WO2021045475A1 - Tampon de diagnostic colorimétrique, et système et procédé de quantification de matériau cible de détection l'utilisant - Google Patents

Tampon de diagnostic colorimétrique, et système et procédé de quantification de matériau cible de détection l'utilisant Download PDF

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WO2021045475A1
WO2021045475A1 PCT/KR2020/011683 KR2020011683W WO2021045475A1 WO 2021045475 A1 WO2021045475 A1 WO 2021045475A1 KR 2020011683 W KR2020011683 W KR 2020011683W WO 2021045475 A1 WO2021045475 A1 WO 2021045475A1
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image data
detection
area
guide
colorimetric
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PCT/KR2020/011683
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English (en)
Korean (ko)
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이병환
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주식회사 필메디
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/75—Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated
    • G01N21/76—Chemiluminescence; Bioluminescence
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/75—Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated
    • G01N21/77—Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated by observing the effect on a chemical indicator
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/52—Use of compounds or compositions for colorimetric, spectrophotometric or fluorometric investigation, e.g. use of reagent paper and including single- and multilayer analytical elements
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/53—Immunoassay; Biospecific binding assay; Materials therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/75—Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated
    • G01N21/77—Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated by observing the effect on a chemical indicator
    • G01N2021/7756—Sensor type
    • G01N2021/7759—Dipstick; Test strip

Definitions

  • the present invention relates to a colorimetric diagnostic pad, a system and method for quantifying a detection target substance using the same, and more particularly, to quantify a detection target substance by photographing a colorimetric diagnostic strip having a detection area using a flash light built into a smartphone. It relates to a system device and method.
  • Colorimetric analysis is an analysis method that quantifies a substance by comparing the color tone or color concentration of a substance with a standard substance.For example, in measuring the acidity of a specific solution, color change occurs due to contact with the solution ( pH) Refers to a method of determining the acidity of the solution by visually comparing the test paper with a standard color table and finding a similar color. Such colorimetric analysis has advantages in that it is easy to use and is inexpensive for analysis.
  • colorimetric analysis is a variety of colorimetric analysis test papers in various businesses, such as fermented food factory, liquor factory, wastewater management industry, aquaculture, hospital, etc., for example, acidity measurement test paper, lactic acid measurement test, water quality control test paper, urine chemical test paper Colorimetric analysis is performed using the same.
  • the colorimetric analysis method is a comparative analysis based on the color of a material to be compared, and is analyzed directly with the naked eye or using an analysis equipment capable of performing colorimetric analysis.
  • the method of analyzing colorimetric color using the naked eye of the user is that the result of the judgment is affected by the visual difference and skill level of each individual's color recognition, and when various types of test papers are used at the same time instead of one type of test paper. There is a problem in that an error such as not being able to recognize a color change is inevitable. Therefore, various colorimetric analysis equipment is used for high accuracy of results, and among them, there is a colorimetric analysis method using a smartphone.
  • An object of the present invention is to provide a diagnostic pad using a colorimetric diagnostic strip that can be diagnosed simply and quantitatively.
  • an object of the present invention is a detection target substance quantification system capable of reducing the influence of ambient light sources by the light source of the flash light by photographing a colorimetric diagnostic strip using a flash light built into a smartphone without using a separate device. And to provide a method.
  • an object of the present invention is to maintain a constant distance and angle between the smartphone and the diagnostic pad by matching the guide of the smartphone and the diagnostic pad, and by adjusting the guide of the smartphone, It is to provide a detection target substance quantification system and method capable of reducing the deviation between the liver.
  • the method for quantifying a detection target substance includes (a) the substrate 100 on which the first guide region 110 is displayed, and the substrate 210 located inside the first guide region 110 and on the substrate.
  • a diagnostic pad 10 including a colorimetric diagnostic strip 200 having a detection area 220, a display displaying a second guide area, a flash light, an image sensor, and a smartphone including an application Receiving (D), wherein the image data (D) is photographed using the image sensor while emitting the flash light while the second guide area and the first guide area 110 match,
  • the image data D includes image data D1 of the detection area 220 and image data D2 of the first guide area 110.
  • the colorimetric diagnostic pad 10 further includes a reference color table, the reference color table is located on the first guide area 110 or the colorimetric diagnostic strip 200, and includes a single or a plurality of reference colors,
  • the image data D includes image data D1 of the detection area 220 and image data D3 of the reference color table.
