Static Headspace Analysis and Its Current Status

Родинков, О. В.; Bugaichenko, A. S.; Москвин, Л. Н.

doi:10.1134/s106193482001013x

Cited by 18 publications

(11 citation statements)

References 127 publications

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“…However, such a set of serial analyses is preferably performed using automatic and semiautomatic attachments to gas chromatographs. 15 Additionally, compared to a conventional GC setup, the HSA requires thermostatic conditions ranging from 30 to 250 °C. Moreover, compared to a conventionally used GC–FID design, the commonly used static headspace design requires a long time for reaching the interfacial equilibrium and gives unreliable storage stability of samples.…”

Section: Introductionmentioning

confidence: 99%

“…A major drawback of using this technique is the potential errors arising from the incomplete chemical conversion of the analyte. Additionally, a chemical conversion often involves reagents that are expensive …”

Section: Introductionmentioning

confidence: 99%

“…Such an emerging technique can facilitate the analyses of dozens of samples. However, such a set of serial analyses is preferably performed using automatic and semiautomatic attachments to gas chromatographs . Additionally, compared to a conventional GC setup, the HSA requires thermostatic conditions ranging from 30 to 250 °C.…”

Section: Introductionmentioning

confidence: 99%

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Processing Method for the Quantification of Methanol and Ethanol from Bioreactor Samples Using Gas Chromatography–Flame Ionization Detection

2022

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Methanol, a simple polar solvent, has been widely identified as an attractive carbon source to produce chemicals and fuels in bioprocesses. Specifically, to achieve recombinant protein production from methylotrophic yeasts, such as Pichia pastoris , this organic solvent can be used as a sole carbon source for growth and maintenance as well as an inducer for protein expression. However, if methanol feeding is not controlled well in such a fermentation process, accumulation of the solvent in the growth media will have a detrimental effect on the cells. Hence, monitoring the levels of methanol in these fermentation processes is a crucial step to ensure a healthy culture and maximum protein production. There are various techniques elaborated in the literature for monitoring methanol in cell cultures, but often, they appear to be expensive methods that are less affordable for many laboratories. This is because, in addition to the sophisticated equipment that is required for the analysis, the complexity of the samples retrieved from the bioprocesses necessitates laborious processing steps often involving expensive tools. In this study, a fast, simple, and sensitive method is developed to process biological samples by using the salting-out-assisted liquid–liquid extraction technique to quantify the concentration of methanol and ethanol using gas chromatography. On comparing the combinations of widely available salts and solvents, it was noticed that salting out using potassium carbonate followed by the liquid–liquid extraction of the analyte using ethyl acetate showed the best recovery. Followed by this, a validation test for the developed method was performed, which resulted in good peak resolution, linearity, and limit of detection for the quantitation of methanol and ethanol. By further assessing the tested combination, it was confirmed that its application could be extended to other matrices. Such an approach facilitates the possibility to monitor and control the methanol levels in fermentation and aids in bioprocess optimization.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Processing Method for the Quantification of Methanol and Ethanol from Bioreactor Samples Using Gas Chromatography–Flame Ionization Detection

2022

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“…Static headspace sampling (SHS) is a well-established technique for the analysis of VOCs from liquid/solid sample matrices (Alvarado and Rose, 2004; Rodinkov et al , 2020). SHS involves incubation of a sample sealed in a vial within a temperature-controlled oven resulting in the release of thermal degradation/volatilization products to the headspace of a sealed vial.…”

Section: Introductionmentioning

confidence: 99%

Examining the mass loss and thermal properties of 3D printed models produced by fused deposition modeling and stereolithography under elevated temperatures

Hsieh

Anderson

2022

RPJ

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Purpose This paper aims to study the mass loss of three-dimensional (3D) printed materials at high temperatures. A preconcentration and analysis technique, static headspace gas chromatography-mass spectrometry (SHS-GC-MS), is demonstrated for the analysis of volatile compounds liberated from fused deposition modeling (FDM) and stereolithography (SLA) 3D printed models under elevated temperatures. Design/methodology/approach A total of seven commercial 3D printing materials were tested using the SHS-GC-MS approach. The printed model mass and mass loss were examined as a function of FDM printing parameters including printcore temperature, model size and printing speed, and the use of SLA postprocessing procedures. A high temperature resin was used to demonstrate that thermal degradation products can be identified when the model is incubated under high temperatures. Findings At higher printing temperatures and larger model sizes, the initial printed model mass increased and showed more significant mass loss after thermal incubation for FDM models. For models produced by SLA, the implementation of a postprocessing procedure reduced the mass loss at elevated temperatures. All FDM models showed severe structural deformation when exposed to high temperatures, while SLA models remained structurally intact. Mass spectra and chromatographic retention times acquired from the high temperature resin facilitated identification of eight compounds (monomers, crosslinkers and several photoinitiators) liberated from the resin. Originality/value The study exploits the high sensitivity of SHS-GC-MS to identify thermal degradation products emitted from 3D printed models under elevated temperatures. The results will aid in choosing appropriate filament/resin materials and printing mechanisms for applications that require elevated temperatures.

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“…Discrimination of mint species has also been achieved through chemical analysis of the vapor phase above the essential oil or the mint plant sample. Known as headspace analysis, this technique is seen as a sampling method in the determination of volatile substances from a liquid, such as the essential oil, or a solid system, such as the plant tissue containing the essential oil [9]. Headspace analysis has been carried out using gas chromatography to identify the compounds present in the headspace of mint essential oils [10].…”

Section: Introductionmentioning

confidence: 99%

Differentiation of mint species and varieties through headspace analysis based on polymer-modified piezoelectric quartz crystal sensors

Castillo¹,

Albano²,

Sevilla³

2021

actamanil

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Mint plants have been traditionally used in flavors, fragrances, and medicines throughout the world. Polymer-modified piezoelectric quartz crystal sensor through headspace analysis was used to discriminate the six varieties of mint plant, namely: Chocolate mint (Mentha x piperita 'Chocolate'), Java mint (Mentha arvensis var. javanica), Water mint (Mentha aquatica), Peppermint (Mentha x piperita), Lemon mint (Mentha x piperita f. citrata) and Japanese peppermint (Mentha arvensis var. piperascens). Five quartz crystals were coated separately with the following polymers: polyethylene glycol (PEG), polystyrene (PS), polyvinyl chloride (PVC), cyanoacrylate (CA) and polydimethylsiloxane (PDMS) on both sides of the quartz crystal. The sample of mint leaves was placed in a sample chamber and were studied using one polymer-coated sensor at a time. The headspace vapors from the incubated sample interact with the polymer-coated sensor causing a frequency shift. The data collected for each plant for the five sensors were analyzed using pattern recognition methods.

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Static Headspace Analysis and Its Current Status

Cited by 18 publications

References 127 publications

Processing Method for the Quantification of Methanol and Ethanol from Bioreactor Samples Using Gas Chromatography–Flame Ionization Detection

Processing Method for the Quantification of Methanol and Ethanol from Bioreactor Samples Using Gas Chromatography–Flame Ionization Detection

Examining the mass loss and thermal properties of 3D printed models produced by fused deposition modeling and stereolithography under elevated temperatures

Differentiation of mint species and varieties through headspace analysis based on polymer-modified piezoelectric quartz crystal sensors

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