Metabolomic-Based Strategy for Fingerprinting of Sambucus nigra L. Berry Volatile Terpenoids and Norisoprenoids: Influence of Ripening and Cultivar
authors Salvador, AC; Rudnitskaya, A; Silvestre, AJD; Rocha, SM
nationality International
journal JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
author keywords Sambucus nigra; elderberries; metabolite fingerprinting; volatile terpenic and norisoprenoids compounds; cultivar; ripening
keywords 2-DIMENSIONAL GAS-CHROMATOGRAPHY; FLIGHT MASS-SPECTROMETRY; MATRICARIA-RECUTITA L.; OLEO-GUM-RESIN; SESQUITERPENIC COMPOUNDS; SENSORY QUALITY; IN-VITRO; ELDERBERRY; FLOWERS; PROFILE
abstract The integration of plant metabolomics to support preharvest fruit development studies can provide important insights into the biochemical mechanisms involved and lately support producers on harvesting management. A metabolomic-based strategy for fingerprinting of volatile terpenoids and norisoprenoids from Sambucus nigra L. berries from three cultivars, through ripening, was established. From 42 monoterpenic, 20 sesquiterpenic, and 14 norisoprenoid compounds, 48 compounds are reported for the first time as S. nigra berries components. Chemometric tools revealed that ripening was the factor that influenced more the volatile fraction profile and physicochemical parameters (pH, TS, and TSS), followed by cultivar. For the unripe stages, a higher overall content of the studied metabolites was observed, which gradually decreased over the ripening stages, being consistent for the three cultivars. These trends were mainly ruled by limonene, p-cymene, aromadendrene, beta-caryophyllene, and dihydroedulan, which might therefore be used by producers as an additional simple decision making tool in conjunction with physicochemical parameters.
publisher AMER CHEMICAL SOC
issn 0021-8561
year published 2016
volume 64
issue 26
beginning page 5428
ending page 5438
digital object identifier (doi) 10.1021/acs.jafc.6b00984
web of science category Agriculture, Multidisciplinary; Chemistry, Applied; Food Science & Technology
subject category Agriculture; Chemistry; Food Science & Technology
unique article identifier WOS:000379455500017
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journal impact factor (jcr 2016): 3.154
5 year journal impact factor (jcr 2016): 3.504
category normalized journal impact factor percentile (jcr 2016): 89.057
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