  • the RGB color value of the image data D1 of the detection area 220 is corrected by a correction method using the RGB color value of the image data D3 of the reference color table.
  • the correction method is one of a contrast stretching algorithm, a color constancy algorithm, a gamma correction algorithm, a gray world algorithm, a contrast conversion algorithm, and a retinex conversion algorithm. It is characterized by the above.
  • the detection area 220 is an area in which a gray value calculated by Equation 1 below of the image data D2 of the first guide area 110 among the first guide areas 110 is 150 to 175 It characterized in that it is located in.
  • R, G, and B represent a red value, a green value, and a blue value of the color table of the first guide area 110, respectively.
  • the step (b) is characterized in that the density is measured using a color difference value represented by Equation 2 below.
  • R 1 , G 1 and B 1 are the red, green, and blue values of the image data D1 of the detection area 220, respectively, and R 2 , G 2 and B 2 are respectively the These are the red, green, and blue values of the image data D2 of the first guide area 110.
  • the step (b) is characterized in that the concentration is measured using a color difference value represented by Equation 3 below.
  • R 3 , G 3 and B 3 are the red, green and blue values of the image data D3 of the reference color table, respectively, and R4, G4 and B4 are the detection corrected by the correction method, respectively. These are the red, green, and blue values of the image data D1 of the region 220.
  • the colorimetric diagnostic pad 10 includes: a substrate 100 displaying the first guide area 110; And a colorimetric diagnostic strap 200 positioned on the first guide region 110 and having a substrate 210 and a detection region 220 positioned on the substrate.
  • the first guide area 110 is characterized in that it is white.
  • the detection area 220 is located in an area of the first guide area 110 in which a gray value calculated by Equation 4 below of the image data of the first guide area 110 is 150 to 175. It is characterized by that.
  • R, G, and B represent a red value, a green value, and a blue value of the color table of the first guide area 110, respectively.
  • the colorimetric diagnostic pad 10 further includes a reference color palette, and the reference color palette is located on the first guide area 110 or the colorimetric diagnostic strip 200, and includes a single number or a plurality of reference colors. It is characterized.
  • the detection region 220 is characterized in that it contains a reactant and a chromophore.
  • the reactant is characterized in that it contains at least one of enzymes, antigens, antibodies, nucleic acids, aptamers, nanoparticles, and chemicals.
  • the chromophore is 4-aminoantipyrine (4-AAP), 3,5-dichloro-2-hydroxybenzenesulfonate (3,5-Dichloro-2-hydroxybenzenesulfonate, DHBS), Eriochrome black T (Eriochrome black T), 4-aminoantipyrine (4-AAP)/N-ethyl-N-sulfopropyl-m-toluidine (N-ethyl-N-sulfopropyl-m-toluidine, TOPS), potassium Iodine (Potassium iodide, KI), 3,3',5,5'-tetramethylbenzidine (3,3',5,5'-Tetramethylbenzidine, TMB), 3,3'-diaminobenzidine (3,3 '-Diaminobenzidine), 3-amino-9-ethylcarbazole, mesalazine (5-Aminosalicylic acid), O-phenylenedi
  • the colorimetric diagnostic pad 10 is characterized by detecting at least one of glucose, dengue virus, E-coli, lactate, cholesterol, human chorionic gonadotropin (HCG), and influenza virus.
  • the colorimetric diagnostic pad 10 is characterized by using one or more detection methods of detection through biochemical analysis, detection through immunoassay, and nucleic acid detection.
  • the detection target substance quantification system includes the substrate 100 on which the guide region 110 is displayed and the first guide region 110 and the substrate 210 and the substrate.
  • a colorimetric diagnostic pad 10 including a colorimetric diagnostic strip 200 having a detection area 220;
  • a smartphone including a display, a flash light, an image sensor, and an application, wherein a second guide area is displayed on the display, and the application corresponds to the second guide area and the first guide area 110.
  • the flash light is emitted and the image data D of the first guide area 110 photographed using the image sensor is analyzed to quantify a detection target material.
  • the image data D includes image data D1 of the detection area 220 and image data D2 of the first guide area 110.
  • the colorimetric diagnostic pad 10 further includes a reference color table, the reference color table is located on the first guide area 110 or the colorimetric diagnostic strip 200, and includes a single or a plurality of reference colors,
  • the image data D includes image data D1 of the detection area 220 and image data D3 of the reference color table.
