Bacteriostatic and antiviral effect detection method

Abstract

The invention discloses a method for detecting antibacterial and antiviral effects, which is suitable for detecting the antibacterial and antiviral effects of the surface of a material to be detected. The bacteriostatic and antiviral effect detection method comprises the following steps: providing a plurality of samples to be detected, the samples to be detected are made of materials to be detected, and each sample to be detected is provided with a surface to be detected; respectively coating probiotics on the to-be-detected surfaces, and detecting the to-be-detected surfaces by using an adenosine triphosphate (ATP) measuring device to generate a plurality of original values; placing the to-be-detected samples in a constant temperature environment for a first time, and detecting the to-be-detected surface by using the adenosine triphosphate measuring device to generate a plurality of first detection values; calculating a plurality of first suppression values by using the first detection values and the original values; and confirming the antibacterial and antiviral effects of the surface of the to-be-detected material according to the first detection values.

Description

Technical Field

[0001] The present invention relates to a detection method, in particular to a method for detecting antibacterial and antiviral effects. Background Art

[0002] The effectiveness of antibacterial and antiviral materials cannot be quickly confirmed through rapid screening methods, and their effectiveness must be confirmed by a third-party impartial organization. Summary of the Invention

[0003] The present invention provides a method for detecting antibacterial and antiviral effects, suitable for detecting the antibacterial and antiviral effects of a test material surface. The method comprises: providing a plurality of test samples, each of which is made from the test material and each having a test surface; applying probiotics to each of the test surfaces and using an adenosine triphosphate (ATP) measuring instrument to measure the test surface to generate a plurality of raw values; placing the test samples in a constant temperature environment for a first period of time, and then measuring the test surface using the adenosine triphosphate measuring instrument to generate a plurality of first detection values; calculating a plurality of first inhibition values ​​using the first detection values ​​and the raw values; and confirming the antibacterial and antiviral effects of the test material surface based on the first detection values.

[0004] The present invention also provides another method for detecting antibacterial and antiviral effects, which is suitable for detecting the antibacterial and antiviral effects of a surface of a material to be tested. This antibacterial and antiviral effect detection method includes: providing a plurality of test samples, each of which is made of a test material and has a test surface; dividing the test samples into a first test group and a second test group; applying probiotics on each of the test surfaces, and using an adenosine triphosphate (ATP) measuring instrument to detect the test surfaces to generate a plurality of original values; placing the test samples in the first test group in a constant temperature environment for a first time, detecting the test surfaces of the first test group using the adenosine triphosphate (ATP) measuring instrument to generate a plurality of first detection values, and calculating corresponding first inhibition values ​​using the first detection values ​​and the original values; placing the test samples in the second test group in a constant temperature environment for a second time, detecting the test surfaces of the second test group using the adenosine triphosphate (ATP) measuring instrument to generate a plurality of second detection values, and calculating corresponding second inhibition values ​​using the second detection values ​​and the original values; and confirming the antibacterial and antiviral effect of the surface of the test material based on the first inhibition values ​​and the second inhibition values.

[0005] The antibacterial and antiviral efficacy detection method provided by the present invention utilizes an ATP measuring instrument in conjunction with a special detection process to confirm the antibacterial or antiviral efficacy of the test substance in a short period of time, thereby helping to reduce detection costs and time consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0006] Figure 1 This is a flow chart of the antibacterial and antiviral effect detection method provided by the first embodiment of the present invention;

[0007] Figure 2A is a schematic diagram of a test assembly provided according to an embodiment of the present invention;

[0008] Figure 2B is a schematic diagram of a test environment provided according to an embodiment of the present invention;

[0009] Figure 2C is a schematic diagram of a test environment provided according to another embodiment of the present invention;

[0010] Figure 3 Shown Figure 1 An embodiment of step S150 in;

[0011] Figure 4 Shown Figure 3 An embodiment of step S330 in;

[0012] Figure 5 is a flow chart of a method for detecting antibacterial and antiviral effects provided in accordance with the second embodiment of the present invention;

[0013] Figure 6 is a flow chart of a method for detecting antibacterial and antiviral effects provided in accordance with the third embodiment of the present invention;

[0014] Figure 7 Shown Figure 6 An embodiment of step S650 in;

