369
Views
10
CrossRef citations to date
0
Altmetric
ARTICLES

Recent trends in image evaluation of HPTLC chromatograms

, , &

References

  • Ristivojević, P.; Morlock, G. E. Effect-Directed Classification of Biological, Biochemical and Chemical Profiles of 50 German Beers. Food Chem. 2018, 260, 344–353. DOI: 10.1016/j.foodchem.2018.03.127.
  • Ristivojević, P.; Morlock, G. E. High-Performance Thin-Layer Chromatography Combined with Pattern Recognition Techniques as Tool to Distinguish Thickening Agents. Food Hydrocolloid 2017, 64, 78–84. DOI: 10.1016/j.foodhyd.2016.10.005.
  • Dimkić, I.; Ristivojević, P.; Janakiev, T.; Berić, T.; Trifković, J.; Milojković-Opsenica, D.; Stanković, S. Phenolic Profiles and Antimicrobial Activity of Various Plant Resins and Determination of Botanical Origin of Serbian Propolis. Ind. Crops Prod. 2016, 94, 856–871. DOI: 10.1016/j.indcrop.2016.09.065.
  • Fichou, D.; Ristivojević, P.; Morlock, G. E. Proof-of-Principle of rTLC, An Open-Source Software Developed for Image Evaluation and Multivariate Analysis of Planar Chromatograms. Anal. Chem. 2016, 88, 12494–12501. DOI: 10.1021/acs.analchem.6b04017.
  • Chasset, T.; Häbe, T. T.; Ristivojevic, P.; Morlock, G. E. Profiling and Classification of French Propolis by Multivariate Data Analysis of Reversed Phase Planar Chromatograms and Scanning Direct Analysis in Real Time Mass Spectra. J. Сhromatogr. A 2016, 1465, 197–204. DOI: 10.1016/j.chroma.2016.08.045.
  • Ristivojević, P. M.; Tahir, A.; Malfent, F.; Milojković Opsenica, D. M.; Rollinger, J. M. High-Performance Thin-Layer Chromatography/Bioautography and Liquid Chromatography-Mass Spectrometry Hyphenated with Chemometrics for the Quality Assessment of Morus alba Samples. J. Chromatogr. A 2019, 1594, 190–198.
  • Ristivojević, P.; Dimkić, I.; Trifković, J.; Berić, T.; Vovk, I.; Stanković, S.; Milojković-Opsenica, D. Antimicrobial Activity of Serbian Propolis Evaluated by Means of MIC, HPTLC, Bioautography and Chemometrics. PLOS One 2016, 11, e0157097-15. DOI: 10.1371/journal.pone.0157097.
  • Morlock, G.; Schwack, W. Hyphenations in Planar Chromatography. J. Chromatogr. A 2010, 1217, 6600–6609. DOI: 10.1016/j.chroma.2010.04.058.
  • Ristivojević, P.; Andrić, F. L.; Trifković, J. Đ.; Vovk, I.; Stanisavljević, L.; Tešić, Ž.; Milojković-Opsenica, D. Pattern Recognition Methods and Multivariate Image Analysis in HPTLC Fingerprinting of Propolis Extracts. J. Chemometrics 2014, 28, 301–310. DOI: 10.1002/cem.2592.
  • Choma, I. M.; Grzelak, E. M. Bioautography Detection in Thin-Layer Chromatography. J. Chromatogr. A 2011, 1218, 2684–2691. DOI: 10.1016/j.chroma.2010.12.069.
  • Fichou, D.; Gertrud, E. Morlock, QuanTLC, an Online Open-Source Solution for Videodensitometric Quantification. J. Chromatogr. A 2018, 1560, 78–81. DOI: 10.1016/j.chroma.2018.05.027.
  • Kowalska, I.; Cieśla, Ł.; Oniszczuk, T.; Waksmundzka-Hajnos, M.; Oleszek, W.; Stochmal, A. Comparison of Two TLC-DPPH-Image Processing Procedures for Studying Free Radical Scavenging Activity of Compounds from Selected Varieties of Medicago sativa. J. Liq. Chromatogr. Relat. Technol. 2013, 36, 2387–2394. DOI: 10.1080/10826076.2013.790776.