  • the diagnostic pad of the present invention has the effect of being able to diagnose simply and quantitatively using a colorimetric diagnostic strip.
  • the detection target substance quantification system and method of the present invention does not use a separate device, and can reduce the influence of the surrounding light source by the light source of the flash light by photographing a colorimetric diagnostic strip using a flash light built into a smartphone. It works.
  • the detection target substance quantification system and method of the present invention can maintain a constant distance and angle between the smartphone and the diagnostic pad by matching the guide of the smartphone and the diagnostic pad, and constant luminance through the guide adjustment of the smartphone. There is an effect of reducing the deviation between smartphones by shooting under conditions.
  • the detection target substance quantification system and method of the present invention is photographed by avoiding direct light from the flash light, it is possible to prevent the light source of the flash light from being reflected to the liquid even if the liquid in the diagnostic strip is not dry. Diagnostic strips using components that can reflect the light source of the flashlight, such as a housing, are also effective for taking pictures.
  • FIG. 1 is a schematic diagram showing a colorimetric diagnostic pad of the present invention.
  • FIG. 2 is a schematic diagram showing the types of colorimetric diagnostic strips usable in the present invention.
  • FIG. 3 is a schematic diagram showing a paper-based diagnostic strip of the present invention.
  • FIG. 4 is a schematic diagram showing photographing a diagnostic strip using a flash light built into a smart phone in the detection target substance quantification system and method of the present invention.
  • Example 6 is an image of a diagnostic strip of Example 1, which is a result of detecting glucose by concentration through biochemical analysis.
  • Example 7 is an image of a diagnostic strip of Example 2, showing results of detection of dengue virus by concentration through immunoassay.
  • Example 8 is an image of a diagnostic strip of Example 3, showing E. coli detection results by concentration through nucleic acid detection.
  • Example 9A is a graph illustrating Example 1 under various light source conditions and showing the results in terms of density and color difference values.
  • 9B is a graph showing the results of Comparative Example 1 under various light source conditions in terms of density and color difference values.
  • Example 10A is a graph showing the results of Example 2 under various light source conditions in terms of density and color difference values.
  • 10B is a graph showing the results of Comparative Example 2 under various light source conditions in terms of density and color difference values.
  • Example 3 is a graph showing Example 3 under various light source conditions and showing the results in terms of density and color difference values.
  • 11B is a graph showing the results of Comparative Example 3 under various light source conditions in terms of density and color difference values.
  • Example 12A is a graph before correction in which Example 4 was carried out with different smartphones, and the results were expressed as density and color difference values.
  • Example 12B is a graph after correction in which Example 4 was carried out with different smartphones, and the results were expressed as density and color difference values.
  • FIG. 13 is an image of a colorimetric diagnostic pad including a reference color palette of Example 4.
  • a substrate 100 displaying the first guide region 110 and a substrate 210 and a detection region 220 positioned on a part of the first guide region 110 are provided.
  • a colorimetric diagnostic pad 10 including one colorimetric diagnostic strip 200 is provided (step a).
  • a smartphone including a display in which a second guide area is displayed on a screen when photographing, a flash light that emits light when the image data is obtained, an image sensor, and an application is provided (step b).
  • the detection region 220 is located in a region in which the gray value of the image data D2 of the substrate 100 of the first guide region 110 of the first guide region 110 is 150 to 175.
  • the position of the second guide may be manually or automatically adjusted.
  • R, G, and B are red, green, and blue values of the color table of the substrate 100 of the first guide region 110, respectively.
  • the paper in the blue dotted rectangle in FIG. 5 indicates the range in which the chromatographic paper used in the colorimetric diagnostic strip (200, color conversion paper chip) is located, and the red line coincides with the pixel (position) of the graph above. It is a dotted line that calculates the gray value, and is based on the center.
  • Point 2 of FIG. 5 is a place where the vertical light of the flash light shines (direct light), and the color by the paper chip detection reaction is not photographed by the reflection of the flash light from the paper chip that is not dried or sealed, and all comes out as white.
  • Point 1 is the place where the paper chip is located, and has a gray value between 150 and 175, avoiding the vertical light (direct light) of the flash light.
  • the paper chip is still only placed inside the pad's guide. The way the paper chip is positioned at point 1 when shooting is to change the position of the second guide, which is a guide displayed on the smartphone, up and down in the vertical direction of the screen, and the relative position (the height is fixed) between the actual paper chip and the smartphone is changed.