[0015] Figure 8 Shown Figure 7 An embodiment of step S740 in;

[0016] Figure 9 is a flow chart of a method for detecting antibacterial and antiviral effects according to a fourth embodiment of the present invention;

[0017] Figure 10 Shown Figure 9 Step S960 in an embodiment; and

[0018] Figure 11 Shown Figure 9 Another embodiment of step S960 in . DETAILED DESCRIPTION

[0019] The following describes specific embodiments of the present invention in more detail with reference to schematic diagrams. The advantages and features of the present invention will become more apparent from the following description and claims. It should be noted that the figures are greatly simplified and not to exact scale, and are intended solely to facilitate and clearly illustrate the embodiments of the present invention.

[0020] Figure 1 This is a flow chart of a method for detecting antibacterial and antiviral effects according to a first embodiment of the present invention. This method is suitable for detecting the antibacterial and antiviral effects of a surface of a material to be tested.

[0021] The antibacterial and antiviral effect detection method comprises the following steps.

[0022] First, as described in step S110, a plurality of test samples are provided. These test samples are made of the material to be tested, and each test sample has a test surface. In one embodiment, the test samples are cut into a square sheet. The number of test samples is three.

[0023] Subsequently, as described in step S120, probiotics are applied to each of these test surfaces, and an adenosine triphosphate (ATP) measuring instrument is used to detect the test surfaces and generate multiple raw values. The adenosine triphosphate measuring instrument uses luciferase to react with adenosine triphosphate (ATP) in the microorganisms (probiotics) to produce luminescence, and the adenosine triphosphate detection instrument is then used to calculate the number of luminescence (photons). The reading displayed by the adenosine triphosphate detection instrument is the photon concentration value, which can be used to represent the residual microbial amount. These detection technologies are existing technologies for biological detection and are not the focus of the present invention, so they will not be described in detail here.

[0024] In one embodiment, this step involves preparing a probiotic solution and applying it to the test surface via titration. In one embodiment, the probiotic is Bacillus subtilis. In one embodiment, these raw values ​​are relative absorbance values ​​(RLU) obtained by an ATP measuring instrument on the test surface.

[0025] Next, as described in step S130, after the sample is placed in a constant temperature environment for a first time, the ATP measuring instrument is used to measure the surface to be measured to generate a plurality of first detection values. In one embodiment, these first detection values ​​are relative absorbance values ​​obtained by the ATP measuring instrument when measuring the surface to be measured.

[0026] In one embodiment, the sample to be tested is prepared into a test assembly and placed in a constant temperature environment for a first period of time. Details of the preparation of the test assembly are described in the following paragraphs. Furthermore, in one embodiment, the first period of time is one hour. In one embodiment, the sample to be tested can be placed in a constant temperature box to provide a constant temperature environment.

[0027] Please refer to Figures 2A to 2C ,in, Figure 2A is a schematic diagram of a test assembly 20 provided according to an embodiment of the present invention. Figure 2B is a schematic diagram of a test environment provided according to an embodiment of the present invention. Figure 2C FIG. 4 is a schematic diagram of a test environment provided according to another embodiment of the present invention.

[0028] like Figure 2A and Figure 2B As shown, if the test object can be cut, it is cut into square slices to serve as test sample 22. Probiotics are coated on the test surface 22a of the test sample 22, and a cover sheet 24 is placed over the test surface 22a to complete the test assembly 20. In one embodiment, the test sample is a 5 cm x 5 cm square slice, and the cover sheet is a 4 cm x 4 cm square polyester film.

[0029] The test assembly 20 is placed in a culture dish 30. The culture dish 30 is covered with a glass cover 32. A glass spacer 34 and an absorbent paper pad 36 are placed beneath the test assembly 20 to ensure that the test surface 22a remains moist and that the test assembly 20 is securely positioned within the space formed by the culture dish 30 and the glass cover 32. The culture dish 30, along with the test assembly 20, is then placed in a constant temperature environment (not shown). This constant temperature environment can be, for example, an incubator.

[0030] Please refer to the aforementioned step S130 . In step S130 , the culture dish 30 and the test component 20 therein are placed in a constant temperature environment for a first period of time. Then, the sample 22 is taken out and the test surface 22 a of the sample 22 is tested using an ATP measuring instrument to generate a first test value.

