Sound surface wave resonator series detection and detection method

Abstract

The invention discloses a sound surface wave resonator series detection and a detection method, the detection system comprises a resonance detector, a dc source and a digital counter, the digital counter is connected to a computer through a RS 232 communication interface, the resonance detector is arranged in a shielding box, the resonance detector has two probes, Annona squamosa L to be detected is placed between two probes; the detection system for detecting the storage life of Annona squamosa L comprises the following steps: step1, placing the Annona squamosa L to be measured between two probes; step 2, measuring Annona squamosa L to be measured, collecting the load frequency of the resonance detector by the digital counter; step 3, reading the load frequency data collected by the digital counter through the computer, and calculating storage time of the Annona squamosa L. The sound surface wave resonator series detection and the detection method can detect the storage time of Annona squamosa L in a rapid, simple and accurate mode, and the determination result is objective and reliable.

Description

technical field [0001] The invention relates to a detection device for the storage period of custard apples, in particular to a surface acoustic wave resonator series detection system and a method for detecting the custard apple storage period using the surface acoustic wave resonator series detection system. Background technique [0002] cherimoya ( Annona squamosa ) originated from tropical America, belonging to Litchiaceae, introduced to China in the 17th century, Chinese name Xiangli, Buddha head fruit, Sakyamuni fruit, fan wife, etc., is a semi-deciduous small tree, now widely distributed in tropical and relatively Warm subtropical regions have high nutritional and economic value. However, because the fresh custard apple is extremely perishable, it is not resistant to storage and transportation. At present, the vast majority of domestic custard apple fruits are only sold in the place of origin after they mature, and it is difficult to sell them to non-origin markets, ...

AI Technical Summary

Problems solved by technology

The traditional method of judging fruit maturity is based on artificial sensory observation of parameters such as peel color, flesh hardness, aroma, etc. Although this method can distinguish the changes of fruits during storage, the judgment results may vary due to individual differences in evaluators, health status, etc. The influence of factors leads to poor repeatability and reference

Other methods such as physical and chemical testing methods can reflect the freshness of fruit samples, but the experimental operation is cumbersome and takes a long time, and it is difficult to meet the needs of rapid non-destructive testing.

Instrumental analysis methods, such as gas chromatography (GC) and gas chromatography-mass spectrometry (GC-MS), can accurately analyze the volatile gas components and other information of fruit samples with different storage periods, but these detection methods are expensive and difficult to detect. The cycle is long, especially the odor components obtained are the products of the samples after separation, and the products need to be recombined before comparison, so the test results are difficult to represent the integrity of the samples

In addition, instrumental analysis usually has a greater dependence on the proficiency of the operator

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