  • the second guide area of the display is matched with the first guide area 110 of the colorimetric diagnostic pad 10 (step c).
  • image data D of the first guide area 110 is obtained while emitting the flash light using the image sensor (step d).
  • the first guide area 110 may include the detection area 220 and the substrate 100 of the first guide area 110, and the image data D is an image of the detection area 220. It may include data D1 and image data D2 of the substrate 100 of the first guide region 110.
  • the colorimetric diagnostic pad 10 may additionally include a reference color palette, and the reference color palette may be positioned on the substrate 100 of the first guide area 110 or on the colorimetric diagnostic strip 200, A singular number or a plurality of reference colors may be included, and the image data D may include image data D1 of the detection area 220 and image data D3 of the reference color table.
  • the RGB color value of the image data D1 of the detection area 220 may be corrected by a correction method using an equation using the RGB color value of the image data D3 of the reference color table.
  • the correction method consists of a contrast stretching algorithm, a color constancy algorithm, a gamma correction algorithm, a gray world algorithm, a contrast conversion algorithm, and a retinex conversion algorithm. It may be one or more selected from the group.
  • an algorithm that includes a nonlinear equation of the RGB value can be used when there is self-evident evidence that the color under the influence of light is photographed nonlinearly.
  • gray with an RGB value of (120, 120, 120), and the intermediate color of the color conversion on a paper chip for example, if it changes from white to red, a reference color of the intermediate color is required, and the reference color is printed or other methods As a result, it may be positioned on the substrate 100 of the first guide region 110 or on the colorimetric diagnostic strip 200.
  • the error between different smartphones can be reduced by adjusting the position of the second guide of the smartphone, the error occurring can be further reduced by correcting by the above correction method.
  • the application is used to quantify the detection target substance using the image data (D) (step e).
  • Step (e) may quantify the detection target substance by measuring the concentration using the color difference value represented by Equation 2 below.
  • R 1 , G 1 and B 1 are red, green, and blue values of the image data D1 of the detection area 220, respectively,
  • R 2 , G 2, and B 2 are red, green, and blue values of the image data D2 of the substrate 100 of the first guide region 110, respectively.
  • step (e) may quantify the detection target substance by measuring the concentration using a color difference value represented by Equation 3 below.
  • R 3 , G 3 and B 3 are red, green, and blue values of the image data D3 of the reference color table, respectively,
  • R 4 , G 4, and B 4 are red, green, and blue values of the image data D1 of the detection area 220 corrected by the correction method, respectively.
  • FIG. 1 is a schematic diagram showing a colorimetric diagnostic pad of the present invention
  • FIG. 2 is a schematic diagram showing the types of colorimetric diagnostic strips usable in the present invention.
  • the present invention includes a substrate 100 displaying the first guide area 110; And a colorimetric diagnostic strip 200 positioned on a part of the first guide region 110 and having a substrate 210 and a detection region 220 positioned on the substrate. Provides.
  • a first guide area 110 may be displayed on the substrate 100.
  • the substrate 100 of the first guide region 110 may be white.
  • the colorimetric diagnostic strip 200 may be positioned on a part of the first guide region 110 and may include a substrate 210 and a detection region 220 positioned on the substrate.
  • the substrate 210 may include paper.
  • the detection region 220 may be located in a region of the first guide region 110 in which a gray value of image data of the substrate 100 of the first guide region 110 is 150 to 175.
  • R, G, and B are red, green, and blue values of the RGB color table of the substrate 100 of the first guide region 110, respectively.
  • the detection region 220 may include a reactant and a chromophore.
  • the reactant may include one or more selected from the group consisting of enzymes, antigens, antibodies, nucleic acids, aptamers, nanoparticles, and chemicals.
  • the enzyme may include one or more selected from the group consisting of glucose oxidase, peroxidase, lactate oxidase, lactate dehydrogenase, and amino acid redox enzyme.
  • the antigen may include at least one selected from the group consisting of dengue virus, E. coli, and influenza virus antigens.
  • the antibody may include one or more selected from the group consisting of an anti-dengue virus antibody, an anti-influenza virus antibody, and an anti-HIV antibody.
  • the nanoparticles may include at least one selected from the group consisting of gold nanoparticles, silver nanoparticles, copper nanoparticles, and silica nanoparticles.
  • the chemical substance may include at least one selected from the group consisting of EDTA, CuSO 4 and Phosphate.
