Phytochemical Analysis

Cover image for Vol. 28 Issue 1

Editor-in-Chief: Satyajit D. Sarker

Impact Factor: 2.497

ISI Journal Citation Reports © Ranking: 2015: 25/75 (Chemistry Analytical); 37/77 (BIOCHEMICAL RESEARCH METHODS); 49/209 (Plant Sciences)

Online ISSN: 1099-1565

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Many Congratulations to Award Winners

Congratulations to Andy J. Pérez, Institute of Soil Science and Plant Cultivation, State Research Institute, Poland and Jan Šimura, Palacký University of Olomouc, Czech Republic on winning the PCA best oral presentation awards at the 2016 Trends in Natural Products Research conference, and to Yaroslav Faletrov, Belarusian State University, Belarus on winning the PCA best oral presentation award at the 23rd Conference on Isoprenoids in Minsk.

2016 Best oral presentation award

2016 Best oral presentation award

2016 Best oral presentation award

Recently Published Articles

  1. 1H qNMR Quantification of Annonaceous Acetogenins in Crude Extracts of Annona muricata L. Fruit Pulp

    Natacha Bonneau, Timothé Cynober, Jean-Christophe Jullian and Pierre Champy

    Version of Record online: 16 JAN 2017 | DOI: 10.1002/pca.2668

    The development and the validation of a 1H qNMR method for the direct quantification of the neurotoxins Annonaceous acetogenins (sub-types 1a and 1b) in crude extracts of fruit pulps are presented. This simple method was applied to 7 samples of soursop fruits (Annona muricata L.) harvested in various tropical regions.

  2. Simultaneous Determination of Four Triterpenoid Saponins in Aralia elata Leaves by HPLC-ELSD Combined with Hierarchical Clustering Analysis

    Yichun Sun, Baimei Li, Xiaoting Lin, Juan Xue, Zhibin Wang, Hongwei Zhang, Hai Jiang, Qiuhong Wang and Haixue Kuang

    Version of Record online: 10 JAN 2017 | DOI: 10.1002/pca.2662

    An HPLC-ELSD method was developed to quantify Aralia-saponin IV, Aralia-saponin VI, 3-O-β-d-glucopyranosyl-(1 [RIGHTWARDS ARROW] 3)-β-d-glucopyranosyl-(1 [RIGHTWARDS ARROW] 3)- β-d-glucopyranosyl oleanolic acid 28-O-β-d-glucopyranoside and Aralia-saponin V in Aralia elata leaves. This method was applied to determine the contents of the four major triterpenoid saponins in 53 samples from different regions of northeast China. Hierarchical clustering analysis was firstly used to classify and differentiate Aralia elata leaves.

  3. RP-HPLC-DAD-ESI-QTOF-MS based metabolic profiling of the potential Olea europaea by-product “wood” and its comparison with leaf counterpart

    Sonda Ammar, Maria del Mar Contreras, Boutheina Gargouri, Antonio Segura-Carretero and Mohamed Bouaziz

    Version of Record online: 9 JAN 2017 | DOI: 10.1002/pca.2664

    Olive tree wood is an untapped resource with little information about their chemical composition. Therefore, a phenolic profiling of “Chemlali‘ olive wood was performed by RP-HPLC-DAD-QTOF-MS and –MS/MS and compared to leaves+stems. Overall, 85 compounds were characterised: sugars (3), organic acids (5), one phenolic aldehyde, simple phenolic acids (6), simple phenylethanoids (5), flavonoids (14), coumarins (3), caffeoyl phenylethanoid derivatives (6), iridoids (5), secoiridoids (32), and lignans (5). The major part of these metabolites was not previously reported in this matrix.

  4. Reverse Iontophoretic Extraction of Metabolites from Living Plants and their Identification by Ion-chromatography Coupled to High Resolution Mass Spectrometry

    Maria Isabel González Sánchez, James McCullagh, Richard H. Guy and Richard G. Compton

    Version of Record online: 28 DEC 2016 | DOI: 10.1002/pca.2660

    We report a simple and non-invasive method for the in situ detection of several important plant metabolites in intact Ocimum basilicum leaves using reverse iontophoresis in combination with high performance liquid chromatography with mass spectrometry detection. The application of the iontophoresis to plant samples avoids complicated pre-treatments. With this approach, no less than 24 compounds, including organic acids and sugars as well as ATP were successfully detected.

  5. Improved TLC Bioautographic Assay for Qualitative and Quantitative Estimation of Tyrosinase Inhibitors in Natural Products

    Jinge Zhou, Qingjiu Tang, Tao Wu and Zhihong Cheng

    Version of Record online: 28 DEC 2016 | DOI: 10.1002/pca.2666

    The previously reported tyrosinase inhibitory assays based on TLC bioautography suffered from relatively low sensitivity, and the inability to run in a quantitative way. An improved TLC bioautographic assay for detecting tyrosinase inhibitors was developed and validated using L-DOPA as substrates. The quantitative analysis was conducted by densitometric scanning of spot areas, and expressed as the relative tyrosinase inhibitory capacity (RTIC) using a positive control (kojic acid) equivalent. Our improved assay is a relatively low-cost, sensitive, and quantitative method compared to the reported TLC bioautographic assays.