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Food Science Nutrition - 2022 - Shen - Comparison of chemical compositions antioxidant activities and.pdf 5,48MB
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1000 Titel
  • Comparison of chemical compositions, antioxidant activities, and acetylcholinesterase inhibitory activities between coffee flowers and leaves as potential novel foods
1000 Autor/in
  1. Shen, Xiaojing |
  2. Nie, Fanqiu |
  3. Fang, Haixian |
  4. Liu, Kunyi |
  5. Li, Zelin |
  6. Li, Xingyu |
  7. Chen, Yumeng |
  8. Chen, Rui |
  9. Zheng, Tingting |
  10. Fan, Jiangping |
1000 Erscheinungsjahr 2022
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2022-11-05
1000 Erschienen in
1000 Quellenangabe
  • 11(2):917-929
1000 Copyrightjahr
  • 2022
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1002/fsn3.3126 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • This study aimed to compare chemical compositions, antioxidant activities, and acetylcholinesterase inhibitory activities of coffee flowers (ACF) and coffee leaves (ACL) with green coffee beans (ACGB) of Coffea Arabica L. The chemical compositions were determined by employing high-performance liquid chromatography–mass spectroscopy (HPLC–MS) and gas chromatography–mass spectroscopy (GC–MS) techniques. Antioxidant effects of the components were evaluated using DPPH and ABTS radical scavenging assays, and the ferric reducing antioxidant power (FRAP) assay. Their acetylcholinesterase inhibitory activities were also evaluated. The coffee sample extracts contained a total of 214 components identified by HPLC-MS and belonged to 12 classes (such as nucleotides and amino acids and their derivatives, tannins, flavonoids, alkaloids, benzene, phenylpropanoids, and lipids.), where phenylpropanoids were the dominant component (>30%). The contents of flavonoids, alkaloids, saccharides, and carboxylic acid and its derivatives in ACF and ACL varied significantly (p < .05) compared to similar components in ACGB. Meanwhile, 30 differentially changed chemical compositions (variable importance in projection [VIP] > 1, p < .01 and fold change [FC] > 4, or <0.25), that determine the difference in characteristics, were confirmed in the three coffee samples. Furthermore, among 25 volatile chemical components identified by GC–MS, caffeine, n-hexadecanoic acid, 2,2′-methylenebis[6-(1,1-dimethylethyl)-4-methyl-phenol], and quinic acid were common in these samples with caffeine being the highest in percentage. In addition, ACL showed the significantly highest (p < .05) DPPH radical scavenging capacity with IC50 value of 0.491 ± 0.148 mg/ml, and acetylcholinesterase inhibitory activity with inhibition ratio 25.18 ± 2.96%, whereas ACF showed the significantly highest (p < .05) ABTS radical scavenging activity with 36.413 ± 1.523 mmol trolox/g Ex. The results suggested that ACL and ACF had potential values as novel foods in the future.
1000 Sacherschließung
lokal coffee flower
lokal chemical composition
lokal acetylcholinesterase inhibitory activity
lokal coffee leaf
lokal antioxidant activity
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/U2hlbiwgWGlhb2ppbmc=|https://frl.publisso.de/adhoc/uri/TmllLCBGYW5xaXU=|https://frl.publisso.de/adhoc/uri/RmFuZywgSGFpeGlhbg==|https://orcid.org/0000-0001-7290-2941|https://frl.publisso.de/adhoc/uri/TGksIFplbGlu|https://frl.publisso.de/adhoc/uri/TGksIFhpbmd5dQ==|https://frl.publisso.de/adhoc/uri/Q2hlbiwgWXVtZW5n|https://frl.publisso.de/adhoc/uri/Q2hlbiwgUnVp|https://frl.publisso.de/adhoc/uri/WmhlbmcsIFRpbmd0aW5n|https://frl.publisso.de/adhoc/uri/RmFuLCBKaWFuZ3Bpbmc=
1000 Label
1000 Förderer
  1. National Natural Science Foundation of China-Yunnan Joint Fund |
  2. Yunnan Province Agricultural Basic Research Joint Foundation |
  3. Yunnan Key Laboratory of Pharmacology for Natural Products |
  4. Scholarship for Academic Leader of Yunnan Province |
  5. Yibin University |
1000 Fördernummer
  1. U1902206
  2. 202101BD070001-046
  3. 70120030506
  4. 202002AE09001004
  5. ybzy21cxtd-03
1000 Förderprogramm
  1. -
  2. -
  3. -
  4. -
  5. Science and Technology Innovation Team Project of Yibin Vocational and Technical College
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer National Natural Science Foundation of China-Yunnan Joint Fund |
    1000 Förderprogramm -
    1000 Fördernummer U1902206
  2. 1000 joinedFunding-child
    1000 Förderer Yunnan Province Agricultural Basic Research Joint Foundation |
    1000 Förderprogramm -
    1000 Fördernummer 202101BD070001-046
  3. 1000 joinedFunding-child
    1000 Förderer Yunnan Key Laboratory of Pharmacology for Natural Products |
    1000 Förderprogramm -
    1000 Fördernummer 70120030506
  4. 1000 joinedFunding-child
    1000 Förderer Scholarship for Academic Leader of Yunnan Province |
    1000 Förderprogramm -
    1000 Fördernummer 202002AE09001004
  5. 1000 joinedFunding-child
    1000 Förderer Yibin University |
    1000 Förderprogramm Science and Technology Innovation Team Project of Yibin Vocational and Technical College
    1000 Fördernummer ybzy21cxtd-03
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6453120.rdf
1000 Erstellt am 2023-07-13T11:17:34.068+0200
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1000 Zuletzt bearbeitet 2023-07-13T11:19:21.705+0200
1000 Objekt bearb. Thu Jul 13 11:18:47 CEST 2023
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