CN115825055A - Helicobacter pylori detection reagent and detection method - Google Patents
Helicobacter pylori detection reagent and detection method Download PDFInfo
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Abstract
The invention relates to the technical field of microbial detection, in particular to a helicobacter pylori detection reagent and a detection method, wherein the detection method comprises the following steps of S1, obtaining a detection sample and preparing an indicator; s2, mixing the detection sample with an indicator, subpackaging the mixture into different detection test tubes, and adjusting the pH values of reagents in the test tubes to different values; and S3, placing the test tube in a detector, illuminating the test tube by the illumination component, acquiring test tube image information under the illumination condition by the image acquisition component, analyzing the acquired information by the detector, determining the number of helicobacter pylori, evaluating the number of flora of the helicobacter pylori in each test tube by the detector according to the acquired information, and judging whether the acquired data are reasonable or not. According to the invention, the detection sample is prepared on site, the preparation process is simple, the detector can directly judge whether the acquired data is reasonable or not through the acquired information, and the accuracy of the detection result is ensured.
Description
Technical Field
The invention relates to the technical field of microbial detection, in particular to a helicobacter pylori detection reagent and a detection method.
Background
Helicobacter pylori is a gram-negative helicobacter bacterium present in the stomach and oral cavity of the human body, and infection of the bacterium is related to various gastrointestinal tract diseases such as gastritis, gastric ulcer, gastric cancer and the like. Most people worldwide have helicobacter pylori infection, the helicobacter pylori infection is diagnosed early, and treatment measures are taken, so that the diseases such as gastritis and gastric cancer can be effectively prevented.
The patent with publication number CN114277086A discloses a reagent for rapidly detecting helicobacter pylori, which is based on a urease method, adopts a culture medium culture test to culture the helicobacter pylori, so that urease is secreted to decompose a substrate urea to generate ammonia gas, the pH value of the ammonia gas is increased when the ammonia is dissolved in water, the color of an indicator is changed, and the helicobacter pylori in oral cavity or gastric mucosa tissues is indirectly dyed to judge whether the helicobacter pylori exists.
The current helicobacter pylori detection reagent needs to be subjected to a culture medium culture experiment firstly, the detection speed is slow, the preparation process of the reagent is complex, the cost is high, the detection result is poor in accuracy, and false positive is easy to occur.
Disclosure of Invention
Therefore, the invention provides a helicobacter pylori detection reagent and a detection method, which are used for overcoming the problems of low detection speed, complex preparation process and poor accuracy in the prior art.
In order to achieve the above object, the present invention provides a method for detecting helicobacter pylori, comprising,
step S1, obtaining a detection sample and configuring an indicator;
s2, mixing the detection sample with an indicator, subpackaging the mixture into different detection test tubes, and adjusting the pH values of reagents in the test tubes to different values;
and S3, placing the detection test tube in a detector, wherein the detector is provided with an illumination component and an image acquisition component, the illumination component illuminates the detection test tube, the image acquisition component acquires test tube image information under an illumination condition, the detector analyzes the acquired information to determine the number of helicobacter pylori, and the detector can evaluate the number of flora of helicobacter pylori in each test tube according to the acquired information and judge whether the acquired data is reasonable or not.
Further, in the step S2, dividing the mixed reagent of the detection sample and the indicator into three parts, and subpackaging the three parts into different detection test tubes, respectively marking the detection test tubes as a first test tube, a second test tube and a third test tube, and adjusting the PH value of the mixed reagent in the first test tube to be P1, the PH value of the mixed reagent in the second test tube to be P2 and the PH value of the mixed reagent in the third test tube to be P3;
a data analysis module is arranged in the detector;
in the step S3, the image capturing component captures color information of the test tubes under the illumination condition, and records that the color presented by the first test tube is H1, the color presented by the second test tube is H2, and the color presented by the third test tube is H3, and transmits the captured color information to the data analysis module, and the data analysis module respectively calculates the number of helicobacter pylori in each test tube according to the captured color information, and integrates the data to integrally calculate the number of helicobacter pylori in the detection sample.
