Herein, by employing PCs to enhance the uorescence intensity of dye molecules, we designed a one- array chip system to discriminate Baijiu. This is the rst time that the uorescence enhancement of PCs has been employed to identify distilled liquor. Six uorescent dyes, with an emission wavelength close to that of photonic stopbands, could react speci-cally with one or more types of Baijiu markers at room temperature and pressure. Production of such click chemistry could enhance or quench the uorescence. Through a slow photon effect, even small changes can make a big difference. A chip scanner with two laser emitters (emission ¼ 532 nm and 635 nm) was selected as the main site to collect signals, and all the information contained in the eight-channel array could be obtained. Subsequent use of pattern recognition and simulation of neural networks revealed the outstanding classication ability of our array chip. Moreover, compared with other liquid sensor arrays, which can be used only for eld conguration,the LOO accuracy of our array was >90% aer 10 days of dry storage under N2. With popularization, this glass-based PCs system could be benecial for quality control of Baijiu.