[0031] like Figure 2C As shown, when the object to be tested cannot be cut, the object to be tested 42 is directly used as the test sample, and the probiotics are directly coated on the flat surface (ie, the test surface 42a) of the object to be tested 42. The cover sheet 44 covers the test surface 42a to form the test assembly 40.

[0032] Different from Figure 2B The test assembly 20 is shown placed in a culture dish 30 to maintain moisture. However, the test assembly of this embodiment is too large to fit within the culture dish 30. In this case, a glass cover 32 is placed over the test surface 42a. An absorbent paper pad 46 can be placed inside the glass cover 32 to ensure that the test surface 42a remains moist. This test assembly 40 is placed in a constant temperature environment for a first period of time. After this first period, the ATP measuring instrument is used to measure the test surface 42a of the test object 42, generating a first test value.

[0033] Then, as described in step S140, a plurality of first suppression values ​​are calculated using the first detection values ​​and the original values. For example, the first suppression value may be the difference between the original value and the first detection value divided by the original value.

[0034] Subsequently, as described in step S150, the antibacterial and antiviral effects of the surface of the test material are determined based on these first inhibition values. For example, if the first inhibition value is negative, it indicates that the material has no antibacterial and antiviral effects. If the first inhibition value is positive, that is, the original value is higher than the first detection value, it indicates that the material has an antibacterial and antiviral effect.

[0035] Figure 3 Shown Figure 1 Since the present invention uses multiple test samples for testing, in one embodiment, step S150 can confirm the antibacterial and antiviral effects of the surface of the test material according to the following calculation steps.

[0036] First, as described in step S310 , a coefficient of variation (Cv) of the original values ​​is calculated.

[0037] Then, as described in step S320 , a first suppression average value ( D1 ) of the first suppression values ​​is calculated.

[0038] Next, as described in step S330, the antibacterial and antiviral efficacy of the surface of the test material is determined based on the first average inhibition value and the coefficient of variation. For example, if the first average inhibition value (D1) is negative and the coefficient of variation (Cv) is less than a threshold, it cannot be determined that the material has an antibacterial and antiviral efficacy. If the first average inhibition value (D1) is positive and the coefficient of variation (Cv) is less than a threshold, it is determined that the material has an antibacterial and antiviral efficacy. This threshold can be, for example, 25%.

[0039] Figure 4 Shown Figure 3 An embodiment of step S330 in FIG. Figure 3 In the embodiment, a correction coefficient (QCv) is incorporated into the present embodiment to improve the judgment accuracy.

[0040] First, as described in step S410, the coefficient of variation (Cv) is added to an ideal inhibition value to generate a calibration factor (QCv). This ideal inhibition value is a pre-set value, such as 5%. A 5% ideal inhibition value roughly represents an hourly inhibition value that would achieve a 40% antibacterial and antiviral effect over ten hours.

[0041] Then, as described in step S420, the first average inhibition value (D1) is compared with the calibration coefficient (QCv) to confirm the antibacterial and antiviral effect of the surface of the tested material. For example, if the first average inhibition value (D1) is less than the calibration coefficient (QCv), it is not determined that the material has an antibacterial and antiviral effect. If the first average inhibition value (D1) is greater than the calibration coefficient (QCv), it is determined that the material has an antibacterial and antiviral effect.

[0042] Figure 5 This is a flow chart of the antibacterial and antiviral effect detection method provided by the second embodiment of the present invention. Figure 1 This embodiment further considers the situation where multiple samples are tested and the differences between the samples are too large due to defects in the preparation process. The specific description is as follows.

[0043] First, as described in step S510 , a plurality of samples to be tested are provided. The samples to be tested are all made of a material to be tested, and each sample to be tested has a surface to be tested.

[0044] Then, as described in step S520 , probiotics are coated on the test surfaces respectively, and an ATP measuring instrument is used to detect the test surfaces to generate a plurality of original values.

[0045] Next, as described in determination step S525, a determination is made as to whether the coefficient of variation of the raw values ​​is less than or equal to a threshold. If so, the process proceeds to step S530. If the coefficient of variation of the raw values ​​is greater than the threshold, the experiment fails, and the process returns to step S510 and begins again. In one embodiment, the threshold is set at 25%.

