
pmid: 20883186
The use of chromatographic fingerprints from herbal products where the whole chromatographic profile is applied to evaluate the quality of the investigated product. In this paper, recent developments in the set-up and data analysis of chromatographic fingerprints for herbal products are discussed. First different set-ups for fingerprint development are reviewed. Prior to fingerprint development, a suitable sample preparation, e.g. extraction, should be considered. In a second instance, this review focuses on the data analysis with regards to the different applications of fingerprints. Usually, chemometric data pretreatment is necessary. This is discussed first, followed by a short overview of the data handling techniques used in the two main application areas of herbal fingerprints, i.e. quality assurance and classification or calibration. The quality assurance, which involves the identification and quality control of the herbal products, is reviewed, followed by the use of fingerprints in classification or modelling. The different application areas are illustrated and discussed with several case studies.
Quality Control, Chromatography, Plants, Medicinal, Plant Extracts, Herbal Medicine, Chromatography -- methods -- trends, Pharmaceutical Preparations -- analysis, Sciences bio-médicales et agricoles, Plants, Medicinal -- chemistry, Pharmaceutical Preparations, Plant Extracts -- analysis, Herbal Medicine -- standards
Quality Control, Chromatography, Plants, Medicinal, Plant Extracts, Herbal Medicine, Chromatography -- methods -- trends, Pharmaceutical Preparations -- analysis, Sciences bio-médicales et agricoles, Plants, Medicinal -- chemistry, Pharmaceutical Preparations, Plant Extracts -- analysis, Herbal Medicine -- standards
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 58 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