  • Sibug-Torres, S. M.; Padolina, I. D.; Cruz, P.; Garcia, F. C.; Garrovillas, M. J.; Yabillo, M. R.; Enriquez, E. P. Smartphone-Based Image Analysis and Chemometric Pattern Recognition of the Thin-Layer Chromatographic Fingerprints of Herbal Materials. Anal. Methods 2019, 11, 721–732. DOI: 10.1039/C8AY02698J.
  • Ristivojević, P.; Trifković, J.; Vovk, I.; Milojković-Opsenica, D. Comparative Study of Different Approaches for Multivariate Image Analysis in HPTLC Fingerprinting of Natural Products Such as Plant Resin. Talanta 2017, 162, 72–79. DOI: 10.1016/j.talanta.2016.10.023.
  • Komsta, Ł. Chemometrics in Fingerprinting by Means of Thin Layer Chromatography. Chromatogr. Res. Int. 2012, 1–5, Article ID 893246. DOI: 10.1155/2012/893246.
  • Komsta, Ł. A Comparative Study on Several Algorithms for Denoising of Thin Layer Densitograms. Anal. Chim. Acta 2009, 64, 152–158. DOI: 10.1016/j.aca.2009.03.042.
  • Popovic, N.; Sherma, J. Comparative Study of the Quantification of Thin-Layer Chromatograms of a Model Dye Using Three Types of Commercial Densitometers and Image Analysis with ImageJ. Trends Chromatogr. 2014, 9, 21–28.
  • Abou-Donia, A. H.; Darwish, F. A.; Toaima, S. M.; Shawky, E.; Takla, S. S. A New Approach to Develop a Standardized Method for Assessment of Acetylcholinesterase Inhibitory Activity of Different Extracts Using HPTLC and Image Analysis. J. Chromatog. B 2014, 955–956, 50–57. DOI: 10.1016/j.jchromb.2014.02.013.
  • Bloemberg, T. G.; Gerretzen, J.; Lunshof, A.; Wehrens, R.; Buydens, L. M. C. Warping Methods for Spectroscopic and Chromatographic Signal Alignment: A Tutorial. Anal. Chim. Acta 2013, 781, 14–32. DOI: 10.1016/j.aca.2013.03.048.
  • Wong, K. H.; Razmovski-Naumovski, V.; Li, K. M.; Li, G. Q.; Chan, K. Differentiating Puerariae lobatae Radix and Puerariae thomsonii Radix Using HPTLC Coupled with Multivariate Classification Analyses. J. Pharm. Biomed. Anal. 2014, 95, 11–19. DOI: 10.1016/j.jpba.2014.02.007.
  • Tian, R.; Xie, P.; Liu, H. Evaluation of Traditional Chinese Herbal Medicine: Chaihu (Bupleuri radix) by Both High-Performance Liquid Chromatographic and High-Performance Thin-Layer Chromatographic Fingerprint and Chemometric Analysis. J. Chromatogr. A 2009, 1216, 2150–2155. DOI: 10.1016/j.chroma.2008.10.127.
  • Simion, I. M.; Casoni, D.; Sârbu, C. Classification of Romanian Medicinal Plant Extracts according to the Therapeutic Effects Using Thin Layer Chromatography and Robust Chemometrics. J. Pharm. Biomed. Anal. 2019, 163, 137–143. DOI: 10.1016/j.jpba.2018.09.047.
  • Guzelmeric, P.; Ristivojevic, J.; Trifković, T.; Dastan, O.; Yilmaz, O.; Cengiz, E.; Yesilada, E. Authentication of Turkish Propolis through HPTLC Fingerprints Combined with Multivariate Analysis and Palynological Data and Their Comparative Antioxidant Activity. LWT – Food Sci. Technol. 2018, 87, 23–32. DOI: 10.1016/j.lwt.2017.08.060.
  • Shawky, E.; Ibrahim, R. S. Bioprofiling for the Quality Control of Egyptian Propolis Using an Integrated NIR-HPTLC-Image Analysis Strategy. J. Chromatogr. B 2018, 1095, 75–86. DOI: 10.1016/j.jchromb.2018.07.029.