[0046] Next, as described in step S530, after the sample is placed in a constant temperature environment for a first period of time, the surface under test is measured using an ATP measuring instrument to generate a plurality of first detection values. Then, as described in step S540, a plurality of first inhibition values ​​are calculated using these first detection values ​​and the original values. Next, as described in step S550, the antibacterial and antiviral effects of the surface of the material under test are determined based on these first inhibition values.

[0047] The aforementioned steps S530 to S550 are similar to Figure 1 Steps S130 to S150 are not described in detail here.

[0048] Figure 6 This is a flow chart of the antibacterial and antiviral effect detection method provided by the third embodiment of the present invention. Figure 1 In this embodiment, a blank group is compared with the test group to provide a more accurate test result.

[0049] As shown in the figure, the antibacterial and antiviral effect detection method of this embodiment includes the following steps.

[0050] First, as described in step S610, a plurality of test samples and a plurality of blank samples are provided. These test samples are made of the material to be tested, and each test sample and each blank sample has a test surface. The blank sample is made of a control material. For example, to confirm whether the addition of silver ions to a plastic material has an antibacterial or antiviral effect, a material without silver ions can be used as the control material, and a material with silver ions can be used as the test material. These blank samples constitute a blank group, and these test samples constitute a test group. In one embodiment, the number of test samples is three, and the number of blank samples is three.

[0051] Next, as described in step S620, probiotics are coated on the test surfaces of these test samples and these blank samples respectively, and an ATP measuring instrument is used to detect the test surfaces of the test samples to generate multiple original values, and the test surfaces of the blank samples are also detected to generate multiple control original values.

[0052] Then, as described in step S630, after the sample is placed in a constant temperature environment for a first time, the ATP measuring instrument is used to detect the test surface of the sample to generate a plurality of first test values, and the test surfaces of the blank samples are detected to generate a plurality of control test values.

[0053] It is worth noting that the sample to be tested and the blank sample will be prepared in the same manner to form a test assembly as shown in the second figure, and will be placed in the same constant temperature environment for the first time.

[0054] Then, as described in step S640, a plurality of first inhibition values ​​are calculated using these first test values ​​and these original values, and a growth value (G) is calculated using these control test values ​​and these control original values. For example, the first inhibition value can be the difference between the original value and the first test value divided by the original value. A positive first inhibition value indicates an antibacterial and antiviral effect. The growth value can be the average of the difference between the control test value and the control original value of the blank samples divided by the control original value. A positive growth value indicates an increase in bacteria.

[0055] Then, as described in step S650, the antibacterial and antiviral effects of the surface of the material to be tested are confirmed based on the first inhibition values ​​and the growth values. For example, if the average value of the first inhibition values ​​is greater than the average value of the growth values, it is determined that the material has an antibacterial and antiviral effect.

[0056] Figure 7 Shown Figure 6Since the present invention uses multiple test samples for testing, in one embodiment, step S650 can confirm the antibacterial and antiviral effects of the surface of the test material according to the following calculation steps.

[0057] First, as described in step S710 , a coefficient of variation (Cv) of the original values ​​is calculated.

[0058] Next, as described in step S720 , a first suppressed average value ( D1 ) of the first detection values ​​is calculated.

[0059] Then, as described in step S730, the growth value (G) is subtracted from the first inhibition average value (D1) to generate a corrected inhibition value.

[0060] Then, as described in step S740, the antibacterial and antiviral effects of the surface of the tested material are determined based on the corrected inhibition value and the coefficient of variation. For example, if the corrected inhibition value is negative and the coefficient of variation (Cv) is less than a threshold, it cannot be determined that the material has an antibacterial and antiviral effect. If the corrected inhibition value is positive and the coefficient of variation (Cv) is less than a threshold, it is determined that the material has an antibacterial and antiviral effect. This threshold can be, for example, 25%.

[0061] Figure 8 Shown Figure 7 An embodiment of step S740 in FIG. Figure 7 In the embodiment, a correction coefficient (QCv) is incorporated into the present embodiment to improve the judgment accuracy.

[0062] First, as described in step S810, the coefficient of variation (Cv) is added to an ideal inhibition value to generate a calibration factor (QCv). This ideal inhibition value can be, for example, 5%. A 5% ideal inhibition value roughly represents an hourly inhibition value that would achieve a 40% antibacterial and antiviral effect within ten hours.

