3D Fluorescence Spectroscopy Combined With Chemometrics as a Tool for Control of Imprinted Protein Purification From Template Molecules

ABSTRACT Imprinted proteins (IPs) are promising alternatives to natural recognition systems, such as biological receptors or antibodies. One of the crucial stages during development of IPs is removal of the template molecules from its complex with the protein. In this study, bovine serum albumin was imprinted in the presence of 4‐hydroxycoumarin (4‐HC); purification of IPs were carried out by dialysis, and fluorescence 3D spectroscopy was used to monitor the IP purification process. Excitation–emission matrix (EEM) was further investigated via several chemometric algorithms (principal component analysis [PCA], parallel factor analysis [PARAFAC], and independent components analysis [ICA]). We found that the models using PARAFAC and ICA worked better than those of PCA. It was shown that PARAFAC and ICA analyses allow not only to recognize IP sample with signal close to nonimprinted protein, but also to provide recommendations on the optimal dialysis time.

Authors

Institutions

Publication Details

Journal
Journal of Chemometrics
Published
2024-10-25
DOI
https://doi.org/10.1002/cem.3622
Citations
2
Primary Topic
Analytical chemistry methods development
Type
article
Field-Weighted Citation Impact
0.47

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

3D Fluorescence Spectroscopy Combined With Chemometrics as a Tool for Control of Imprinted Protein Purification From Template Molecules

Pavel S. Pidenko, Polina M. Ilicheva, Kirill Yu. Presnyakov, Н. А. Бурмистрова et al.
2 citations
Journal of Chemometrics
Analytical chemistry methods development
0.47
article

3D Fluorescence Spectroscopy Combined With Chemometrics as a Tool for Control of Imprinted Protein Purification From Template Molecules

Pavel S. Pidenko, Polina M. Ilicheva, Kirill Yu. Presnyakov, Н. А. Бурмистрова, Douglas N. Rutledge
article en
2 citations

Abstract

ABSTRACT Imprinted proteins (IPs) are promising alternatives to natural recognition systems, such as biological receptors or antibodies. One of the crucial stages during development of IPs is removal of the template molecules from its complex with the protein. In this study, bovine serum albumin was imprinted in the presence of 4‐hydroxycoumarin (4‐HC); purification of IPs were carried out by dialysis, and fluorescence 3D spectroscopy was used to monitor the IP purification process. Excitation–emission matrix (EEM) was further investigated via several chemometric algorithms (principal component analysis [PCA], parallel factor analysis [PARAFAC], and independent components analysis [ICA]). We found that the models using PARAFAC and ICA worked better than those of PCA. It was shown that PARAFAC and ICA analyses allow not only to recognize IP sample with signal close to nonimprinted protein, but also to provide recommendations on the optimal dialysis time.

Journal of ChemometricsVol. 38(12)
Saratov State University (RU), Université Paris-Saclay (FR), Molécules de Communication et Adaptation des Micro-organismes (FR)
Russian Science Foundation
Openalex Percentile: Top 41%
Analytical chemistry methods development
0.47
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.