Method for detecting content of alumina in dolomite based on Raman spectrum principle

The invention discloses a method for detecting the content of aluminum oxide in dolomite based on a Raman spectrum principle, and relates to the technical field of chemical analysis of dolomite. The detection method comprises the following steps: preparing an SERS substrate, preparing a functionalized SERS substrate by adopting p-mercaptophenylboronic acid molecules, and collecting spectral lines; preparing a to-be-detected solution and a standard solution; collecting a standard spectral line and constructing a quantitative relation model; and collecting the spectral line to be detected and calculating the aluminum content through the quantitative relation model. According to the invention, a gold SERS nanostructure substrate is used as a Raman enhanced substrate, p-mercaptophenylboronic acid molecules are used as a multifunctional SERS marker, and specific detection of aluminum in dolomite is realized by comparing spectral shapes and relative intensity changes of SERS spectrums of p-mercaptophenylboronic aci