[0063] Then, as described in step S820, the corrected inhibition value is compared with the calibration coefficient (QCv) to confirm the antibacterial and antiviral effect of the surface of the tested material. For example, if the corrected inhibition value is less than the calibration coefficient (QCv), it cannot be determined that the material has an antibacterial and antiviral effect. If the corrected inhibition value is greater than the calibration coefficient (QCv), it is determined that the material has an antibacterial and antiviral effect.

[0064] Figure 9 This is a flow chart of the antibacterial and antiviral effect detection method provided by the fourth embodiment of the present invention. Figure 1 In this embodiment, the test samples are divided into a first test group and a second test group, and different placement times are set for the first test group and the second test group to determine the antibacterial and antiviral effects of the test material surface. This antibacterial and antiviral effect detection method includes the following steps.

[0065] First, as described in step S910 , a plurality of samples to be tested are provided. The samples to be tested are all made of a material to be tested, and each sample to be tested has a surface to be tested.

[0066] Next, as described in step S920, the samples to be tested are divided into a first test group and a second test group. In one embodiment, the number of samples to be tested in the first test group is three, and the number of samples to be tested in the second test group is three.

[0067] Then, as described in step S930 , probiotics are coated on the test surfaces respectively, and an ATP measuring instrument is used to detect the test surfaces to generate a plurality of original values.

[0068] Next, as described in step S940, after the first test group of test samples is placed in a constant temperature environment for a first period of time, the test surface of the first test group is measured using an ATP measuring instrument to generate a plurality of first detection values. These first detection values ​​are then combined with the original values ​​to calculate a plurality of corresponding first inhibition values. For example, the first inhibition value may be the difference between the original value and the first detection value divided by the original value.

[0069] Subsequently, as described in step S950, after the second test group of test samples is placed in a constant temperature environment for a second period of time, the test surface of the second test group is measured using an ATP measuring instrument to generate a plurality of second detection values. These second detection values ​​are then combined with the original values ​​to calculate a plurality of corresponding second inhibition values. The second period of time is longer than the first period of time. For example, the second inhibition value can be the difference between the original value and the second detection value divided by the original value. In one embodiment, the first period of time is one hour, and the second period of time is two hours.

[0070] Then, as described in step S960, the antibacterial and antiviral effects of the surface of the tested material are determined based on the first inhibition values ​​and the second inhibition values. For example, if the average value of the first inhibition values ​​is less than the average value of the second inhibition values, it is determined that the surface of the tested material has an antibacterial and antiviral effect.

[0071] Figure 10 Shown Figure 9 Since the present invention uses multiple test samples for testing, in one embodiment, step S960 can be used to determine the antibacterial and antiviral effects of the test material surface according to the following calculation steps. It is worth noting that this embodiment is particularly suitable for determining the antiviral effects of the test material.

[0072] First, as described in step S1010 , a first suppression average value ( D1 ) of the first suppression values ​​is calculated.

[0073] Then, as described in step S1020 , a second suppression average value ( D2 ) of the second suppression values ​​is calculated.

[0074] Then, as described in step S1030, the antibacterial and antiviral effects of the surface of the material to be tested are determined based on the first average inhibition value (D1) and the second average inhibition value (D2). For example, if the first average inhibition value (D1) is less than the second average inhibition value (D2), then the material is determined to have an antibacterial and antiviral effect.

[0075] Figure 11 Shown Figure 9 Another embodiment of step S960 in . Figure 10 This embodiment incorporates a calibration coefficient (QCv) to improve the accuracy of the determination. It is worth noting that this embodiment is particularly suitable for confirming the antibacterial effect of the material to be tested.

[0076] In one embodiment, step S960 may determine the antibacterial and antiviral effects of the surface of the material to be tested according to the following calculation steps.

[0077] First, as described in step S1110 , a coefficient of variation (Cv) of the original values ​​is calculated.

[0078] Next, as described in step S1120, the coefficient of variation (Cv) is added to an ideal inhibition value to generate a calibration coefficient (QCv). In one embodiment, the ideal inhibition value may be 5%.

[0079] Then, as described in step S1130 , a first suppression average value ( D1 ) of the first suppression values ​​is calculated.

