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Journal articles on the topic 'Dynamic headspace sampling (DHS)'

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Author: Grafiati

Published: 4 June 2021

Last updated: 21 February 2023

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1

Hu, Die, Junrui Guo, Ting Li, Mu Zhao, Tingting Zou, Huanlu Song, and Aygul Alim. "Comparison and Identification of the Aroma-Active Compounds in the Root of Angelica dahurica." Molecules 24, no. 23 (November 28, 2019): 4352. http://dx.doi.org/10.3390/molecules24234352.

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Solid-phase microextraction (SPME), purge and trap (P&T), stir bar sportive extraction (SBSE), and dynamic headspace sampling (DHS) were applied to extract, separate and analyze the volatile compounds in the roots of Hangbaizhi, Qibaizhi, and Bobaizhi and the GC-O-MS/MS (AEDA) was utilized for the quantification of key aroma compounds. Totals of 52, 54, and 43 aroma-active compounds extracted from the three samples by the four extraction methods were identified. Among these methods, the SPME effectively extracted the aroma compounds from the A. dahurica. Thus, using the SPME methods for quantitative analysis based on external standards and subsequent dilution analyses, totals of 20, 21, and 17 aroma compounds were detected in the three samples by the sniffing test, and sensory evaluations indicated that the aromas of A. dahurica included herb, spice, and woody. Finally, principal component analysis (PCA) showed that the three kinds A. dahurica formed three separate groups, and partial least squares discriminant analysis (PLS-DA) showed that caryophyllene, (−)-β-elemene, nonanal, and β-pinene played an important role in the classification of A. dahurica.

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2

Zhang, Yuanyuan, Long Tang, Yu Zhang, Huanlu Song, Ali Raza, Wenqing Pan, Lin Gong, and Can Jiang. "Comparison of Different Volatile Extraction Methods for the Identification of Fishy Off-Odor in Fish By-Products." Molecules 27, no. 19 (September 21, 2022): 6177. http://dx.doi.org/10.3390/molecules27196177.

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This study was conducted to analyze volatile odor compounds and key odor-active compounds in the fish soup using fish scarp and bone. Five extraction methods, including solid-phase microextraction (SPME), dynamic headspace sampling (DHS), solvent-assisted flavor evaporation (SAFE), stir bar sorptive extraction (SBSE), liquid-liquid extraction (LLE), were compared and SPME was finally selected as the best extraction method for further study. The volatile odor compounds were analyzed by gas chromatography-olfactometry-mass spectrometry (GC-O-MS) and comprehensive two-dimensional gas chromatography-olfactometry-mass spectrometry (GC × GC-O-MS) techniques, and the key odor-active compounds were identified via aroma extract dilution analysis (AEDA) and relative odor activity value (r-OAV) calculation. A total of 38 volatile compounds were identified by GC-O-MS, among which 10 were declared as odor-active compounds. Whereas 39 volatile compounds were identified by GC × GC-O-MS, among which 12 were declared as odor-active compounds. The study results revealed that 1-octen-3-one, 2-pentylfuran, (E)-2-octenal, 1-octen-3-one, hexanal, 1-octen-3-ol, 6-methylhept-5-en-2-one, (E,Z)-2,6-nondienal and 2-ethyl-3,5-dimethylpyrazine were the key odor-active compounds in the fish soup.

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3

Song, Chaowei, Qi Wang, Jaime A. Teixeira da Silva, and Xiaonan Yu. "Identification of Floral Fragrances and Analysis of Fragrance Patterns in Herbaceous Peony Cultivars." Journal of the American Society for Horticultural Science 143, no. 4 (July 2018): 248–58. http://dx.doi.org/10.21273/jashs04420-18.

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Thirty herbaceous peony (section Paeonia of the genus Paeonia) cultivars were divided into four groups (no fragrance, light fragrance, medium fragrance, or intense fragrance) based on their sensory evaluation scores. Using dynamic headspace sampling (DHS) and automatic thermal desorption–gas chromatography/mass spectrometry (ATD-GC/MS), 130 volatile organic components were detected in these 30 cultivars and a total of 72 compounds were identified as scent components. The main compounds were phenylethyl alcohol, β-caryophyllene, linalool, (R)-citronellol, and nerol. Selecting α-pinene as the standard, the volatile components of these cultivars were quantitatively analyzed. By combining the sensory evaluation scores and the results of quantitative analysis, we found that ‘Going Bananas’, ‘Cream Delight’, ‘Zhu Sha Pan’, ‘Qiao Ling’, ‘Duchess de Nemours’, and ‘Yang Fei Chu Yu’ displayed an intense fragrance and, thus, had relatively high commercial value for the flower fragrance industry. ‘Red Magic’, ‘Joker’, ‘Fairy Princess’, ‘Lovely Rose’, ‘Carina’, and ‘Etched Salmon’ were excluded from the hierarchical cluster of aromatic compounds and the analysis of fragrance patterns because of the low amount of fragrance they released and poor sensory evaluation results. Based on a cluster analysis, assessment of the major aromatic compounds, and the results of sensory evaluation, the remaining 24 cultivars were divided into five fragrance patterns for the first time: woody scent [cluster I (major fragrance β-caryophyllene)], fruity scent [cluster II (phenylethyl alcohol)], lily scent [cluster III (linalool)], rose scent {cluster IV [(R)-citronellol]}, and an orange blossom scent [cluster V (nerol)].

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4

Kast, Christina, Marion Fracheboud, and Pascal Fuchsmann. "Quantitation of 1,4-Dichlorobenzene and Thymol in Beeswax Using Dynamic Headspace Vacuum Transfer in Trap Extraction Prior to Gas Chromatography-Mass Spectrometry." Molecules 27, no. 17 (August 23, 2022): 5367. http://dx.doi.org/10.3390/molecules27175367.

