Micro-fluidic automatic separation and intelligent component identification system
阅读说明:本技术 一种微流控自动分选及组分智能鉴定系统 (Micro-fluidic automatic separation and intelligent component identification system ) 是由 马炯 盛菡 龙相安 糜岚 费义艳 于 2019-12-17 设计创作,主要内容包括:本发明公开了一种微流控自动分选及组分智能鉴定系统。该系统包括液滴芯片、上样和储存单元、颗粒图像检测单元、颗粒组分鉴定单元和载物台自动移位装置;上样和储存单元的上方依次设置颗粒图像检测单元和多个颗粒组分鉴定单元;载物台自动移位装置包括载物台和芯片位移轨道,载物台上搭载液滴芯片,载物台设置在芯片位移轨道上,芯片位移轨道分别和上样和储存单元、颗粒图像检测单元及颗粒组分鉴定单元相连;本发明的系统可实现对微量溶液中颗粒的连续自动化计数,粒度分布和图像识别,分选和收集,以及组分智能多功能分析鉴定。(The invention discloses a micro-fluidic automatic separation and intelligent component identification system. The system comprises a liquid drop chip, a sample loading and storing unit, a particle image detection unit, a particle component identification unit and an automatic stage shifting device; a particle image detection unit and a plurality of particle component identification units are sequentially arranged above the loading and storage unit; the objective table automatic shifting device comprises an objective table and a chip displacement track, wherein a droplet chip is carried on the objective table, the objective table is arranged on the chip displacement track, and the chip displacement track is respectively connected with the sample loading and storing unit, the particle image detection unit and the particle component identification unit; the system can realize continuous automatic counting, particle size distribution and image recognition, sorting and collection of particles in a trace solution, and intelligent multifunctional analysis and identification of components.)
1. A micro-fluidic automatic separation and component intelligent identification system is characterized by comprising a liquid drop chip, a sample loading and storing unit, a particle image detection unit, a particle component identification unit and an objective table automatic shifting device; the sample loading and storing unit comprises a temperature controller and a waste liquid bottle, the automatic object stage shifting device comprises an object stage and a chip displacement track, the object stage is loaded with a droplet chip and is arranged on the chip displacement track, and the chip displacement track is respectively connected with the sample loading and storing unit, the particle image detecting unit and the particle component identifying unit; the liquid drop chip comprises a bottom plate, an electrode microarray layer, an upper hydrophobic polymer layer, a lower hydrophobic polymer layer and an electrode selector, wherein at least one electrode selector is adhered below the bottom plate, the electrode microarray layer is arranged above the bottom plate, and the lower hydrophobic polymer layer and the upper hydrophobic polymer layer are arranged above the electrode microarray layer; a sample liquid storage area, a digital liquid drop microfluidic flow path, a detection window and a liquid drop storage area are arranged between the upper hydrophobic polymer layer and the lower hydrophobic polymer layer; the sample liquid storage area is at least composed of a sample liquid storage chamber; the digital liquid drop micro-fluidic flow path comprises a main flow path and branch flow paths, wherein the main flow path is connected with a liquid flow outlet at the bottom of each sample liquid storage chamber, the main flow path is also connected with an inlet of a detection window, the outlet of the detection window is connected with each liquid drop storage chamber through the branch flow paths, the distribution of the micro-fluidic flow path corresponds to the distribution of an electrode microarray in an electrode microarray layer, and the main flow path mainly realizes the separation of liquid drops; the liquid drop storage area comprises a plurality of liquid drop storage small chambers, the outlet of the detection window is divergently connected to each liquid drop storage small chamber through a branch flow path, and electrode microarrays are distributed in the main flow path at the inlet and the branch flow path at the outlet of the detection window; the particle image detection unit comprises a first detector, and the first detector is an image capturer; the particle component identification unit comprises a second detector, and the second detector is selected from one or more of an ultraviolet spectrometer, an infrared spectrometer, a Raman spectrometer, a fluorescence spectrometer, a microwave spectrometer, an electron spin spectrometer or a nuclear magnetic resonance spectrometer.
2. The microfluidic automated sorting and intelligent identity system of components of claim 1, further comprising a micro-battery, wherein the micro-battery is connected to the electrode selector.
3. The microfluidic automated sorting and intelligent identification system of components of claim 1, wherein the image capturer is an electron microscope or an optical microscope.
Technical Field
The invention belongs to the technical field of particle analysis, and particularly relates to a micro-fluidic automatic separation and intelligent component identification system.
Background
The requirements for particle control in liquid products are gradually increasing in the fields of medical health, environmental protection and the like, such as blood sample analysis, food and pharmaceutical development and production quality control, pure water treatment and the like. Particle detection is also a critical component in quality control of product. The particle size distribution, morphological characteristics and structural composition of the particles are known and mastered, and a direct and powerful thought and solution is provided for product process development and process optimization, product quality control and product problem investigation and research in various related fields.
