Downloads provided by UsageCounts
handle: 10261/193709
Recently, the high analytical power provided by the new HRMS instruments (working in the MS or MS/MS mode, stand alone or hyphenated with separation techniques) is making more feasible the characterization of plant secondary metabolites. In this regard, HRMS-based techniques are becoming the technique of choice, since they are capable of answering many questions regarding the analytical characterization of secondary metabolites, usually found in very complex matrices, including their structural elucidation and quantification in a very fast and sensitive way. In this manuscript we will provide a critical and updated revision of this topic covering the works published in the last 4 years (2015–2018), including the different configurations in which HRMS may be used (stand alone or hyphenated), the data treatment, the strategies for the identification of unknown metabolites, the current software for structure elucidation, as well as the last trends and future outlooks in this hot area of research.
This research was supported by COOPA20145, project from CSIC (Programa de Cooperación Científica para el Desarrollo “i-COOP+"). G.A.-R. would like to acknowledge the Ministry of Economy and Competitiveness for a “Juan de la Cierva” postdoctoral grant. The authors also thank the support from the AGL2017-89417-R project.
Peer reviewed
Secondary metabolites, TOF, Hyphenated techniques, High resolution mass spectrometry
Secondary metabolites, TOF, Hyphenated techniques, High resolution mass spectrometry
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 132 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
| views | 44 | |
| downloads | 439 |

Views provided by UsageCounts
Downloads provided by UsageCounts