An Overview of HPTLC: A Modern Analytical Technique with Excellent Potential for Automation, Optimization, Hyphenation, and Multidimensional Applications
Integrity signals
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Cites
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The HPTLC technique is a convenient and effective approach for qualitative and quantitative analysis and standardization of medicinal materials.
“However, the HPTLC technique stands out as a convenient and effective approach for qualitative and quantitative analysis, as well as standardization of medicinal materials.”
From Phytoecdysteroids: Quantification in Selected Plant Species and Evaluation of Some Effects on Gastric Smooth Muscles (2024) · cites this paper as [50]
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References 63 · Cited by 48
- Authors
- Srivastava, M.
- Affiliations
- Dayalbagh Educational Institute (IN)
- Corresponding author
- Srivastava, MM.
- Venue
- High-Performance Thin-Layer Chromatography (HPTLC)
- Publisher
- Springer Berlin Heidelberg
- Published
- 2010-09-20
- Pages
- 3-24
- OpenAlex
- W1509535605
- Cited by
- 48
- References
- 63
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 10 · 2023: 7 · 2022: 8 · 2021: 5 · 2020: 1 · 2019: 1 · 2017: 2 · 2016: 2 · 2015: 2 · 2014: 4
- FWCI
- 0.00
- Type
- book chapter
- Language
- en
- Open access
- closed
- Licence
- Locations
- Springer eBooks (publishedVersion)
- Topics
- Physical Sciences › Chemistry › Spectroscopy › Analytical Chemistry and Chromatography
- Physical Sciences › Chemistry › Analytical Chemistry › Chromatography in Natural Products
- Physical Sciences › Chemistry › Analytical Chemistry › Analytical Methods in Pharmaceuticals
- Keywords
- HPTLC, thin-layer chromatography, multidimensional chromatography, combinatorial chemistry, environmental fate
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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