This thesis regards black tea as the analysis target. Basing on the analysis of plenty of black
tea added with different food additives, the visual spectral analysis technology is used to
scan the absorption spectrum of the tea, and the MATLAB software is applied to optimize
the data, then ultimately we can get the absorption spectrum curves of several groups of
tea added with different food additives. Through the analysis and comparison of the
absorption spectrum curves of the tea before and after added with food additives, we
can observe the effects of different additives on the tea intuitively. This study provides a
new way for analyzing the effects of food additives on black tea and the composition of
tea beverages with the usage of visual spectral analysis technology.