Abstract
High-performance thin-layer chromatography (HPTLC) is a versatile and flexible technique for the analysis of herbal and medicinal plants. Standardization of plant materials was essential for their identification and assessment of quality in herbal medicines. Moreover, HPTLC fingerprinting analysis represents as an important analytical tool for semiquantitative, qualitative and quantitative estimation of phytochemicals. This incorporates the TLC fingerprinting analysis and estimation of biomarkers. Quantification of various pharmacological active constituents was estimated by fingerprinting in herbal plants which leads to conquer the therapeutic effects of phytochemicals incorporated in herbal medicines. The phytochemicals obtained by HPTLC fingerprinting from herbal plants will tell the number of constituents present. Authentication of these constituents can be done by marker compounds which will ensure the therapeutic potential of the herbal plants used in Indian traditional medicine. Due to its simplicity and reliability, this technique is popular amongst other techniques. Chromatographic fingerprinting analysis will represent the qualitative method for the purpose of authentication, quality and ratio of constituents in herbal plants.
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Abbreviations
- HPTLC:
-
High-performance thin-layer chromatography
- ICH:
-
International Council for Harmonisation
- LOD:
-
Limit of detection
- LOQ:
-
Limit of quantitation
- mg/mL:
-
Milligram/millilitre
- ng:
-
Nanogram
- nm:
-
Nanometre
- R f :
-
Retardation factor
- RSD:
-
Relative standard deviation
- S/N:
-
Signal-to-noise ratio
- SD:
-
Standard deviation
- v/v:
-
Volume/volume
- w/w:
-
Weight/weight
- μg/μL:
-
Microgram/millilitre
- μm:
-
Micrometre
References
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Kokate CK, Purohit AP, Gokhale SB (2008) Pharmacognosy. Nirali Prakashan, India
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Singh, S., Mishra, S.B., Mukerjee, A. (2021). HPTLC Fingerprinting Analysis of Phytoconstituents from Indigenous Medicinal Plants. In: Mandal, S.C., Chakraborty, R., Sen, S. (eds) Evidence Based Validation of Traditional Medicines. Springer, Singapore. https://doi.org/10.1007/978-981-15-8127-4_17
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DOI: https://doi.org/10.1007/978-981-15-8127-4_17
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