Cumulative CAMAG Bibliography Service CCBS

Our CCBS database includes more than 11,000 abstracts of publications. Perform your own detailed search of TLC/HPTLC literature and find relevant information.

The Cumulative CAMAG Bibliography Service CCBS contains all abstracts of CBS issues beginning with CBS 51. The database is updated after the publication of every other CBS edition. Currently the Cumulative CAMAG Bibliography Service includes more than 11'000 abstracts of publications between 1983 and today. With the online version you can perform your own detailed TLC/HPTLC literature search:

  • Full text search: Enter a keyword, e.g. an author's name, a substance, a technique, a reagent or a term and see all related publications
  • Browse and search by CBS classification: Select one of the 38 CBS classification categories where you want to search by a keyword
  • Keyword register: select an initial character and browse associated keywords
  • Search by CBS edition: Select a CBS edition and find all related publications

Registered users can create a tailor made PDF of selected articles throughout CCBS search – simply use the cart icon on the right hand of each abstract to create your individual selection of abstracts. You can export your saved items to PDF by clicking the download icon.

Page
      118 052
      Lipase activity of tropical oilseed plants for ethyl biodiesel synthesis and their typo- and regioselectivity
      P. KOUTEU, B. BAREA, N. BAROUH, J. BLIN, P. VILLENEUVE* (*Centre de Coope?ration Internationale en Recherche Agronomique pour le De?veloppement (CIRAD), 73 rue Jean-Franc?ois Breton, 34393 Cedex 5 Montpellier, France, pierre.villeneuve@cirad.fr)

      J. Agric. Food Chem. 64, 8838-8847 (2016). HPTLC of free fatty acids produced after treatment of vegetable oils with crude lipase extracts from germinated seeds of Adansonia suarezensis, Adansonia grandidieri, Moringa oleifera, Moringa drouhardii, Jatropha mahafalensis, and Jatropha curcas seeds on silica gel with hexane – diethyl ether – acetic acid 70:30:1. The hRF value of free fatty acid was 43.

      Classification: 11c, 20
      118 092
      (Study of the method for the identification of the medicinal material, Fortune Paulownia leaf, by thin-layer chromatography) (Chinese)
      D. YANG (Yang Dequan)*, CH. YANG (Yang Changwu), X. HAN (Han Xiangyun) (*Inst. of Xiangxi Tujia & Miao Autonomous Prefecture for Food & Drug Insp., Hunan, Jishou 416000, China, 1198707038@qq.com)

      Chinese J. of Drug Evaluation 32 (4), 193-194 (2015). Fortune Paulownia leaf, the dry leaf of Paulownia fortunei (Seem.) Hemsl, is a TCM raw material used for treatment of carbuncles, furuncles, trauma, hemorrhage, etc. For quality control, TLC of its extracts on silica gel previously impregnated with 1 % iodine in dichloromethane and developed with cyclohexane – ethyl acetate – glacial acetic acid 20:6:1, detection by spraying with 10 % sulfuric acid in ethanol and heating at 105 ºC until the zones are clearly visualized, viewing (A) in white light and (B) under UV 366 nm. Identification by fingerprint comparison with the standards oleanolic acid (hRf 67) and ursolic acid (hRf 60) and the reference raw material in parallel.

      Classification: 32e
      119 036
      Profiling and classification of French propolis by combined multivariate data analysis of planar chromatograms and scanning direct analysis in real time mass spectra
      T. CHASSET, T.T. HÄBE, P. RISTIVOJEVIC, Gertrud E. MORLOCK* (*Justus Liebig Univ. Giessen, Interdisciplinary Res. Center (IFZ) & Inst. of Nutrit. Sci., Dep. of Food Sci., Heinrich-Buff-Ring 26-32, 35392 Giessen, Germany)

      J. Chromatogr. A 1465, 197-204 (2016). Demonstration of a strategy for an improved quality control of propolis shown on the example of 30 French propolis samples based on evaluation of their HPTLC fingerprints in combination with selected mass signals obtained by desorption-based scanning mass spectrometry (MS). Separation of the French propolis sample extracts by HPTLC on silica gel with n-hexane – ethyl acetate - acetic acid 5:3:1 and on RP phase with n-hexane – toluene – ethyl acetate – formic acid – acetic acid 16:6:10:3:3, both in twin-trough chambers with 37 % hydrochloric acid applied on a filter paper in the second trough of the chamber. Analysis of the fingerprints, obtained by two different detection modes, i.e. after (1) derivatization with NP and PEG reagents and fluorescence detection at UV 366 nm and (2) scanning direct analysis in real time (DART)-MS, by multivariate data analysis. The best classification was obtained using both methods, RP-HPTLC-FLD and RP-HPTLC-DART-MS, in combination with pattern recognition techniques, such as principal component analysis. Observation of the characteristic patterns from the two types, in which all investigated French propolis samples were divided. Identification of phenolic compounds, such as caffeic acid, p-coumaric acid, chrysin, pinobanksin, pinobanksin-3-acetate, galangin, kaempferol, tectochrysin and pinocembrin, as characteristic marker compounds of French propolis samples. Confirmation of the presence of two botanically different types of propolis, known as the blue and orange types.

