2018
DOI: 10.3390/metabo8040094
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Characterization of Plant Volatiles Reveals Distinct Metabolic Profiles and Pathways among 12 Brassicaceae Vegetables

Abstract: Plants emit characteristic organic volatile compounds (VOCs) with diverse biological/ecological functions. However, the links between plant species/varieties and their phytochemical emission profiles remain elusive. Here, we developed a direct headspace solid-phase microextraction (HS-SPME) technique and combined with non-targeted gas chromatography‒high-resolution mass spectrometry (GC-HRMS) platform to investigate the VOCs profiles of 12 common Brassicaceae vegetables (watercress, rocket, Brussels sprouts, b… Show more

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Cited by 29 publications
(38 citation statements)
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“…The results from our principal component analysis (PCA) analysis of the 12 vegetables studied ( Figure 2 ) agreed well with the results from our previous studies [ 30 , 48 ]. In the present study, we are able to distinguish the same 12 vegetables using PCA, based on the profiles of volatile compounds [ 48 ] and glucosinolates [ 30 ]. For volatile organic compounds, 1490 features were subjected to PCA after cleaning the data of features present in blanks and with too low detection frequencies, with the vegetable samples separated into 12 clusters that correspond to each genus.…”
Section: Discussionsupporting
confidence: 91%
“…The results from our principal component analysis (PCA) analysis of the 12 vegetables studied ( Figure 2 ) agreed well with the results from our previous studies [ 30 , 48 ]. In the present study, we are able to distinguish the same 12 vegetables using PCA, based on the profiles of volatile compounds [ 48 ] and glucosinolates [ 30 ]. For volatile organic compounds, 1490 features were subjected to PCA after cleaning the data of features present in blanks and with too low detection frequencies, with the vegetable samples separated into 12 clusters that correspond to each genus.…”
Section: Discussionsupporting
confidence: 91%
“…There is a higher concentration of AITC in the volatile profile of broccoli and chinensis than in pekinensis, while the concentration of HA is higher in the broccoli profile than in either chinensis or pekinensis [56]. DMDS reduces D. radicum oviposition when released at high concentration in the environment [57] and broccoli emits greater quantities of it compared to pekinensis or chinensis [56]. Together, these differences might explain the oviposition differences found between our three subspecies, however, data are still lacking regarding the variability of VOC profiles among the cultivars we used.…”
Section: Discussionmentioning
confidence: 85%
“…AITC attracts females at low concentrations but becomes repellent at higher ones while HA is never attractive and also becomes repellent at high concentrations [54,55]. There is a higher concentration of AITC in the volatile profile of broccoli and chinensis than in pekinensis, while the concentration of HA is higher in the broccoli profile than in either chinensis or pekinensis [56]. DMDS reduces D. radicum oviposition when released at high concentration in the environment [57] and broccoli emits greater quantities of it compared to pekinensis or chinensis [56].…”
Section: Discussionmentioning
confidence: 95%
“…There are several studies published on VOCs from Brassicaceae vegetables, but these exclusively use the plant myrosinase as the decomposing agent. Usually, the headspace-SPME approach is used [26,27], with some sort of GC-MS detection. The major disadvantages of SPME fibers are ageing of the fiber material, selectivity of the adsorption of volatiles onto the fiber, and possible saturation effects resulting in carry-over.…”
Section: Introductionmentioning
confidence: 99%
“…The major disadvantages of SPME fibers are ageing of the fiber material, selectivity of the adsorption of volatiles onto the fiber, and possible saturation effects resulting in carry-over. Despite these, this technique is widely used for the screening of volatiles due to its sensitivity, but it is rather used in a semi-quantitative fashion, also reflected in the studies [26,27]. For some analytes, however, much higher sensitivity can be obtained using a proper fiber than by injecting headspace air.…”
Section: Introductionmentioning
confidence: 99%