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dc.creatorRistivojević, Petar
dc.creatorTrifković, Jelena
dc.creatorAndrić, Filip
dc.creatorMilojković-Opsenica, Dušanka
dc.date.accessioned2022-05-31T13:59:10Z
dc.date.available2022-05-31T13:59:10Z
dc.date.issued2020
dc.identifier.issn1082-6076
dc.identifier.urihttp://cherry.chem.bg.ac.rs/handle/123456789/5198
dc.description.abstractIn 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.sr
dc.language.isoensr
dc.publisherMarcel Dekkersr
dc.relationinfo:eu-repo/grantAgreement/MESTD/Basic Research (BR or ON)/172017/RS//sr
dc.rightsrestrictedAccesssr
dc.sourceJournal of Liquid Chromatography & Related Technologiessr
dc.subjectFingerprintsr
dc.subjectimage processingsr
dc.subjectplanar chromatographysr
dc.subjectquantificationsr
dc.subjectsoftwaresr
dc.titleRecent trends in image evaluation of HPTLC chromatogramssr
dc.typearticlesr
dc.rights.licenseARRsr
dc.citation.volume43
dc.citation.spage291
dc.citation.epage299
dc.identifier.wos000514441700001
dc.identifier.doi10.1080/10826076.2020.1725555
dc.citation.rankM23
dc.type.versionpublishedVersionsr
dc.identifier.scopus2-s2.0-85079698729


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