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A method based on dynamic headspace vacuum transfer in trap extraction, followed by gas chromatography coupled with a mass spectrometer (DHS-VTT-GC-MS), was validated for the fast quantitation of 1,4-dichlorobenzene (p-dichlorobenzene; PDCB) and thymol residues in beeswax. The quantitation limits (LOQ) were 0.05 mg/kg (PDCB) and 0.25 mg/kg (thymol). Recoveries above 80% were obtained for PDCB concentrations between 0.05 and 10 mg/kg and for thymol concentrations between 0.25 and 200 mg/kg. Analysis of beeswax samples showed a good correlation between the results obtained by DHS-VTT-GC-MS analysis and those of a previous method based on SPE extraction followed by gas chromatography and triple- quadrupole mass spectrometry (GC-MS/MS) (R2 = 0.9770 for PDCB and 0.9666 for thymol). However, the sample preparation and chromatography were much shorter using the DHS-VTT-GC-MS method. Forty comb foundations samples produced in Switzerland in 2019 and 2021 were analysed using DHS-VTT-GC-MS. Fourteen samples contained PDCB above the LOQ of 0.05 mg/kg, ranging up to a maximum of 1.53 mg/kg. The mean concentration of the positive samples was 0.22 mg/kg. All samples contained thymol residues ranging between 3.9 and 84.4 mg/kg with mean and median concentrations of 22.7 mg/kg and 17.4 mg/kg. Residue levels of PCDB and thymol in Swiss beeswax were substantially below those measured 20 (PDCB) and 10 (thymol) years ago, respectively.

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5

Silva, R. C., P. M. S. Aguiar, and F. Augusto. "Coupling of Dynamic Headspace Sampling and Solid Phase Microextraction." Chromatographia 60, no. 11-12 (November 16, 2004): 687–91. http://dx.doi.org/10.1365/s10337-004-0446-y.

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6

Boczkaj, Grzegorz, Patrycja Makoś, and Andrzej Przyjazny. "Application of dynamic headspace and gas chromatography coupled to mass spectrometry (DHS-GC-MS) for the determination of oxygenated volatile organic compounds in refinery effluents." Analytical Methods 8, no. 17 (2016): 3570–77. http://dx.doi.org/10.1039/c5ay03043a.

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The paper presents a new procedure for the determination of oxygenated volatile organic compounds in postoxidative effluents from the production of petroleum asphalt using dynamic headspace coupled to gas chromatography-mass spectrometry in SIM mode.

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7

Brill, Jeffrey H., and Wolfgang Bertsch. "AN INVESTIGATION OF SAMPLING METHODS FOR THE ANALYSIS OF INSECT CUTICULAR HYDROCARBONS." Journal of Entomological Science 20, no. 4 (October 1, 1985): 435–43. http://dx.doi.org/10.18474/0749-8004-20.4.435.

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Several sampling methods were examined to determine their efficiency at recovering the cuticular hydrocarbons, including solvent washing, extraction, and dynamic headspace analysis. Hexane proved to be an acceptable solvent for obtaining a representative hydrocarbon sample, but is not a good solvent for quantitative recoveries, unless special measures are taken. This appears to be as a result of both limitations in solubility and kinetic problems. Dynamic headspace analysis using a pyroprobe for thermal desorption of the hydrocarbons proved to be a rapid and quantitative sampling method.

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8

Yu, Liangli, Denys J. Charles, Amots Hetzroni, and James E. Simon. "Volatile Constituents of Muskmelon (Cucumis melo cv. Mission)." HortScience 31, no. 4 (August 1996): 643e—643. http://dx.doi.org/10.21273/hortsci.31.4.643e.

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The volatiles of muskmelon (Cucumis melo L. reticulatis cv. Mission) were sampled by dichloromethane extraction and dynamic headspace methods and analyzed by gas chromatography (GC) and GC–mass spectroscopy (MS). A total of 34 constituents were identified, with esters contributing 8%–92% of the total volatiles. Butyl propionate, ethyl 3-methylpentanoate, hexadecanoic acid, methyl (methylthio)acetate, propyl butyrate, phenylpropyl alcohol, and vanillin, were recovered only by solvent extraction, while hexanal was only detected using dynamic headspace sampling. Methyl butyrate 35.2%, ethyl acetate 17.1%, butyl acetate 11.6%, ethyl propionate 8.3%, and 3-methylbutyl acetate 6.3% were the major constituents by solvent extraction sampling method. Butyl acetate 35.5%, 3-methylbutyl acetate 20.9%, ethyl acetate 7.3%, 2-butyl acetate 5.6%, and hexyl acetate 3.8% were the major constituents recovered by headspace sampling. Fruit tissue was also separated into five layers (exocarp, outer mesocarp, middle mesocarp, inner mesocarp, and seed cavity) and the volatile constituents differed significantly in content and composition by tissue.

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9

Gallegos, Shawna F., Edgar O. Aviles-Rosa, Nathaniel J. Hall, and Paola A. Prada-Tiedemann. "Headspace sampling of smokeless powder odor in a dynamic airflow context." Forensic Chemistry 27 (March 2022): 100402. http://dx.doi.org/10.1016/j.forc.2022.100402.

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10

Harvey, Scott D., and Jon H. Wahl. "On-matrix derivatization for dynamic headspace sampling of nonvolatile surface residues." Journal of Chromatography A 1256 (September 2012): 58–66. http://dx.doi.org/10.1016/j.chroma.2012.07.095.

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11

Jordan, Elizabeth D., Thomas C. Y. Hsieh, and Nikolaus H. Fischer. "Volatile compounds from leaves of Ceratiola ericoides by dynamic headspace sampling." Phytochemistry 31, no. 4 (April 1992): 1203–8. http://dx.doi.org/10.1016/0031-9422(92)80261-c.

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12

Karya Triko Biakto, Idrus Andi Paturusi, Harry Supratama Azis, Luky Tandio Putra, and Jorvin Kurniawan. "A comparison of walking ability between the dynamic hip screw and cephalomedullary nailing fixations in intertrochanteric femur fracture." Bali Medical Journal 11, no. 1 (April 30, 2022): 368–72. http://dx.doi.org/10.15562/bmj.v11i1.3207.

