ArticleFoods (Basel, Switzerland)2021
Geographical and Varietal Traceability of Chinese Jujubes Based on Physical and Nutritional Characteristics.
Article in Foods (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed.
- Construction of a Genome-Wide Copy Number Variation Map and Association Analysis of Black Spot in Jujube.Plants (Basel, Switzerland) · 2025Article
- Geographical Origin Identification of Chinese Red Jujube Using Near-Infrared Spectroscopy and Adaboost-CLDA.Foods (Basel, Switzerland) · 2025Article
- Ameliorating effect of zinc on water transport in rice plants under saline-sodic stress.Frontiers in plant science · 2025Article
- Impact of Long-Term Cold Storage on the Physicochemical Properties, Volatile Composition, and Sensory Attributes of Dried Jujube (Foods (Basel, Switzerland) · 2024Article
- Review
- The Fingerprint Identification of Asphalt Aging Based onMaterials (Basel, Switzerland) · 2022Article
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6 authors.
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Abstract
Chinese jujube fruits are known for their high nutritional and functional values. To protect advantageous regional jujube fruits, it is important to monitor quality indicators and trace the origin and variety. In this study, 31 quality indicators of Chinese jujubes collected from 6 main producing areas were determined. According to different origins and varieties, Chinese jujube fruits were divided into five and six categories, respectively. To simplify the parameters, eight of the main characteristics, namely, soluble sugar content, fresh mass, edible rate, Na, Mg, K, Zn, and cyclic adenosine monophosphate (cAMP), were screened based on multiple comparison, correlation analysis, and principal component analysis (PCA). According to the eight main parameters, it was found that that both the categorical and cross-validated classification accuracy of linear discriminant analysis (LDA) were 100%. The discrimination accuracy of the testing set samples based on the orthogonal partial least squares-discriminant analysis (OPLS-DA) model were 90 and 93% for geographical and varietal classification, respectively. This indicated that the eight main parameters could be used as the characteristic parameters for the origin and variety traceability of Chinese jujubes.
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