Method and apparatus for measuring concentration of antimicrobial agent on fabric, and method and apparatus for estimating antimicrobial efficacy

Abstract

There is a very good linear relationship between the absorptivity (A) of a fabric sample to UV-Vis light and the surface concentration C of an antimicrobial agent on the fabric sample. On this basis, provided in the present invention is a method for estimating antimicrobial efficacy of a fabric sample, the method comprising: preparing antimicrobial agents of different concentrations (C), and respectively applying the antimicrobial agents to different fabric sheets to obtain fabric samples; measuring the absorptivity (A) of the fabric samples to radiation of a certain wavelength; measuring antimicrobial rates (y) of the fabric samples, to which the antimicrobial agents of different concentrations (C) are applied, against a certain microorganism; and fitting the antimicrobial rates (y) of the fabric samples and the absorptivity (A) of the fabric samples to radiation of a certain wavelength, so as to obtain a relationship between the antimicrobial rates (y) and the absorptivity (A) of the fabric samples to radiation of the wavelength, wherein the antimicrobial rate (y) of the fabric sample to be tested can be calculated by using the relationship between the antimicrobial rates (y) and the absorptivity (A) of the fabric samples to radiation of the wavelength and on the basis of the absorptivity (A1) of the fabric sample to be tested to radiation of the wavelength.

Description

Method and apparatus for detecting the concentration of antimicrobial agents on fabrics and estimating their antimicrobial efficacy Technical Field

[0001] This invention relates to a method and apparatus for detecting and estimating the antimicrobial efficacy of an antimicrobial agent, and more particularly to a method and apparatus for detecting the concentration of an antimicrobial agent on a fabric and predicting its antimicrobial efficacy. Background Technology

[0002] Harmful microorganisms such as Escherichia coli (E. coli), Staphylococcus aureus, and viruses can cause various infections and spread diseases, posing a serious threat to human health and public safety. Adding antimicrobial agents to textiles is a common antimicrobial method, endowing textiles with excellent antimicrobial properties. Antimicrobial textiles with antimicrobial functions play a crucial role in controlling the spread and infection of harmful microorganisms, especially in the context of the recent global COVID-19 pandemic. Timely and accurate detection of antimicrobial substances on antimicrobial textiles is of great value for the industrial production and use of antimicrobial textiles. The antimicrobial effect of textiles is closely related to the concentration of antimicrobial agents. Therefore, to rapidly and accurately estimate the antimicrobial performance of textiles, it is necessary to develop a method and device for instantaneous concentration detection of antimicrobial agents.

[0003] Currently, rapid testing devices / systems for microorganisms or active materials mainly include microscopic imaging (patent number: AU2015243006B2), microfluidic flow systems (patent numbers: JP6700173B2; AU2019333099A1), biosensors or bioassays (patent numbers: US9657327B2; US20220074936A1), fluorescence (patent number: JP2019188162A; US8828680B2), and UV-Vis spectroscopy devices (patent number: CN105424631B). An automated system with a robotic arm and electronic data acquisition and processing devices has also emerged (patent number: JP2021103172A). However, in the prior art, methods based on microscopes and biosensors are highly dependent on specific bioidentifiers and typically require culturing or growing microorganisms / cells, which is time-consuming. Miniaturized microfluidic systems can be customized to meet the needs of different cell types, reducing reagent consumption and contamination risks. However, the design and fabrication of microchannels are often complex, and they are prone to deformation or blockage during use. Therefore, there is a need for a device and method that can easily and rapidly detect the concentration of active materials and accurately assess their antibacterial / antiviral properties.

[0004] Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention proposes a rapid testing system based on UV-Vis spectroscopy. This system features an automated sampling system and correlates antibacterial performance with UV-Vis absorbance. Once the absorbance of the sample is obtained, the antibacterial rate of textiles with added antibacterial agents can be predicted. Rapid UV-Vis spectroscopy measurements can replace the high-cost, time-consuming, and complex antibacterial testing methods of existing technologies.

[0006] This invention provides a rapid testing system for measuring the effective concentration of antibacterial agents on the surface of textiles. The system comprises an automated sample introduction system, a UV-Vis testing system, and a data analysis model to predict the antibacterial properties of the fabric.

[0007] According to some embodiments of the present invention, a method for estimating the antibacterial efficacy of a fabric sample is provided, comprising: preparing multiple fabric pieces (small pieces of fabric); preparing antibacterial agent solutions of different concentrations (C), and applying the antibacterial agent solutions of different concentrations (C) to different fabric pieces to obtain fabric samples; measuring the absorptivity (A) of each fabric sample to radiation of a certain wavelength; measuring the antibacterial rate (y) of the fabric samples treated with antibacterial agents of different concentrations (C) against a certain microorganism; and fitting the antibacterial rate (y) of the fabric samples to the absorptivity (A) of each fabric sample to radiation of a certain wavelength to obtain a relationship between the antibacterial rate (y) and the absorptivity (A) of the fabric samples to radiation of the said wavelength, wherein, using the relationship between the antibacterial rate (y) and the absorptivity (A) of the fabric samples to radiation of the said wavelength, the antibacterial rate (y) applied to other fabric samples can be calculated based on the absorptivity (A1) of the fabric sample to be tested to radiation of the said wavelength.