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Introduction: Fractures of the hip are common injuries; approximately 50% of fractures occur in the intertrochanteric region. The treatment is to restore patients to their pre-injury level of mobility. Secure fixation is required to allow immediate return to unrestricted weight-bearing. The common fixation methods are dynamic hip screw (DHS) and proximal femoral nail anti-rotation (PFNA). This study compared postoperative walking ability in femoral intertrochanter fractures treated with DHS and PFNA and evaluated the confounding factors. Methods: We conducted a retrospective cross-sectional conducted at Wahidin Sudirohusodo General Hospital and Universitas Hasanuddin Hospital for patients from 2018 to 2021. The sample was patients with intertrochanteric femoral fracture based on x-ray treated with DHS and PFNA using the purposive sampling method. A total of 107 patients with complete medical record data were included in this research, consisting of 81 DHS cases and 26 PFNA cases. Obtained data from these patients were then statistically analyzed by Chi-square and Fischer exact test. The p-value <0.05 was significant. Results: In bivariate analysis, the percentage of weight-bearing subjects was higher in DHS (61.7%) than in PFNA (46.2%), although not statistically significant (p>0.05). By controlling for confounding factors such as age, gender, type of fracture, and length of stay, it turns out that there is no significant difference in the results of the postoperative walking ability comparison. Conclusion: It was concluded that there was no difference in weight-bearing walking ability (full and partial) at discharge between PFNA and DHS.

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13

Buttery, Ron G., Gary R. Takeoka, Michael Naim, Haim Rabinowitch, and Youngla Nam. "Analysis of Furaneol in Tomato Using Dynamic Headspace Sampling with Sodium Sulfate." Journal of Agricultural and Food Chemistry 49, no. 9 (September 2001): 4349–51. http://dx.doi.org/10.1021/jf0105236.

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14

Kremser, Andreas, Maik A. Jochmann, and Torsten C. Schmidt. "Systematic comparison of static and dynamic headspace sampling techniques for gas chromatography." Analytical and Bioanalytical Chemistry 408, no. 24 (August 15, 2016): 6567–79. http://dx.doi.org/10.1007/s00216-016-9843-y.

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15

Triyana, Kuwat, M. Taukhid Subekti, Prasetyo Aji, Shidiq Nur Hidayat, and Abdul Rohman. "Development of Electronic Nose with Low-Cost Dynamic Headspace for Classifying Vegetable Oils and Animal Fats." Applied Mechanics and Materials 771 (July 2015): 50–54. http://dx.doi.org/10.4028/www.scientific.net/amm.771.50.

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A portable electronic nose (e-nose) using low-cost dynamic headspace and commercially metal oxide gas sensors has been developed. This paper reports evaluation on the performance of the e-nose to classify vegetable oils (sunflower and grape seed oils) and animal fats (mutton, chicken and pig fats). The e-nose consists of a dynamic headspace sampling, a gas sensor array and a real-time data acquisition system based on ATMega-16 microcontroller. The dynamic headspace can divided into two chambers, i.e. sample and gas sensor array room. It is also equipped with three small fans for adjusting sensing and purging processes. Principal component analysis (PCA) was used for measurement data analysis after all features being extracted. The first two principal components were kept because they accounted for 91.1% of the variance in the data set (first and second principals accounted for 72.9, 18.2% of the variance, respectively). This results show that the e-nose can distinguish vegetable oils and animal fats. This work demonstrates for the future that the e-nose with low-cost dynamic headspace technique may be applied to the identification of oils and fats in halal authentication.

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16

Sanchez-Cruz, Abraham, Norma Robledo, María Rosete-Enríquez, and Angel A. Romero-López. "Attraction of Adults of Cyclocephala lunulata and Cyclocephala barrerai (Coleoptera: Scarabaeoidea: Melolonthidae) towards Bacteria Volatiles Isolated from Their Genital Chambers." Molecules 25, no. 19 (September 27, 2020): 4430. http://dx.doi.org/10.3390/molecules25194430.

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In the study of the chemical communication of adults of the Melolonthidae family, bacteria have been observed in the epithelium of the genital chamber; possibly, bacteria are involved in the production of sex attractants in their hosts. Therefore, it is important to identify the volatile organic compounds from bacteria (VOCsB) released by these microorganisms and study the biological activity stimulated by VOBCs in adults of Melolonthidae. In this study, bacteria were isolated from the genital chamber of Cyclocephala lunulata and Cyclocephala barrerai, from which VOCsB were extracted using static headspace solid-phase microextraction (SHS-SPME) and dynamic headspace Super Q solid-phase extraction (DHS-SPE) and analyzed using gas chromatography-mass spectrometry. The effect of VOCsB on the hosts and conspecifics was evaluated utilizing an olfactometer and electroantennography (EAG). Two species of Enterobacteria were isolated from the genital chamber of each female species, and VOCsB derived from sulfur-containing compounds, alcohols, esters, and fatty acids were identified. An attraction response was observed in olfactometry studies, and antennal responses to VOCsB were confirmed in EAG bioassays. With these results, new perspectives on the relationship between these beetles and their bacteria emerge, in addition to establishing a basis for management programs in the future.

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17

Wojnowski, Wojciech, Tomasz Majchrzak, Tomasz Dymerski, Jacek Gębicki, and Jacek Namieśnik. "Dynamic Headspace Sampling as an Initial Step for Sample Preparation in Chromatographic Analysis." Journal of AOAC International 100, no. 6 (November 1, 2017): 1599–606. http://dx.doi.org/10.5740/jaoacint.17-0206.

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18

Fäldt, Jenny, Mikael Eriksson, Irena Valterová, and Anna-Karin Borg-Karlson. "Comparison of Headspace Techniques for Sampling Volatile Natural Products in a Dynamic System." Zeitschrift für Naturforschung C 55, no. 3-4 (April 1, 2000): 180–88. http://dx.doi.org/10.1515/znc-2000-3-408.

