Anti-Diabetic Potential of Chlorella Pyrenoidosa-Based Mixture and its Regulation of Gut Microbiota View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2022-06-03

AUTHORS

Wenyu Xiong, Jie Chen, Junqiang He, Meifang Xiao, Xiaoyu He, Bin Liu, Feng Zeng

ABSTRACT

The aim of the present study was to investigate the anti-diabetic effect of CGSGCG and its beneficial effects on gut microbiota in type 2 diabetes (T2D) mice induced by streptozotocin and high sucrose and high fat diet. The results showed that treatment with CGSGCG reduced fasting blood glucose, improved oral glucose tolerance test, protected the liver from injury, and reduced inflammation in T2D mice. The contents of acetic acid, propionic acid, butyric acid, isobutyric acid, valeric acid and isovaleric acid in CGSGCG group were 2.49-, 1.74-, 3.31-, 1.93-, 1.36- and 1.30-fold than that of the model group. Moreover, administration of CGSGCG up-regulated the expression of INSR/IRS-1/PI3K/AKT/GLUT4 and mTOR but down-regulated the P38MAPK expression. Furthermore, the abundance of beneficial bacteria such as Verrucomicrobia, Proteobacteria, Osillibacter, Dubosiella and Lactococcus in intestinal tract increased, indicating that CGSCGG regulated and improved the bacterial community structure of T2D mice, which were closely related to glycometabolism.Graphical abstract More... »

PAGES

292-298

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11130-022-00968-1

DOI

http://dx.doi.org/10.1007/s11130-022-00968-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1148409210

