ArticlePloS one2021
Development of an HPTLC-based dynamic reference standard for the analysis of complex natural products using Jarrah honey as test sample.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Exploring the potential of natural products in treating alopecia areata.Journal of pharmaceutical analysis · 2026Review
- Physicochemical Characteristics, Antioxidant Properties, and Identification of Bioactive Compounds in Australian Stingless Bee Honey Using High-Performance Thin-Layer Chromatography.Molecules (Basel, Switzerland) · 2025Article
- Antioxidant Activity and Phenolic Compound Identification and Quantification in Western Australian Honeys.Antioxidants (Basel, Switzerland) · 2023Article
- The Development and Application of a HPTLC-Derived Database for the Identification of Phenolics in Honey.Molecules (Basel, Switzerland) · 2022Article
- Molecular docking analysis of estrogen receptor binding phytocomponents identified from the ethyl acetate extract ofBioinformation · 2022Article
- An investigation of the suitability of melissopalynology to authenticate Jarrah honey.Current research in food science · 2022Article
- Bioprospecting of fungal endophytes from Oroxylum indicum (L.) Kurz with antioxidant and cytotoxic activity.PloS one · 2022Article
- Detection of syrup adulterants in manuka and jarrah honey using HPTLC-multivariate data analysis.PeerJ · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this paper, we describe a novel approach to the development of a reference standard for the quality control of complex natural products, which will assist in the assessment of their authenticity and purity. The proposed method provides a template for the selection of samples, which can be pooled to obtain a reference standard. A shortfall of such an approach is, however, that the pooled sample is static in nature and therefore unable to capture difference in processing conditions or natural variations triggered by geographical or climatic impacts over time. To address this, the paper also outlines the development of a dynamic reference standard, which allows for ongoing adjustments to future variations. The method employs High-Performance Thin Layer Chromatography (HPTLC) derived extract profiles processed by multivariate analysis. The development of the dynamic reference standard is illustrated using honey, a complex natural matrix, as an example.
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Registered trials
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