  • Ibrahim, R. S.; Khairy, A.; Zaatout, H. H.; Hammoda, H. M.; Metwally, A. M.; Salman, A. M. Chemometric Evaluation of Alfalfa Sprouting Impact on Its Metabolic Profile Using HPTLC Fingerprint-Efficacy Relationship Analysis Modelled with Partial Least Squares Regression. J. Pharm. Biomed. Anal. 2019, 179. DOI: 10.1016/j.jpba.2019.112990.
  • Agatonovic-Kustrin, S.; Milojković-Opsenica, D.; Morton, D. W.; Ristivojevic, P. Chemometric Characterization of Wines According to Their HPTLC Fingerprints. Eur. Food Res. Technol. 2017, 243, 659–667. DOI: 10.1007/s00217-016-2779-9.
  • Hosu, A.; Danciu, V.; Cimpoiu, C. Validated HPTLC Fingerprinting and Antioxidant Activity Evaluation of Twenty-Seven Romanian Red Wines. J. Food Compos. Anal. 2015, 41, 174–180. DOI: 10.1016/j.jfca.2015.02.004.
  • Milojković-Opsenica, D.; Ristivojević, P.; Trifković, J.; Vovk, I.; Lušić, D.; Tešić, Ž. TLC Fingerprinting and Pattern Recognition Methods in the Assessment of Authenticity of Poplar-Type Propolis. J. Chromatogr. Sci. 2016, 54, 1077–1083. DOI: 10.1093/chromsci/bmw024.
  • Shawky, E.; Sohafy, S. M. E. Untargeted and Targeted Chemical Profiling for Efficacy-Directed Discrimination of Hedera helix L. Subspecies Using HPTLC-Image Analysis and HPTLC/MS. Ind. Crops Prod. 2019, DOI: 10.1016/j.indcrop.2019.111980.
  • Cieśla, Ł.; Kryszeń, J.; Stochmal, A.; Oleszek, W.; Waksmundzka-Hajnos, M. Approach to Develop a Standardized TLC-DPPH Test for Assessing Free Radical Scavenging Properties of Selected Phenolic Compounds. J. Pharm. Biomed. Anal. 2012, 70, 126–135. DOI: 10.1016/j.jpba.2012.06.007.
  • Ibrahim, R. S.; Khairy, A.; Zaatout, H. H.; Hammoda, H. M.; Metwally, A. M. Digitally-Optimized HPTLC Coupled with Image Analysis for Pursuing Polyphenolic and Antioxidant Profile during Alfalfa Sprouting. J. Chromatogr. B 2018, 1099, 92–96. DOI: 10.1016/j.jchromb.2018.09.021.
  • Ciesla, L. M.; Staszek, D.; Kowalska, T. The Use of TLC-DPPH Test with Image Processing to Study Direct Antioxidant Activity of Phenolic Acid Fractions of Selected Lamiaceae Family Species. J. AOAC Int. 2013, 96, 1228–1232. DOI: 10.5740/jaoacint.SGECiesla.
  • Olech, M.; Komsta, Ł.; Nowak, R.; Cieśla, Ł.; Waksmundzka-Hajnos, M. Investigation of Antiradical Activity of Plant Material by Thin-Layer Chromatography with Image Processing. Food Chem. 2012, 132, 549–553. DOI: 10.1016/j.foodchem.2011.10.067.
  • Pitakpawasutthi, Y.; Suwatronnakorn, M.; Issaravanich, S.; Palanuvej, C.; Ruangrungsi, N. Quality Evaluation with Reference to Clitoriacetal and in Vitro Antioxidant Activities of Clitoria macrophylla Root. J. Adv. Pharm. Technol. Res. 2019, 10, 169–177. DOI: 10.4103/japtr.JAPTR_67_19.
  • Enriquez, E. P.; Sibug-Torres, S. M. Radial Multi-Stationary Phase Thin-Layer Chromatography for the Field-Ready Fingerprinting of Herbal Materials. Anal. Methods 2019, 11, 5511–5520. DOI: 10.1039/C9AY01714C.
