐element characteristics combined with biochemical components

Huang,

Xia,

Zhang

et al. 2024

Int J of Food Sci Tech

View full text Add to dashboard Cite

SummaryThe unique geographical environment of Guizhou has created the unique quality characteristics of green tea. To distinguish green tea from different regions in Guizhou, and provide a theoretical basis for origin traceability and quality evaluation for producers and consumers, this article analysed 12 mineral elements, 2 stable isotopes and 3 biochemical components in green tea samples from different regions in Guizhou, and combined with analysis of variance (ANOVA), principal component analysis (PCA), linear discriminant analysis (LDA) and orthogonal partial least squares discriminant analysis (OPLS–DA), the possibility of identifying and distinguishing the origin of green tea in Guizhou was studied. The results show that LDA has the highest discriminant accuracy, which can reach 93.3%. In addition, the data showed that Ca, Zn, Mn, Cr, Pb, As and caffeine were important variables to distinguish green tea samples from different regions of Guizhou.

show abstract

Section: Introductionmentioning

confidence: 99%

Traceability of Guizhou green tea production areas based on multi‐element characteristics combined with biochemical components

Huang,

Xia,

Zhang

et al. 2024

Int J of Food Sci Tech

View full text Add to dashboard Cite

show abstract

“…To date, a wide range of instrumental techniques for authentication of apples geographic origin and/or cultivar have been published including near-infrared spectroscopy (NIR) [4], fluorescent spectroscopy [5], head-space solid phase microextraction coupled with gas chromatography and mass spectrometry (SPME-GC-MS) [6,7], isotope ratio mass spectrometry (IR-MS), either separately [2,8,9] or in combination with elemental analysis by inductively coupled plasma mass spectrometry (ICP-MS) [10], also electronic nose and electronic tongue were used [3]. More information about these Disclaimer/Publisher's Note: The statements, opinions, and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s).…”

Section: Introductionmentioning

confidence: 99%

Metabolomics on Apple (<em>Malus domestica</em>) Cuticle—Search for Authenticity Markers

Bechynska,

Sedlak,

Uttl

et al. 2024

Preprint

View full text Add to dashboard Cite

The profile of secondary metabolites occurring in apple cuticular layer is not only characteristic for particular apple cultivar, but also dynamically reflects various external factors in growing environment. In this study, the possibility to authenticate apple samples based on analysis of their cuticular layer extracts was investigated. Ultra-high-performance liquid chromatography coupled to high resolution tandem mass spectrometry (UHPLC-HRMS/MS) was employed for obtaining metabolomic fingerprints. In total, 274 authentic apple samples, four cultivars harvested within the seasons 2020 to 2022 in the Czech Republic and Poland were analysed. The generated complex data processed by univariate and multivariate statistical methods enabled to build classification models for discrimination of apple cultivars as well as their geographical origin. The models showed very good performance in differentiation of Czech and Polish samples for three of four cultivars: ‘Gala’, ‘Golden Delicious’ and ‘Idared’, moreover, the validity of the models was verified over harvest seasons. The diagnostic markers, besides metabolites of triterpene biosynthetic pathway, mainly represented wax esters. ‘Jonagold’, which is known to be susceptible to mutations, was the only cultivar for which the unambiguous classification of geographical origin was not possible.

show abstract

Metabolomics on Apple (Malus domestica) Cuticle—Search for Authenticity Markers

Bechynska,

Sedlak,

Uttl

et al. 2024

Foods

View full text Add to dashboard Cite

The profile of secondary metabolites present in the apple cuticular layer is not only characteristic of a particular apple cultivar; it also dynamically reflects various external factors in the growing environment. In this study, the possibility of authenticating apple samples by analyzing their cuticular layer extracts was investigated. Ultra-high-performance liquid chromatography coupled with high-resolution tandem mass spectrometry (UHPLC-HRMS/MS) was employed for obtaining metabolomic fingerprints. A total of 274 authentic apple samples from four cultivars harvested in the Czech Republic and Poland between 2020 and 2022 were analyzed. The complex data generated, processed using univariate and multivariate statistical methods, enabled the building of classification models to distinguish apple cultivars as well as their geographical origin. The models showed very good performance in discriminating Czech and Polish samples for three out of four cultivars: “Gala”, “Golden Delicious” and “Idared”. Moreover, the validity of the models was tested over several harvest seasons. In addition to metabolites of the triterpene biosynthetic pathway, the diagnostic markers were mainly wax esters. “Jonagold”, which is known to be susceptible to mutations, was the only cultivar for which an unambiguous classification of geographical origin was not possible.

show abstract

Multi stable isotope ratio analysis for the traceability of northern Italian apples

Cited by 3 publications

References 37 publications

Traceability of Guizhou green tea production areas based on multi‐element characteristics combined with biochemical components

Traceability of Guizhou green tea production areas based on multi‐element characteristics combined with biochemical components

Metabolomics on Apple (<em>Malus domestica</em>) Cuticle—Search for Authenticity Markers

Metabolomics on Apple (Malus domestica) Cuticle—Search for Authenticity Markers

Contact Info

Product

Resources

About