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/35657501


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Animals", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Chlorella", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Diabetes Mellitus, Type 2", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Diet, High-Fat", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gastrointestinal Microbiome", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Mice", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Phosphatidylinositol 3-Kinases", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "College of Food Science, Fujian Agriculture and Forestry University, 350002, Fuzhou, China", 
          "id": "http://www.grid.ac/institutes/grid.256111.0", 
          "name": [
            "Engineering Research Center of Fujian and Taiwan Special Marine Food Processing and Nutrition, Ministry of Education, 350002, Fuzhou, China", 
            "College of Food Science, Fujian Agriculture and Forestry University, 350002, Fuzhou, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Xiong", 
        "givenName": "Wenyu", 
        "id": "sg:person.016262303404.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016262303404.48"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "College of Food Science, Fujian Agriculture and Forestry University, 350002, Fuzhou, China", 
          "id": "http://www.grid.ac/institutes/grid.256111.0", 
          "name": [
            "Engineering Research Center of Fujian and Taiwan Special Marine Food Processing and Nutrition, Ministry of Education, 350002, Fuzhou, China", 
            "College of Food Science, Fujian Agriculture and Forestry University, 350002, Fuzhou, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chen", 
        "givenName": "Jie", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "College of Food Science, Fujian Agriculture and Forestry University, 350002, Fuzhou, China", 
          "id": "http://www.grid.ac/institutes/grid.256111.0", 
          "name": [
            "Engineering Research Center of Fujian and Taiwan Special Marine Food Processing and Nutrition, Ministry of Education, 350002, Fuzhou, China", 
            "College of Food Science, Fujian Agriculture and Forestry University, 350002, Fuzhou, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "He", 
        "givenName": "Junqiang", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "College of Food Science, Fujian Agriculture and Forestry University, 350002, Fuzhou, China", 
          "id": "http://www.grid.ac/institutes/grid.256111.0", 
          "name": [
            "Engineering Research Center of Fujian and Taiwan Special Marine Food Processing and Nutrition, Ministry of Education, 350002, Fuzhou, China", 
            "College of Food Science, Fujian Agriculture and Forestry University, 350002, Fuzhou, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Xiao", 
        "givenName": "Meifang", 
        "id": "sg:person.016664301107.88", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016664301107.88"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Fuzhou Ocean Research Institute Marine Food Research and Development Center, 350002, Fuzhou, China", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Engineering Research Center of Fujian and Taiwan Special Marine Food Processing and Nutrition, Ministry of Education, 350002, Fuzhou, China", 
            "Fuzhou Ocean Research Institute Marine Food Research and Development Center, 350002, Fuzhou, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "He", 
        "givenName": "Xiaoyu", 
        "id": "sg:person.016434204540.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016434204540.27"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Xiamen 139 Biotechnology Co., Ltd., 361000, Xiamen, China", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Engineering Research Center of Fujian and Taiwan Special Marine Food Processing and Nutrition, Ministry of Education, 350002, Fuzhou, China", 
            "College of Food Science, Fujian Agriculture and Forestry University, 350002, Fuzhou, China", 
            "Fuzhou Ocean Research Institute Marine Food Research and Development Center, 350002, Fuzhou, China", 
            "Xiamen 139 Biotechnology Co., Ltd., 361000, Xiamen, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Liu", 
        "givenName": "Bin", 
        "id": "sg:person.01243330336.85", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01243330336.85"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Fuzhou Ocean Research Institute Marine Food Research and Development Center, 350002, Fuzhou, China", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Engineering Research Center of Fujian and Taiwan Special Marine Food Processing and Nutrition, Ministry of Education, 350002, Fuzhou, China", 
            "College of Food Science, Fujian Agriculture and Forestry University, 350002, Fuzhou, China", 
