Honey is a traditional natural health food， but the market is mixed and criticized. It is very important for the healthy development of honey market to distinguish mature honey from commercial dehydrated honey. According to the bionics principle that bees can distinguish the quality of honey， a tissue sensor was prepared by using a glassy carbon electrode modified by honeybee mouthparts tissue， and the honey samples were detected by cyclic voltammetry. According to the detection signal of the sensor， the linear regression analysis model of the detection sample was built to determine the best mass concentration that the sensor could identify， and the model and the discrimination effect were verified. The results showed that the model combined with the tissue sensor could effectively identify mature honey and commercial dehydrated honey， and the optimal concentration range was 0.16-0.18 g/mL， the optimal concentration range of mature honey and fructose syrup is 0.08-0.1 g/mL， and the results were stable and reliable. These data proved that honeybee tissue sensor can be used for honey detection， and the linear model of honey standard products can stably and reliably identify the types of honey to be tested.