Recent trends in image evaluation of HPTLC chromatograms
Abstract
In the current article, an overview of recent applications and opportunities of image evaluation of
high-performance thin-layer chromatograms (HPTLC) in food analysis and natural product
research is presented. The article shortly covers the aspects of specialized software packages for
image analysis, image post-correction, signal acquisition, and preprocessing. Contemporary aspects
of image-based HPTLC fingerprinting, quantification of target compounds, and advanced chemometric
modeling were reviewed. Special attention was dedicated to freely available software packages.
Advantages and disadvantages of each one were discussed in terms of abilities to obtain
chromatographic profiles and perform crucial steps in signal manipulation, such as background
subtraction, denoising, and background detrending. The most frequently applied techniques for
signal manipulation have been discussed and recommendation provided. In that sense, the article
aims to provide a valuable guideline for... readers dealing with the application of HPTLC image analysis
in food and natural products research, especially in connection with the most frequently used
chemometric techniques, in domains of pattern recognition, classification, and regression.
Keywords:
Fingerprint / image processing / planar chromatography / quantification / softwareSource:
Journal of Liquid Chromatography & Related Technologies, 2020, 43, 291-299Publisher:
- Marcel Dekker
Funding / projects:
- Structure-properties relationships of natural and synthetic molecules and their metal complexes (RS-172017)
DOI: 10.1080/10826076.2020.1725555
ISSN: 1082-6076
WoS: 000514441700001
Scopus: 2-s2.0-85079698729
Collections
Institution/Community
Hemijski fakultet / Faculty of ChemistryTY - JOUR AU - Ristivojević, Petar AU - Trifković, Jelena AU - Andrić, Filip AU - Milojković-Opsenica, Dušanka PY - 2020 UR - http://cherry.chem.bg.ac.rs/handle/123456789/5198 AB - In the current article, an overview of recent applications and opportunities of image evaluation of high-performance thin-layer chromatograms (HPTLC) in food analysis and natural product research is presented. The article shortly covers the aspects of specialized software packages for image analysis, image post-correction, signal acquisition, and preprocessing. Contemporary aspects of image-based HPTLC fingerprinting, quantification of target compounds, and advanced chemometric modeling were reviewed. Special attention was dedicated to freely available software packages. Advantages and disadvantages of each one were discussed in terms of abilities to obtain chromatographic profiles and perform crucial steps in signal manipulation, such as background subtraction, denoising, and background detrending. The most frequently applied techniques for signal manipulation have been discussed and recommendation provided. In that sense, the article aims to provide a valuable guideline for readers dealing with the application of HPTLC image analysis in food and natural products research, especially in connection with the most frequently used chemometric techniques, in domains of pattern recognition, classification, and regression. PB - Marcel Dekker T2 - Journal of Liquid Chromatography & Related Technologies T1 - Recent trends in image evaluation of HPTLC chromatograms VL - 43 SP - 291 EP - 299 DO - 10.1080/10826076.2020.1725555 ER -
@article{ author = "Ristivojević, Petar and Trifković, Jelena and Andrić, Filip and Milojković-Opsenica, Dušanka", year = "2020", abstract = "In the current article, an overview of recent applications and opportunities of image evaluation of high-performance thin-layer chromatograms (HPTLC) in food analysis and natural product research is presented. The article shortly covers the aspects of specialized software packages for image analysis, image post-correction, signal acquisition, and preprocessing. Contemporary aspects of image-based HPTLC fingerprinting, quantification of target compounds, and advanced chemometric modeling were reviewed. Special attention was dedicated to freely available software packages. Advantages and disadvantages of each one were discussed in terms of abilities to obtain chromatographic profiles and perform crucial steps in signal manipulation, such as background subtraction, denoising, and background detrending. The most frequently applied techniques for signal manipulation have been discussed and recommendation provided. In that sense, the article aims to provide a valuable guideline for readers dealing with the application of HPTLC image analysis in food and natural products research, especially in connection with the most frequently used chemometric techniques, in domains of pattern recognition, classification, and regression.", publisher = "Marcel Dekker", journal = "Journal of Liquid Chromatography & Related Technologies", title = "Recent trends in image evaluation of HPTLC chromatograms", volume = "43", pages = "291-299", doi = "10.1080/10826076.2020.1725555" }
Ristivojević, P., Trifković, J., Andrić, F.,& Milojković-Opsenica, D.. (2020). Recent trends in image evaluation of HPTLC chromatograms. in Journal of Liquid Chromatography & Related Technologies Marcel Dekker., 43, 291-299. https://doi.org/10.1080/10826076.2020.1725555
Ristivojević P, Trifković J, Andrić F, Milojković-Opsenica D. Recent trends in image evaluation of HPTLC chromatograms. in Journal of Liquid Chromatography & Related Technologies. 2020;43:291-299. doi:10.1080/10826076.2020.1725555 .
Ristivojević, Petar, Trifković, Jelena, Andrić, Filip, Milojković-Opsenica, Dušanka, "Recent trends in image evaluation of HPTLC chromatograms" in Journal of Liquid Chromatography & Related Technologies, 43 (2020):291-299, https://doi.org/10.1080/10826076.2020.1725555 . .