The Column in Gas Chromatography

Poole, Colin F.

doi:10.1016/b978-044450198-1/50015-x

Cited by 7 publications

(7 citation statements)

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“…Figure 4. Surface groups of silica nanoparticles: (a) siloxane, (b) isolated silanol, (c) geminal silanols, and (d) associated silanols.Reproduced with permission from Poole and Riffenburgh 61. …”

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confidence: 99%

Effect of Textural Properties and Surface Chemical Nature of Silica Nanoparticles from Different Silicon Sources on the Viscosity Reduction of Heavy Crude Oil

et al. 2020

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The main objective of this study is to evaluate the effect of the textural properties and surface chemical nature of silica nanoparticles obtained from different synthesis routes and silicon precursors, on their interactions with asphaltenes and further viscosity reduction of heavy crude oil (HO). Four different SiO 2 nanoparticles were used, namely, commercial fumed silica nanoparticles (CSNs) and three in-house-synthesized nanoparticles (named based on the silicon source) modifying the silicon precursor: sodium silicate (SNSS), tetraethylorthosilicate (TEOS) (SNT), and rice husk (SNRH). The nanomaterials were characterized through dynamic light scattering (DLS), transmission electron microscopy (TEM), Fourier transform infrared (FTIR) spectroscopy, N 2 physisorption (S BET ), atomic force microscopy (AFM), and X-ray photoelectron (XP) spectroscopy (XPS). The adsorption of asphaltenes over the different nanoparticles was evaluated at a concentration of 1000 mg•L −1 in toluene. The asphaltene−nanoparticle interactions are closely related to several textural properties, such as roughness, surface area, and hydrodynamic diameter, as well as the surface chemical nature of the materials. The results in the textural characterization exhibited that the sizes of the nanoparticles from TEM ranged between 6.9 and 11.5 nm. Nevertheless, the standard deviation of the measurements showed that the sizes are statistically similar. Inversely, the hydrodynamic diameter changed, affecting the surface silanol group's availability due to a hindering effect on functional groups as the hydrodynamic size of the material increased. The rheological measurements were performed at a fixed nanoparticle dosage of 1000 mg•L −1 and showed that the trend of the degree of viscosity reduction (DVR) was CSN > SNT > SNSS > SNRH with the highest value yielding at 30%. The results of DVR are in accordance with the nanoparticles' adsorptive capacity as higher values were obtained with the material that leads to a higher amount of adsorbed asphaltenes. Also, the oxygen amount related to silanol groups, estimated by the XPS analysis, showed a direct relation regarding adsorption capacity and further HO viscosity reduction.

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Effect of Textural Properties and Surface Chemical Nature of Silica Nanoparticles from Different Silicon Sources on the Viscosity Reduction of Heavy Crude Oil

et al. 2020

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“…Currently, non‐biased methods for quantifying macro‐nutrients do not exist. Modern analytical methods such as chromatography and mass spectrometry for quantifying specific biomolecules are more direct and are often considered superior to indirect methods (Poole 2003). Unfortunately, as of today, these methods are immensely expensive, highly time‐consuming and require specific equipment.…”

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confidence: 99%

Methodological limitations and conceptual implications of nutritional estimations

Zaguri

Kandel

Lavie

et al. 2021

Oikos

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Trophic interactions play a critical role in regulating ecosystem functioning. Advances in trophic ecology have shifted the focus from characterizing resources based on a single 'currency' such as energy or biomass to more complex multidimensional approaches that consider the resource quality, hence require detailed estimation of different nutrients. For this purpose, ecologists use a wide plethora of extraction and quantification methods that differ substantially in precision and accuracy and vary in efficiency across sample types and taxa. Yet, ecologists seem largely oblivious to these methodological drawbacks and their severe theoretical implications. Focusing on the three main macro-nutrients groups; proteins, lipids and carbohydrates, we provided an overview of the main extraction and quantification methods and their inherent limitations, and discussed possible consequences for ecology research and theory development. We urge ecologists to adopt a standard method for estimating each macronutrient group or to use multiple methods when feasible, until more accurate and precise chromatographic methods become accessible. We hope that our study will raise awareness to the many shortcomings of macro-nutrient estimations to assist in strengthening and further developing the important field of trophic ecology.

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“…The column is filled with a particulate solid support, with particle diameters ranging from 37-44 μm to 250-354 μm. Figure (1) shows a typical example of a packed column [14].…”

Section: Scheme 3 -Steps For Introduction Of Sample Through the Colum...mentioning

confidence: 99%

ADVANCEMENT OF GAS CHROMATOGrAPHY IN QUANTITATIVE ANALYSIS

R. Joia,

H. Muhammad

2023

BTOUChemBio

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Gas chromatography (GC) is a versatile analytical technique with a rich history of advancements in quantitative analysis. This review explores the enduring relevance of GC, focusing on principles and instrumentation. GC’s ability to separate and quantify volatile compounds has solidified its place in environmental analysis, pharmaceuticals, food chemistry, and forensic science. With advanced instrumentation, sample preparation techniques, and quality control, GC continues to meet the demands of modern research. Recent innovations, including miniaturization, hyphenated techniques, and automation, enhance its precision and accessibility. This review highlights the challenges and prospects for GC in a changing analytical landscape, emphasizing sustainability and efficiency. Gas chromatography remains an indispensable tool for researchers, offering continued innovation and steadfast performance in quantitative analysis. Keywords: Sensitivity, Selectivity, Stationary Phase, Carrier Gas, Injector, Detectors, Column, Sample Introduction.

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The Column in Gas Chromatography

Cited by 7 publications

References 359 publications

Effect of Textural Properties and Surface Chemical Nature of Silica Nanoparticles from Different Silicon Sources on the Viscosity Reduction of Heavy Crude Oil

Effect of Textural Properties and Surface Chemical Nature of Silica Nanoparticles from Different Silicon Sources on the Viscosity Reduction of Heavy Crude Oil

Methodological limitations and conceptual implications of nutritional estimations

ADVANCEMENT OF GAS CHROMATOGrAPHY IN QUANTITATIVE ANALYSIS

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