Methanol dissolved in transformer oil is an important characteristic quantity to characterize the aging of oil-paper insulation

thus

developing an efficient

accurate and suitable detection method for the on-site determination of methanol content in transformer oil is of great significance. Raman spectroscopy technique has the advantages of fast response

easy operation

and non-destructive testing

and has been widely used in the fields of chemistry

materials and biology research. Therefore

we employed the GAUSSIAN software to construct and calculate the Raman spectra of methanol molecule

water molecule and their binding model

and analyzed the reasons for the shift of each peak. The laser Raman spectroscopy detection platform was constructed to detect the methanol Raman spectra in the transformer oil after ultrapure water extraction. The quantitative analysis model was constructed by combining the least square method. The minimum detection limit for methanol was 15.6 mg/L

and the goodness of fit was 0.997 94. The application of Raman spectroscopy combined with liquid phase extraction in the detection of methanol in transformer oil has a good effect

and it provides a new idea for the accurate detection of aging features.