  • Czernicka, L.; Grzegorczyk, A.; Marzec, Z.; Antosiewicz, B.; Malm, A.; Kukula-Koch, W. Antimicrobial Potential of Single Metabolites of Curcuma longa Assessed in the Total Extract by Bioautography and Image Analysis. Int. J. Mol. Sci. 2019, 20, 898–910. DOI: 10.3390/ijms20040898.
  • Fazakaş, L.; Naşcu-Briciu, R.; Sârbu, C. A Comparative Study Concerning the Image Analysis in Thin Layer Chromatography of Fluorescent Compounds. J. Liq. Chromatogr. Relat. Technol. 2011, 34, 2315–2325. DOI: 10.1080/10826076.2011.587226.
  • Sereshti, H.; Poursorkh, Z.; Aliakbarzadeh, G.; Zarre, S. Quality Control of Saffron and Evaluation of Potential Adulteration by Means of Thin Layer Chromatography-Image Analysis and Chemometrics Methods. Food Control 2018, 90, 48–57. DOI: 10.1016/j.foodcont.2018.02.026.
  • Sereshti, H.; Poursorkh, Z.; Aliakbarzadeh, G.; Zarre, S.; Ataolahi, S. An Image Analysis of TLC Patterns for Quality Control of Saffron Based on Soil Salinity Effect: A Strategy for Data (Pre)-Processing. Food Chem. 2018, 239, 831–839. DOI: 10.1016/j.foodchem.2017.07.012.
  • Morlock, G.; Kopacz, S. Fast and Precise SBSE-HPTLC/FLD Method for Quantification of Six Polycyclic Aromatic Hydrocarbons Frequently Found in Water. J. Liq. Chromatogr. Relat. Technol. 2014, 31, 37–41.
  • Soponar, F.; Moţ, A. C.; Sârbu, C. Quantitative Determination of Some Food Dyes Using Digital Processing of Images Obtained by Thin-Layer Chromatography. J. Chromatogr. A 2008, 1188, 295–300. DOI: 10.1016/j.chroma.2008.02.077.
  • Johnsson, R.; Träff, G.; Sundén, M.; Ellervik, U. Evaluation of Quantitative Thin Layer Chromatography Using Staining Reagents. J. Chromatogr. A 2007, 1164, 298–305. DOI: 10.1016/j.chroma.2007.07.029.
  • Hess, A. V. I. Digitally Enhanced Thin-Layer Chromatography: An Inexpensive, New Technique for Qualitative and Quantitative Analysis. J. Chem. Educ. 2007, 84, 842–847. DOI: 10.1021/ed084p842.
  • Anamaria, T. I.; Dorina, C.; Costel, S. Comparative Study of Different TLC-Image Analysis Methods for Quantitative Evaluation of Parabens in Pharmaceutical Suspensions. Studia Univ. Babes-Bolyai Chem. 2012, 57, 83–93.
  • Skowron, M.; Zakrzewski, R.; Ciesielski, W. Application of Thin-Layer Chromatography Image Analysis Technique in Quantitative Determination of Sphingomyelin. J. Anal. Chem. 2016, 71, 808–813. DOI: 10.1134/S1061934816080116.
  • Anamaria, S. I.; Dorina, C.; Sarbu, C. High Sensitive and Selective HPTLC Method Assisted by Digital Image Processing for Simultaneous Determination of Catecholamines and Related Drugs. Talanta 2013, 114, 117–123.
  • Phanphruk, D.; Thiphol, S.; Patoomratana, T.; Juwadee, S.; Atitaya, S. A Simple Analytical Platform Based on Thin-Layer Chromatography Coupled with Paper-Based Analytical Device for Determination of Total Capsaicinoids in Chilli Samples. Talanta 2017, 162, 460–465.
  • Yu, H.; Zhuang, D.; Hu, X.; Zhang, S.; He, Z.; Zeng, M.; Fang, X.; Chen, J.; Chen, X. Rapid Determination of Histamine in Fish by Thin Layer Chromatography-Image Analysis Method Using Diazotized Visualization Reagent Prepared with p-Nitroaniline. Anal. Methods 2018, 10, 3386–3392. DOI: 10.1039/C8AY00336J.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.