Droplet dPCR blood cell classification optical detector based on Raman spectrum analysis

Abstract

The utility model relates to the technical field of biomedical detection, and provides a liquid drop dPCR blood cell classification optical detector based on Raman spectrum analysis, which comprises a detection box, a connecting screw in threaded connection with the outer side wall of the detection box, a fastening screw in threaded connection with the outer side wall of the detection box, a baffle in sliding connection with the inner side wall of the detection box and a detection mechanism, the detection mechanism is arranged on the inner side wall of the detection box and comprises a grating, the grating is installed on the inner side wall of one end of the detection box, and esp modules are symmetrically installed on the side, close to the grating, of the inner side wall of the detection box; the blood cell detector is small and exquisite in structure, convenient to carry, suitable for blood cell detection in various occasions, rapid and accurate in detection, capable of greatly shortening the detection process and improving the blood cell detection efficiency, not limited by space, time and environmental conditions and capable of detecting blood cells anytime and anywhere; by scanning the identity card, cloud synchronization of detection results is realized, and data management and query are facilitated.

Description

Technical Field

[0001] The utility model relates to the technical field of biomedical detection, in particular to a droplet dPCR blood cell classification optical detector based on Raman spectroscopy analysis. Background Art

[0002] The blood cell classification optical detector is a medical device used to automatically identify and classify cell types in the blood. This instrument usually uses optical technology, such as microscopic imaging, spectral analysis, etc., to observe and identify various cells in the blood, such as red blood cells, white blood cells (including neutrophils, lymphocytes, monocytes, eosinophils, basophils, etc.), platelets, etc.

[0003] Traditional blood cell detection methods such as flow cytometry can achieve blood cell classification, but the operation is complicated, the detection time is long, and professional equipment and personnel are required for operation, which is not conducive to fast and convenient blood cell detection.

[0004] To this end, those skilled in the art have proposed a droplet dPCR blood cell classification optical detector based on Raman spectroscopy analysis to solve the problems raised by the background technology. Utility Model Content

[0005] In order to solve the above technical problems, the utility model provides a droplet dPCR blood cell classification optical detector based on Raman spectroscopy analysis to solve the problems in the prior art such as complex operation, long detection time, need for professional equipment and personnel operation, and being not conducive to fast and convenient blood cell detection.

[0006] A droplet dPCR blood cell classification optical detector based on Raman spectroscopy analysis, comprising a detection box, the outer wall of the detection box is threadedly connected with a connecting screw, the outer wall of the detection box is also threadedly connected with a fastening screw, and the inner wall of the detection box is slidably connected with a baffle;

[0007] The detection mechanism is arranged on the inner wall of the detection box.

[0008] Preferably, the detection mechanism includes a grating, which is installed on the inner wall of one end of the detection box, an ESP module is symmetrically installed on the side of the inner wall of the detection box close to the grating, an STM32 microcontroller is installed on the inner wall of the detection box, a power supply is installed near the middle of the inner wall of the detection box, and a storage plate is installed on the inner wall of the detection box.

[0009] Preferably, a receiver is installed at one end of the inner wall of the detection box, a positive lens is installed at the bottom end of the inner wall of the detection box, and an oblique lens is installed at the top end of the inner wall of the detection box.

[0010] Preferably, the positive lenses are installed in plurality at the bottom end of the inner wall of the detection box, and the gratings are installed in two at the inner wall of the detection box.

[0011] Compared with the prior art, the utility model has the following beneficial effects:

[0012] 1. Small structure, easy to carry, suitable for blood cell testing in various occasions;

[0013] 2. The detection is fast and accurate, which can greatly shorten the detection process and improve the efficiency of blood cell detection;

[0014] 3. Not limited by space, time and environmental conditions, blood cell testing can be performed anytime and anywhere;

[0015] 4. By scanning the ID card, the test results can be synchronized in the cloud, which is convenient for data management and query. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a front view structural schematic diagram of the utility model;

[0017] Figure 2 For this utility model Figure 1 A side view schematic diagram of the structure;

[0018] Figure 3 For this utility model Figure 1 Schematic diagram of the cross-sectional structure.

[0019] In the figure: 1. Detection box; 2. Connecting screws; 3. Fastening screws; 4. Baffle; 5. Grating; 6. ESP module; 7. STM32 microcontroller; 8. Power supply; 9. Storage board; 10. Receiver; 11. Lens; 12. Oblique lens; 13. Transmitter. DETAILED DESCRIPTION

[0020] The following is a further detailed description of the implementation of the present invention in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but cannot be used to limit the scope of the present invention.