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Abstract Commonly used dynamic sorption techniques for collecting biologically active volatile compounds have been compared. Solid phase microextraction (SPME) using two types of fibers (polydimethylsiloxane, PDMS, 100 μm, and carbowax/divinylbenzene, CW/DVB, 65 μm) was compared to purge and trap methods (Porapak Q, Tenax TA and charcoal) and a technique based on absorption in methanol in a cooling bath. Sampling was done in a stream of purified air (20 ml/min) in a closed and temperature-regulated (27 °C) glass tube, passing over a capillary tube containing a hexane solution of tridecane, heptadecane, 1-octen-3-ol, 1- hexadecanol, ethyl tetradecanoate, α-pinene, linalool, terpinen-4-ol, cis-verbenol, verbenone, β-caryophyllene, E,E-farnesol, and geranylgeraniol. With all of the methods, the sampling was performed for a period of 30 min before extraction and analysis was done on a GC-FID system. In general, SPME gave a higher response for all compounds except for a-pinene, which was only extracted by the CW/DVB fiber. Purge and trap methods and methanol absorption gave the same response for all substances extracted. None of the methods extracted hexadecanol and geranylgeraniol under the conditions used. However, the SPME equipped with the PDMS coating extracted heptadecane, E,E-farnesol and ethyl tetradecanoate. Our results show that SPME, when selecting the fibers to fit the polarity and volatility of the compounds, is an outstanding extraction method compared to purge and trap and methanol absorption, especially for a qualitative analysis. The best conditions for storing fibers exposed to compounds of high volatility were at low temperatures (6 °C) in sealed vials, while the worst way was to leave the exposed fiber unprotected at room temperature (22 °C). The dynamic sampling system was effectively tested on a fruiting body of a polypore fungus ( Ganoderma applanatum) emitting 1-octen-3-ol, and again SPME showed to be the most sensitive technique.

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19

Rodriguez, Sergio A., María L. Paliza, and Monica A. Nazareno. "Influence of Adsorbent Nature on the Dynamic Headspace Study of Insect Semiochemicals." Australian Journal of Chemistry 70, no. 8 (2017): 902. http://dx.doi.org/10.1071/ch17064.

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In chemical ecology studies (insect–insect, insect–plant relationships), it is important to choose the appropriate sampling methods and the correct optimization of sampling by using dynamic systems. In the present work, different adsorbents were evaluated in a dynamic system that presents a stream of purified air flowing through an aeration chamber containing a mixture of volatile organic compounds, mainly insect semiochemicals such as α-pinene, sulcatone, β-linalool, menthone, isomenthone, methyl salicylate, grandlure I, grandlure II, grandlure III, grandlure IV, eugenol, and α-ionone. Traditional adsorbents such as Tenax TA, Porapak Q, Hayesep Q, and activated charcoal were evaluated; further, alternatives such as Porapak Rxn RP, HLB, SCX, and silica gel, among others were proposed owing to their lower cost. The results demonstrated that Porapak Q and Porapak Rxn RP, despite their different chemical composition, were able to produce similar ratios of compounds to that of the reference solution and, moreover, with the highest recovery yields. However, it is important to emphasize the adsorption selectivity provided by SCX for eugenol and α-ionone. When Porapak Rxn RP was used in the analysis of Eucalyptus globulus volatiles, excellent results were obtained, and these agree with reported data from a hydrodistillation method.

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20

LUNDÉN, ANNE, VICTORIA GUSTAFSSON, MIROSLAVA IMHOF, ROLAND GAUCH, and JACQUES-OLIVIER BOSSET. "High trimethylamine concentration in milk from cows on standard diets is expressed as fishy off-flavour." Journal of Dairy Research 69, no. 3 (August 2002): 383–90. http://dx.doi.org/10.1017/s002202990200568x.

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To establish whether fishy off-flavour observed in cows' milk in Sweden is due to abnormal concentrations of trimethylamine (TMA) in milk, 15 milk samples from 13 cows of the Swedish Red and White breed (SRB) were analysed for this compound using dynamic headspace (DHS) gas chromatography (GC). A mass selective detector (MSD) was used for the qualitative and a flame ionization detector (FID) for the quantitative analyses. Further confirmation was obtained using a solid phase microextraction (SPME) followed by GC-olfactometry (GC-O) and GC-NPD (nitrogen and phosphorus detector). Samples were also evaluated by a two-person organoleptic panel for the presence of fishy off-flavour. Results showed that the seven milk samples with a fish-like taint contained >1 mg TMA/kg milk, whereas, with a single exception, the seven samples that were judged to be normal did not contain this compound. Furthermore, there were indications of a dose-dependent relationship between TMA concentration and fishy off-flavour score.

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21

Wang, J., Z. Zhang, X. Kong, H. Wang, and S. Zhang. "Intraspecific and interspecific attraction of threeTomicusbeetle species during the shoot-feeding phase." Bulletin of Entomological Research 105, no. 2 (January 30, 2015): 225–33. http://dx.doi.org/10.1017/s0007485315000048.

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AbstractThe shoot beetlesTomicus minor, Tomicus yunnanensis, andTomicus brevipilosushave been decimatingPinus yunnanensistrees for more than 30 years in Southwestern China. To understand the chemical ecological relationship between pines andTomicus, and among the three beetle species, we compared the attraction of these beetles to damaged shoots, extracts from damaged shoots, and volatiles from damaged shoots collected by the dynamic headspace sampling method. Experiments were performed using a modified open-arena olfactometer. The maleT. minorand both sexes ofT. brevipilosuswere more strongly attracted to damaged shoots than to undamaged shoots and they showed attraction to shoots damaged by the same species. FemaleT. minorand both sexes ofT. yunnanensiswere attracted to shoots damaged by femaleT. brevipilosus. The three beetle species were attracted to shoot extracts and dynamic headspace volatiles from shoots damaged by the same species and sex. FemaleT. minorand maleT. yunnanensiswere also attracted to dynamic headspace volatiles from shoots damaged by both sexes ofT. brevipilosus. The results suggested that specific semiochemicals that are induced or produced byT. brevipilosusalso attractT. minorandT. yunnanensis. The semiochemicals in damaged shoots affect the attraction of the three beetle species and play an important chemical communication role in weakening the host trees during the beetles’ shoot-feeding phase.