[0080] Next, as described in the decision step S1140, it is confirmed whether the first suppression average value (D1) is smaller than the correction coefficient.

[0081] If the first average inhibition value (D1) is greater than or equal to the calibration coefficient (QCv), this embodiment directly uses the first inhibition value for determination. At this point, the process proceeds to step S1150, where the first average inhibition value (D1) is compared with the calibration coefficient (QCv) to confirm the antibacterial and antiviral efficacy of the surface of the tested material. For example, if the first average inhibition value (D1) is greater than the calibration coefficient (QCv), then the material is determined to have an antibacterial and antiviral efficacy.

[0082] If the first average inhibition value (D1) is less than the calibration coefficient (QCv), this embodiment further analyzes the second inhibition value. At this point, the process proceeds to step S1160 to calculate a second average inhibition value (D2) of these second inhibition values. Then, as described in step S1170, the second average inhibition value (D2) is compared with the calibration coefficient (QCv) to confirm the antibacterial and antiviral efficacy of the tested material surface. For example, if the second average inhibition value (D2) is greater than the calibration coefficient (QCv), then the material is determined to have an antibacterial and antiviral efficacy.

[0083] The antibacterial and antiviral effect detection methods and antiviral effect detection methods provided by the present invention utilize an adenosine triphosphate measuring instrument in conjunction with a special detection process to confirm the antibacterial effect or antiviral effectiveness of the test object in a short period of time, thereby helping to reduce detection costs and time consumption.

[0084] Although the present invention has been disclosed above with reference to the embodiments, they are not intended to limit the present invention. Anyone with ordinary knowledge in the technical field may make slight changes and modifications without departing from the spirit and scope of the present invention. Therefore, the scope of protection of the present invention shall be determined by the scope defined in the claims.

Claims

1. A method for detecting antibacterial and antiviral effects, suitable for detecting the antibacterial and antiviral effects of a surface of a material to be tested, characterized in that: The above-mentioned antibacterial and antiviral effect detection method includes: Providing a plurality of samples to be tested, wherein the samples to be tested are all made of the material to be tested, and each of the samples to be tested has a surface to be tested; Probiotics are applied to the test surfaces respectively, and an adenosine triphosphate (ATP) measuring instrument is used to measure the test surfaces to generate a plurality of raw values; After placing the test samples in a constant temperature environment for a first period of time, the test surface is tested using the adenosine triphosphate measuring instrument to generate a plurality of first test values; Calculating a plurality of first suppression values ​​using the first detection values ​​and the original values; and The antibacterial and antiviral effects of the surface of the material to be tested are confirmed based on the first inhibition values.

2. The method for detecting the antibacterial and antiviral effects according to claim 1, wherein: After the step of using the adenosine triphosphate measuring instrument to detect the surface to be tested and generate the above-mentioned original values, the method further includes: Covering the test surfaces with a plurality of cover sheets respectively to form a plurality of test assemblies; and The test components are placed in a culture dish to keep them moist, and the culture dish is placed in a constant temperature environment.

3. The method for detecting the antibacterial and antiviral effects according to claim 1, wherein: The number of the above-mentioned samples to be tested is three.

4. The method for detecting the antibacterial and antiviral effects according to claim 1, wherein: After the step of using the adenosine triphosphate measuring instrument to detect the surface to be tested and generate the above-mentioned original values, the method further includes: Check whether the coefficient of variation of the above raw values ​​is less than or equal to the threshold.

5. The method for detecting the antibacterial and antiviral effects according to claim 1, wherein include: Providing a blank sample, wherein the blank sample has a control surface to be tested; Applying the probiotics on the control test surface, and using the adenosine triphosphate measuring instrument to measure the control test surface to generate a control original value; After placing the blank sample in the constant temperature environment for the first time, using the ATP measuring instrument to measure the control test surface to generate a control test value; and Growth values ​​were calculated using the control raw values ​​and the control test values.

6. The method for detecting the antibacterial and antiviral effects according to claim 5, wherein: The steps of confirming the antibacterial and antiviral effects of the surface of the material to be tested based on the first inhibition values ​​include: Calculate the coefficient of variation of these raw values; Calculate the first inhibition average of the above first inhibition values; subtracting the growth value from the first inhibition mean to generate a corrected inhibition value; and The antibacterial and antiviral effects of the surface of the material to be tested are confirmed based on the corrected inhibition value and the coefficient of variation.