[0021] As attached Figure 1 To Attachment Figure 3 As shown:

[0022] Embodiment 1: The utility model provides a droplet dPCR blood cell classification optical detector based on Raman spectroscopy analysis, comprising a detection box 1, the outer wall of the detection box 1 is threadedly connected with a connecting screw 2, the outer wall of the detection box 1 is also threadedly connected with a fastening screw 3, and the inner wall of the detection box 1 is slidably connected with a baffle 4;

[0023] The detection mechanism is arranged on the inner wall of the detection box 1 .

[0024] The detection mechanism includes a grating 5, which is installed on the inner wall of one end of the detection box 1, an ESP module 6 is symmetrically installed on the inner wall of the detection box 1 close to the grating 5, an STM32 microcontroller 7 is installed on the inner wall of the detection box 1, a power supply 8 is installed near the middle of the inner wall of the detection box 1, and a storage plate 9 is installed on the inner wall of the detection box 1.

[0025] Specifically, by setting the power supply 8, the entire device can be powered to ensure the normal operation of the device.

[0026] A receiver 10 is installed at one end of the inner wall of the detection box 1, a positive lens 11 is installed at the bottom end of the inner wall of the detection box 1, and an oblique lens 12 is installed at the top end of the inner wall of the detection box 1. The positive lenses 11 are installed in multiple forms at the bottom end of the inner wall of the detection box 1, and the grating 5 is installed in two forms on the inner wall of the detection box 1.

[0027] Specifically, by disposing the oblique lens 12, the trajectory of the light can be changed.

[0028] As can be seen from the above, the Raman spectroscopy analysis method is used to make the droplet blood cell sample produce Raman scattering after laser irradiation; the optical path system includes a purple receiver 10, a positive lens 11, an oblique lens 12, a transmitter 13, a grating 5, etc., which are used to process the Raman scattered light; the CCD module is used to convert the optical signal into a digital signal; the STM32 microcontroller 7 is used to compare and process the data; the esp module 6 is used to send the detection results to the corresponding database; the SERS substrate is used to enhance the Raman signal and improve the detection sensitivity; the ID card scanning module is used to obtain user information and upload the results to the cloud.

[0029] The standard parts used in this utility model can be purchased from the market, and the special-shaped parts can be customized according to the description and the drawings. The specific connection methods of each part adopt the conventional means such as mature bolts, rivets, welding, etc. in the prior art. The machinery, parts and equipment all adopt the conventional models in the prior art, and the circuit connection adopts the conventional connection method in the prior art, which will not be described in detail here. The contents not described in detail in this specification belong to the prior art known to professional and technical personnel in this field.

[0030] In the description of the present utility model, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0031] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0032] In the present invention, unless otherwise clearly specified and limited, a first feature being "above" or "below" a second feature may mean that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediate medium. Moreover, a first feature being "above", "above" or "above" a second feature may mean that the first feature is directly above or obliquely above the second feature, or simply means that the first feature is higher in level than the second feature. A first feature being "below", "below" or "below" a second feature may mean that the first feature is directly below or obliquely below the second feature, or simply means that the first feature is lower in level than the second feature.

[0033] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example" or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the utility model. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in a suitable manner in any one or more embodiments or examples. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless there is a contradiction.

[0034] In the drawings of the embodiments disclosed in the present utility model, only the structures involved in the embodiments disclosed in the present utility model are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present utility model can be combined with each other.

[0035] Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art may still modify the technical solutions described in the aforementioned embodiments, or make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention shall be included in the protection scope of the present invention.

Claims

1. A droplet dPCR blood cell classification optical detector based on Raman spectroscopy analysis, characterized by: The invention comprises a detection box (1), wherein the outer wall of the detection box (1) is threadedly connected with a connecting screw (2), the outer wall of the detection box (1) is also threadedly connected with a fastening screw (3), and the inner wall of the detection box (1) is slidably connected with a baffle (4); A detection mechanism, the detection mechanism is arranged on the inner wall of a detection box (1), the detection mechanism comprises a grating (5), the grating (5) is installed on the inner wall at one end of the detection box (1), an ESP module (6) is symmetrically installed on one side of the inner wall of the detection box (1) close to the grating (5), an STM32 single-chip computer (7) is installed on the inner wall of the detection box (1), a power supply (8) is installed near the middle of the inner wall of the detection box (1), and a storage board (9) is installed on the inner wall of the detection box (1).

2. The droplet dPCR blood cell classification optical detector based on Raman spectroscopy analysis as claimed in claim 1, characterized in that: A receiver (10) is installed at one end of the inner wall of the detection box (1), a positive lens (11) is installed at the bottom end of the inner wall of the detection box (1), and an oblique lens (12) is installed at the top end of the inner wall of the detection box (1).

3. The droplet dPCR blood cell classification optical detector based on Raman spectroscopy analysis as claimed in claim 2, characterized in that: The positive lenses (11) are in the form of a plurality of lenses mounted on the bottom end of the inner side wall of the detection box (1), and the gratings (5) are in the form of two lenses mounted on the inner side wall of the detection box (1).

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