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1000 Titel
  • Partial‐least‐squares and canonical‐correlation analysis of chemical constituents and active ingredients of new types of Chinese mulberries
1000 Autor/in
  1. Sun, Rui |
  2. Sun, Lei |
  3. Han, Chuanming |
1000 Erscheinungsjahr 2018
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2018-09-07
1000 Erschienen in
1000 Quellenangabe
  • 6(7):1950-1959
1000 Copyrightjahr
  • 2018
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1002/fsn3.753 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6189618/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • OBJECTIVE: To investigate the correlation between chemical constituents and active ingredients of 13 types of Chinese mulberry fruits. METHODS: Thirteen types mulberry fruits were harvested. The correlation between chemical constituents and active ingredients (primarily anthocyanins and rutins) of 13 new types of Chinese mulberries was assessed using partial‐least‐squares, principle‐component and canonical‐correlation analyses. RESULTS: Vitamin C and titratable acid in the mulberry fruits were critical components that affected the active ingredients, especially anthocyanins and rutins. The content of titratable acid content was related to the fruit flavor and maintained the balance of anthocyanins, vitamin C and rutins. Mineral elements, such as Zn and Cu, also played a vital role in these processes. Low contents of sugar, crude protein, crude fat and pectin were significantly correlated with the mineral elements. CONCLUSION: Chemical constituents and mineral elements can mutually affect the concentration. It provides a novel method for any changes in the quality of new types of Chinese mulberries, which can identify the sources of new types of natural antioxidants.
1000 Sacherschließung
lokal chemical composition
lokal canonical correlation
lokal mineral element
lokal anthocyanin rutin
lokal mulberry
lokal partial-least-squares analysis
lokal principle-component analysis
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/U3VuLCBSdWk=|https://orcid.org/0000-0002-5284-9773|https://frl.publisso.de/adhoc/uri/SGFuLCBDaHVhbm1pbmc=
1000 Label
1000 Förderer
  1. National Forestry and Grassland Administration |
  2. Shandong Provincial Department of Agriculture |
1000 Fördernummer
  1. 201204402
  2. Lu CainongZi[2015]16
1000 Förderprogramm
  1. Special Fund for Forest Scientific Research in the Public Welfare
  2. Shandong Agricultural Major Application of Technology Innovation Project
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer National Forestry and Grassland Administration |
    1000 Förderprogramm Special Fund for Forest Scientific Research in the Public Welfare
    1000 Fördernummer 201204402
  2. 1000 joinedFunding-child
    1000 Förderer Shandong Provincial Department of Agriculture |
    1000 Förderprogramm Shandong Agricultural Major Application of Technology Innovation Project
    1000 Fördernummer Lu CainongZi[2015]16
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6422080.rdf
1000 Erstellt am 2020-07-22T13:04:38.891+0200
1000 Erstellt von 286
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1000 Bearbeitet von 122
1000 Zuletzt bearbeitet Thu Jul 23 09:03:19 CEST 2020
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1000 Vgl. frl:6422080
1000 Oai Id
  1. oai:frl.publisso.de:frl:6422080 |
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