Tags

Type your tag names separated by a space and hit enter

Unravelling the Distribution of Secondary Metabolites in Olea europaea L.: Exhaustive Characterization of Eight Olive-Tree Derived Matrices by Complementary Platforms (LC-ESI/APCI-MS and GC-APCI-MS).
Molecules. 2018 Sep 20; 23(10)M

Abstract

In order to understand the distribution of the main secondary metabolites found in Olea europaea L., eight different samples (olive leaf, stem, seed, fruit skin and pulp, as well as virgin olive oil, olive oil obtained from stoned and dehydrated fruits and olive seed oil) coming from a Picudo cv. olive tree were analyzed. All the experimental conditions were selected so as to assure the maximum coverage of the metabolome of the samples under study within a single run. The use of LC and GC with high resolution MS (through different ionization sources, ESI and APCI) and the annotation strategies within MetaboScape 3.0 software allowed the identification of around 150 compounds in the profiles, showing great complementarity between the evaluated methodologies. The identified metabolites belonged to different chemical classes: triterpenic acids and dialcohols, tocopherols, sterols, free fatty acids, and several sub-types of phenolic compounds. The suitability of each platform and polarity (negative and positive) to determine each family of metabolites was evaluated in-depth, finding, for instance, that LC-ESI-MS (+) was the most efficient choice to ionize phenolic acids, secoiridoids, flavonoids and lignans and LC-APCI-MS was very appropriate for pentacyclic triterpenic acids (MS (-)) and sterols and tocopherols (MS (+)). Afterwards, a semi-quantitative comparison of the selected matrices was carried out, establishing their typical features (e.g., fruit skin was pointed out as the matrix with the highest relative amounts of phenolic acids, triterpenic compounds and hydroxylated fatty acids, and seed oil was distinctive for its high relative levels of acetoxypinoresinol and tocopherols).

Links

PMC Free PDF

Authors+Show Affiliations

Olmo-García L
Department of Analytical Chemistry, Faculty of Science, University of Granada, Ave. Fuentenueva s/n, 18071 Granada, Spain. luciaolmo@ugr.es.
Kessler N
Bruker Daltonik GmbH, Fahrenheitstraβe 4, 28359 Bremen, Germany. Nikolas.Kessler@bruker.com.
Neuweger H
Bruker Daltonik GmbH, Fahrenheitstraβe 4, 28359 Bremen, Germany. Heiko.Neuweger@bruker.com.
Wendt K
Bruker Daltonik GmbH, Fahrenheitstraβe 4, 28359 Bremen, Germany. Karin.Wendt@bruker.com.
Olmo-Peinado JM
Acer Campestres S.L. Almendro, 37 (Pol. Ind. El Cerezo), Castillo de Locubín, 23670 Jaén, Spain. j.olmo@elayo.com.
Fernández-Gutiérrez A
Department of Analytical Chemistry, Faculty of Science, University of Granada, Ave. Fuentenueva s/n, 18071 Granada, Spain. albertof@ugr.es.
Baessmann C
Bruker Daltonik GmbH, Fahrenheitstraβe 4, 28359 Bremen, Germany. Carsten.Baessmann@bruker.com.
Carrasco-Pancorbo A
Department of Analytical Chemistry, Faculty of Science, University of Granada, Ave. Fuentenueva s/n, 18071 Granada, Spain. alegriac@ugr.es.

MeSH

Chromatography, High Pressure LiquidChromatography, LiquidFlavonoidsFruitGas Chromatography-Mass SpectrometryIridoidsLignansMetabolomeOleaOlive OilPhenolsPhytosterolsSecondary MetabolismSpectrometry, Mass, Electrospray IonizationTandem Mass Spectrometry

Pub Type(s)