      Classification: 4e, 7, 8
      119 091
      An image analysis of TLC patterns for quality control of saffron based on soil salinity effect
      H. SERESHTI*, Z. POURSORKH, G. ALIAKBARZADEH, S. ZARRE, S. ATAOLAHI (*School of Chemistry, College of Science, University of Tehran, Tehran, Iran, sereshti@ut.ac.ir)

      Food Chem. 239, 831-839 (2018). HPTLC of saffron on silica gel with 1-butanol – acetic acid – water 4:1:1. Qualitative identification at UV 254 nm. The hRf values of the nine detected zones (crocins and picrocrocin derivatives) were 19, 29, 43, 56, 63, 67, 80, 85, and 96. Captured images were imported to the MATLAB program for pattern recognition and discrimination between different saffron samples on the basis of their soil electro-conductivity values as indicator of soil salinity. The data pre-processing included elimination of chromatographic artifacts such as baseline drifts and spot misalignment.

      Classification: 30b, 32e
      120 010
      Morinda officinalis How – A comprehensive review of traditional uses, phytochemistry and pharmacology
      J. ZHANG (Zhang Jian Hua), H. XIN (Xin Hai Liang), Y. XU (Xu Yue Ming), Y. SHEN (Shen Yi), Y. HE (He Yu Qiong), H. YEH (Yeh Hsien), B. LIN (Lin Bing), H. SONG (Song Hong Tao), J. LIU (Liu Juan), H. YANG (Yang Hai Yue), L. QIN (Qin Lu Ping), Q. ZHANG* (Zhang Qiao Yan), J. DU (Du Juan) (*Department of Pharmacognosy, School of Pharmacy, Second Military Medical University, 325 Guohe Road, Shanghai 200433, China, zqy1965@163.com)

      J. Ethnopharmacol. 213, 230-255 (2018). Review of the botany, ethnopharmacology, phytochemistry, biological activities, nutritional value, possible molecular mechanisms, safety and clinical applications of Morinda officinalis with a special focus on its bioactivities, including the application of HPTLC for the analysis of oligosaccharides from different habitats.

      Classification: 1, 10a
      120 033
      Identification of some bioactive metabolites in a fractionated methanol extract from Ipomoea aquatica (aerial parts) through TLC, HPLC, UPLC-ESI-QTOF-MS and LC-SPE-NMR fingerprint analyses
      M. GAD, E. TUENTER, N. EL-SAWI, S. YOUNES, E. EL-GHADBAN, K. DEMEYER, L. PIETERS, Y. VANDER HEYDEN*, D. MANGELINGS (*Department of Analytical Chemistry
      and Pharmaceutical Technology, Centre for Pharmaceutical Research, Vrije
      Universiteit Brussel (VUB), Laarbeeklaan 103, 1090 Brussels, Belgium, yvanvdh@vub.ac.be)

      Phytochem. Anal. 29, 5-15 (2018). TLC fingerprint of Ipomoea aquatica on silica gel with methanol – water from 1:1 to 9:1 (1) or methanol with 0.05 % trifluoroacetic acid – water with 0.05 % trifluoroacetic acid 1:1 (2). Detection by spraying with anisaldehyde sulfuric acid reagent. Detection under UV 254 nm, 366 nm, and for (2), white light (yellow bands at hRF 19 and 25). The post chromatographic visualization possibilities indicate the potential of TLC in qualitative fingerprint analysis.

      Classification: 7, 8a
      120 066
      Thin-layer chromatography–fingerprint, antioxidant activity, and gas chromatography–mass spectrometry profiling of several Origanum L
      T. BAJ, E. SIENIAWSKA*, A. LUDWICZUK, J. WIDELSKI, A. KIELTYKA, K. SKALICKA, K. GLOWNIAK (*Department of Pharmacognosy with Medicinal Plant Unit, Medical
      University of Lublin, Chodzki 1, 20-093 Lublin, Poland, esieniawska@pharmacognosy.org)

      species. J. Planar Chromatogr. 30, 386-391 (2017). HPTLC fingerprints of 7 Origanum L. species on silica gel with toluene – ethyl acetate 19:1. Detection by spraying half of the chromatographic plate with an ethanolic mixture (ratio not given) of a 1 % vanillin solution and a 5 % sulfuric acid solution, followed by heating at 105 °C, while spraying the other half with 0.2 % 2,2-diphenyl-1-picrylhydrazyl (DPPH*) reagent. Detection under white light illumination. Principal component analysis (PCA) allowed for the determination of different chemotypes of the examined oils.

      Classification: 15b
      121 015
      Reversed-phase and normal-phase thin-layer chromatography and their application to the lipophilicity prediction of synthetic pyrethroids based on quantitative structure–retention relationships
      J. NOWAKOWSKA, K. CIURA*, P. KAWCZAK, B. WIELGOMAS, T. BACZEK (*Department of Physical Chemistry, Medical University of Gda?sk, Faculty of Pharmacy, Al. Gen. J. Hallera 107, 80-416 Gda?sk, Poland, krzesimir.ciura@gmail.com)

      J. Planar Chromatogr. 31, 99-104 (2018). HPTLC of synthetic pyrethroids (allethrin, cyfluthrin, cyhalothrin, cypermethrin, deltamethrin, fenvalerate, and permethrin) on silica gel and RP-18 with the following systems: a) RP-TLC with acetone – water in the ratio of 20 % to 80 %, acetonitrile – water 50 % to 100 %, tetrahydrofuran – water 50 % to 100 %; b) NP-TLC with acetone – petroleum ether 20 % to 100 %, tetrahydrofuran – petroleum ether 20 % to 80 %, and acetonitrile – petroleum ether 0 % to 100 % (v/v). The best chromatographic system to predict log P is RP-TLC and a mixture of tetrahydrofuran and water.

      Classification: 2c
Page