Amino Acid Profile of Fruits as Potential Fingerprints of Varietal Origin Article Swipe
Oana Romina Botoran
,
Roxana Elena Ionete
,
Marius Gheorghe Miricioiu
,
Diana Costinel
,
Gabriel Lucian Radu
,
R. Popescu
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.3390/molecules24244500
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.3390/molecules24244500
This study aims to assess the capability of the 1H-NMR profiling of fruits from different genera in combination with multivariate data analysis to provide feasible information for fruit juices’ authenticity in terms of botanical origin. Nine fruit varieties from four genera were selected for the experimental plan. The juice obtained from the fruits was characterized using the 1H-NMR technique, selecting the obtained amino acid profile of fruits as a potential specific fingerprint. Due to the complex information provided by the NMR spectra, a chemometric approach of the data was further applied to enable the differentiation of the fruit samples, highlighting thus its suitability as a discrimination tool for the varietal origin. The advantage of this analytical approach is given by the relatively simple working procedure, which consists of an easy, fast, and accessible preparation stage while providing complex information on fruit composition.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/molecules24244500
- https://www.mdpi.com/1420-3049/24/24/4500/pdf?version=1575868159
- OA Status
- gold
- Cited By
- 22
- References
- 35
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2991993625
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2991993625Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/molecules24244500Digital Object Identifier
- Title
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Amino Acid Profile of Fruits as Potential Fingerprints of Varietal OriginWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2019Year of publication
- Publication date
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2019-12-09Full publication date if available
- Authors
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Oana Romina Botoran, Roxana Elena Ionete, Marius Gheorghe Miricioiu, Diana Costinel, Gabriel Lucian Radu, R. PopescuList of authors in order
- Landing page
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https://doi.org/10.3390/molecules24244500Publisher landing page
- PDF URL
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https://www.mdpi.com/1420-3049/24/24/4500/pdf?version=1575868159Direct link to full text PDF
- Open access
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.mdpi.com/1420-3049/24/24/4500/pdf?version=1575868159Direct OA link when available
- Concepts
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Fingerprint (computing), Multivariate statistics, Ordination, Proton NMR, Chemistry, Amino acid, Biological system, Food science, Mathematics, Botany, Biology, Computer science, Artificial intelligence, Biochemistry, Statistics, StereochemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
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22Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 4, 2024: 4, 2023: 4, 2022: 5, 2021: 4Per-year citation counts (last 5 years)
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35Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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