Further, an infection color standard value Hb and an infection flora number Ab corresponding to the infection color standard value Hb are arranged in the data analysis module, the data analysis module calculates a color difference value Hi between the color Hi presented by the ith test tube and the infection color standard value Hb, and calculates the flora number Bi of helicobacter pylori in the ith test tube according to the color difference Hi, wherein i =1,2,3;
and the data analysis module calculates the flora number Bz of the detection sample according to the flora number of the helicobacter pylori in each test tube, and sets Bz = (B1 x B1+ B2 x B2+ B3 x B3) ÷ 3, wherein B1 is a calculation adjusting parameter of P1 for the flora number of the detection sample, B2 is a calculation adjusting parameter of P2 for the flora number of the detection sample, and B3 is a calculation adjusting parameter of P3 for the flora number of the detection sample.
Further, before the calculation of the color difference value, the data analysis module calculates a gray value Pi of a color Hi appearing in the ith test tube, and a gray evaluation value Pz is arranged in the data analysis module
If Pi < Pz, the data analysis module determines that the flora number of helicobacter pylori in the test tube is less than the flora number Ab;
if Pi > Pz, the data analysis module determines that the number of H.pylori flora is greater than the number of flora Ab in the test tube.
Further, the number Bi of the flora of helicobacter pylori in the test tube i of the data analysis module,
if Pi < Pz, bi = Ab-hi × β 1;
bi = Ab + hi × β 2 if Pi > Pz;
if Pi = Pz, bi = Ab;
wherein, beta 1 is a calculation compensation parameter of the aberration value to the flora number when the flora number of the helicobacter pylori in the test tube is less than the flora number Ab, beta 2 is a calculation compensation parameter of the aberration value to the flora number when the flora number of the helicobacter pylori in the test tube is greater than the flora number Ab,
further, there are two infection color standard values Hb, which are Hb1 and Hb2, respectively, the data analysis module calculates a color difference value h1i between the color Hi presented in the ith test tube and the infection color standard value Hb1 and a color difference value h2i between the color Hi presented in the ith test tube and the infection color standard value Hb2, respectively, and compares h1i with h2i,
if h1i is not more than h2i, selecting the value of h1i as the color difference value Hi between the color Hi presented by the ith test tube and the infection color standard value Hb;
and if h1i is larger than h2i, selecting the value of h2i as the color difference value Hi between the color Hi presented by the ith test tube and the infection color standard value Hb.
Further, a first gray value difference evaluation parameter C1 and a second gray value difference evaluation parameter C2 are arranged in the data analysis module,
if Pi < Pz and Pz-Pi < C1, the data analysis module determines that the i test tube does not contain helicobacter pylori;
if Pi is larger than Pz and Pi-Pz is larger than C2, the data analysis module judges that the ith test tube is polluted, the detection is invalid, and the detection sample needs to be obtained again.
Further, the data analysis module calculates the difference S of the number of the helicobacter pylori flora contained in the three test tubes, sets,
Bc=（B1+B2+B3）÷3
S=[（B1-Bc） 2 +（B2-Bc） 2 +（B3-Bc） 2 ]÷3
if S is less than or equal to SP, the data analysis module judges that the number of helicobacter pylori floras contained in the three test tubes is reasonable, and calculates the number Bz of the floras of the detection sample;
if S is larger than SP, the data analysis module judges that the number of helicobacter pylori flora in the three test tubes is unreasonable, and a detection sample needs to be obtained again;
wherein, bc is a difference degree calculation intermediate value, and SP is a difference degree evaluation value.
Further, the value of the difference degree evaluation value SP is positively correlated with the difference degree calculation intermediate value Bc, and is set,
SP = SP + Bc × Zm, wherein SP is a base value of the difference evaluation value, and Zm is a calculation compensation parameter of the difference calculation intermediate value to the difference evaluation value.
A helicobacter pylori detection reagent is applied to the helicobacter pylori detection method, and comprises an absorbent, urea and an indicator;
the absorbent is a mixed solution of potassium dihydrogen phosphate and dipotassium hydrogen phosphate, the pH value of the mixed solution is adjusted to 3.3-3.5 by strong acid and strong alkali, and the indicator is a bromocresol green indicator;
the unit component of the detection reagent is as follows: 5ml of absorbent, 0.12g to 0.18g of urea and 1 to 2 drops of indicator, wherein the concentration of the monopotassium phosphate in the absorbent is 3.3 mg/ml to 3.5 mg/ml, and the concentration of the dipotassium phosphate in the absorbent is 4.3 mg/ml to 4.5 mg/ml.
