Fingerprint collection device for hickory quality detection

Abstract

The invention discloses a fingerprint collection device for hickory quality detection. The fingerprint collection device comprises a shell and a sensor array. The shell is prepared by integrating a first cuboid and a second cuboid, wherein the first cuboid and second cuboid share a same axial center. The center of the shell is provided with a through groove, whose cross section is in a rectangular shape. The second cuboid end of the shell is provided with a gas inlet. The first cuboid end of the shell is provided with a gas outlet. The upper surface and lower surface of the first cuboid are both provided with a plurality of first round through grooves. The upper surface and lower surface of the second cuboid are both provided with a plurality of second round through grooves, wherein the number of the first round through grooves is equal to the number of the second round through grooves. The sensor array comprises a first set of gas sensitive sensors and a second set of gas sensitive sensors. The first set of gas sensitive sensors is arranged on the first round through grooves. The second set of gas sensitive sensors is arranged on the second round through grooves. The design of the device is smart, by reasonably designing the shell structure, the volume of shell is reduced, and moreover, the shell has a good fluid characteristic and thus can be better applied to a portable electronic nose.

Description

technical field [0001] The invention relates to the field of food and agricultural product detection, in particular to a fingerprint collection device for hickory quality detection. Background technique [0002] Nuts are important forest resources in my country, among which pecans are mostly produced. In 2013, the total output of pecans in my country reached 1.42 million tons, accounting for nearly half of the world's total output. However, many high-quality fatty acids, amino acids and various active ingredients in pecans are susceptible to oxidation and rancidity under the influence of environmental factors such as environment, light, and oxygen, thereby affecting their taste and nutritional value. Therefore, realizing the rapid detection of hickory quality has certain social significance. [0003] The existing detection methods mainly include: 1) sensory evaluation, which detects the smell, color, texture, etc. of nuts through human vision, smell, hearing, etc.; 2) micr...

AI Technical Summary

Problems solved by technology

However, most of the existing electronic noses are desktop devices, which are bulky and not easy to carry, which is not conducive to the realization of on-site real-time detection of food and agricultural products.

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