Optimization of headspace sampling using solid-phase microextraction for volatile components in tobacco

Yang, Shao; Cong, Huan; Smetena, I.

doi:10.1016/s0021-9673(01)01376-0

Cited by 45 publications

(17 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…for SPME. Previous reports have shown that the efficacy of SPME is highly associated with the concentration and structural properties of metabolites in the vapor phase [7,15]. In our experiments, we tested five types of SPME fibers, which were100 μm polydimethylsiloxane (PDMS), 85 μm polyacrylate (PA), 65 μm polydimethylsiloxane/ divinylbenzene (PDMS/DVB), 75μm carboxenTM/polymethylsiloxane (CAR/PDMS) and 50/30 μm divinylbenzene/carboxen/polymethylsiloxane (DVB/CAR/PDMS).…”

Section: Comparison Of Two Types Of Gc Capillary Columnsmentioning

confidence: 99%

Integration of GC-MS Based Non-Targeted Metabolic Profiling with Headspace Solid Phase Microextraction Enhances the Understanding of Volatile Differentiation in Tobacco Leaves from North Carolina, India and Brazil

Ma¹,

Gandra²,

Sharma³

et al. 2012

AJPS

View full text Add to dashboard Cite

In this report, gas chromatography-mass spectrometry (GC-MS) based non-targeted metabolomics is used to develop appropriate headspace solid phase microextractions (HS-SPME) to enhance the understanding of volatile complexity of flue-cured tobacco leaves. Non-targeted metabolic profiling of GC-MS shows that the extraction condition of HS-SPME at 100˚C for 30 min provides a better metabolite profile than other extraction conditions tested. GC-MS and principal component analyses (PCA) show that among five types of fibers tested, 100 μm polydimethylsiloxane (PMDS), 65 μm polydimethylsiloxane/divinylbenzene (PMDS/DVB) and 75 μm carboxen/polydimethylsiloxane (CAR/ PMS) provide a better reproducible metabolite profile. Based on an appropriate PDMS extraction condition optimized, we use GC-MS analysis and PCA to compare metabolite profiles in flue-cured leaves of tobacco plants grown in North Carolina, India and Brazil, respectively. The resulting data of PCA show that the global metabolic profiles in North Carolina samples are separated from those in Brazil and India samples, two groups of which are characterized by a partially overlapped pattern. Several peaks that were differentially accumulated in samples were annotated to known metabolites by deconvolution analysis, such as norsolanadione, solavetivone and rishitin. Norsolanadione is detected only in Brazil samples. Solavetivone is detected in samples of India and Brazil but not in those of North Carolina. Rishitin is detected in samples of North Carolina and India but not in Brazil samples. These data indicate that not only can a non-targeted metabolic profiling approach enhance the understanding of volatile complexity, but also can identify marker volatile metabolites in tobacco leaves produced in different growth regions.

show abstract

Section: Comparison Of Two Types Of Gc Capillary Columnsmentioning

confidence: 99%

Integration of GC-MS Based Non-Targeted Metabolic Profiling with Headspace Solid Phase Microextraction Enhances the Understanding of Volatile Differentiation in Tobacco Leaves from North Carolina, India and Brazil

Ma¹,

Gandra²,

Sharma³

et al. 2012

AJPS

View full text Add to dashboard Cite

show abstract

“…This might have been due to competition between the vaporized water molecules and volatile compounds in terms of the adsorption capacity to the liquid phase of the SPME fiber under the higher temperatures. 13,14) The changes in volatile compounds at different isolation temperatures (Fig. 2B) reveal that the peak area of certain volatiles of lower retention time, including ethyl acetate, decreased markedly with increasing isolation temperature.…”

Section: Optimization Of the Isolation Temperaturementioning

confidence: 99%

SPME Technique for Analyzing Headspace Volatiles in FishMiso, a Japanese Fish Meat-Based Fermented Product