Compared with the prior art, the detection kit has the beneficial effects that the detection sample is prepared on site, the preparation process is simple, meanwhile, the number of the helicobacter pylori flora is comprehensively evaluated by subpackaging the sample into test tubes with different PH values, the detector can directly judge whether the acquired data is reasonable or not according to the acquired information, and the accuracy of the detection result is guaranteed.
Furthermore, the test tubes containing the detection samples are compared with the infected standard color to obtain the number of helicobacter pylori flora in each test tube, and the number of flora in the three test tubes is comprehensively calculated to evaluate the actual number of flora in the detection samples, so that the detection result is more accurate.
Furthermore, the chromogenic effect of the number of the helicobacter pylori flora is different under different PH conditions, and the number of the helicobacter pylori flora content in the test sample is evaluated by setting a plurality of groups of PH reagents and respectively considering the number of the helicobacter pylori flora content, so that the test result is more accurate, the error value of single test is reduced, and different detection reagents are set at the same time.
Furthermore, for the helicobacter pylori contained in the detection reagent which may be blue or green, when the detection reagent is green, the color difference value with the blue infection color standard value is larger, and the reaction value is not the actual value of the flora number, so the color difference value with the green infection color standard value is selected as the actual color difference value, and the detection reagent is blue, and the influence of different colors of the detection reagent is reduced by setting different infection color standard values, thereby further ensuring the accuracy of the detection result.
Further, the reagent has certain gray value and color, the color is still displayed when the helicobacter pylori does not exist, and when the obtained color is too light, the test tube is judged not to contain the helicobacter pylori; when the reagent is polluted, the reagent can present other colors in the test tube, so that when the obtained color is too dark, the test tube is judged to be polluted, the detection is abandoned, the detection sample needs to be obtained again, the effectiveness of the current detection is directly judged through the obtained data information, and the accuracy of the detection result is further ensured.
Furthermore, the three groups of detection reagents are used for detecting the same detection sample, when the difference degree of the three groups of samples is overlarge, the information presented by at least one group of detection sample is inaccurate, at the moment, the number of helicobacter pylori flora contained in the three test tubes is judged to be unreasonable, the detection samples need to be obtained again, and the accuracy of the detection result is further ensured.
Furthermore, the difference degree is related to the average value of the number of florae in the three test tubes, so that the accuracy of the detection result is further guaranteed.
Furthermore, the detection reagent is simple in use method, does not need to be carried out in a laboratory, and meanwhile, the method for obtaining the sample is convenient and fast, and a user only needs to operate according to the specification, so that the detection convenience is met.
Drawings
FIG. 1 is a flowchart of a helicobacter pylori detection method in the example;
FIG. 2 is a schematic diagram showing the structure of a helicobacter pylori detector in the example.
Detailed Description
In order that the objects and advantages of the invention will be more clearly understood, the invention is further described below with reference to examples; it should be understood that the specific embodiments described herein are merely illustrative of the invention and do not delimit the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only for explaining the technical principle of the present invention, and do not limit the scope of the present invention.
It should be noted that in the description of the present invention, the terms of direction or positional relationship indicated by the terms "upper", "lower", "left", "right", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings, which are only for convenience of description, and do not indicate or imply that the device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
Referring to FIG. 1, FIG. 1 is a flow chart of a helicobacter pylori detection method according to an embodiment.
The invention provides a helicobacter pylori detection method, which comprises the following steps,
step S1, obtaining a detection sample and configuring an indicator;
s2, mixing the detection sample with an indicator, subpackaging the mixture into different detection test tubes, and adjusting the pH values of reagents in the test tubes to different values;
and S3, placing the detection test tube in a detector, wherein the detector is provided with an illumination component and an image acquisition component, the illumination component illuminates the detection test tube, the image acquisition component acquires test tube image information under an illumination condition, the detector analyzes the acquired information to determine the number of helicobacter pylori, and the detector can evaluate the number of flora of helicobacter pylori in each test tube according to the acquired information and judge whether the acquired data is reasonable or not.
The detection sample is prepared on site, the preparation process is simple, the number of the helicobacter pylori flora is comprehensively evaluated by subpackaging the sample into test tubes with different PH values, and the detector can directly judge whether the acquired data is reasonable or not according to the acquired information, so that the accuracy of the detection result is guaranteed.
