| Title |
Use of urea-polyacrylamide electrophoresis for discrimination of A1 and A2 beta casein variants in raw cow’s milk
|
|---|---|
| Published in |
Journal of Food Science and Technology, March 2018
|
| DOI | 10.1007/s13197-018-3088-z |
| Pubmed ID | |
| Authors |
Miguel Angel Duarte-Vázquez, Carlos Raúl García-Ugalde, Blanca Erika Álvarez, Laura Mariana Villegas, Blanca Estela García-Almendárez, Jorge Luis Rosado, Carlos Regalado |
| Abstract |
Beta-casein (BC) in cow's milk occurs in several genetic variants, where BC A1 (BCA1) and BC A2 (BCA2) are the most frequent. This work deals with a method based on modified polyacrylamide gel electrophoresis using urea PAGE to discriminate BCA1 and BCA2 variants from Holstein Friesian (HF) and genetically selected Jersey A2/A2 (JA2) cow's milk. Two well defined bands were obtained from BC fraction of HF milk, while that of JA2 showed a single band. Proteins from these bands were sequenced by HPLC-quadrupole linear ion trap/mass spectrometry, resulting in BCA1 and BCA2 separation from the BC fraction of HF milk, whereas BCA2 was the only constituent of JA2 fraction. This method represents a feasible and useful tool to on site phenotyping of BC fraction of cow's milk for pharmaceutical and food industries applications. |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 23% |
| Student > Bachelor | 5 | 12% |
| Student > Ph. D. Student | 4 | 9% |
| Professor | 3 | 7% |
| Student > Master | 3 | 7% |
| Other | 6 | 14% |
| Unknown | 12 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 26% |
| Biochemistry, Genetics and Molecular Biology | 7 | 16% |
| Chemistry | 4 | 9% |
| Veterinary Science and Veterinary Medicine | 2 | 5% |
| Unspecified | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 12 | 28% |
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
#211,893
of 331,410 outputs
Outputs of similar age from Journal of Food Science and Technology
#39
of 118 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 331,410 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 118 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.