Particle size analyzers based on image analysis have been widely reported. From US patent No. US 7064826B 2, a digital optical particle size detection method is known, which uses reduced magnification to perform pixel point difference analysis on the obtained particle image pixel array, thereby obtaining the detection results of particle size distribution and morphology. From US 9360410B2 it is known to provide a particle detector which covers a wide particle size range. Wherein the lower and middle size ranges are detected based on dark image areas of the particles and the larger size range of the particles is detected based on brighter image areas of the particles. The particle detector includes a sample flow cell, a dark field light source, a light field light source, an imaging system, a process system, and a pump system. A liquid sample is driven by a peristaltic pump to flow through a sample flow cell, and particles in the liquid are captured by a microscope and camera system.
Particle detection has many fields that require the volume of a detection sample to be reduced as much as possible due to the wide application fields. The sample processing system manufactured by the micro-fluidic chip technology can realize the target of micro and high-flux detection of the liquid sample. From CN 104846400B, an electrolytic device based on the principle of electrowetting on a dielectric layer is known, which obtains droplets containing electrolytic products with different polarities at specific concentrations by controlling the electrolytic process and the droplet splitting process. It is known from CN 104994955B that a droplet manipulation system manipulates droplets by providing voltage pulses to individual electrodes in an electrode array to achieve electrowetting.
The current particle detector can only analyze the particle size distribution and the morphology of particles in liquid, but cannot provide structural composition information of the particles more deeply. For morphological analysis of particles, it is still in the preliminary application stage of images. The image information of the particles obtained by the analysis of the instrument cannot be used for accurately judging the attributes of the particles, namely, the endogenous property and the heterologous property. This limitation makes particle image analysis often useful only as an aid and reference for particle analysis. If one wants to know the true structure and origin of a particle, only particle image analysis is used in conjunction with other particle component identification methods. However, current methods of particle fraction identification rely purely on manual filtration separation of particles in a liquid, which is quite time and labor consuming. A qualified researcher can only complete the separation and component identification of particles in a liquid sample within 4 hours. Based on the large volume requirement of manual operation of the sample, the destructiveness to the sample, the inevitable risk of environmental pollution in the sample detection process, and the high technical difficulty of individual identification and detection and data analysis, the identification of the particle components cannot be widely popularized and used in the industry.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention aims to provide a microfluidic automatic sorting and component intelligent identification system. The system has high automation degree, and can realize continuous automatic counting, image and granularity identification, sorting and collection and multifunctional intelligent component analysis and identification of particles in a trace solution by utilizing a liquid drop chip manufactured by a microfluidic technology and an optical detector for particle image detection and particle component identification.
The invention automatically separates the liquid containing particles into liquid drops under the traction of the electrowetting technology, the liquid drops reach a visible detection window through a digital liquid drop microfluidic flow path of a liquid drop chip, the liquid drops are detected by an optical detector arranged outside the position right above the detection window, and the automatic intelligent identification of the particle components is realized based on the detected particle images and spectral information. The technical scheme of the invention is specifically introduced as follows.
A micro-fluidic automatic sorting and component intelligent identification system comprises a liquid drop chip, a sample loading and storing unit, a particle image detection unit, a particle component identification unit and an objective table automatic shifting device; the sample loading and storage unit includes temperature control
Instruments and waste bottles; the objective table automatic shifting device comprises an objective table and a chip displacement track, wherein a droplet chip is carried on the objective table, the objective table is arranged on the chip displacement track, and the chip displacement track is respectively connected with the sample loading and storing unit, the particle image detection unit and the particle component identification unit; the liquid drop chip comprises a bottom plate, an electrode microarray layer, an upper hydrophobic polymer layer, a lower hydrophobic polymer layer and an electrode selector, wherein at least one electrode selector is adhered below the bottom plate, the electrode microarray layer is arranged above the bottom plate, and the lower hydrophobic polymer layer and the upper hydrophobic polymer layer are arranged above the electrode microarray layer; a sample liquid storage area, a digital liquid drop microfluidic flow path, a detection window and a liquid drop storage area are arranged between the upper hydrophobic polymer layer and the lower hydrophobic polymer layer; the sample liquid storage area is at least composed of a sample liquid storage chamber; the digital liquid drop micro-fluidic flow path comprises a main flow path and branch flow paths, wherein the main flow path is connected with a liquid flow outlet at the bottom of each sample liquid storage chamber, the main flow path is connected with an inlet of a detection window, an outlet of the detection window is connected with each liquid drop storage chamber through the branch flow paths, the distribution of the micro-fluidic flow path corresponds to the distribution of an electrode microarray in an electrode microarray layer, and the main flow path mainly realizes the separation of liquid drops; the liquid drop storage area comprises a plurality of liquid drop storage small chambers, the outlet of the detection window is divergently connected to each liquid drop storage small chamber through a branch flow path, and electrode microarrays are distributed in the main flow path at the inlet and the branch flow path at the outlet of the detection window; the particle image detection unit comprises a first detector, and the first detector is an image capturer; the particle component identification unit comprises a second detector, and the second detector is selected from any one or more of an ultraviolet spectrometer, an infrared spectrometer, a Raman spectrometer, a fluorescence spectrometer, a microwave spectrometer, an electron spin spectrometer or a nuclear magnetic resonance spectrometer.