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22

Refsgaard, Hanne H. F., Anne-Mette Haahr, and Benny Jensen. "Isolation and Quantification of Volatiles in Fish by Dynamic Headspace Sampling and Mass Spectrometry." Journal of Agricultural and Food Chemistry 47, no. 3 (March 1999): 1114–18. http://dx.doi.org/10.1021/jf9807770.

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23

Hagman, Anders, and Sven Jacobsson. "Theoretical model for quantitative determination of volatile compounds in polymers by dynamic headspace sampling." Analytical Chemistry 61, no. 11 (June 1989): 1202–7. http://dx.doi.org/10.1021/ac00186a005.

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24

Aro, Tarja, Raija Tahvonen, Lotta Koskinen, and Heikki Kallio. "Volatile compounds of Baltic herring analysed by dynamic headspace sampling–gas chromatography–mass spectrometry." European Food Research and Technology 216, no. 6 (March 29, 2003): 483–88. http://dx.doi.org/10.1007/s00217-003-0678-3.

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25

Eom, In-Yong, Vadoud H. Niri, and Janusz Pawliszyn. "Development of a syringe pump assisted dynamic headspace sampling technique for needle trap device." Journal of Chromatography A 1196-1197 (July 2008): 10–14. http://dx.doi.org/10.1016/j.chroma.2008.03.036.

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26

Romero-Frías, Alicia, José Maurício Simões-Bento, and Coralia Osorio. "Chemical Signaling Between Guava (Psidium guajava L., Myrtaceae) and the Guava Weevil (Conotrachelus psidii Marshall)." Revista Facultad de Ciencias Básicas 11, no. 1 (January 31, 2015): 102. http://dx.doi.org/10.18359/rfcb.384.

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<div class="WordSection1"><p class="Default"> Volatile organic compounds (VOCs) from guava (<em>Psidium guajava </em>L.) reproductive tissues (flower bud, open flower, petal fall, fruit setting, and fruit growth) were collected <em>in situ </em>during the day by headspace-solid phase microextraction (HS-SPME), and from flower bud and fruit setting by dynamic headspace (DHS). The samples were analyzed by GC-MS to separate and identify VOCs produced by guava, which potentially could attract the guava weevil <em>(Conotrachelus psidii </em>Marshall, Coleoptera: Curculionidae), one of the most important pests of guava plants in Colombia and Brazil. The terpenes <em>β</em>-caryophyllene, limonene, and copaene (tentatively identified) were present in all of the guava reproductive tissues, being the major constituents in flower bud and fruit setting, the two guava stages where <em>C. psidii </em>is commonly found. Additionally, the volatile compounds released by male and female insects were separately collected by HS-SPME, and comparatively analyzed by GC-MS. As result, some of volatile detected in the guava reproductive tissues were also released from insects. The behavioral response of the volatile blends and the above-mentioned compounds was studied in a Y-tube olfactometer bioassay, allowing confirming the presence of host kairomones in the guava reproductive tissues.</p></div>

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27

Stilo, Federico, Chiara Cordero, Barbara Sgorbini, Carlo Bicchi, and Erica Liberto. "Highly Informative Fingerprinting of Extra-Virgin Olive Oil Volatiles: The Role of High Concentration-Capacity Sampling in Combination with Comprehensive Two-Dimensional Gas Chromatography." Separations 6, no. 3 (July 15, 2019): 34. http://dx.doi.org/10.3390/separations6030034.

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The study explores the complex volatile fraction of extra-virgin olive oil by combining high concentration-capacity headspace approaches with comprehensive two-dimensional gas chromatography, which is coupled with time of flight mass spectrometry. The static headspace techniques in this study are: (a) Solid-phase microextraction, with multi-polymer coating (SPME- Divinylbenzene/Carboxen/Polydimethylsiloxane), which is taken as the reference technique; (b) headspace sorptive extraction (HSSE) with either a single-material coating (polydimethylsiloxane—PDMS) or a dual-phase coating that combines PDMS/Carbopack and PDMS/EG (ethyleneglycol); (c) monolithic material sorptive extraction (MMSE), using octa-decyl silica combined with graphite carbon (ODS/CB); and dynamic headspace (d) with either PDMS foam, operating in partition mode, or Tenax TA™, operating in adsorption mode. The coverage of both targeted and untargeted 2D-peak-region features, which corresponds to detectable analytes, was examined, while concentration factors (CF) for a selection of informative analytes, including key-odorants and off-odors, and homolog-series relative ratios were calculated and the information capacity was discussed. The results highlighted the differences in concentration capacities, which were mainly caused by polymer-accumulation characteristics (sorptive/adsorptive materials) and its amount. The relative concentration capacity for homologues and potent odorants was also discussed, while headspace linearity and the relative distribution of analytes, as a function of different sampling amounts, was examined. This last point is of particular interest in quantitative studies where accurate data is needed to derive consistent conclusions.

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Liberto, Erica, Cecilia Cagliero, Chiara Cordero, Patrizia Rubiolo, Carlo Bicchi, and Barbara Sgorbini. "Fractionated dynamic headspace sampling in the analysis of matrices of vegetable origin in the food field." Journal of Chromatography A 1489 (March 2017): 18–28. http://dx.doi.org/10.1016/j.chroma.2017.02.009.

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Takeda, Kikuo, Ai Mochizuki, Tatsuo Nonaka, Ikuko Matsumoto, Taketoshi Fujimoto, and Taketoshi Nakahara. "Evaluation of Outgassing Compounds from Cleanroom Construction Materials." Journal of the IEST 44, no. 1 (December 19, 2001): 28–32. http://dx.doi.org/10.17764/jiet.44.1.u17p0l7l3xhu5115.