  • the chromophore is 4-aminoantipyrine (4-AAP), 3,5-dichloro-2-hydroxybenzenesulfonate (3,5-Dichloro-2-hydroxybenzenesulfonate, DHBS), Eriochrome black T (Eriochrome black T), 4-aminoantipyrine (4-AAP)/N-ethyl-N-sulfopropyl-m-toluidine (N-ethyl-N-sulfopropyl-m-toluidine, TOPS), potassium Iodine (Potassium iodide, KI), 3,3',5,5'-tetramethylbenzidine (3,3',5,5'-Tetramethylbenzidine, TMB), 3,3'-diaminobenzidine (3,3 '-Diaminobenzidine), 3-amino-9-ethylcarbazole, mesalazine (5-Aminosalicylic acid), O-phenylenedi
  • the colorimetric diagnostic pad 10 further includes a reference color palette, and the reference color palette is positioned on the substrate 100 of the first guide area 110 or on the colorimetric diagnostic strip 200, May contain color.
  • the colorimetric diagnostic pad 10 may be for detecting one or more detection target substances selected from the group consisting of glucose, dengue virus, E-coli, lactate, cholesterol, human chorionic gonadotropin (HCG), and influenza virus. have.
  • the colorimetric diagnostic pad 10 may be for detection of at least one selected from the group consisting of detection through biochemical analysis, detection through immunoassay, and nucleic acid detection.
  • FIG. 3 is a schematic diagram showing the paper-based diagnostic strip of the present invention, and from the left is a paper-based diagnostic strip capable of detection through biochemical analysis, detection through immunoassay, and nucleic acid detection, respectively.
  • the detection target substance for biochemical analysis is glucose, and glucose oxidase, peroxidase, and 2-4-Aminoantipyrine (4-AAP), 3,5-dichloro-2-hydroxybenzesulfonate (DHBS) for color development are in the detection zone. It is built in.
  • the detection target of detection through immunoassay is the dengue virus, and an antibody bound to gold nanoparticles is embedded in the sample inlet, and another antibody is embedded in the detection section.
  • the detection target of nucleic acid detection is E.coli, and it is detected through gene amplification using the loop-mediated isothermal amplification (LAMP) method, and DNA synthase, Primer, dNTP, magnesium ion, Tris-HCl and eriochrome black for color development in the detection part t is built in.
  • LAMP loop-mediated isothermal amplification
  • FIG. 4 is a schematic diagram showing photographing a diagnostic strip using a flash light built into a smartphone in the detection target substance quantification system of the present invention.
  • the detection target material quantification system for quantifying the detection target material by obtaining image data including the detection area
  • the detection target material quantification system comprises: a substrate 100 displaying a first guide area 110, and the first A colorimetric diagnostic pad 10 positioned on a part of the guide area 110 and including a colorimetric diagnostic strip 200 including a substrate 210 and a detection area 220 positioned on the substrate; And a smartphone including a display, a flash light, an image sensor, and an application.
  • the colorimetric diagnostic pad 10 is the same as described in the colorimetric diagnostic pad of the present invention described above, and thus will be omitted.
  • Smartphones may include displays, flash lights, image sensors, and applications.
  • a second guide area may be displayed on the screen.
  • the flash light may emit light when the image data is obtained.
  • the image sensor may match the second guide area with the first guide area 110 and obtain image data D of the first guide area 100 while emitting the flash light.
  • the application may quantitatively analyze the detection target material using the image data D.
  • the first guide area may include the detection area 220 and the substrate 100 of the first guide area 110, and the image data D is the image data D1 of the detection area 220. ) And image data D2 of the substrate 100 of the first guide region 110.
  • the colorimetric diagnostic pad 10 may additionally include a reference color palette, and the reference color palette may be positioned on the substrate 100 of the first guide area 110 or on the colorimetric diagnostic strip 200, A singular number or a plurality of reference colors may be included, and the image data D may include image data D1 of the detection area 220 and image data D3 of the reference color table.
  • Example 1 Quantification of glucose through biochemical analysis under flash light imaging conditions
  • a colorimetric diagnostic pad comprising a substrate displaying a first guide area and a colorimetric diagnostic strip positioned on a part of the first guide area and having a detection area in which glucose is detected through a biochemical analysis on the substrate and the substrate Prepared.
  • the second guide area displayed on the display of the smartphone coincides with the first guide area, and the image data D1 of the detection area and the substrate of the first guide area are photographed while emitting a flash light built in the smart phone.
