Chemical Diversity between Three Graminoid Plants Found in Western Kenya Analyzed by Headspace Solid-Phase Microextraction Gas Chromatography–Mass Spectrometry (HS-SPME-GC-MS)

Svenberg, Linus; Emmer, Åsa

doi:10.3390/plants10112423

Cited by 3 publications

(3 citation statements)

References 31 publications

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“…A large number of plants own distinctive odors. Analyzing these odors is expected to reveal unique biomarkers for species identification and provide important data for economic valuation. − HS-SPME is an excellent candidate for odor enrichment, and the mixed fibers including DVB/CAR/PDMS, CAR/PDMS, and PDMS/DVB are preferred due to the synergetic effects of absorbents and adsorbents. − It is worth mentioning that the hybrid composites of silica aerogel, preyssler-type polyoxometalate, and MIL-101(Cr) have been fabricated as a highly porous fiber coating, which has been successfully used for the headspace extraction and identification of Ferulago angulata volatile components. Exerting a magnetic field on the prepared SPME fiber using a permanent magnet substantially improves the extraction efficiency for the volatile components, to an average of 73% …”

Section: Spme In Biological Analysismentioning

confidence: 99%

Latest Improvements and Expanding Applications of Solid-Phase Microextraction

et al. 2023

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Section: Spme In Biological Analysismentioning

confidence: 99%

Latest Improvements and Expanding Applications of Solid-Phase Microextraction

et al. 2023

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“…Bamboo leaves collected from the above sample sites were cut and mixed well, weighed to 2 g each, and placed in a 20 mL headspace extraction vial, which was sealed and allowed to stand for 30 min. Detection was performed by headspace solid-phase microextraction-gas chromatography (SPME) [42]. Then, the SPME syringe was inserted into the vial, and the fiber tip (model 50/30 µm DVB/CAR/PDMS (Supelco, Bellefonte, PA, USA)) was pushed out of the syringe.…”

Section: Instrumentation and Calculationmentioning

confidence: 99%

Seasonal Variation in the Thermal Environment and Health-Related Factors in Two Clustered Recreational Bamboo Forests

Tang,

Yang,

Jiang

et al. 2023

Forests

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Forest thermal environments and health-related factors have a significant impact on user experience and physical benefits. Therefore, it is important to study changes in the thermal environment and health-related factors in recreational forests. Clustered bamboo forests have unique structures featuring high canopy density and extensive understory spaces suitable for recreational activities. However, there is no relevant report on the recreational use of these forests. This study investigated seasonal characteristics in the thermal comfort and health-related factors in two clustered bamboo forests in Southwest China. Microenvironmental parameters and health-related factors (negative air oxygen ions (NAI), airborne particulate matter, airborne microorganisms, and biogenic volatile organic compounds (BVOCs)) were measured in four seasons. The microenvironmental parameters were converted into a physiological equivalent temperature (PET) for each period. The results showed that (1) most of the time, the thermal comfort, air particle, NAI, and bacteria concentrations in the two bamboo forests were superior to the controls and met the standard for recreational activities; (2) thermal comfort environments and health-related factors levels varied between two bamboo forests; and (3) the most abundant compounds in the two bamboo forests in each season were leaf alcohol and 2-hexenal. The two clustered bamboo forests provided a comfortable thermal environment and had clean air and bactericidal abilities in all seasons. The forests emitted BVOCs with fresh grass and leaf fragrances, helping to alleviate the sense of depression among visitors. The results confirm that clustered bamboo forests can provide suitable recreational conditions. The results can be used to guide the management of recreational forests and provide support for the development of bamboo forests.

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“…W.Watson [27] or Cynodon dactylon (L.) Pers. and Panicum repens L. [28]. There are also studies of fungi [29] and ozone [30] impact on volatile fraction of barley.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous component analysis as an interesting preliminary data analysis method in GC-MS – An example of headspace screening of Polish grasses

Wróbel-Szkolak

Cwener

Pietraś

et al. 2024

AChrom

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Abstract70 species of grasses family (Poaceae), coming from genera: Agrostis, Alopecurus, Anthoxanthum, Apera, Arrhenatherum, Avena, Brachypodium, Briza, Bromus, Calamagrostis, Corynephorus, Cynosurus, Dactylis, Danthonia, Deschampsia, Digitaria, Echinochloa, Elymus, Eragrostis, Festuca, Glyceria, Helictotrichon, Hierochloe, Holcus, Hordeum, Koeleria, Leymus, Lolium, Milium, Molinia, Nardus, Panicum, Phalaris, Phleum, Phragmites, Poa, Saccharum and Setaria, collected mostly from natural stands in Poland during 2020 season, were subjected to GC-MS fingerprinting of headspace volatile fraction above dried material. Obtained mass spectrometry data were analyzed by means of principal component analysis (PCA) and hierarchical cluster analysis (HCA). Five species: Glyceria maxima (Hartm.) Holmb., Lolium multiflorum Lam., Hordeum jubatum L., Bromus tectorum L. and Bromus secalinus L. were identified as outliers, which is consistent with our earlier analysis by thin layer chromatography. These species deserve further look and their outliance is orthogonal to coumarin content, which was independently observed for odorant species of grasses.

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Chemical Diversity between Three Graminoid Plants Found in Western Kenya Analyzed by Headspace Solid-Phase Microextraction Gas Chromatography–Mass Spectrometry (HS-SPME-GC-MS)

Cited by 3 publications

References 31 publications

Latest Improvements and Expanding Applications of Solid-Phase Microextraction

Latest Improvements and Expanding Applications of Solid-Phase Microextraction

Seasonal Variation in the Thermal Environment and Health-Related Factors in Two Clustered Recreational Bamboo Forests

Simultaneous component analysis as an interesting preliminary data analysis method in GC-MS – An example of headspace screening of Polish grasses

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