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The control of organic outgassing from cleanroom construction materials is becoming stricter, as semiconductor device geometries continue to shrink. In this article, a dynamic headspace sampling technique coupled with gas chromatography-mass spectrometry (GC-MS) was studied for evaluating cleanroom construction materials. With this method, the outgassing amount increases linearly with increasing sampling time. The outgassing rate is determined from the slope of this curve. The logarithm of the outgassing rate shows a linear relation with a reciprocal number of the absolute temperature of outgassing. By using this relationship, the outgassing rate of materials at temperatures of interest can be estimated from the available data.

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Erb, Amandine, Philippe Marsan, Manuella Burgart, Aurélie Remy, Anne-Marie Lambert-Xolin, Fanny Jeandel, Ogier Hanser, and Alain Robert. "Simultaneous determination of aromatic and chlorinated compounds in urine of exposed workers by dynamic headspace and gas chromatography coupled to mass spectrometry (dHS-GC–MS)." Journal of Chromatography B 1125 (September 2019): 121724. http://dx.doi.org/10.1016/j.jchromb.2019.121724.

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Ochiai, Nobuo, Jun Tsunokawa, Kikuo Sasamoto, and Andreas Hoffmann. "Multi-volatile method for aroma analysis using sequential dynamic headspace sampling with an application to brewed coffee." Journal of Chromatography A 1371 (December 2014): 65–73. http://dx.doi.org/10.1016/j.chroma.2014.10.074.

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32

Buchbauer, Gerhard, Leopold Jirovetz, Michael Wasicky, and Alexej Nikiforov. "Volatile constituents ofexacum affine balf. f. Flowers obtained by dynamic headspace sampling and as the essential oil." Flavour and Fragrance Journal 9, no. 2 (March 1994): 55–58. http://dx.doi.org/10.1002/ffj.2730090204.

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33

Juszczak, R. "Biases in methane chamber measurements in peatlands." International Agrophysics 27, no. 2 (March 1, 2013): 159–68. http://dx.doi.org/10.2478/v10247-012-0081-z.

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Abstract The paper presents results of CH4 emission measurements at peatland with the application of the dynamic chamber technique. The measurements were conducted in two types of chambers differing in shape, height, volume and technology used to assure their tightness. The study tested how the following factors: 1) forced chamber headspace mixing or its absence, 2) mistakes of the person conducting measurements, 3) improper application of linear technique for calculating CH4 fluxes, and 4) simulated air sampling typical for static chambers, influence the significance of errors and the underestimation rate of CH4 fluxes measured in situ. It was indicated that chamber headspace mixing allows estimating methane fluxes with a smaller error than in the case of measurements conducted without mixing, and CH4 fluxes in such conditions can be 47 to 58% higher (depending on the chamber type) than in a chamber without fans. Using dynamic chambers and a fast analyzer to measure methane fluxes allows shortening the methane measurement process to a few minutes. On the other hand, using static chambers for methane flux measurements may lead to 70% underestimation of the calculated flux.

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TANCHOTIKUL, URAIWAN, and THOMAS C. Y. HSIEH. "Analysis of Volatile Flavor Components in Steamed Rangia Clam by Dynamic Headspace Sampling and Simultaneous Distillation and Extraction." Journal of Food Science 56, no. 2 (March 1991): 327–31. http://dx.doi.org/10.1111/j.1365-2621.1991.tb05272.x.

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35

Conner, Laura, Shirley Chin, and Kenneth G. Furton. "Evaluation of field sampling techniques including electronic noses and a dynamic headspace sampler for use in fire investigations." Sensors and Actuators B: Chemical 116, no. 1-2 (July 2006): 121–29. http://dx.doi.org/10.1016/j.snb.2005.12.069.

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36

Oliver-Pozo, Celia, Dimitrios Trypidis, Ramón Aparicio, Diego L. García-González, and Ramón Aparicio-Ruiz. "Implementing Dynamic Headspace With SPME Sampling of Virgin Olive Oil Volatiles: Optimization, Quality Analytical Study, and Performance Testing." Journal of Agricultural and Food Chemistry 67, no. 7 (January 23, 2019): 2086–97. http://dx.doi.org/10.1021/acs.jafc.9b00477.

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37

Nizio, Katie, and Shari Forbes. "Developing a Method for the Collection and Analysis of Burnt Remains for the Detection and Identification of Ignitable Liquid Residues Using Body Bags, Dynamic Headspace Sampling, and TD-GC×GC-TOFMS." Separations 5, no. 3 (September 17, 2018): 46. http://dx.doi.org/10.3390/separations5030046.

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In cases of suspected arson, a body may be intentionally burnt to cause loss of life, dispose of remains, or conceal identification. A primary focus of a fire investigation, particularly involving human remains, is to establish the cause of the fire; this often includes the forensic analysis of fire debris for the detection of ignitable liquid residues (ILRs). Commercial containers for the collection of fire debris evidence include metal cans, glass jars, and polymer/nylon bags of limited size. This presents a complication in cases where the fire debris consists of an intact, or partially intact, human cadaver. This study proposed the use of a body bag as an alternative sampling container. A method was developed and tested for the collection and analysis of ILRs from burnt porcine remains contained within a body bag using dynamic headspace sampling (using an Easy-VOC™ hand-held manually operated grab-sampler and stainless steel sorbent tubes containing Tenax TA) followed by thermal desorption comprehensive two-dimensional gas chromatography–time-of-flight mass spectrometry (TD-GC×GC-TOFMS). The results demonstrated that a body bag containing remains burnt with gasoline tested positive for the presence of gasoline, while blank body bag controls and a body bag containing remains burnt without gasoline tested negative. The proposed method permits the collection of headspace samples from burnt remains before the remains are removed from the crime scene, limiting the potential for contamination and the loss of volatiles during transit and storage.

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Walker, Martin D. "The influence of metal ions on concentrations of flavour-active sulphur compounds measured in beer using dynamic headspace sampling." Journal of the Science of Food and Agriculture 67, no. 1 (January 1995): 25–28. http://dx.doi.org/10.1002/jsfa.2740670105.

