Chromatographic separation techniques and data handling methods for herbal fingerprints: a review.

As herbal medicines have an important position in health care systems worldwide, their current assessment and quality control are a major bottleneck. Over the past decade, major steps were taken not only to improve the quality of the herbal products but also to develop analytical methods ensuring their quality. Nowadays, chromatographic fingerprinting is the generally accepted technique for the assessment and quality control of herbal products. This paper briefly considers the evolution of the regulations and guidelines on the quality control of herbal medicines, and reviews the established analytical techniques for herbal fingerprinting with an emphasis on the most recent developments, such as miniaturized techniques, new stationary phases, analysis at high temperatures and multi-dimensional chromatography. Accessory to the new analytical techniques, the chemometric data handling techniques applied are discussed. Chemometrics provide scientists with useful tools in understanding the huge amounts of data generated by the analytical advances and prove to be valuable for quality control, classification and modelling of, and discrimination between herbal fingerprints.info:eu-repo/semantics/publishe

Bilinear Decomposition Based Alignment of Chromatographic Profiles

A novel alignment procedure for chromatographic signals with photodiode array detection is presented. At first, the complexity of the chromatographic signals is reduced by chemometric resolution of the pure constituents. For this, the application of multivariate curve resolution–alternating least squares leads to the decomposition of the multiway data block into a chemically meaningful bilinear model representing the chromatographic profiles and their spectral signatures. The flexible implementation of a spectral selectivity constraint allows the background to be differentiated from the constituent spectra. Hereby, the pure concentration profiles are obtained which are consequently individually aligned by correlation optimized warping. In its final step, the procedure reconstitutes the original data with the aligned chromatographic profiles and their corresponding spectra. The alignment is evaluated for two sets of chromatographic signals. The new procedure improves the original application of correlation optimized warping minimizing the risks of aligning noncorresponding chromatographic information

ORAL PRES. Herbal Fingerprints: Extraction of Information

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ORAL PRES. ON INVITATION :Chromatographic herbal fingerprints: Development, Validation, and Data Handling

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ORAL PRES. Herbal fingerprints: development and extraction of information

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POSTER: Data handling of chromatographic herbal fingerprints

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ORAL PRES. Data analysis of HPLC fingerprints from Mallotus and Phyllanthus samples

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POSTER: Quality control of Citri reticulatae pericarpium based on chemometrically treated HPLC fingerprints

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ORAL PRES. Fused-core stationary phases for fingerprint development of Phyllanthus and Mallotus species

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