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Issue 35, 2018
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Development of a new and environmentally-friendly method to evaluate phenolic compounds from Flos Lonicerae Japonicae with ultra-high performance supercritical fluid chromatography (UHPSFC) combined with chemometrics

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Abstract

In recent years, ultra-high performance supercritical fluid chromatography (UHPSFC) has become a superior technique and powerful analysis tool for the efficient separation of natural products. The chemical variation of 10 batches of Flos Lonicerae Japonicae (FLJ) from different geographical origins was subsequently investigated by quantitating seven phenolic acids. The effect of different columns, temperature, outlet pressure, and flow rates on the separation of seven phenolic acids was studied. Four chromatographic parameters were optimized using central composite design (CCD) tests, and a fusion index established using the Derringer function was used to evaluate the results. An ACQUITY UPC2 BEH (100 × 3.0 mm, 1.7 μm) column was selected as the optimal column for the untargeted method. From the CCD tests, the optimal values for temperature and outlet pressure were determined to be 45 °C and 2900 psi, respectively. Our findings confirm that UHPSFC-PDA combined with chemometrics could be used as an efficient method for quality control of herbal medicine.

Graphical abstract: Development of a new and environmentally-friendly method to evaluate phenolic compounds from Flos Lonicerae Japonicae with ultra-high performance supercritical fluid chromatography (UHPSFC) combined with chemometrics

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Publication details

The article was received on 26 Jun 2018, accepted on 03 Aug 2018 and first published on 09 Aug 2018


Article type: Paper
DOI: 10.1039/C8AY01408F
Citation: Anal. Methods, 2018,10, 4292-4300
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    Development of a new and environmentally-friendly method to evaluate phenolic compounds from Flos Lonicerae Japonicae with ultra-high performance supercritical fluid chromatography (UHPSFC) combined with chemometrics

    H. Jiang, L. Yang, X. Xing, M. Yan, B. Yang, L. Yang, M. Cui, Q. Wang and H. Kuang, Anal. Methods, 2018, 10, 4292
    DOI: 10.1039/C8AY01408F

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