Full-automatic modular multi-sample intelligent processing system

Abstract

The invention discloses a full-automatic modular multi-sample intelligent processing system, which comprises a liquid adding and homogenizing module, an automatic vacuuming and filtering module, an automatic nitrogen blowing and concentrating module, an automatic gelatum permeating and purifying module, an automatic slide phase extracting module, an automatic transmitting and heating module and an operation control module. Corresponding processing modules, experimental condition procedures and operation procedures are edited and selected by the operation control module according to the needs of different samples to be processed to carry out corresponding automatic processing. The full-automatic modular multi-sample intelligent processing system can synchronously process four samples, can continuously process fixteen samples, and carry out processing procedures of liquid adding, homogeneity extraction, filtration, gelatum purification, solid phase extraction, nitrogen blowing on the samples. The full-automatic modular food residual sample processing system realizes full automation of processing the samples, effectively improves the sample processing quantity, simplifies the operation process, improves the detection quality and improves the experimental safety.

Description

technical field [0001] The invention relates to a fully automatic modular multi-sample intelligent processing system. Background technique [0002] At present, the sensitivity, measurement accuracy and automation of analysis and determination of modern instruments such as food testing and forensic identification are getting higher and higher, while the sample pretreatment stage mainly stays in the state of manual processing of samples. Due to the complexity of various food matrices, sample pretreatment methods and techniques are a difficult point in the food analysis process. The time-consuming, laborious and inefficient sample pretreatment process has become the "bottleneck" problem in the analysis process of harmful substance residues in food. It has caused many researchers in the field of food analytical chemistry to attach great importance to it for a long time. The steps of sample addition, homogenization, extraction, purification, and drying are important links in sam...

AI Technical Summary

Problems solved by technology

Due to the complexity of various food matrices, sample pretreatment methods and techniques are a difficult point in the food analysis process. The time-consuming, laborious and inefficient sample pretreatment process has become the "bottleneck" problem in the analysis process of harmful substance residues in food. It has attracted the attention of many researchers in the field of food analytical chemistry for a long time

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