Specifically, in the step S2, the mixed reagent of the detection sample and the indicator is divided into three parts and is dispensed into different detection test tubes, the detection test tubes are respectively marked as a first test tube, a second test tube and a third test tube, the PH value of the mixed reagent in the first test tube is adjusted to P1, the PH value of the mixed reagent in the second test tube is adjusted to P2, and the PH value of the mixed reagent in the third test tube is adjusted to P3;
a data analysis module is arranged in the detector;
in the step S3, the image capturing component captures color information of the test tubes under the illumination condition, and records that the color presented by the first test tube is H1, the color presented by the second test tube is H2, and the color presented by the third test tube is H3, and transmits the captured color information to the data analysis module, and the data analysis module respectively calculates the number of helicobacter pylori in each test tube according to the captured color information, and integrates the data to integrally calculate the number of helicobacter pylori in the detection sample.
The test tubes containing the detection samples are compared with the infected standard color to obtain the number of helicobacter pylori flora in each test tube, and the number of flora in the three test tubes is comprehensively calculated to evaluate the actual number of flora in the detection samples, so that the detection result is more accurate.
Specifically, an infection color standard value Hb and an infection flora number Ab corresponding to the infection color standard value Hb are arranged in the data analysis module, the data analysis module calculates a color difference value Hi between a color Hi presented by the ith test tube and the infection color standard value Hb, and calculates the flora number Bi of helicobacter pylori in the ith test tube according to the color difference Hi, wherein i =1,2,3;
the data analysis module calculates the flora number Bz of the detection sample according to the flora number of the helicobacter pylori in each test tube, and sets Bz = (B1 x B1+ B2 x B2+ B3 x B3) ÷ 3, wherein B1 is a calculation regulation parameter of P1 on the flora number of the detection sample, B2 is a calculation regulation parameter of P2 on the flora number of the detection sample, and B3 is a calculation regulation parameter of P3 on the flora number of the detection sample.
The chromogenic effect of the flora number of helicobacter pylori is different under different PH conditions, and the flora number content of a detection sample is comprehensively considered by setting multiple groups of PH reagents and respectively evaluating the flora number content in the reagent, so that the detection result is more accurate, the error value of single detection is reduced, and different detection reagents are provided with different detection results.
Specifically, before performing the color difference value calculation, the data analysis module calculates the gray value Pi of the color Hi presented in the ith test tube, and a gray evaluation value Pz is arranged in the data analysis module
If Pi < Pz, the data analysis module determines that the flora number of helicobacter pylori in the test tube is less than the flora number Ab;
if Pi > Pz, the data analysis module determines that the number of H.pylori colonies in the test tube is greater than the number of colonies Ab.
Specifically, the number Bi of the flora of helicobacter pylori in the test tube i of the data analysis module,
if Pi < Pz, bi = Ab-hi × β 1;
bi = Ab + hi × β 2 if Pi > Pz;
if Pi = Pz, bi = Ab;
wherein, beta 1 is a calculation compensation parameter of the aberration value to the flora number when the flora number of the helicobacter pylori in the test tube is less than the flora number Ab, and beta 2 is a calculation compensation parameter of the aberration value to the flora number when the flora number of the helicobacter pylori in the test tube is greater than the flora number Ab.
And (3) carrying out gray level processing on the acquired image information before carrying out color difference analysis, judging whether the number of the florae in the detected sample is higher or lower than the number of the florae corresponding to the standard value of the infection color through gray level comparison, and calculating the number of the florae in the detected sample according to the color difference value after the comparison is finished.
Specifically, there are two infection color standard values Hb1 and Hb2, the data analysis module calculates a color difference value h1i between the color Hi presented in the ith test tube and the infection color standard value Hb1 and a color difference value h2i between the color Hi presented in the ith test tube and the infection color standard value Hb2, respectively, and compares h1i with h2i,
if h1i is not more than h2i, selecting the value of h1i as the color difference value Hi between the color Hi presented by the ith test tube and the infection color standard value Hb;
and if h1i is larger than h2i, selecting the value of h2i as the color difference value Hi between the color Hi presented by the ith test tube and the infection color standard value Hb.