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39

Rodríguez-Bernaldo De Quirós, Ana Isabel, Julia López-Hernández, María José González-Castro, Carlos De la Cruz-García, and Jesús Simal-Lozano. "Comparison of volatile components in raw and cooked green beans by GC-MS using dynamic headspace sampling and microwave desorption." European Food Research and Technology 210, no. 3 (January 5, 2000): 226–30. http://dx.doi.org/10.1007/pl00005517.

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40

Kim, Sehyun, and Sunyoung Bae. "In Vitro and In Vivo Human Body Odor Analysis Method Using GO:PANI/ZNRs/ZIF−8 Adsorbent Followed by GC/MS." Molecules 27, no. 15 (July 27, 2022): 4795. http://dx.doi.org/10.3390/molecules27154795.

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Among various volatile organic compounds (VOCs) emitted from human skin, trans-2-nonenal, benzothiazole, hexyl salicylate, α-hexyl cinnamaldehyde, and isopropyl palmitate are key indicators associated with the degrees of aging. In our study, extraction and determination methods of human body odor are newly developed using headspace-in needle microextraction (HS-INME). The adsorbent was synthesized with graphene oxide:polyaniline/zinc nanorods/zeolitic imidazolate framework-8 (GO:PANI/ZNRs/ZIF−8). Then, a wire coated with the adsorbent was placed into the adsorption kit to be directly exposed to human skin as in vivo sampling and inserted into the needle so that it was able to be desorbed at the GC injector. The adsorption kit was made in-house with a 3D printer. For the in vitro method, the wire coated with the adsorbent was inserted into the needle and exposed to the headspace of the vial. When a cotton T-shirt containing body odor was transferred to a vial, the headspace of the vial was saturated with body odor VOCs. After volatile organic compounds were adsorbed in the dynamic mode, the needle was transferred to the injector for analysis of the volatile organic compounds by gas chromatography/mass spectrometry (GC/MS). The conditions of adsorbent fabrication and extraction for body odor compounds were optimized by response surface methodology (RSM). In conclusion, it was able to synthesize GO:PANI/ZNRs/ZIF−8 at the optimal condition and applicable to both in vivo and in vitro methods for body odor VOCs analysis.

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41

Rahimpoor, Razzagh, Ali Firoozichahak, Davood Nematollahi, Saber Alizadeh, Parsa Mohammad Alizadeh, and Ali Akbar Alinaghi Langari. "Determination of halogenated hydrocarbons in urine samples using a needle trap device packed with Ni/Zn–BTC bi-MMOF via the dynamic headspace method." RSC Advances 11, no. 35 (2021): 21537–47. http://dx.doi.org/10.1039/d1ra03227e.

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42

Barcatolo, Robertiono, and Pierino Casson. "Modified capillary GC/MS system enabling dynamic headspace sampling with on-line cryofocusing and cold on-column injection of liquid samples." Journal of High Resolution Chromatography 20, no. 1 (January 1997): 24–28. http://dx.doi.org/10.1002/jhrc.1240200105.

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43

Chantrachit, Theeranuch, and Daryl G. Richardson. "721 PB 435 EFFECT OF ANAEROBIC CONDITIONS ON VOLATILE COMPOUNDS OF RIPENING BANANA." HortScience 29, no. 5 (May 1994): 536d—536. http://dx.doi.org/10.21273/hortsci.29.5.536d.

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Ripening bananas (color stage 5) were placed in closed jars held at 20°C. Nitrogen (99.99%, 100 ml/min) or air were flowed through the jars. SPME (Solid Phase Micro Extraction) was used for sampling dynamic headspace and analyzed by GC-MS and GC-FID. Several volatile compounds decreased with time in the nitrogen treatment. Production of isobutyl butyrate, 3-methyl-1-butanol, methyl heptanoate, pentyl acetate, and 2-pentanol which were present in air treatments, were absent in the nitrogen treatment. Ethanol rapidly increased until the last day. Off-flavors were detected by most panelists after three days of N2 treatment and off-flavors increased in the following days. Reversibility of off-flavor after exposing the bananas to air was not detected by panelists. Correlations were low between the main compounds in the nitrogen treatment and the off-flavor score.

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44

Struk, Daniel, Peter J. Hesketh, Christopher Heist, and Milad Navaei. "Comparison of Tenax and OV-1 Thin-Films for Microfabricated Preconcentrators." ECS Meeting Abstracts MA2022-01, no. 52 (July 7, 2022): 2161. http://dx.doi.org/10.1149/ma2022-01522161mtgabs.

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Gas chromatography is a common technique for the separation and analysis of mixtures of volatile organic compounds (VOCs). In many applications, such as breath analysis and room air sampling, the concentration of analytes is so low that preconcentration is necessary to selectively trap VOCs over a longer period of time, before analysis. The goal of this project is to develop an energy efficient, compact vapor preconcentrator for air sampling. We present thin-film preconcentrators (PCF) with integrated heaters and temperature sensors that were coated with polydimethylsiloxane (OV-1), poly(2,6-diphenylphenylene oxide) (Tenax-TA) and a mixture of OV-1 and Tenax-TA. The polymer thin-films were fabricated using a dynamic coating method with 20mg/ml OV-1 in a 1:1 mixture of DCM and pentane, 10mg/ml of OV-1 and 5mg/ml of Tenax-TA in chloroform, or 20 mg/ml of Tenax-TA in chloroform. The OV-1 and OV-1/ Tenax-TA PCFs were initially tested by connecting them to the inlet and FID of a gas chromatograph with 1 m of 50um guard column. A volume of 0.2 µl of an alkane was injected via the heated inlet 175 oC at 1 psi, after any breakthrough had passed, the GC was pressurized to 8 psi and the PCFs were heated using an integrated platinum film heater. The GC was kept at a constant temperature of 40°C during these tests while the PCF was independently heated outside of the GC oven. The adsorption ratio of these experiments is summarized in table 1. Alkanes above decane such as dodecane proved difficult to desorb, even with the integrated heater reaching temperatures of approximately 260°C. The air sampling experiments for each PCF were performed for decane and benzene using a dynamic headspace sampling method with a constant flow of nitrogen induced by a mass flow controller at a rate of 0.3 ml/min. at a pressure of 5psi. A six-way valve connected the PCF to the GC for desorption at a pressure of 15psi, after a set period of time. Analysis with Agilent 5890GC using a 20 m Rxi-1ms column, temperature ramp from 40°C to 180°C at a rate of 20°C/min, and FID detector. The results for the headspace sampling are summarized in figure 1. For benzene the thin-films with Tenax-TA saturate much more quickly than the OV-1 film and the pure Tenax-TA film which has the lowest capacity. For decane, the thin films with Tenax-TA still saturate faster but the largest capacity was observed for the mix of OV-1 and Tenax-TA over this limited range of sampling times. The authors would like to thank the Georgia Tech Research Institute for funding this research out of Independent Research and Development (IRAD) funds. Figure 1