7. The method for detecting the antibacterial and antiviral effects according to claim 6, wherein: The steps of confirming the antibacterial and antiviral effect of the surface of the material to be tested based on the corrected inhibition value and the coefficient of variation include: Adding the coefficient of variation to the ideal inhibition value to generate a correction factor; and The corrected inhibition value is compared with the correction coefficient to confirm the antibacterial and antiviral effect of the surface of the material to be tested.

8. The method for detecting antibacterial and antiviral effects according to claim 1, wherein: The steps of confirming the antibacterial and antiviral effects of the surface of the material to be tested based on the first inhibition values ​​include: Calculate the coefficient of variation of these raw values; Calculate a first inhibition average of the first inhibition values; and The antibacterial and antiviral effect of the surface of the material to be tested is confirmed according to the first inhibition average value and the coefficient of variation.

9. The method for detecting the antibacterial and antiviral effects according to claim 8, wherein: The step of confirming the antibacterial and antiviral effect of the surface of the material to be tested based on the first inhibition average value and the coefficient of variation includes: Adding the coefficient of variation to the ideal inhibition value to generate a correction factor; and The first inhibition average value is compared with the correction coefficient to confirm the antibacterial and antiviral effect of the surface of the material to be tested.

10. The method for detecting antibacterial and antiviral effects according to claim 1, wherein: The above-mentioned probiotic is Bacillus subtilis.

11. A method for detecting antibacterial and antiviral effects, suitable for detecting the antibacterial and antiviral effects of a surface of a material to be tested, characterized in that: The above-mentioned antibacterial and antiviral effect detection method includes: Providing a plurality of samples to be tested, wherein the samples to be tested are all made of the material to be tested, and each of the samples to be tested has a surface to be tested; Dividing the above-mentioned samples into a first test group and a second test group; Probiotics are applied to the test surfaces respectively, and an adenosine triphosphate measuring instrument is used to measure the test surfaces to generate a plurality of raw values; After placing the test samples of the first test group in a constant temperature environment for a first period of time, using the adenosine triphosphate measuring instrument to measure the test surface of the first test group to generate a plurality of first detection values, and calculating corresponding first inhibition values ​​using the first detection values ​​and the original values; After placing the test samples of the second test group in the constant temperature environment for a second time, using the ATP measuring instrument to measure the test surface of the second test group to generate a plurality of second detection values, and calculating a plurality of corresponding second inhibition values ​​using the second detection values ​​and the original values; and The antibacterial and antiviral effects of the surface of the material to be tested are confirmed according to the first inhibition values ​​and the second inhibition values.

12. The method for detecting the antibacterial and antiviral effects according to claim 11, wherein: The second time is longer than the first time.

13. The method for detecting antibacterial and antiviral effects according to claim 12, wherein: The above-mentioned first time is one hour, and the above-mentioned second time is two hours.

14. The method for detecting antibacterial and antiviral effects according to claim 11, wherein: The steps of confirming the antibacterial and antiviral effects of the surface of the material to be tested based on the first inhibition values ​​and the second inhibition values ​​include: Calculate the first inhibition average of the above first inhibition values; Calculate a second inhibition average of the second inhibition values; and The antibacterial and antiviral effects of the surface of the material to be tested are confirmed according to the first inhibition average value and the second inhibition average value.

15. The method for detecting antibacterial and antiviral effects according to claim 11, wherein: The steps of confirming the antibacterial and antiviral effects of the surface of the material to be tested based on the first inhibition values ​​and the second inhibition values ​​include: Calculate the coefficient of variation of these raw values; The correction factor is generated by adding the above coefficient of variation to the ideal inhibition value; Calculating a first inhibition average of the first inhibition values, and comparing the first inhibition average with the correction coefficient to confirm the antibacterial and antiviral effect of the surface of the material to be tested; and When the first inhibition average value is less than the correction coefficient, a second inhibition average value of the second inhibition values ​​is calculated, and the second inhibition average value is compared with the correction coefficient to confirm the antibacterial and antiviral effect of the surface of the material to be tested.

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