Journal Article

Language

eng

PubMed ID

30241383

Citation

Olmo-García, Lucía, et al. "Unravelling the Distribution of Secondary Metabolites in Olea Europaea L.: Exhaustive Characterization of Eight Olive-Tree Derived Matrices By Complementary Platforms (LC-ESI/APCI-MS and GC-APCI-MS)." Molecules (Basel, Switzerland), vol. 23, no. 10, 2018.
Olmo-García L, Kessler N, Neuweger H, et al. Unravelling the Distribution of Secondary Metabolites in Olea europaea L.: Exhaustive Characterization of Eight Olive-Tree Derived Matrices by Complementary Platforms (LC-ESI/APCI-MS and GC-APCI-MS). Molecules. 2018;23(10).
Olmo-García, L., Kessler, N., Neuweger, H., Wendt, K., Olmo-Peinado, J. M., Fernández-Gutiérrez, A., Baessmann, C., & Carrasco-Pancorbo, A. (2018). Unravelling the Distribution of Secondary Metabolites in Olea europaea L.: Exhaustive Characterization of Eight Olive-Tree Derived Matrices by Complementary Platforms (LC-ESI/APCI-MS and GC-APCI-MS). Molecules (Basel, Switzerland), 23(10). https://doi.org/10.3390/molecules23102419
Olmo-García L, et al. Unravelling the Distribution of Secondary Metabolites in Olea Europaea L.: Exhaustive Characterization of Eight Olive-Tree Derived Matrices By Complementary Platforms (LC-ESI/APCI-MS and GC-APCI-MS). Molecules. 2018 Sep 20;23(10) PubMed PMID: 30241383.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Unravelling the Distribution of Secondary Metabolites in Olea europaea L.: Exhaustive Characterization of Eight Olive-Tree Derived Matrices by Complementary Platforms (LC-ESI/APCI-MS and GC-APCI-MS). AU - Olmo-García,Lucía, AU - Kessler,Nikolas, AU - Neuweger,Heiko, AU - Wendt,Karin, AU - Olmo-Peinado,José María, AU - Fernández-Gutiérrez,Alberto, AU - Baessmann,Carsten, AU - Carrasco-Pancorbo,Alegría, Y1 - 2018/09/20/ PY - 2018/08/16/received PY - 2018/09/12/revised PY - 2018/09/19/accepted PY - 2018/9/23/entrez PY - 2018/9/23/pubmed PY - 2018/12/12/medline KW - Olea europaea L. KW - gas chromatography KW - liquid chromatography KW - mass spectrometry KW - secondary metabolites JF - Molecules (Basel, Switzerland) JO - Molecules VL - 23 IS - 10 N2 - In order to understand the distribution of the main secondary metabolites found in Olea europaea L., eight different samples (olive leaf, stem, seed, fruit skin and pulp, as well as virgin olive oil, olive oil obtained from stoned and dehydrated fruits and olive seed oil) coming from a Picudo cv. olive tree were analyzed. All the experimental conditions were selected so as to assure the maximum coverage of the metabolome of the samples under study within a single run. The use of LC and GC with high resolution MS (through different ionization sources, ESI and APCI) and the annotation strategies within MetaboScape 3.0 software allowed the identification of around 150 compounds in the profiles, showing great complementarity between the evaluated methodologies. The identified metabolites belonged to different chemical classes: triterpenic acids and dialcohols, tocopherols, sterols, free fatty acids, and several sub-types of phenolic compounds. The suitability of each platform and polarity (negative and positive) to determine each family of metabolites was evaluated in-depth, finding, for instance, that LC-ESI-MS (+) was the most efficient choice to ionize phenolic acids, secoiridoids, flavonoids and lignans and LC-APCI-MS was very appropriate for pentacyclic triterpenic acids (MS (-)) and sterols and tocopherols (MS (+)). Afterwards, a semi-quantitative comparison of the selected matrices was carried out, establishing their typical features (e.g., fruit skin was pointed out as the matrix with the highest relative amounts of phenolic acids, triterpenic compounds and hydroxylated fatty acids, and seed oil was distinctive for its high relative levels of acetoxypinoresinol and tocopherols). SN - 1420-3049 UR - https://www.unboundmedicine.com/medline/citation/30241383/Unravelling_the_Distribution_of_Secondary_Metabolites_in_Olea_europaea_L_:_Exhaustive_Characterization_of_Eight_Olive_Tree_Derived_Matrices_by_Complementary_Platforms__LC_ESI/APCI_MS_and_GC_APCI_MS__ DB - PRIME DP - Unbound Medicine ER -