  • the image data (D2) of were obtained, respectively.
  • the concentration of glucose was measured using the image data (D1) and the image data (D2) using the application of the smartphone.
  • FIG. 6 is an image of a colorimetric diagnostic strip including a detection region in which glucose is detected through the biochemical analysis.
  • Colorimetric diagnosis including a substrate displaying a first guide area and a colorimetric diagnostic strip located on a part of the first guide area and having a detection area in which dengue virus is detected through an immunoassay on the base material and the base material
  • the pad was prepared.
  • the second guide area displayed on the display of the smartphone coincides with the first guide area, and the image data D1 of the detection area and the substrate of the first guide area are photographed while emitting a flash light built in the smart phone.
  • the image data (D2) of were obtained, respectively.
  • the concentration of the dengue virus was measured using the image data (D1) and the image data (D2) using the smartphone application.
  • FIG. 7 is an image of a colorimetric diagnostic strip including a detection region in which the dengue virus was detected through the immunoassay method.
  • Colorimetric method comprising a substrate displaying a first guide region and a colorimetric diagnostic strip having a detection region in which E.coli is detected through detection of a substrate and a nucleic acid positioned on the substrate, positioned on a part of the first guide region A diagnostic pad was prepared.
  • the second guide area displayed on the display of the smartphone coincides with the first guide area, and the image data D1 of the detection area and the substrate of the first guide area are photographed while emitting a flash light built in the smart phone.
  • the image data (D2) of were obtained, respectively.
  • the concentration of E. coli was measured using the image data (D1) and the image data (D2) using the smartphone application.
  • FIG. 8 is an image of a colorimetric diagnostic strip having a detection region in which E. coli is detected through the nucleic acid detection.
  • Example 4 Quantification of glucose through biochemical analysis under flash light imaging conditions using a reference color palette
  • a colorimetric diagnostic pad comprising a substrate displaying a first guide area and a colorimetric diagnostic strip positioned on a part of the first guide area and having a detection area in which glucose is detected through a biochemical analysis on the substrate and the substrate Prepared.
  • the colorimetric diagnostic pad includes white and black reference color tables.
  • the second guide area displayed on the display of the smartphone is matched with the first guide area and photographed while emitting a flash light built in the smart phone, and image data D1 of the detection area and image data of the reference color table ( D3) was obtained respectively.
  • the concentration of glucose was measured using the image data (D1) and the image data (D3) using the application of the smartphone.
  • FIG. 13 is an image of a colorimetric diagnostic pad including a detection area in which glucose is detected through the biochemical analysis.
  • Example 1 the concentration of glucose was measured in the same manner as in Example 1, except for photographing without emitting the flash instead of photographing while emitting the flash.
  • Example 2 the concentration of the dengue virus was measured in the same manner as in Example 2, except for photographing without emitting the flash instead of photographing while emitting the flash.
  • Example 3 the concentration of E. coli was measured in the same manner as in Example 3, except for photographing without emitting the flash instead of photographing while emitting the flash.
  • Test Example 1 Comparison of flash light photography and general photography under various light source conditions
  • Examples 1 to 3 which are flash light shooting conditions
  • Comparative Examples 1 to 3 which are general shooting conditions without a flash light
  • the results are shown in Figs. 9a, 9b, 10a, 10b, 11a and 11b.
  • %RSD relative standard deviation
  • Test Example 2 Before/after correction of the results taken through different smartphones
  • FIG. 13 shows an image of a colorimetric diagnostic pad including a reference color table for the correction.
  • the reference color table is located on the colorimetric diagnostic strip, it may be located on the substrate.
  • Contrast stretching is a photographing method having white and black reference values, and is an example of various correction methods and is a linear correction method.
  • white RGB 255, 255, 255
  • black (0, 0, 0)
  • Contrast stretching (RGB of the color to be corrected-black reference when shooting) / (white reference when shooting-black reference when shooting) * 255
  • the above equation can be used to determine what color the RGB to be corrected ideally has when white and black are considered as ideal white and black, respectively. Multiplying by 255 is because the maximum value of 8bit RGB is 255.By passing through the above formula, the photographed white has RGB of 0, 0, 0, and the RGB of the color to be corrected is derived by calculation. do. It has the same gray value, but it can be used when there is a difference in “color” depending on the color temperature of the ambient light, or when the original color of the paper chip cannot be photographed due to external light or between devices even in the shooting method through a flash light.
