Amylose detector and method for detecting amylose

Abstract

The invention provides an amylose detector, which comprises a laser emitter, a photoelectric detecting unit, a sample injector, an analog input module and a control unit, wherein detection solution after pretreatment is filled in the sample injector; the sample injector converts laser light emitted by the laser emitter into light signals, and transmits the light signals to the photoelectric detecting unit; the photoelectric detecting unit converts the light signals into electric signals and supplies the electric signals to the analog input module which converts the electric signals into digital signals and transmits the digital signals to the control unit; and the control unit calculates the amylose content according to a relation between the absorbance and a detection voltage. The amylose detector provided by the invention uses laser detection, so the accuracy is high, the stability is high, the volume is small and the composition is simple. The invention also provides a method for detecting amylose, which has the advantages of simple steps, short detection time and high accuracy for a detection result.

Description

technical field [0001] The invention relates to the field of detection instruments, in particular to an amylose detector and a detection method for amylose. Background technique [0002] Amylose is a chain compound formed by the polymerization of glucose through α-1,4-glucosidic bonds, which can be hydrolyzed into maltose by amylase. The content of amylose in starch is 10% to 30%. It can be dissolved in hot water without forming a paste, and turns blue when it meets iodine. Amylose is the main nutrient component of wheat, corn, rice, sorghum, potato and other crops. Its content is an important factor affecting the food quality and process quality of food, and it is also one of the important indicators to evaluate the economic value of food. [0003] The amylose content (AC) of rice is one of the most important factors affecting the cooking and processing characteristics of rice. Rice with low amylose content is sticky, soft and shiny after cooking, while rice with high amy...

AI Technical Summary

Problems solved by technology

If the purity of the light is guaranteed, the light intensity is not enough, and the ability of light to penetrate the solution is poor, resulting in a smaller absorbance. According to the theory of transmittance indication error, if the absorbance is small, the measurement error will be large

Moreover, the automation degree of the UV-Vis spectrometer is low, and many links in the operation process need to be implemented with the analysis experience of the operator, which inevitably produces human error.

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