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.
Trends Anal. Chem. 149, 116554 (2022). Review of extraction, separation, purification, and identification of Cannabis sativa bioactive compounds. The paper described TLC and HPTLC methods for the analysis of flavonoids, polyphenols, and terpenoids in C. sativa, as well as the characterization of cannabinoids in hemp and cannabis preparations, and its combination with mass spectrometry.
Food Res. Int. 157, 111198 (2022). Review of applications on the range of rapid non-invasive and destructive technologies developed for evaluating the adulteration of different powdered horticultural products, including HPTLC methods. The paper described the analysis of black pepper from adulterated samples with papaya seed powder.
Food Chem. 145, 109482 (2023). Review of analytical techniques and applications to assess authenticity of honey and detect adulterants, including TLC and HPTLC. In addition, HPTLC fingerprinting of lipophilic fractions of honey of various botanical sources.
Food Chem. 132937 (2022). Review of TLC assays, including cellular, enzymatic and chemical, and their application for effect-directed food-related analysis, in the last five years. TLC assays for the analysis of antioxidants and for the detection of enzyme inhibitors were described. Microorganism based TLC assays for the detection of antimicrobials, aflatoxins and estrogenic compounds were also presented. TLC methods for the detection of bisphenol and dioxin-like chemicals were described.
Food Chem. 134216 (2023). Review of emerging techniques for the analysis of animal-derived food, including HPTLC methods for authenticity and origin tracing of honeys. In particular, methods for the determination of phenols in honey was cited using principal component analysis as discrimination model.
J. Planar Chromatogr. 35, 229-241 (2022). Review of the advances, limitations and challenges faced by the application of HPTLC for lipidomic analysis. The paper described methods for the separation of phospholipids (PL) and/or sphingolipids (SL) on silica gel HPTLC plates from different samples in lipidomic studies, including matrices and development conditions. HPTLC methods for separating lipid classes and subclasses, combined with semi-quantification by UV‒FL densitometry and mass spectrometry were also described. HPTLC and genetic knockouts was also discussed as an emerging field.
J. Planar Chromatogr. 34, 369-375 (2021). Review of the application of TLC and HPTLC for the analysis of inorganic anions between 1995 and 2020, including separation techniques in multicomponent mixtures.
Rapid Commun. Mass Spectrom. 35, 9013 (2021). Review of the application of direct analysis in real time (DART) combined with mass spectrometry (MS) detection in food science and industry published in the period from 2005 to this date. The applications described the use of HPTLC in preparation methods as well as the combination of HPTLC fingerprints and DART-MS with multivariate data analysis for the differentiation of natural propolis products.