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Main component quantitative analysis targets polymer materials. It uses spectral analysis to compress and denoise the data, then performs principal component analysis on the intensity of the characteristic peak clusters in the processed spectrum. Fitting and error calculation of spectral line intensity at different concentrations using the first principal component effectively extracts characteristic parameters and achieves quantitative material analysis. The purpose is to improve formulations, optimise processes, master core technology, improve product performance and reduce costs.