  • the RGB values are as follows, the gray values of (156, 212, 139) and (159, 210, 138) are all 169, but the RGB values may be different. Also, if RGB has the following two values as a result of photographing on a paper chip, this can be corrected by contrast stretching.
  • correction is possible through image and numerical correction, such as correction in a situation in which shooting is in progress, such as adjusting the guide position of a smartphone application, and calculation of a color difference value.
  • a typical correction method is contrast stretching ((photographed color-black)/(white-black)*255) In this case, a reference color scheme of black and white must be photographed inside the guide or on the strip.
  • the correction method through the equation is not limited to the presented method.

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Abstract

L'invention concerne un tampon de diagnostic colorimétrique, ainsi qu'un système et un procédé permettant de quantifier un matériau cible de détection à l'aide de ce dernier. Le tampon de diagnostic colorimétrique peut comprendre : un substrat (100) sur lequel une première région de guidage (110) est marquée ; et une bande de diagnostic colorimétrique (200) située à l'intérieur de la première région de guidage (110) et comprenant une base (210) et une région de détection (220) située sur la base. Le système et le procédé de quantification d'un matériau cible de détection selon la présente invention peuvent avantageusement réduire l'influence de sources de lumière ambiante par photographie à l'aide d'une lampe torche intégrée dans un téléphone intelligent sans utiliser de dispositif séparé. De plus, la distance et l'angle entre le téléphone intelligent et le tampon de diagnostic colorimétrique peuvent être maintenus constants par photographie effectuée par la mise en correspondance d'un guide du tampon de diagnostic colorimétrique avec un guide d'un téléphone intelligent, et l'écart entre téléphones intelligents peut être avantageusement réduit par photographie dans une certaine condition de luminance par réglage du guide du téléphone intelligent. En outre, même lorsqu'un liquide dans une bande de diagnostic n'a pas séché, la réflexion sur le liquide de la lumière provenant d'une source de lumière de la lampe torche peut être empêchée étant donné qu'une photographie est effectuée en évitant la lumière directe provenant de la lampe torche. De plus, il est également possible de photographier une bande de diagnostic comprenant des éléments, tels qu'un ruban d'étanchéité et un boîtier en plastique, pouvant réfléchir la lumière provenant de la source de lumière de la lampe torche.
PCT/KR2020/011683 2019-09-02 2020-09-01 Tampon de diagnostic colorimétrique, et système et procédé de quantification de matériau cible de détection l'utilisant WO2021045475A1 (fr)

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JP2015509582A (ja) * 2012-02-03 2015-03-30 ユニバーシティ・オブ・シンシナティ 比色アッセイを解析するための方法、システム、および装置
JP2015127682A (ja) * 2013-12-27 2015-07-09 スリーエム イノベイティブ プロパティズ カンパニー 分析装置、システムおよびプログラム
KR20160052442A (ko) * 2014-11-04 2016-05-12 삼성전자주식회사 생체 정보 측정 방법 및 이를 위한 장치
JP2017215337A (ja) * 2011-03-31 2017-12-07 ノバラム ディーエックス リミテッド ソフトウェアアプリケーションおよびプロセッサ
JP2018155490A (ja) * 2017-03-15 2018-10-04 大日本印刷株式会社 検査具、撮影装置、プログラム及び検査装置

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KR101684051B1 (ko) * 2015-01-07 2016-12-07 아주대학교산학협력단 It 기기를 이용한 생체 시료 정량 분석 장치
KR101886247B1 (ko) * 2016-09-21 2018-08-08 (주)파이버피아 요분석 시스템 및 그 방법

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JP2017215337A (ja) * 2011-03-31 2017-12-07 ノバラム ディーエックス リミテッド ソフトウェアアプリケーションおよびプロセッサ
JP2015509582A (ja) * 2012-02-03 2015-03-30 ユニバーシティ・オブ・シンシナティ 比色アッセイを解析するための方法、システム、および装置
JP2015127682A (ja) * 2013-12-27 2015-07-09 スリーエム イノベイティブ プロパティズ カンパニー 分析装置、システムおよびプログラム
KR20160052442A (ko) * 2014-11-04 2016-05-12 삼성전자주식회사 생체 정보 측정 방법 및 이를 위한 장치
JP2018155490A (ja) * 2017-03-15 2018-10-04 大日本印刷株式会社 検査具、撮影装置、プログラム及び検査装置

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