The application research of solid‐phase extraction and headspace gas chromatography in the detection of methanol in transformer oil

Chen, Chen; Li, Shengli; Hu, Kangli

doi:10.1002/tee.23212

Cited by 5 publications

(3 citation statements)

References 11 publications

(7 reference statements)

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“…Chen et al. used a combination of static headspace injection and solid phase extraction (SPE) for pretreatment, used SPE to adsorb and concentrate the sample, took headspace sampling for desorption, and injected methanol into gas chromatography [86]. Figure 7a shows the SPE experimental setup, the syringe was opened as a tank and inserted into the extraction column.…”

Section: Detection Methods Of Methanolmentioning

confidence: 99%

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A review on a novel method for aging evaluation of transformer insulating paper based on methanol

Chen

Sun

Cheng

et al. 2023

IET Generation Trans & Dist

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The insulation paper is a crucial factor for evaluating the insulation status of transformers. The traditional evaluation methods for insulation paper are dissolved gas component content analysis (CO and CO 2 ) and furfural (2-FAL) content analysis in oil. The detection principle of the former leads to its low accuracy, while the field application effect of the latter is not ideal due to the easy oxidation of furfural and low content. Methanol, result of its good stability and high production compared with other marker products (CO, CO 2 , 2-FAL) has been investigated as a novel marker for aging evaluation of transformer insulating paper in recent years. The results of the investigation indicated that there is a good correlation between the content of methanol in oil and the degree of polymerization under laboratory conditions, which reflected the insulation aging state of the transformer insulating paper more accurately. This paper summarizes the current research status of methanol formation mechanism, detection methods and aging evaluation in insulating oil, and points out the key problems to be solved and development prospects, hoping to provide relevant reference for aging evaluation of oil immersed power transformer.

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Section: Detection Methods Of Methanolmentioning

confidence: 99%

“…(c) The calibration curve of methanol in the range of 0.98 to 18.62 mg/L. (d) The calibration curve of methanol in the range of 10 to 600 μg/L [86].…”

Section: Detection Methods Of Methanolmentioning

confidence: 99%

A review on a novel method for aging evaluation of transformer insulating paper based on methanol

Chen

Sun

Cheng

et al. 2023

IET Generation Trans & Dist

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“…When the content of furfural in transformer oil is higher than 4.30 mg l −1 , the transformer needs to be replaced [2]. When the content of furfural in transformer oil is higher than 4.30 mg l −1 , the transformer needs to be replaced [22]. The advantages of evaluating transformer aging through the content of furfural in oil include: convenient sampling without power outages; single source; relatively stable properties of furfural; high boiling point, making it less likely to lose [23].…”

Section: Introductionmentioning

confidence: 99%

Research on infrared spectroscopy detection of furfural content in transformer oil based on acetonitrile extraction

Tian,

Li,

Wang

et al. 2024

Meas. Sci. Technol.

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The stable operation of power transformers depends on the oil-paper insulation system, in which the aging degree of insulating paper is the key to evaluate the remaining life of the transformer. Currently, methanol extraction is widely used to detect the furfural content in oil to evaluate the aging state of insulating paper, but it ignores the influence of methanol produced during the operation of the transformer on the extraction results. To address this issue, this paper proposes a new method that can replace methanol extraction for detecting furfural in oil through simulation and experiment. Firstly, through simulation and experiment, it is proved that the strong vibration absorption peaks at 1677 cm-1 for furfural carbonyl and 2240 cm-1 for acetonitrile cyano can be used to establish a new method for extracting furfural content in oil using acetonitrile. A quantitative model between the concentration x of furfural in the furfural-acetonitrile mixed solution and the area y of the infrared absorption peak at 1677 cm-1 is established, with a goodness of fit of 0.9974. Secondly, a comparison between direct detection and acetonitrile extraction methods is conducted. The results show that direct detection is simple to operate, but the minimum detection concentration is 40mg/L, which is difficult to meet practical requirements. Acetonitrile extraction can reduce the minimum detection concentration to 0.1mg/L. At the same time, the extraction conditions are analyzed to determine the extraction ratio of 30, extraction times of 5, and extraction rate of 60%. Finally, the proposed detection method is applied to thermal aging tests on insulating paper of different types. The experimental results show that the proposed method has good repeatability and improves the detection resolution of furfural content. This paper combines infrared spectroscopy with acetonitrile extraction technology to open up a more efficient and practical new method for detecting furfural content in transformer oil.

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Derivatization reaction-based surface-enhanced Raman scattering for detection of methanol in transformer oil using Ag/ZnO composite nanoflower substrate

Chen

Zhu

et al. 2022

Applied Surface Science

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The application research of solid‐phase extraction and headspace gas chromatography in the detection of methanol in transformer oil

Cited by 5 publications

References 11 publications

A review on a novel method for aging evaluation of transformer insulating paper based on methanol

A review on a novel method for aging evaluation of transformer insulating paper based on methanol

Research on infrared spectroscopy detection of furfural content in transformer oil based on acetonitrile extraction

Derivatization reaction-based surface-enhanced Raman scattering for detection of methanol in transformer oil using Ag/ZnO composite nanoflower substrate

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