Mass spectrum imaging high-spatial-resolution surface sampling head based on microfluidic technology and sampling method

Abstract

The invention relates to a mass spectrum imaging high-spatial-resolution surface sampling head based on a microfluidic technology and a sampling method. The mass spectrum imaging high-spatial-resolution surface sampling head based on the microfluidic technology comprises a sampling head body, the bottom of the sampling head body is provided with a sampling cavity, the sampling head body is internally provided with a first flow channel and a second flow channel, the first flow channel is used for injecting an extraction solvent, and the second flow channel is used for caching and spraying out a sample; each of the first flow channel and the second flow channel comprises a first interface and a second interface, the first interfaces of the first flow channel and the second flow channel are respectively communicated with the sampling cavity, and the second interfaces of the first flow channel and the second flow channel are respectively communicated with the outside of the sampling head body. The sampling cavity and the flow channels are designed, so that the sampling head has the characteristic of compact structure, meanwhile, the sampling spatial resolution and the sampling effect are improved, and the sampling head is provided with a planar design and a gas-liquid path interface, and can be conveniently combined with external movement equipment such as a robot and the like for use.

Description

technical field [0001] The invention relates to a mass spectrometry imaging high spatial resolution surface sampling head and a sampling method based on microfluidic technology. Background technique [0002] Mass spectrometry is an analytical method based on mass-to-charge ratio detection, and it is the only analytical method that can determine the structure of chemical molecules. [0003] The existing mass spectrometry technology uses a mass spectrometer pen to achieve sample extraction, however, the existing mass spectrometer pen has the following disadvantages: [0004] 1) Large scale and low spatial resolution: the contact area between the mass spectrometer probe (sampling head) and the surface to be sampled is relatively large, the diameter of the sampling area is 2-5mm, and the sampling area is obviously larger than 10mm 2 , so the spatial resolution is low. Due to the limitations of the process, the aforementioned invention has a resolution greater than 1 mm, which ...

AI Technical Summary

Problems solved by technology

[0004] 1) Large scale and low spatial resolution: the contact area between the mass spectrometer probe (sampling head) and the surface to be sampled is relatively large, the diameter of the sampling area is 2-5mm, and the sampling area is obviously larger than 10mm 2 , so the spatial resolution is low

Due to the limitations of the technology, the aforementioned invention has a resolution greater than 1mm and cannot be further improved.

[0005] 2) Long tube transmission loss and pollution: The mass spectrometer probe (sampling head) and the sample collected by the aforementioned patent need to be transmitted to the mass spectrometer through a long tube. Long-distance transmission of the sample will cause residual loss and pollution, which will affect the analysis effect

[0006] 3) The sampling process and the analysis process are highly coupled: because the sample transfer of the mass spectrometer pen technology requires the mass spectrometer to provide vacuum suction and directly inject the sample, the sampling process and the analysis process are highly coupled, the system integration is difficult, and all samples are lost after analysis and cannot be saved. recheck

The aforementioned patent may combine the control of the peristaltic pump for sample delivery with the sample injection of the mass spectrometer, which is difficult to decouple

[0007] 4) Unable to integrate array automation: the current handheld sampling method and sampling head design of mass spectrometer pen technology are difficult to integrate with automation technology and equipment, and automatic sampling and analysis cannot be realized

Therefore, it is difficult to improve efficiency or realize remote operation

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