The invention also comprises a micro battery, and the micro battery is connected with the electrode selector.
In the present invention, the image capturer is an electron microscope or an optical microscope.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention utilizes the digital electrowetting droplet microfluidic technology to process liquid particle samples, can greatly reduce the sample volume consumption, and realizes the automatic separation of particles in liquid and the nondestructive analysis of the samples, namely the collection and reutilization of sample particles.
2. The invention combines the micro-fluidic technology and the particle image detection technology, can realize the preliminary automatic separation of particles, and can remove common bubbles and silicone oil in the preliminary separation if the common bubbles and silicone oil in the pharmaceutical process are removed.
3. The invention also adopts a particle component identification technology, and can efficiently finish the component identification of suspected particles on the basis of primary particle sorting.
4. The invention adopts the automatic shifting device of the objective table, and can realize the full-automatic integrated operation of particle separation and identification.
5. The system of the invention utilizes a liquid drop chip of the digital microfluidic technology and an integrated multifunctional optical detector to realize the continuous and automatic counting, the particle size distribution and the image recognition, the sorting and the collection of the protein particles, the cells and other particles in the trace solution and the multifunctional intelligent analysis and identification of the particle components. The system can be applied to any field of process development and quality control related to particles as main components or impurities. For example, the system can be applied to quality control in the production process of liquid medicine, especially for deviation investigation and root cause analysis of particle impurities. The system can be used for knowing and confirming the reason for introducing or causing the formation of the particles by utilizing a large amount of high-value information generated by the system, and improving the production process of the liquid medicine preparation in a targeted manner, thereby finally realizing the effective control of the particles in the production process. In addition, the system can also be applied to the fields of formulation and process development, microencapsulation process development, cell clone screening and cell culture process optimization, identification of environmental bacteria microorganisms, chromatographic column filler filling process detection and quality control, food and beverage formulation process development and quality control, equipment cleaning process confirmation, diamond micronization grinding process development and optimization, sewage treatment and pure water process development, blood sample analysis and the like.
Drawings
Fig. 1 is a schematic diagram of the structure of the system of the present invention.
FIG. 2 is a schematic diagram of a droplet chip structure and droplet detection.
FIG. 3 is a schematic diagram of displacement control of droplets on a droplet chip.
Reference numerals: 1-a waste liquid bottle, 2-a chip displacement track, 3-a waste liquid pipeline, 4-a temperature controller, 5-a droplet chip, 6-a detection window, 7-a data processing center, 8-a loading and storage unit, 9-a light source, 10-an optical device, 11-a first detector, 12-a particle image detection unit, 13-a second detector, 14, 16-a particle component identification unit, 15-an nth detector, 17-a bottom plate, 18-an electrode selector, 19-an electrode microarray layer, 20-a lower hydrophobic polymer layer, 21-a droplet microfluidic flow path layer, 22-an upper hydrophobic polymer layer, 23-a droplet to be detected, 24-a polymer film, 25-a sample storage chamber and 26-a sample storage area, 27-droplet reservoir, 28-digital droplet microfluidic flow path, 29-droplet storage chamber, 30-waste droplet.
Detailed Description
The technical scheme of the invention is explained in detail in the following by combining the drawings and the embodiment.
As shown in figures 1-3, a microfluidic automatic sorting and component intelligent identification system comprises a sample loading and storage device
And a
The
The microfluidic channel layer 21 in the
The sample reservoir region 26 is composed of at least one or more (preferably 10) independent 1mL sample reservoirs 25, into which at least one or more of the same or different biological samples can be placed, respectively. The sample reservoir 26 is a reservoir well without an upper cover made of a polymer film (the well seal may additionally cover a cover plate, preferably a custom silicone sheet), and the well size is preferably 10mm x 10 mm.
The digital droplet microfluidic flow path 28 is a channel of the
The sample liquid storage chambers 25 to the
The
The
After the particle image detection of all samples is finished, the
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