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45

Tabera, Javier, Guillermo Reglero, Marta Herraiz, and Gracia P. Blanch. "Optimization of dynamic headspace sampling for the analysis of trace volatile components of grape juice: Use of a PTV injector for intermediate trapping." Journal of High Resolution Chromatography 14, no. 6 (June 1991): 392–96. http://dx.doi.org/10.1002/jhrc.1240140608.

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46

Plotto, A., M. R. McDaniel, and J. P. Mattheis. "Development of a Flavor Profile of `Gala' Apples Using OSME Sensory Technique." HortScience 30, no. 4 (July 1995): 889E—889. http://dx.doi.org/10.21273/hortsci.30.4.889e.

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`Gala' is an early season apple variety that has a distinctive aroma and flavor. Studies were conducted to identify volatile compounds that contribute to `Gala' aroma. `Gala' apples were harvested at optimum maturity in a commercial orchard. Volatile compounds were trapped on activated charcoal using dynamic headspace sampling and eluted with carbon disulfide. Odor profiles of the samples were determined using OSME, a method developed at Oregon State Univ. that combines gas chromatography and olfactometry with a time-intensity scale. Three trained panelists described odor characteristics of compounds eluted through a sniff port of a gas chromatograph. Compounds were identified by matching Kovats indices with those of standards and also by mass spectrometry. Butyl acetate, 2-methyl butyl acetate, and pentyl acetate were characteristic of `Gala' apple. Methyl-2-methyl butyrate, ethyl-2-methyl butyrate, pentyl acetate, and butyl-2-methyl butyrate carried apple-like descriptors.

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47

Quirós, A. Rodríguez-Bernaldo De, López-Hernández J., González-Castro M., C. de la Cruz-García, and Simal-Lozano J. "Comparison of volatile components in fresh and canned sea urchin ( Paracentrotus lividus, Lamarck ) gonads by GC-MS using dynamic headspace sampling and microwave desorption." European Food Research and Technology 212, no. 6 (June 1, 2001): 643–47. http://dx.doi.org/10.1007/s002170100315.

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48

Ha, Jaeho, Yiru Wang, Hyejin Jang, Homoon Seog, and Xi Chen. "Determination of E,E-farnesol in Makgeolli (rice wine) using dynamic headspace sampling and stir bar sorptive extraction coupled with gas chromatography–mass spectrometry." Food Chemistry 142 (January 2014): 79–86. http://dx.doi.org/10.1016/j.foodchem.2013.07.038.

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49

Kumeroa, Fern, Shanika Komahan, Svetla Sofkova-Bobcheva, and Andrea Clavijo McCormick. "Characterization of the Volatile Profiles of Six Industrial Hemp (Cannabis sativa L.) Cultivars." Agronomy 12, no. 11 (October 27, 2022): 2651. http://dx.doi.org/10.3390/agronomy12112651.

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Volatile organic compounds (VOCs) play an important role in plant ecology and can be useful in pest management. This work characterises, for the first time, the VOC emissions of six industrial hemp (Cannabis sativa L.) cultivars grown in New Zealand: CFX-2, CRS-1, Ferimon 12, Katani, Futura 75, and Finola. Volatiles emitted from flowers and foliage of eight-week-old plants were collected using a dynamic headspace sampling method and analysed using gas chromatography coupled to mass spectrometry. We assessed the effect of cultivar, sex (monoecious, male, and female), and site (i.e., two sites differing in soil types, maintained under irrigation and rain-fed conditions) on VOC emissions. Thirty-five volatile compounds were tentatively identified from the headspace samples of hemp plants, but none of the cultivars emitted all 35 compounds. β-Myrcene was the most abundant compound in most cultivars. Overall, there was a significant effect of sex, and the interaction of sex and cultivar on the volatile profiles, but no effect of site. Female plants typically emitted more volatiles than their male counterparts and monoecious cultivars. The main compounds driving the difference between cultivars and sexes were (Z)- and (E)-β-ocimene. We hypothesize that differences in emission emerged as a defence strategy to protect costly female flowers from herbivores (since C. sativa is wind pollinated), but this hypothesis needs further testing. We recommend additional studies exploring how biotic and abiotic factors influence hemp VOC emissions, changes in VOCs throughout the crop cycle, the role of VOCs in plant-insect interactions and their use in pest management.

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Oruna-Concha, M. J., J. Lopez-Hernandez, J. A. Simal-Lozano, J. Simal-Gandara, M. J. Gonzalez-Castro, and C. d. l. C. Garcia. "Determination of Volatile Components in Fresh, Frozen, and Freeze-Dried Padron-Type Peppers by Gas Chromatography--Mass Spectrometry Using Dynamic Headspace Sampling and Microwave Desorption." Journal of Chromatographic Science 36, no. 12 (December 1, 1998): 583–88. http://dx.doi.org/10.1093/chromsci/36.12.583.

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