Detecting device and method for malondialdehyde content of field maize plant leaves

Abstract

The invention relates to the technical field of spectrum detection and particularly relates to a detecting device and method for the malondialdehyde content of field maize plant leaves. The detecting device comprises a suspension device, an electrically-driven trolley and a data processing module, wherein the suspension device is composed of a right-angled stretching arm, a universal joint and a curved knife suspension arm; the electrically-driven trolley is composed of a frame, a power supply device, wheels and a miniature direct-current motor; the data processing module is arranged on a vertical rod in the front of the frame; and the suspension device is connected with the electrically-driven trolley through a connecting rod. The detecting method comprises the steps of (a) preparing equipment; (b) correcting a white spectroscopic plate; (c) regulating a spectrum acquiring angle; and (d) calculating a rationalized value. According to the detecting device and method, field detection is adopted, laboratory detection is not needed, and therefore, the detection efficiency is high; the maize leaves can be comprehensively detected; the optimal detecting angle can be obtained according to the natural growth habits of different maize leaves; the spectroscopic data of the positive and negative sides of the leaves can be acquired; and the whole device is simple and practical, low in cost and easy to popularize.

Description

technical field [0001] The invention relates to the field of spectral detection of crop leaves, in particular to a detection device for malondialdehyde content of field corn plant leaves. Background technique [0002] Corn fruit contains a lot of nutrients such as protein, sugar, fat, vitamins and trace elements such as selenium and magnesium. Therefore, corn is very popular among ordinary people in our country, and the annual output is very large. MDA content in corn leaves is an important physiological indicator in the growth process of corn. It is one of the products of membrane lipid peroxidation in corn leaves when they are aging or under adverse conditions. Its content can reflect the strength of crop persecution . Monitor the malondialdehyde content index during the corn growth process, analyze the reasons for the change of the malondialdehyde content index, provide a basis for corn planting decisions, and provide scientific basis for reasonable water and fertilizer...

AI Technical Summary

Problems solved by technology

[0003] The determination of malondialdehyde content in corn leaves is still mainly based on the thiobarbituric acid (TBA) colorimetric method. This method requires destructive treatment of crops, is time-consuming and laborious, and requires more labor costs. The analysis process has many Mechanical operation, and generally not suitable for the analysis of a large number of samples, let alone the detection of malondialdehyde content in corn leaves in vivo, it is difficult to meet the requirements of digital agriculture and agricultural Internet of Things information rapid and dynamic monitoring, taking into account the accuracy of the measurement data and convenient operation And the characteristics of environmental protection and pollution-free, the use of spectroscopy technology has been applied to a certain extent

[0004] Due to the different growth shapes of corn leaves, on-site measurement has high requirements on the projection angle of the light source and the incident angle of the spectral probe. Most of the existing spectral detection methods for the content of malondialdehyde in corn leaves use picking new leaves and bagging them with crushed ice to keep them fresh to prevent leaves from deteriorating. In order to affect the accuracy of spectral measurement of malondialdehyde content, the real-time requirements for measuring malondialdehyde content are high

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