Analysis of volatile terpenoid compounds in Rhododendron species by multidimensional gas chromatography with quadrupole time-of-flight mass spectrometry

Qian, Chenyu; Quan, Wenxuan; Li, Chaochan; Xiang, Zhangmin

doi:10.1016/j.microc.2019.104064

Cited by 15 publications

(12 citation statements)

References 30 publications

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“…Flowers were collected and placed in sealed plastic bags, then immediately transported in a cooler with ice to the laboratory. Subsequently, the obtained samples were smashed after being frozen in a vacuum freeze-dryer for a week at −70 °C (FD-1C-80; Boyikang, Beijing, China), then transferred into 50 mL vials [15]. All samples were stored in a freezer at a temperature below −20 °C until analysis.…”

Section: Methodsmentioning

confidence: 99%

“…In order to investigate the aroma characteristics of Rhododendron flowers, it is important to research specific volatile constituents as thoroughly as possible. Rhododendron irroratum , R. delavayi , R. annae , and R. agastum are ecologically and horticulturally important alpine flowers and are also the pioneer and constructive species in Baili Rhododendron National Forest Reserve in the Guizhou province of China [15]. R. delavayi belongs to the subsection Arborea, while R. irroratum , R. annae , and R. agastum belong to the subsection Irrorata.…”

Section: Introductionmentioning

confidence: 99%

“…With the 1DGC technique, 9,12,15-octadecatrienoic acid,[Z,Z,Z]-, phytol, and n -hexadecanoic acid were found to be the major compounds in flowers of R. mucronatum and R. simii [27]; while R. ponticum comprises mostly α-pinene, β-pinene, and linalool [28], in flowers of R. schlippenbachii , only 39 hydrophilic compounds could be detected by 1DGC [29]. A previous study reported the volatile compounds in the leaves, stems, and roots of six Rhododendron species [15]. However, the volatile components in flowers of the four Rhododendron species in the present study have never been investigated by the GC×GC approach before.…”

Section: Introductionmentioning

confidence: 99%

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Characterization of Volatile Compounds in Four Different Rhododendron Flowers by GC×GC-QTOFMS

et al. 2019

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Volatile compounds in flowers of Rhododendron delavayi, R. agastum, R. annae, and R. irroratum were analyzed using comprehensive two-dimensional gas chromatography-mass spectrometry (GC×GC) coupled with high-resolution quadrupole time-of-flight mass spectrometry (QTOFMS). A significantly increased number of compounds was separated by GC×GC compared to conventional one-dimensional GC (1DGC), allowing more comprehensive understanding of the volatile composition of Rhododendron flowers. In total, 129 volatile compounds were detected and quantified. Among them, hexanal, limonene, benzeneacetaldehyde, 2-nonen-1-ol, phenylethyl alcohol, citronellal, isopulegol, 3,5-dimethoxytoluene, and pyridine are the main compounds with different content levels in all flower samples. 1,2,3-trimethoxy-5-methyl-benzene exhibits significantly higher content in R. irroratum compared to in the other three species, while isopulegol is only found in R. irroratum and R. agastum.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Characterization of Volatile Compounds in Four Different Rhododendron Flowers by GC×GC-QTOFMS

et al. 2019

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“…HS-SPME has routinely been used as an analytical technique for food and plant material [ 7 , 8 , 9 ]. For example, the analysis of volatile compounds of six Rhododendron species was accomplished using a HS-SPME technique coupled with GC/Q-ToF-MS [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

Development of a GC/Q-ToF-MS Method Coupled with Headspace Solid-Phase Microextraction to Evaluate the In Vitro Metabolism of β-Caryophyllene

et al. 2022

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Sample preparation remains both a challenging and time-consuming process in the field of bioanalytical chemistry. Many traditional techniques often require multi-step processes, which can introduce additional errors to the analytical method. Given the complexity of many biological matrices, thorough analyte extraction presents a major challenge to researchers. In the present study, a headspace solid-phase microextraction (HS-SPME) coupled with a GC/Q-ToF-MS method, was developed to quantify in vitro metabolism of β-caryophyllene by both human liver microsome (HLM) and S9 liver fractions. Validation of the method was demonstrated both in terms of linearity (R2 = 0.9948) and sensitivity with a limit of detection of 3 ng/mL and a limit of quantitation of 10 ng/mL. In addition, the method also demonstrated both inter- and intra-day precision with the relative standard deviation (RSD) being less than 10% with four concentrations ranging from 50–500 ng/mL. Since this method requires no solvents and minimal sample preparation, it provides a rapid and economical alternative to traditional extraction techniques. The method also eliminates the need to remove salts or buffers, which are commonly present in biological matrices. Although this method was developed to quantify in vitro metabolism of one analyte, it could easily be adapted to detect or quantify numerous volatiles and/or semi-volatiles found in biological matrices.

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“…7 In the same way, volatile compounds were iden-tied by mass spectral matching with National Institute of Standards Technology (NIST) and conrmed by RI values. [8][9][10] Some libraries cover the RI information of diverse stationary phases for a huge amount of registered compounds. In some cases, compounds are not registered in chemical libraries.…”

Section: Introductionmentioning

confidence: 99%

Prediction of flavor and retention index for compounds in beer depending on molecular structure using a machine learning method

Wang

Zhaoxia²,

Piao

et al. 2021

RSC Adv.

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Analysis of volatile terpenoid compounds in Rhododendron species by multidimensional gas chromatography with quadrupole time-of-flight mass spectrometry

Cited by 15 publications

References 30 publications

Characterization of Volatile Compounds in Four Different Rhododendron Flowers by GC×GC-QTOFMS

Characterization of Volatile Compounds in Four Different Rhododendron Flowers by GC×GC-QTOFMS

Development of a GC/Q-ToF-MS Method Coupled with Headspace Solid-Phase Microextraction to Evaluate the In Vitro Metabolism of β-Caryophyllene

Prediction of flavor and retention index for compounds in beer depending on molecular structure using a machine learning method

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