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48 results for “Monoterpene”

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zenodo32/100

Fig. 1 in Leaf isoprene and monoterpene emission distribution across hyperdominant tree genera in the Amazon basin

Fig. 1. Images of the coupled leaf portable photosynthesis (Li6400XT) and volatile emission autosampler (Less-P) system developed in this study for the combined analysis of net photosynthesis and volatile isoprenoid emissions at remote field site locations in the Amazon forest.

opennotspecifiedJul 2020View details →
zenodo32/100

Fig. 4 in Leaf isoprene and monoterpene emission distribution across hyperdominant tree genera in the Amazon basin

Fig. 4. Maximum leaf isoprenoid emissions from the light response curve data showing (a) maximum isoprenoid emissions for species where emissions were detected and (b) a histogram representing the distribution of maximum leaf isoprenoid emissions.

opennotspecifiedJul 2020View details →
ClinicalTrials.gov32/100

Absorption and Bioavailability of Major Monoterpenes in Mastiha Oil; a Kinetic Study in Humans.

ClinicalTrials.gov study NCT04290312. IPD Sharing: NO. Countries: 1. Publications: 8.

closedIPD-NOFeb 2026View details →
dryad32/100

Functional investigation of monoterpenes for improved understanding of the relationship between hosts and bark beetle

Open the record for dataset details and reuse information.

publicNov 2020View details →
dryad32/100

Data from: Diversification of the monoterpene synthase gene family (TPSb) in Protium, a highly diverse genus of tropical trees

Open the record for dataset details and reuse information.

publicMay 2013View details →
dryad32/100

Supporting Data for Relative Humidity Effect on the Formation of Highly Oxidized Molecules and New Particles during Monoterpene Oxidation

Open the record for dataset details and reuse information.

publicJan 2019View details →
dryad32/100

Supporting data for: Observations of gas-phase products from the nitrate radical-initiated oxidation of four monoterpenes

Open the record for dataset details and reuse information.

publicJun 2022View details →
dryad28/100

Data from: PbbHLH4 regulates floral monoterpene biosynthesis in Phalaenopsis orchids

Floral scent is an important factor in attracting pollinators and repelling florivores. In Phalaenopsis bellina (Orchidaceae), the major floral scent components are monoterpenoids. Previously, we have identified that expression of GERANYL DIPHOSPHATE SYNTHASE (PbGDPS) is highly correlated with monoterpene biosynthesis in Phalaenosis orchids. Here, we showed that both cis- and trans-regulation were present on the GDPS promoters, with trans-regulation playing a key role. To investigate the regulation of floral scent biosynthesis, we compared the transcriptomic data of two Phalaenopsis orchids with contrasting scent phenotypes. Eight transcription factors (TFs) with sequential elevation expressions through floral development stages in P. bellina were identified, and their transcript levels were higher in the scent orchid than the scentless one. Five of these TFs transactivated several structural genes involved in monoterpene biosynthesis pathway to various extent, including PbbHLH4, PbbHLH6, PbbZIP4, PbERF1, and PbNAC1. Ectopic transient expression of these TFs in scentless orchids revealed that terpenoid biosynthesis was all stimulated. PbbHLH4 most profoundly induced the monoterpene phenotype with a 950-fold increase of monoterpenoid production in the scentless orchid. In conclusion, the orchid floral monoterpenes biosynthesis was regulated sequentially and elaborately, and with PbbHLH4 playing a crucial role for monoterpene phenotype.

opencc-zeroDec 2017View details →
dryad28/100

Data from: Membrane-assisted extraction of monoterpenes: from in-silico solvent screening towards biotechnological process application

