2018
DOI: 10.1021/acs.energyfuels.8b02059
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Isolation and Identification of Six Difunctional Ethyl Esters from Bio-oil and Their Special Mass Spectral Fragmentation Pathways

Abstract: Three difunctional ethyl esters (DFEEs), including ethyl 16-hydroxyhexadecanoate, ethyl (Z)-18-hydroxyoctadec-9-enoate, and diethyl (Z)-octadec-9-ene-1,18-dioate, were isolated as nearly pure compounds from sawdust-derived bio-oil. Their structures were tentatively identified by gas chromatography/mass spectrometry (GC/MS) and high-resolution mass spectrometry (HR-MS). Combination transesterification reaction of DFEEs to difunctional methyl esters (DFMEs) and determination of the GC/MS retention time differenc… Show more

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“…The structural information about individual compounds can also be obtained from MS/MS experiments. Unfortunately, the complexity of the sample does not allow the isolation of individual m / z , and only few experiments with the use of MS/MS to study complex natural mixtures have been reported. Unfortunately, even if the MS/MS spectrum of the single m / z is obtained, it is not possible to accurately identify the compound, because the size of databases of collision induced dissociation spectra (MzCloud (), Metlin , ) is insufficient (∼25 000 compounds). However, in silico fragmentation software such as MetFrag (uses iterative bond cleavage), CFM-ID, , and SIRIUS 4, , which integrates CSI:FingerID (uses the fragmentation tree), can be used to determine the most likely compounds.…”
Section: Introductionmentioning
confidence: 99%
“…The structural information about individual compounds can also be obtained from MS/MS experiments. Unfortunately, the complexity of the sample does not allow the isolation of individual m / z , and only few experiments with the use of MS/MS to study complex natural mixtures have been reported. Unfortunately, even if the MS/MS spectrum of the single m / z is obtained, it is not possible to accurately identify the compound, because the size of databases of collision induced dissociation spectra (MzCloud (), Metlin , ) is insufficient (∼25 000 compounds). However, in silico fragmentation software such as MetFrag (uses iterative bond cleavage), CFM-ID, , and SIRIUS 4, , which integrates CSI:FingerID (uses the fragmentation tree), can be used to determine the most likely compounds.…”
Section: Introductionmentioning
confidence: 99%
“…E 65 was recrystallized and washed with methanol to offer a nearly pure fraction 1 (F 1 ). F 1 was analyzed with GC/ MS, 20 FTIR, 1 H and 13 C NMR, distortionless enhancement by polarization transfer with a proton pulse angle at 135°NMR (DEPT-135), and 2D NMR, including 1 H− 1 H correlation spectroscopy (COSY), heteronuclear single-quantum correlation (HSQC), and heteronuclear multiple-bond correlation (HMBC).…”
mentioning
confidence: 99%