Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Svetlana Vorslova"'
Autor:
Georg Arju, Anastassia Taivosalo, Dmitri Pismennoi, Taivo Lints, Raivo Vilu, Zanda Daneberga, Svetlana Vorslova, Risto Renkonen, Sakari Joenvaara
Publikováno v:
Foods, Vol 9, Iss 8, p 979 (2020)
Until now, cheese peptidomics approaches have been criticised for their lower throughput. Namely, analytical gradients that are most commonly used for mass spectrometric detection are usually over 60 or even 120 min. We developed a cheese peptide map
Externí odkaz:
https://doaj.org/article/643bce2d976f43f88c234554cf431db2
Autor:
Zanda Daneberga, Sakari Joenväärä, Dmitri Pismennoi, Svetlana Vorslova, Georg Arju, Raivo Vilu, Risto Renkonen, Taivo Lints, Anastassia Taivosalo
Publikováno v:
Foods
Volume 9
Issue 8
Foods, Vol 9, Iss 979, p 979 (2020)
Volume 9
Issue 8
Foods, Vol 9, Iss 979, p 979 (2020)
Until now, cheese peptidomics approaches have been criticised for their lower throughput. Namely, analytical gradients that are most commonly used for mass spectrometric detection are usually over 60 or even 120 min. We developed a cheese peptide map
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::050b8a8349889c1bea1dea6af6b5ad38
http://hdl.handle.net/10138/320671
http://hdl.handle.net/10138/320671
Publikováno v:
American Chemical Science Journal. 9:1-11
Publikováno v:
Chromatographia. 78:899-908
Application of the solvatic retention model of reversed-phase liquid chromatography was studied to predict retention of phenylisothiocyanate derivatives of amino acids from structural formulae and stationary and mobile phase properties. The gradient