The helicobacter pylori containing detection reagent can be blue or green, when the helicobacter pylori is green, the color difference value between the helicobacter pylori and the blue infection color standard value is larger, and the reaction value is not the actual value of the flora number, so the color difference value between the helicobacter pylori and the green infection color standard value is selected as the actual color difference value, the detection reagent is blue, the influence of different colors of the detection reagent is reduced by setting different infection color standard values, and the accuracy of the detection result is further ensured.
Specifically, a first gray value difference evaluation parameter C1 and a second gray value difference evaluation parameter C2 are arranged in the data analysis module,
if Pi < Pz and Pz-Pi < C1, the data analysis module determines that the i test tube does not contain helicobacter pylori;
if Pi is larger than Pz and Pi-Pz is larger than C2, the data analysis module judges that the ith test tube is polluted, the detection is invalid, and the detection sample needs to be obtained again.
The reagent has certain gray value and color, the color still appears when the helicobacter pylori does not exist, and when the obtained color is too light, the test tube is judged not to contain the helicobacter pylori; when the reagent is polluted, the reagent can present other colors in the test tube, so that when the obtained color is too dark, the test tube is judged to be polluted, the detection is abandoned, the detection sample needs to be obtained again, the effectiveness of the current detection is directly judged through the obtained data information, and the accuracy of the detection result is further ensured.
Specifically, the data analysis module calculates the difference S of the number of the helicobacter pylori flora contained in the three test tubes, sets,
Bc=（B1+B2+B3）÷3
S=[（B1-Bc） 2 +（B2-Bc） 2 +（B3-Bc） 2 ]÷3
if S is less than or equal to SP, the data analysis module judges that the number of helicobacter pylori floras contained in the three test tubes is reasonable, and calculates the number Bz of the floras of the detection sample;
if S is larger than SP, the data analysis module judges that the number of helicobacter pylori flora in the three test tubes is unreasonable, and a detection sample needs to be obtained again;
wherein, bc is a difference degree calculation intermediate value, and SP is a difference degree evaluation value.
The three groups of detection reagents are used for detecting the same detection sample, when the difference degree of the three groups of samples is overlarge, the information presented by at least one group of detection samples is inaccurate, at the moment, the number of helicobacter pylori flora contained in the three test tubes is judged to be unreasonable, the detection samples need to be obtained again, and the accuracy of the detection result is further guaranteed.
Specifically, the value of the difference degree evaluation value SP is positively correlated with the difference degree calculation intermediate value Bc, and is set,
SP = SP + Bc × Zm, where SP is a base value of the difference evaluation value, and Zm is a calculation compensation parameter of the difference calculation intermediate value to the difference evaluation value.
The difference degree is related to the average value of the number of florae in the three test tubes, and the accuracy of the detection result is further guaranteed.
The invention also discloses a helicobacter pylori detection reagent, which is applied to the helicobacter pylori detection method and comprises an absorbent, urea and an indicator;
the absorbent is a mixed solution of potassium dihydrogen phosphate and dipotassium hydrogen phosphate, the pH value of the mixed solution is adjusted to 3.3-3.5 by strong acid and strong alkali, and the indicator is a bromocresol green indicator;
the unit component of the detection reagent is as follows: 5ml of absorbent, 0.12g to 0.18g of urea and 1 to 2 drops of indicator, wherein the concentration of the monopotassium phosphate in the absorbent is 3.3 mg/ml to 3.5 mg/ml, and the concentration of the dipotassium phosphate in the absorbent is 4.3 mg/ml to 4.5 mg/ml.
The preparation method of the absorbent comprises the following steps: adding potassium dihydrogen phosphate and dipotassium hydrogen phosphate into a liquid preparation tank, adding distilled water, controlling the stirring speed at 200 r/min-350 r/min, controlling the temperature at 20-30 ℃, stirring for 15-30 minutes, and then adjusting the pH to 3.3-3.5 by using strong acid and strong base to obtain the absorbent.
The use method of the detection reagent comprises the following steps: gargling with 5ml of absorbent with pH value of about 3.3-3.5 for about 1 minute, spitting the absorbent into a reagent bottle containing a unit amount of urea and indicator, shaking uniformly, standing for 20 minutes, placing into a detector to observe color change, wherein the color is either green or blue, which is positive, and indicates that helicobacter pylori is contained, and the deeper the color is, the more serious the infection degree is. Gargling with 5ml of absorbent for about 1 minute ensures that the urease in the oral cavity is fully dissolved in the absorbent, and meanwhile, only using 5ml of absorbent can ensure that the concentration of the urease is not too low. The activity of the urease is high in an acid environment, and the pH value is 3.3-3.5, so that the activity of the urease can be guaranteed. Shaking up and standing for 20 minutes, and observing the color change, thereby ensuring the complete reaction of urease and urea.