            "Fuzhou Ocean Research Institute Marine Food Research and Development Center, 350002, Fuzhou, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zeng", 
        "givenName": "Feng", 
        "id": "sg:person.0737702622.99", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0737702622.99"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/s41538-021-00105-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1139864740", 
          "https://doi.org/10.1038/s41538-021-00105-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11130-009-0145-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014501855", 
          "https://doi.org/10.1007/s11130-009-0145-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11130-022-00957-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1146286395", 
          "https://doi.org/10.1007/s11130-022-00957-4"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2022-06-03", 
    "datePublishedReg": "2022-06-03", 
    "description": "The aim of the present study was to investigate the anti-diabetic effect of CGSGCG and its beneficial effects on gut microbiota in type 2 diabetes (T2D) mice induced by streptozotocin and high sucrose and high fat diet. The results showed that treatment with CGSGCG reduced fasting blood glucose, improved oral glucose tolerance test, protected the liver from injury, and reduced inflammation in T2D mice. The contents of acetic acid, propionic acid, butyric acid, isobutyric acid, valeric acid and isovaleric acid in CGSGCG group were 2.49-, 1.74-, 3.31-, 1.93-, 1.36- and 1.30-fold than that of the model group. Moreover, administration of CGSGCG up-regulated the expression of INSR/IRS-1/PI3K/AKT/GLUT4 and mTOR but down-regulated the P38MAPK expression. Furthermore, the abundance of beneficial bacteria such as Verrucomicrobia, Proteobacteria, Osillibacter, Dubosiella and Lactococcus in intestinal tract increased, indicating that CGSCGG regulated and improved the bacterial community structure of T2D mice, which were closely related to glycometabolism.Graphical abstract", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s11130-022-00968-1", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1097889", 
        "issn": [
          "0921-9668", 
          "1573-9104"
        ], 
        "name": "Plant Foods for Human Nutrition", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "77"
      }
    ], 
    "keywords": [
      "T2D mice", 
      "gut microbiota", 
      "type 2 diabetes mice", 
      "oral glucose tolerance test", 
      "glucose tolerance test", 
      "anti-diabetic effects", 
      "high-fat diet", 
      "anti-diabetic potential", 
      "diabetes mice", 
      "fat diet", 
      "tolerance test", 
      "blood glucose", 
      "p38MAPK expression", 
      "model group", 
      "intestinal tract", 
      "beneficial effects", 
      "mice", 
      "present study", 
      "beneficial bacteria", 
      "microbiota", 
      "streptozotocin", 
      "high sucrose", 
      "inflammation", 
      "group", 
      "butyric acid", 
      "injury", 
      "expression", 
      "isovaleric acid", 
      "Dubosiella", 
      "liver", 
      "administration", 
      "tract", 
      "mTOR", 
      "glycometabolism", 
      "diet", 
      "treatment", 
      "acid", 
      "glucose", 
      "propionic acid", 
      "valeric acid", 
      "effect", 
      "isobutyric acid", 
      "aim", 
      "GLUT4", 
      "study", 
      "regulation", 
      "test", 
      "bacteria", 
      "Lactococcus", 
      "acetic acid", 
      "IRS", 
      "potential", 
      "sucrose", 
      "results", 
      "Verrucomicrobia", 
      "content", 
      "Proteobacteria", 
      "abundance", 
      "Chlorella pyrenoidosa", 
      "mixture", 
      "bacterial community structure", 
      "pyrenoidosa", 
      "structure", 
      "community structure"
    ], 
    "name": "Anti-Diabetic Potential of Chlorella Pyrenoidosa-Based Mixture and its Regulation of Gut Microbiota", 
    "pagination": "292-298", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1148409210"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11130-022-00968-1"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "35657501"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11130-022-00968-1", 
      "https://app.dimensions.ai/details/publication/pub.1148409210"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-10-01T06:50", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221001/entities/gbq_results/article/article_939.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s11130-022-00968-1"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11130-022-00968-1'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11130-022-00968-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11130-022-00968-1'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11130-022-00968-1'