Giri

Osako

Ohshima

2010

Bioscience, Biotechnology, and Biochemistry

View full text Add to dashboard Cite

The optimized conditions were evaluated for solidphase microextraction (SPME) to investigate the headspace volatiles in fish miso, a Japanese fish meat-based fermented product. The influence on the efficiency for microextraction of such parameters as the sample size, isolation time and temperature, sensitivity and selectivity of several SPME fibers of different liquid phases as well as several extraction techniques was evaluated. Suitable reproducibility and sensitivity of SPME were achieved by combining carbowax/divenylbenzene of 65 m thickness as the liquid phase of SPME, 3 g of fish miso, 40 C of isolation temperature and 40 min of isolation time. The headspace volatiles of fish miso prepared from spotted mackerel were analyzed under the optimized conditions. Although several volatiles contributed to fish miso, certain volatile esters might have played the greatest role in imparting the sweetfruity aroma to the product.Key words: fermented fish paste; solid phase microextraction (SPME); optimization; volatile compounds; calibrationThe increased variety of different value-added and novel products from foreign and domestic food manufacturers has bought a new challenge to food technologists to modify or invent new generic products that fulfill consumers' demand in Japan. One promising product is a fermented fish meat paste, so-called fish miso. Our previous investigations have revealed its nutritional and taste aspects.1,2) However, characterizing the volatiles and standardizing the volatile analysis for this newly developed flavor-rich food product have not previously been carried out. The volatiles are normally present at low concentrations of mgl À1 or less and should therefore be determined by such sensitive analytical techniques as gas chromatography (GC) with flame ionization detection (FID), mass spectrometry (MS) or olfactrometry (O).3) Several techniques requiring preconcentration are usually used, the most traditional and common technique being liquid-liquid extraction. 4)However, these methods are time-consuming, expensive and likely to introduce artifacts resulting from the sample preparation and solvent interaction steps. Moreover they cannot represent the total composition of volatile chemicals in equilibrium as found in the intact aroma. The sample preparation technique should preferably be fast, easy to use, inexpensive and compatible with a range of analytical instruments. Solid-phase microextraction (SPME) is a method that approaches these ideals and is applied to the analysis of various aroma and flavor compounds in a sample. The main advantages of SPME are its simplicity, speed, solventfreedom, high sensitivity, small sample volume, relatively low cost and simple automation.5) Many studies on the application of SPME have been reported for fermented products, including wine, 6) fermented pickled cucumber 7) and fermented vegetable kimchi.8) It has been used to determine a wide variety of volatile compounds in wine, for example esters and alcohols, 9) sulfur compounds, 10) and chlorophenols res...

show abstract

“…Since its introduction by Arthur and Pawliszyn in early 1990s [27] it has found a wide usage for the analysis of volatile and semi-volatile compounds in a broad variety of matrices [28][29][30]. In tobacco and tobacco smoke studies, SPME has been used to assess phenolic compounds in cigarette smoke condensate [31], tobacco additives [32][33][34], volatiles in tobacco [35], and tobacco smoke [7,8], various alkaloids present in tobacco [36], acetates in tobacco [37], acetaldehyde in mainstream tobacco smoke [38], and free-base nicotine associated with the particulate phase portion of mainstream cigarette smoke [39]. Important parameters affecting SPME methodology for tobacco and tobacco smoke analysis include, among others, the extraction time, extraction temperature or the type of the fiber employed.…”

Section: Introductionmentioning

confidence: 99%

“…Important parameters affecting SPME methodology for tobacco and tobacco smoke analysis include, among others, the extraction time, extraction temperature or the type of the fiber employed. Optimization of extraction conditions can be carried out by univariate approaches, where each factor is studied separately [7,34,35], or using a multivariate experimental design strategy [40], that allows for simultaneous variation of all evaluated factors. The multivariate approach requires fewer experimental runs and makes it easier to distinguish possible interactions among the factors, that would not be possible to detect using traditional methods [41].…”

Section: Introductionmentioning

confidence: 99%

Multivariate analysis of mainstream tobacco smoke particulate phase by headspace solid-phase micro extraction coupled with comprehensive two-dimensional gas chromatography–time-of-flight mass spectrometry

Brokl

Bishop

Wright

et al. 2014

Journal of Chromatography A

View full text Add to dashboard Cite

A method involving headspace solid-phase microextraction (HS-SPME) and comprehensive two-dimensional gas chromatography (GC×GC) coupled to time-of-flight mass spectrometry (TOFMS) was developed and applied to evaluate profiles of volatile compounds present in mainstream tobacco smoke particulate matter trapped on glass fiber filters. Six SPME fibers were tested for the extraction capacities toward selected compounds, showing the best results for the polyacrylate fiber. The optimization of the extraction conditions was carried out using multivariate response surface methodology. Two cigarette types differing in a filter design were analyzed using optimized conditions. A template was built in order to generate comprehensive chemical information, which conceded obtaining consistent information across 24 chromatograms. Principal component analysis (PCA) allowed a clear differentiation of the studied cigarette types. Fisher ratio analysis allowed identification of compounds responsible for the chemical differences between the cigarette samples. Of the selected 143 most important ones, 134 analytes were reduced by the active carbon filter, while for nine, classical cellulose acetate filter was more efficient.

show abstract

Optimization of headspace sampling using solid-phase microextraction for volatile components in tobacco

Cited by 45 publications

References 14 publications

Integration of GC-MS Based Non-Targeted Metabolic Profiling with Headspace Solid Phase Microextraction Enhances the Understanding of Volatile Differentiation in Tobacco Leaves from North Carolina, India and Brazil

Integration of GC-MS Based Non-Targeted Metabolic Profiling with Headspace Solid Phase Microextraction Enhances the Understanding of Volatile Differentiation in Tobacco Leaves from North Carolina, India and Brazil

SPME Technique for Analyzing Headspace Volatiles in FishMiso, a Japanese Fish Meat-Based Fermented Product

Multivariate analysis of mainstream tobacco smoke particulate phase by headspace solid-phase micro extraction coupled with comprehensive two-dimensional gas chromatography–time-of-flight mass spectrometry

Contact Info

Product

Resources

About