The detection reagent disclosed by the invention is simple in use method, does not need to be carried out in a laboratory, and meanwhile, the sample obtaining method is convenient and fast, and a user only needs to operate according to the specification, so that the detection convenience is met.
Referring to FIG. 2, FIG. 2 is a schematic diagram of the helicobacter pylori detector of the embodiment.
The invention also discloses a helicobacter pylori detector, which comprises,
a housing 1;
the test tube placing rack 3 is arranged inside the shell 1, three placing holes for placing test tubes are arranged on the test tube placing rack, namely a first placing hole, a second placing hole and a third placing hole, a first partition plate 41 is arranged in the first placing hole and the second placing hole, a second partition plate 42 is arranged in the second placing hole and the third placing hole, and colors of the test tubes are interfered with each other when the test tubes are placed and irradiated through the partition plates;
the illumination assembly is arranged in the shell and comprises a light-emitting source 2, the light-emitting source faces the second placing hole, light emitted by the light-emitting source is split by the first semi-transparent mirror 21 and is divided into first refracted light and first transmitted light, the splitting ratio of the refracted light to the transmitted light of the first semi-transparent mirror 21 is 1; the second transmitted light directly irradiates the second cuvette, the first refracted light irradiates the first cuvette through the first reflector 22, and the second refracted light irradiates the third cuvette through the second reflector 24; the light source error in the detection process is reduced by arranging the same light source;
the image acquisition assembly 5 is divided into a first collector, a second collector and a third collector, and is used for respectively acquiring colors of the first test tube, the second test tube and the third test tube which are illuminated;
and the data analysis module is respectively connected with the illumination assembly and the image acquisition assembly and is used for analyzing the acquired color information and judging the number of florae in the sample.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can be within the protection scope of the invention.
Claims (10)
1. A helicobacter pylori detection method comprising,
step S1, obtaining a detection sample and configuring an indicator;
s2, mixing the detection sample with an indicator, subpackaging the mixture into different detection test tubes, and adjusting the pH values of reagents in the test tubes to different values;
and S3, placing the detection test tube in a detector, wherein the detector is provided with an illumination component and an image acquisition component, the illumination component illuminates the detection test tube, the image acquisition component acquires test tube image information under an illumination condition, the detector analyzes the acquired information to determine the number of helicobacter pylori, and the detector can evaluate the number of flora of helicobacter pylori in each test tube according to the acquired information and judge whether the acquired data is reasonable or not.
2. A helicobacter pylori detection method according to claim 1, wherein in said step S2, the mixed reagent obtained by mixing the test sample with the indicator is divided into three portions and dispensed into different test tubes, the test tubes are respectively designated as a first test tube, a second test tube and a third test tube, the pH of the mixed reagent in the first test tube is adjusted to P1, the pH of the mixed reagent in the second test tube is adjusted to P2, and the pH of the mixed reagent in the third test tube is adjusted to P3;
a data analysis module is arranged in the detector;
in the step S3, the image capturing component captures color information of the test tubes under the illumination condition, and records that the color presented by the first test tube is H1, the color presented by the second test tube is H2, and the color presented by the third test tube is H3, and transmits the captured color information to the data analysis module, and the data analysis module respectively calculates the number of helicobacter pylori in each test tube according to the captured color information, and integrates the data to integrally calculate the number of helicobacter pylori in the detection sample.
3. A helicobacter pylori detection method according to claim 2, wherein an infection color standard value Hb and an infection flora number Ab corresponding to the infection color standard value Hb are set in the data analysis module, the data analysis module calculates a color difference value Hi between a color Hi presented in the ith test tube and the infection color standard value Hb, and calculates a flora number Bi of helicobacter pylori in the ith test tube, i =1,2,3, based on the color difference Hi;
and the data analysis module calculates the flora number Bz of the detection sample according to the flora number of the helicobacter pylori in each test tube, and sets Bz = (B1 x B1+ B2 x B2+ B3 x B3) ÷ 3, wherein B1 is a calculation adjusting parameter of P1 for the flora number of the detection sample, B2 is a calculation adjusting parameter of P2 for the flora number of the detection sample, and B3 is a calculation adjusting parameter of P3 for the flora number of the detection sample.