 

This table displays all metadata directly associated to this object as RDF triples.

213 TRIPLES      21 PREDICATES      99 URIs      88 LITERALS      14 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11130-022-00968-1 schema:about N2093e3af366946abac3c61aa2b67a063
2 N5fc4e870f1294c06a2c7a7ebf976423b
3 N64fd870ff03c4b5abdd3c962fe5fd9a9
4 N81404d63176d4e16b7e5f1ffc9df732f
5 N89bb015d317b43e9a46147482a325c1e
6 N936843c2719e442cb5001eaaf4fe944c
7 Nf809a427784945abb2aba51ab2947ddd
8 anzsrc-for:11
9 anzsrc-for:1103
10 schema:author N37fa745a2c62460ca45e565596db5b0f
11 schema:citation sg:pub.10.1007/s11130-009-0145-9
12 sg:pub.10.1007/s11130-022-00957-4
13 sg:pub.10.1038/s41538-021-00105-3
14 schema:datePublished 2022-06-03
15 schema:datePublishedReg 2022-06-03
16 schema:description The aim of the present study was to investigate the anti-diabetic effect of CGSGCG and its beneficial effects on gut microbiota in type 2 diabetes (T2D) mice induced by streptozotocin and high sucrose and high fat diet. The results showed that treatment with CGSGCG reduced fasting blood glucose, improved oral glucose tolerance test, protected the liver from injury, and reduced inflammation in T2D mice. The contents of acetic acid, propionic acid, butyric acid, isobutyric acid, valeric acid and isovaleric acid in CGSGCG group were 2.49-, 1.74-, 3.31-, 1.93-, 1.36- and 1.30-fold than that of the model group. Moreover, administration of CGSGCG up-regulated the expression of INSR/IRS-1/PI3K/AKT/GLUT4 and mTOR but down-regulated the P38MAPK expression. Furthermore, the abundance of beneficial bacteria such as Verrucomicrobia, Proteobacteria, Osillibacter, Dubosiella and Lactococcus in intestinal tract increased, indicating that CGSCGG regulated and improved the bacterial community structure of T2D mice, which were closely related to glycometabolism.Graphical abstract
17 schema:genre article
18 schema:isAccessibleForFree false
19 schema:isPartOf N9a6d559e05614eddb8f95796d3dfc0a3
20 Ndc736225b6aa4d628c3bf9cd0cebb62b
21 sg:journal.1097889
22 schema:keywords Chlorella pyrenoidosa
23 Dubosiella
24 GLUT4
25 IRS
26 Lactococcus
27 Proteobacteria
28 T2D mice
29 Verrucomicrobia
30 abundance
31 acetic acid
32 acid
33 administration
34 aim
35 anti-diabetic effects
36 anti-diabetic potential
37 bacteria
38 bacterial community structure
39 beneficial bacteria
40 beneficial effects
41 blood glucose
42 butyric acid
43 community structure
44 content
45 diabetes mice
46 diet
47 effect
48 expression
49 fat diet
50 glucose
51 glucose tolerance test
52 glycometabolism
53 group
54 gut microbiota
55 high sucrose
56 high-fat diet
57 inflammation
58 injury
59 intestinal tract
60 isobutyric acid
61 isovaleric acid
62 liver
63 mTOR
64 mice
65 microbiota
66 mixture
67 model group
68 oral glucose tolerance test
69 p38MAPK expression
70 potential
71 present study
72 propionic acid
73 pyrenoidosa
74 regulation
75 results
76 streptozotocin
77 structure
78 study
79 sucrose
80 test
81 tolerance test
82 tract
83 treatment
84 type 2 diabetes mice
85 valeric acid
86 schema:name Anti-Diabetic Potential of Chlorella Pyrenoidosa-Based Mixture and its Regulation of Gut Microbiota
87 schema:pagination 292-298
88 schema:productId N14ff43e5773b49b8b069d3da8c3c8aac
89 N645d9b83da6845adadc682a300ecd340
90 Nede9be331aa149f99d1449f4014aaf61
91 schema:sameAs https://app.dimensions.ai/details/publication/pub.1148409210
92 https://doi.org/10.1007/s11130-022-00968-1
93 schema:sdDatePublished 2022-10-01T06:50
94 schema:sdLicense https://scigraph.springernature.com/explorer/license/
95 schema:sdPublisher N5d68d53b55664e6bb2c477969def277e
96 schema:url https://doi.org/10.1007/s11130-022-00968-1
97 sgo:license sg:explorer/license/
98 sgo:sdDataset articles
99 rdf:type schema:ScholarlyArticle
100 N058c47014053405faf8b07e86f10e66b schema:affiliation grid-institutes:grid.256111.0
101 schema:familyName Chen
102 schema:givenName Jie
103 rdf:type schema:Person
104 N14ff43e5773b49b8b069d3da8c3c8aac schema:name pubmed_id
105 schema:value 35657501
106 rdf:type schema:PropertyValue
107 N2093e3af366946abac3c61aa2b67a063 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Diet, High-Fat
109 rdf:type schema:DefinedTerm
110 N37fa745a2c62460ca45e565596db5b0f rdf:first sg:person.016262303404.48
111 rdf:rest N3b52045eeb384fbb85c281b04ad323f4
112 N3b52045eeb384fbb85c281b04ad323f4 rdf:first N058c47014053405faf8b07e86f10e66b
113 rdf:rest Nf41c62899cb54d0a852960a2659114ff
114 N416de97b4f5c4bdc9a83a4b62069786b rdf:first sg:person.016664301107.88
115 rdf:rest Ne223df60f37c4d1083255d634102e43e
116 N5d68d53b55664e6bb2c477969def277e schema:name Springer Nature - SN SciGraph project
117 rdf:type schema:Organization
118 N5fc4e870f1294c06a2c7a7ebf976423b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Mice
120 rdf:type schema:DefinedTerm
121 N645d9b83da6845adadc682a300ecd340 schema:name dimensions_id
122 schema:value pub.1148409210