This work focuses on the process development of membrane-assisted solvent extraction of hydrophobic compounds such as monoterpenes. Beginning with the choice of suitable solvents, quantum chemical calculations with the simulation tool COSMO-RS were carried out to predict the partition coefficient (logP) of (S)-(+)-carvone and terpinen-4-ol in various solvent-water systems and validated afterwards with experimental data. COSMO-RS results show good prediction accuracy for nonpolar solvents like n-hexane, ethyl acetate and n-heptane even in the presence of salts and glycerol in aqueous medium. Based on the high logP value, n-heptane was chosen for the extraction of (S)-(+)-carvone in a lab-scale hollow-fiber membrane contactor. Two operation modes are investigated where experimental and theoretical mass transfer values, based on their related partition coefficients were compared. In addition, the process is evaluated in terms of extraction efficiency and overall product recovery, and its biotechnological application potential discussed. Our work demonstrates that the combination of in-silico prediction by COSMO-RS with membrane-assisted extraction is a promising approach for the recovery of hydrophobic compounds from aqueous solutions.

opencc-zeroDec 2017View details →
zenodo28/100

Electric-Field Catalysis on Carbon Nanotubes in Electromicrofluidic Reactors: Monoterpene Cyclizations: Original Data

<p>Original data underlying the publication. Data are assembled according to the supporting information.</p>

opencc-by-4.0Oct 2024View details →
zenodo28/100

Fig. 1 in Monoterpene indole alkaloids from Vinca minor L. (Apocynaceae): Identification of new structural scaffold for treatment of Alzheimer's disease

Fig. 1. Chemical structures of isolated alkaloids from aerial parts of Vinca minor.

opennotspecifiedFeb 2022View details →
zenodo28/100

Fig. 3 in Acylphloroglucinol-monoterpene meroterpenoids from Eucalyptus tereticornis and their inhibitory activity against ATP citrate lyase

Fig. 3. Key NOESY correlations of 1 and 2.

opennotspecifiedMar 2023View details →
zenodo28/100

Fig. 2. Key 1H–1H in Acylphloroglucinol-monoterpene meroterpenoids from Eucalyptus tereticornis and their inhibitory activity against ATP citrate lyase

Fig. 2. Key 1H–1H COSY and HMBC correlations of 1–5.

opennotspecifiedMar 2023View details →
zenodo28/100

Fig. 2. 1H–1H in Monoterpene indole alkaloids with diverse skeletons from the stems of Rauvolfia vomitoria and their acetylcholinesterase inhibitory activities

Fig. 2. 1H–1H COSY, key HMBC correlations of 1, 4, and 9.

opennotspecifiedSep 2020View details →
zenodo28/100

Fig. 6 in Monoterpene indole alkaloids with diverse skeletons from the stems of Rauvolfia vomitoria and their acetylcholinesterase inhibitory activities

Fig. 6. ORTEP drawing of compound 4.

opennotspecifiedSep 2020View details →
zenodo28/100

Fig. 5 in Monoterpene indole alkaloids with diverse skeletons from the stems of Rauvolfia vomitoria and their acetylcholinesterase inhibitory activities

Fig. 5. Comparison of the experimental and calculated ECD spectra of 3.

opennotspecifiedSep 2020View details →
zenodo28/100

Fig. 8. Plausible biogenetic pathway for rauvomitorine A in Monoterpene indole alkaloids with diverse skeletons from the stems of Rauvolfia vomitoria and their acetylcholinesterase inhibitory activities

Fig. 8. Plausible biogenetic pathway for rauvomitorine A (1).

opennotspecifiedSep 2020View details →
zenodo28/100

Fig. 4 in Monoterpene indole alkaloids with diverse skeletons from the stems of Rauvolfia vomitoria and their acetylcholinesterase inhibitory activities

Fig. 4. Comparison of the experimental ECD spectra of 1 and 18 in MeOH.

opennotspecifiedSep 2020View details →
zenodo28/100

Fig. 3 in Monoterpene indole alkaloids with diverse skeletons from the stems of Rauvolfia vomitoria and their acetylcholinesterase inhibitory activities

Fig. 3. Key NOESY correlations of 1, 4, and 9.

opennotspecifiedSep 2020View details →
zenodo28/100

Fig. 1 in Monoterpene indole alkaloids with diverse skeletons from the stems of Rauvolfia vomitoria and their acetylcholinesterase inhibitory activities

Fig. 1. Chemical structures of MIAs 1−20.

opennotspecifiedSep 2020View details →

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