4. The method according to claim 3, wherein the data analysis module calculates the gray level value Pi of the color Hi appearing in the ith test tube before the calculation of the color difference value, and the data analysis module is provided with a gray level evaluation value Pz
If Pi < Pz, the data analysis module determines that the flora number of helicobacter pylori in the test tube is less than the flora number Ab;
if Pi > Pz, the data analysis module determines that the number of H.pylori colonies in the test tube is greater than the number of colonies Ab.
5. The method of detecting helicobacter pylori according to claim 4, wherein,
the number Bi of the flora of helicobacter pylori in the test tube i of the data analysis module,
if Pi < Pz, bi = Ab-hi × β 1;
bi = Ab + hi × β 2 if Pi > Pz;
if Pi = Pz, bi = Ab;
wherein, beta 1 is a calculation compensation parameter of the color difference value to the flora number when the flora number of the helicobacter pylori in the test tube is less than the flora number Ab, and beta 2 is a calculation compensation parameter of the color difference value to the flora number when the flora number of the helicobacter pylori in the test tube is greater than the flora number Ab.
6. A helicobacter pylori detection method according to claim 4, wherein there are two types of infection color standard value Hb, hb1 and Hb2, respectively, the data analysis module calculates a color difference value h1i between the color Hi presented in the ith test tube and the infection color standard value Hb1 and a color difference value h2i between the color Hi presented in the ith test tube and the infection color standard value Hb2, respectively, and compares h1i with h2i,
if h1i is not more than h2i, selecting the value of h1i as the color difference value Hi between the color Hi presented by the ith test tube and the infection color standard value Hb;
and if h1i is larger than h2i, selecting the value of h2i as the color difference value Hi between the color Hi presented by the ith test tube and the infection color standard value Hb.
7. The method of detecting helicobacter pylori according to claim 4,
a first gray value difference evaluation parameter C1 and a second gray value difference evaluation parameter C2 are arranged in the data analysis module,
if Pi < Pz and Pz-Pi < C1, the data analysis module judges that the i test tube does not contain the helicobacter pylori;
if Pi is larger than Pz and Pi-Pz is larger than C2, the data analysis module judges that the ith test tube is polluted, the detection is invalid, and the detection sample needs to be obtained again.
8. The method of detecting helicobacter pylori according to claim 7, wherein,
the data analysis module calculates the difference degree S of the number of the helicobacter pylori flora contained in the three test tubes, sets,
Bc=（B1+B2+B3）÷3
S=[（B1-Bc） 2 +（B2-Bc） 2 +（B3-Bc） 2 ]÷3
if S is less than or equal to SP, the data analysis module judges that the number of helicobacter pylori flora contained in the three test tubes is reasonable, and calculates the number Bz of the flora of the detection sample;
if S is larger than SP, the data analysis module judges that the number of helicobacter pylori flora in the three test tubes is unreasonable, and a detection sample needs to be obtained again;
wherein, bc is a difference degree calculation intermediate value, and SP is a difference degree evaluation value.
9. The method of detecting helicobacter pylori according to claim 8,
the numerical value of the difference degree evaluation value SP is positively correlated with the difference degree calculation intermediate value Bc, and is set,
SP = SP + Bc × Zm, where SP is a base value of the difference evaluation value, and Zm is a calculation compensation parameter of the difference calculation intermediate value to the difference evaluation value.
10. A helicobacter pylori detection reagent for use in the helicobacter pylori detection method according to any one of claims 1 to 9, comprising an absorbent, urea and an indicator;
the absorbent is a mixed solution of potassium dihydrogen phosphate and dipotassium hydrogen phosphate, the pH value of the mixed solution is adjusted to 3.3-3.5 by strong acid and strong alkali, and the indicator is a bromocresol green indicator;
the unit component of the detection reagent is as follows: 5ml of absorbent, 0.12g to 0.18g of urea and 1 to 2 drops of indicator, wherein the concentration of the monopotassium phosphate in the absorbent is 3.3 mg/ml to 3.5 mg/ml, and the concentration of the dipotassium phosphate in the absorbent is 4.3 mg/ml to 4.5 mg/ml.
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