Results

eNauka >  Results >  Predicting liquid chromatography−electrospray ionization/mass spectrometry signal from the structure of model compounds and experimental factors; case study of aripiprazole and its impurities
Title: Predicting liquid chromatography−electrospray ionization/mass spectrometry signal from the structure of model compounds and experimental factors; case study of aripiprazole and its impurities
Authors: Krmar, Jovana  ; Tolić Stojadinović, Ljiljana  ; Đurkić, Tatjana  ; Protić, Ana  ; Otašević, Biljana  
Issue Date: 2023
Publication: Journal of Pharmaceutical and Biomedical Analysis
ISSN: 0731-7085 Journal of Pharmaceutical and Biomedical Analysis Search Idenfier
Publisher: Elsevier B.V.
Type: Article
Collation: vol. 233 str. 115422-115422
DOI: 10.1016/j.jpba.2023.115422
WoS-ID: 001044797200001
Scopus-ID: 2-s2.0-85156106306
PMID: 37150055
URI: https://farfar.pharmacy.bg.ac.rs/handle/123456789/4881
https://enauka.gov.rs/handle/123456789/735294
http://TechnoRep.tmf.bg.ac.rs/handle/123456789/6373
Project: Ministarstvo prosvete, nauke i tehnološkog razvoja Republike Srbije, Ugovor br. 200161 (Univerzitet u Beogradu, Farmaceutski fakultet)
Ministarstvo prosvete, nauke i tehnološkog razvoja Republike Srbije, Ugovor br. 200135 (Univerzitet u Beogradu, Tehnološko-metalurški fakultet)
Ministarstvo prosvete, nauke i tehnološkog razvoja Republike Srbije, Ugovor br. 200287 (Inovacioni centar Tehnološko-metalurškog fakulteta u Beogradu doo)
M-category: 
22M22

Altmetric
Dimensions

Find the DOI

Unpaywall

Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.