Perspectives and recent advances in quantitative structure-retention relationships for high performance liquid chromatography. How far are we?

被引:20
|
作者
Sagandykova, Gulyaim [1 ,2 ]
Buszewski, Boguslaw [1 ,2 ]
机构
[1] Fac Chem, Dept Environm Chem & Bioanalyt, Gagarina 7, PL-87100 Torun, Poland
[2] Nicolaus Copernicus Univ, Interdisciplinary Ctr Modern Technol, Wilenska 4, PL-87100 Torun, Poland
关键词
QSRRs; Similarity; Accuracy; Biological activity; Chromatographic separation; TANIMOTO SIMILARITY INDEX; PREDICTION ACCURACY; MOLECULAR SIMILARITY; CHEMICAL SIMILARITY; TRAINING SETS; VALIDATION; MODELS; HPLC; QSAR; PHOSPHATIDYLCHOLINE;
D O I
10.1016/j.trac.2021.116294
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Quantitative structure-retention relationships (QSRRs) have found numerous applications in analytical science. Since first adaptation of linear free energy relationships for process of chromatographic separation, the significant progress in development of QSRR models has been achieved. Models gained statistical significance and improved values of prediction accuracy as well as started to be applied for identification of proteins, metabolites in non-targeted analysis and determination of relative biological activities of solutes. The ongoing progress of development of QSRR models for different chromatographic systems may lead researchers to the reasonable question: how far are we from industrial scale application of QSRRs? The current review paper is aimed to discuss crucial points, achievements and recent advances, future perspectives in QSRR applications to reflect on this question. (c) 2021 Elsevier B.V. All rights reserved.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Quantitative structure-retention relationships in affinity high-performance liquid chromatography
    Markuszewski, M
    Kaliszan, R
    JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES, 2002, 768 (01): : 55 - 66
  • [2] Prediction of high-performance liquid chromatography retention of peptides with the use of quantitative structure-retention relationships
    Kaliszan, R
    Baczek, T
    Cimochowska, A
    Juszczyk, P
    Wisniewska, K
    Grzonka, Z
    PROTEOMICS, 2005, 5 (02) : 409 - 415
  • [3] Quantitative structure-retention relationships of pesticides in reversed-phase high-performance liquid chromatography
    Aschi, Massimiliano
    D'Archivio, Angelo Antonio
    Maggi, Maria Anna
    Mazzeo, Pietro
    Ruggieri, Fabrizio
    ANALYTICA CHIMICA ACTA, 2007, 582 (02) : 235 - 242
  • [4] Quantitative structure-retention relationships applied to reversed-phase high-performance liquid chromatography
    Polyakova, Yulia L.
    Row, Kyung H.
    MEDICINAL CHEMISTRY RESEARCH, 2005, 14 (8-9) : 488 - 522
  • [5] Strategy for reduced calibration sets to develop quantitative structure-retention relationships in high-performance liquid chromatography
    Andries, Jan P. M.
    Claessens, Henk A.
    Heyden, Yvan Vander
    Buydens, Lutgarde M. C.
    ANALYTICA CHIMICA ACTA, 2009, 652 (1-2) : 180 - 188
  • [6] QUANTITATIVE STRUCTURE-RETENTION RELATIONSHIPS APPLIED TO REVERSED-PHASE HIGH-PERFORMANCE LIQUID-CHROMATOGRAPHY
    KALISZAN, R
    JOURNAL OF CHROMATOGRAPHY A, 1993, 656 (1-2) : 417 - 435
  • [7] Quantitative structure-retention and retention-activity relationships of β-blocking agents by micellar liquid chromatography
    Detroyer, A
    Heyden, YV
    Carda-Broch, S
    García-Alvarez-Coque, MC
    Massart, DL
    JOURNAL OF CHROMATOGRAPHY A, 2001, 912 (02) : 211 - 221
  • [8] Quantitative Structure-Retention Relationships Applied to Reversed-Phase High-Perfromance Liquid Chromatography
    Yulia L. Polyakova
    Kyung H. Row
    Medicinal Chemistry Research, 2005, 14 : 488 - 522
  • [9] Application of quantitative structure-retention relationships (QSRR) to elucidate molecular mechanism of retention on the new stationary phases for high-performance liquid chromatography
    Kaliszan, R
    Markuszewski, M
    Haber, P
    Nasal, A
    Cserhati, T
    Forgacs, E
    Gadzala-Kopciuch, RM
    Buszewski, B
    CHEMIA ANALITYCZNA, 1998, 43 (04): : 547 - 559
  • [10] Quantitative structure-retention relationships models for prediction of high performance liquid chromatography retention time of small molecules: Endogenous metabolites and banned compounds
    Gorynski, Krzysztof
    Bojko, Barbara
    Nowaczyk, Alicja
    Bucinski, Adam
    Pawliszyn, Janusz
    Kaliszan, Roman
    ANALYTICA CHIMICA ACTA, 2013, 797 : 13 - 19