123 rdf:type schema:PropertyValue
124 N64fd870ff03c4b5abdd3c962fe5fd9a9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Phosphatidylinositol 3-Kinases
126 rdf:type schema:DefinedTerm
127 N81404d63176d4e16b7e5f1ffc9df732f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Gastrointestinal Microbiome
129 rdf:type schema:DefinedTerm
130 N819be8a5081c4a79aec56e667fa9d65b rdf:first sg:person.01243330336.85
131 rdf:rest Ncee90540bad24cddb678975a1a671388
132 N89bb015d317b43e9a46147482a325c1e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Diabetes Mellitus, Type 2
134 rdf:type schema:DefinedTerm
135 N936843c2719e442cb5001eaaf4fe944c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Chlorella
137 rdf:type schema:DefinedTerm
138 N9a6d559e05614eddb8f95796d3dfc0a3 schema:volumeNumber 77
139 rdf:type schema:PublicationVolume
140 Ncee90540bad24cddb678975a1a671388 rdf:first sg:person.0737702622.99
141 rdf:rest rdf:nil
142 Nd47bf37fc07d432d93f5b9b39b19b04a schema:affiliation grid-institutes:grid.256111.0
143 schema:familyName He
144 schema:givenName Junqiang
145 rdf:type schema:Person
146 Ndc736225b6aa4d628c3bf9cd0cebb62b schema:issueNumber 2
147 rdf:type schema:PublicationIssue
148 Ne223df60f37c4d1083255d634102e43e rdf:first sg:person.016434204540.27
149 rdf:rest N819be8a5081c4a79aec56e667fa9d65b
150 Nede9be331aa149f99d1449f4014aaf61 schema:name doi
151 schema:value 10.1007/s11130-022-00968-1
152 rdf:type schema:PropertyValue
153 Nf41c62899cb54d0a852960a2659114ff rdf:first Nd47bf37fc07d432d93f5b9b39b19b04a
154 rdf:rest N416de97b4f5c4bdc9a83a4b62069786b
155 Nf809a427784945abb2aba51ab2947ddd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
156 schema:name Animals
157 rdf:type schema:DefinedTerm
158 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
159 schema:name Medical and Health Sciences
160 rdf:type schema:DefinedTerm
161 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
162 schema:name Clinical Sciences
163 rdf:type schema:DefinedTerm
164 sg:journal.1097889 schema:issn 0921-9668
165 1573-9104
166 schema:name Plant Foods for Human Nutrition
167 schema:publisher Springer Nature
168 rdf:type schema:Periodical
169 sg:person.01243330336.85 schema:affiliation grid-institutes:None
170 schema:familyName Liu
171 schema:givenName Bin
172 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01243330336.85
173 rdf:type schema:Person
174 sg:person.016262303404.48 schema:affiliation grid-institutes:grid.256111.0
175 schema:familyName Xiong
176 schema:givenName Wenyu
177 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016262303404.48
178 rdf:type schema:Person
179 sg:person.016434204540.27 schema:affiliation grid-institutes:None
180 schema:familyName He
181 schema:givenName Xiaoyu
182 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016434204540.27
183 rdf:type schema:Person
184 sg:person.016664301107.88 schema:affiliation grid-institutes:grid.256111.0
185 schema:familyName Xiao
186 schema:givenName Meifang
187 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016664301107.88
188 rdf:type schema:Person
189 sg:person.0737702622.99 schema:affiliation grid-institutes:None
190 schema:familyName Zeng
191 schema:givenName Feng
192 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0737702622.99
193 rdf:type schema:Person
194 sg:pub.10.1007/s11130-009-0145-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014501855
195 https://doi.org/10.1007/s11130-009-0145-9
196 rdf:type schema:CreativeWork
197 sg:pub.10.1007/s11130-022-00957-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1146286395
198 https://doi.org/10.1007/s11130-022-00957-4
199 rdf:type schema:CreativeWork
200 sg:pub.10.1038/s41538-021-00105-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1139864740
201 https://doi.org/10.1038/s41538-021-00105-3
202 rdf:type schema:CreativeWork
203 grid-institutes:None schema:alternateName Fuzhou Ocean Research Institute Marine Food Research and Development Center, 350002, Fuzhou, China
204 Xiamen 139 Biotechnology Co., Ltd., 361000, Xiamen, China
205 schema:name College of Food Science, Fujian Agriculture and Forestry University, 350002, Fuzhou, China
206 Engineering Research Center of Fujian and Taiwan Special Marine Food Processing and Nutrition, Ministry of Education, 350002, Fuzhou, China
207 Fuzhou Ocean Research Institute Marine Food Research and Development Center, 350002, Fuzhou, China
208 Xiamen 139 Biotechnology Co., Ltd., 361000, Xiamen, China
209 rdf:type schema:Organization
210 grid-institutes:grid.256111.0 schema:alternateName College of Food Science, Fujian Agriculture and Forestry University, 350002, Fuzhou, China
211 schema:name College of Food Science, Fujian Agriculture and Forestry University, 350002, Fuzhou, China
212 Engineering Research Center of Fujian and Taiwan Special Marine Food Processing and Nutrition, Ministry of Education, 350002, Fuzhou, China
213 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...