Replication Data for: Advancing Quantification methods for Polyphenols in Brown Seaweeds - applying a Selective qNMR Method compared with the TPC Assay (doi:10.18710/VZHSWT)

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Replication Data for: Advancing Quantification methods for Polyphenols in Brown Seaweeds - applying a Selective qNMR Method compared with the TPC Assay

doi:10.18710/VZHSWT

DataverseNO

2022-07-12

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Wekre, Marie Emilie; Jordheim, Monica; Brunvoll, Sondre Hellesen, 2022, "Replication Data for: Advancing Quantification methods for Polyphenols in Brown Seaweeds - applying a Selective qNMR Method compared with the TPC Assay", https://doi.org/10.18710/VZHSWT, DataverseNO, V1

Replication Data for: Advancing Quantification methods for Polyphenols in Brown Seaweeds - applying a Selective qNMR Method compared with the TPC Assay

doi:10.18710/VZHSWT

Wekre, Marie Emilie (Alginor ASA, University of Bergen)

Jordheim, Monica (University of Bergen)

Brunvoll, Sondre Hellesen (University of Bergen)

Wekre, Marie Emilie

Brunvoll, Sondre Hellesen

Jordheim, Monica

Alginor ASA

University of Bergen

Topspin

MestReNova

NFR297507

DataverseNO

University of Bergen

Jordheim, Monica

Wekre, Marie Emilie

2021-11-25

2022-07-07

https://doi.org/10.18710/VZHSWT

Chemistry, Total Phenolic Content, qNMR, Polyphenols, Laminaria hyperborea, Laminaria digitata, Fucus vesiculosus, Saccharina latissima, Ascophyllum nodosum, Quantification, TPC

These data belong to the comprehensive study of polyphenols in Laminaria hyperborea, Laminaria digitata, Saccharina latissima, Ascophyllum nodosum and Fucus vesiculosus performed in relation with the publication titled: "Advancing Quantification methods for Polyphenols in Brown Seaweeds - applying a Selective qNMR Method compared with the TPC Assay". The dataset contains 22 files, describing the quantitative content of polyphenols in the brown seaweeds Laminaria hyperborea, Laminaria digitata, Saccharina latissima, Ascophyllum nodosum and Fucus vesiculosus. The quantitative content was determined by Optimized Total Phenolic Content (TPC) assay and quantitative NMR (qNMR).

Publication abstract: Polyphenols are important components of seaweeds contributing to their potential use in food-, feed- and health applications. In this study, optimized methods of the Folin-Ciocalteu total phenolic content assay (TPC) and selective quantitative 1H NMR (qNMR), including 13C NMR characterization, were compared for selected brown seaweeds from sublittoral to intertidal zone (Laminaria hyperborea, Laminaria digitata, and Fucus vesiculosus). TPC and selective qNMR resulted in comparable quantities for the sublittoral growing Laminariaceae, with lower polyphenolic content (TPC: 0.6–0.7%; qNMR: 0.7–0.8%, GAE, DW). F. vesiculosus, found in more shallow waters with a higher polyphenolic production, yields a TPC quantification more than double the qNMR quantification (TPC: 3.7%; qNMR: 1.5% GAE, DW). This difference most likely reflects the lack of sensitivity in the TPC assay concerning species with interfering compounds and/or a higher polyphenolic content, and conceivably also a higher diversity of polyphenols (> 1 % of biomass). From the 13C NMR characterization, L. hyperborea, L. digitata, and F. vesiculosus all showed a larger proportion of phlorethol-like phlorotannins compared to fucol-type phlorotannins.

2019-08-01-2022-03-01

Norway, Norway, Norway, Australia, Norway

Vestland, Trollsøy, Bergen, Rogaland, Haugesund, Rogaland Field 55E, Vestland, Storåkervika, Bergen, Melbourne, Victoria, Vestland, Bergen, Eidsvåg

Quantitative data

Experimental data

Wekre, ME, Hellesen Brunvoll, S, Jordheim, M. Advancing quantification methods for polyphenols in brown seaweeds—applying a selective qNMR method compared with the TPC assay. Phytochemical Analysis. 2022; 1- 12. doi:10.1002/pca.3162

10.1002/pca.3162

Wekre, ME, Hellesen Brunvoll, S, Jordheim, M. Advancing quantification methods for polyphenols in brown seaweeds—applying a selective qNMR method compared with the TPC assay. Phytochemical Analysis. 2022; 1- 12. doi:10.1002/pca.3162

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A.Nodosum_S17_qNMR_calculations.txt

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This data set presents quantification data from qNMR for Ascophyllym nodosum harvested in September 2017.

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A.Nodosum_S17_qNMR_rawdata.txt

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This dataset contains the raw data used for quantification of Ascophyllym nodosum harvested in September 2017.

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F.vesiculosus_qNMR_calculations.txt

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This data set presents quantification data from qNMR for Fucus vesiculosus.

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F.vesiculosus_qNMR_rawdata.txt

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This dataset contains the raw data used for quantification of Fucus vesiculosus.

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L.digitata_qNMR_calculations.txt

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This data set presents quantification data from qNMR for Laminaria digitata.

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L.digitata_qNMR_rawdata.txt

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This dataset contains the raw data used for quantification of Laminaria digitata.

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L.hyperborea_A21_qNMR_calculations.txt

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This data set presents quantification data from qNMR for Laminaria hyperborea harvested in August 2021.

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L.hyperborea_A21_qNMR_rawdata.txt

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This dataset contains the raw data used for quantification of Laminaria hyperborea harvested in August 2021.

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L.hyperborea_M20_qNMR_calculations.txt

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This data set presents quantification data from qNMR for Laminaria hyperborea harvested in March 2020.

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L.hyperborea_M20_qNMR_rawdata.txt

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This dataset contains the raw data used for quantification of Laminaria hyperborea harvested in March 2020.

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L.hyperborea_S20_qNMR_calculations.txt

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This data set presents quantification data from qNMR for Laminaria hyperborea harvested in September 2020.

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L.hyperborea_S20_qNMR_rawdata.txt

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This dataset contains the raw data used for quantification of Laminaria hyperborea harvested in September 2020.

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L.Saccharina_qNMR_calculations.txt

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This data set presents quantification data from qNMR for Fucus vesiculosus.

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L.Saccharina_qNMR_rawdata.txt

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This dataset contains the raw data used for quantification of Laminaria saccharina.

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qNMR_standardvalidation.txt

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This dataset describes the quantification of two standards, gallic acid and phloroglucinol, to validate the qNMR method.

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README.txt

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Readme file describing datasets.

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TPC_gallicacid_calculations.txt

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Contains the quantifications of all extracts using TPC with the gallic acid calibration curve.

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TPC_gallicacid_calibrationcurve.txt

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Dataset describing raw data for the calibration curve of gallic acid used in TPC quantifications. Also describing the dry weights of the extracts used for calculation.

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TPC_phloroglucinol_calculations.txt

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Contains the quantifications of all extracts using TPC with the phloroglucinol calibration curve.

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TPC_phloroglucinol_calibrationcurve.txt

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Dataset describing raw data for the calibration curve of phloroglucinol used in TPC quantifications. Also describing the dry weights of the extracts used for calculation.

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