| Title |
Qualitative and quantitative analysis of flavonoids from 12 species of Korean mulberry leaves
|
|---|---|
| Published in |
Journal of Food Science and Technology, March 2018
|
| DOI | 10.1007/s13197-018-3093-2 |
| Pubmed ID | |
| Authors |
Wan-Taek Ju, O-Chul Kwon, Hyun-Bok Kim, Gyoo-Byung Sung, Heon-Woong Kim, Yong-Soon Kim |
| Abstract |
The total flavonoids in leaves of 12 varieties of Korean mulberry (Morus alba L.) were determined. Seventeen flavonoids were isolated and analyzed using ultra-performance liquid chromatography coupled with diode array detection and quadrupole time-of-flight mass spectrometry (UPLC-DAD-QTOF/MS). To determine the flavonoid contents, HPLC analysis was performed on these 17 flavonoids. The total flavonoid contents of the 12 varieties of mulberry leaves ranged from 748.5 to 1297.9 mg, with the highest obtained from the Cheong Su variety (1297.9 ± 112.0 mg). Among the 17 flavonoids analyzed, quercetin 3-O-rutinoside (rutin) and quercetin 3-O-glucoside (isoquercitrin) had highest contents in the Cheong Su variety. Furthermore, the Dae Dang Sang variety gave the highest quercetin 3-O-rutinoside (rutin) content among the mulberry leaves investigated, at 425.5 ± 45.9 mg. Major flavonols from Dae Dang Sang were detected by UPLC-DAD-QTOF/MS. A total of 17 flavonoid compound peaks were identified in the analysis time range of 5-40 min, all of which were kaempferol and quercetin glycosides. Seven of the 17 compounds identified in mulberry leaves were unknown. |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 67 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 13% |
| Student > Master | 6 | 9% |
| Researcher | 5 | 7% |
| Student > Bachelor | 5 | 7% |
| Student > Doctoral Student | 4 | 6% |
| Other | 14 | 21% |
| Unknown | 24 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 16% |
| Pharmacology, Toxicology and Pharmaceutical Science | 10 | 15% |
| Chemistry | 4 | 6% |
| Chemical Engineering | 4 | 6% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Other | 8 | 12% |
| Unknown | 28 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 April 2018.
All research outputs
#15,505,836
of 23,043,346 outputs
Outputs from Journal of Food Science and Technology
#639
of 1,452 outputs
Outputs of similar age
#212,219
of 332,303 outputs
Outputs of similar age from Journal of Food Science and Technology
#40
of 113 outputs
Altmetric has tracked 23,043,346 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,452 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 332,303 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 113 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.