Quality control of commercial cranberry products: HPTLC-densitometry a new deal

A fast quality control protocol based on reference BL-DMAC assay and High-performance thin-layer chromatography (HPTLC)-Densitometry was optimized for routine quality control of cranberry (Vaccinium macrocarpon) products. The sample preparation appeared as a key step to ensure a relevant comparison...

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Veröffentlicht in:Food control 2018-04, Vol.86, p.214-223
Hauptverfasser: Boudesocque-Delaye, Leslie, Lanoue, Arnaud, Dorat, Joëlle, Bruyère, Frank, Gueiffier, Alain, Enguehard-Gueiffier, Cécile
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Sprache:eng
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Zusammenfassung:A fast quality control protocol based on reference BL-DMAC assay and High-performance thin-layer chromatography (HPTLC)-Densitometry was optimized for routine quality control of cranberry (Vaccinium macrocarpon) products. The sample preparation appeared as a key step to ensure a relevant comparison of products quality and biological data. Sequential solid/liquid extractions were required to fully extract polyphenols, regardless the extraction solvent chosen. The HPTLC-densitometry herein protocol used epicatechin, PAC-A2 and PAC-B2 as quality markers and densitometric measurements at 200 nm. The PAC-A2/Epicatechin ratio, obtained using HPTLC, appeared as an appropriate indicator of the quality of cranberry ingredient. Only two products, among the tested panel, exhibited a high quality cranberry-based ingredient using this criteria. UPLC-MS analyses coupled to multivariate analyses confirmed HPTLC-densitometry conclusions. This work highlighted the plural PAC composition of commercial products and the lack of standardization for cranberry-based products on the market, explaining the non-reproducibility of clinical trials. •HPTLC-densitometry protocol was optimized for low concentrated PACs products.•Solid/liquid extraction appeared as a key step.•This work highlighted the plural PAC composition of commercial products.•UPLC-MS combined to multivariate analysis confirmed HPTLC data.•PAC-A2/Epicatechin ratio >2 is a pertinent quality indicator.
ISSN:0956-7135
1873-7129
DOI:10.1016/j.foodcont.2017.11.017