[0008] According to some improved embodiments of the present invention, the method for estimating the antimicrobial efficacy of a fabric sample further includes: fitting the respective concentrations (C) of the antimicrobial agent to the absorptivity (A) of each fabric sample to radiation at a certain wavelength to obtain a relationship between the concentration (C) of the antimicrobial agent and the absorptivity (A) of the fabric sample to radiation at the wavelength; wherein, by using the relationship between the concentration (C) of the antimicrobial agent and the absorptivity (A) of the fabric sample to radiation at the wavelength, the concentration (C1) of the antimicrobial agent applied to the fabric sample to be tested can be calculated based on the absorptivity (A1) of other fabric samples to radiation at the wavelength.

[0009] According to some embodiments of the present invention, an apparatus for estimating the antibacterial efficacy of a fabric sample is provided. The apparatus includes: a processor; a storage device storing a relationship between the absorbance (A) of a fabric sample to radiation of a certain wavelength and its antibacterial rate (y), fitted according to the method described in the present invention, and / or a relationship between the absorbance (A) of the fabric sample to radiation of the stated wavelength and the concentration (C) of an antibacterial agent; the apparatus further includes an input device through which a user can input the absorbance (A1) of the fabric sample to be tested to radiation of the stated wavelength; and a display device; wherein the processor is capable of calculating the antibacterial rate (y) of the fabric sample to be tested from the absorbance (A1) of the fabric sample to be tested to radiation of the stated wavelength, based on the relationship between the absorbance (A) of the fabric sample to radiation of the stated wavelength and its antibacterial rate (y) stored in the storage device.

[0010] This invention enables continuous and rapid measurement of samples. The antibacterial activity of a sample can be directly estimated without time-consuming antibacterial experiments. This method can also be extended to rapid measurements of other material systems.

[0011] The rapid testing system of this invention can be applied to the real-time quality control of antimicrobial textiles and personal protective equipment (PPE) in large-scale production. The system can also be extended to the measurement of other soluble active materials with corresponding concentration-UV-Vis absorption properties. Attached Figure Description

[0012] The various embodiments of the present invention will now be described in detail with reference to the accompanying drawings, which include:

[0013] Figure 1A is a photograph showing the antibacterial effect of different concentrations of antibacterial agent solutions on Escherichia coli (E. coli) on fabric in one example;

[0014] Figure 1B shows the amount of antimicrobial agent (OMF) applied and the antimicrobial rate corresponding to the six fabric samples in the example described in Figure 1A;

[0015] Figure 2 is a graph showing the relationship between the concentration of PLAO-Na solution and the absorption rate of 220 nm radiation of the fabric to which the solution was applied, according to an example of the present invention.

[0016] Figure 3 is a graph showing the relationship between antibacterial rate and fabric OMF according to an example of the present invention;

[0017] Figure 4 is a flowchart of testing the concentration of antibacterial agent on a fabric sample according to an embodiment of the present invention;

[0018] Figure 5 is a schematic diagram of an apparatus for estimating the antibacterial efficacy of a fabric sample according to an embodiment of the present invention;

[0019] Figure 6 is an example of a mobile phone interface that calculates anti-E. coli performance based on the input UV-Vis absorption rate according to an embodiment of the present invention;

[0020] Figure 7 is another example of a mobile phone interface that calculates anti-E. coli performance based on the input UV-Vis absorption rate according to an embodiment of the present invention. Detailed Implementation

[0021] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below through embodiments and in conjunction with the accompanying drawings. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0022] This invention describes a rapid testing system for the surface concentration of antimicrobial agents, and a corresponding theoretical model for predicting antimicrobial properties. An automated sampling system facilitates continuous and rapid measurement of effective surface concentration. The model integrates the correlation between UV-Vis absorbance and antimicrobial activity, forming a rapid testing method.

[0023] According to one aspect of the invention, a UV-Vis test is performed on a fabric to which an antimicrobial agent has been applied to obtain the absorption rate of the fabric to UV-Vis irradiation, and the amount of antimicrobial agent applied to the fabric is estimated based on the absorption rate of the fabric to UV-Vis irradiation, and then the antimicrobial performance of the fabric with antimicrobial agent is estimated based on the obtained amount of antimicrobial agent applied.

[0024] First, an example will be used to illustrate the relationship between the dosage / concentration of the antibacterial agent, its antibacterial properties, and its UV-Vis absorption rate, as discovered by the inventors of this invention.

[0025] The antibacterial agent used in this example was sodium polylactic acid oligomer (PLAO-Na). PLAO-Na was dissolved in water at a concentration of 0.50 g / mL and a pH of 5.02. The fabric sample (spunlace nonwoven fabric) was treated with an antibacterial coating method. The standard sample for UV-Vis testing was a circular sample with a diameter of 4.8 ± 0.1 cm. The weight fraction (OMF) of PLAO-Na applied to the fabric sample relative to the fabric (after complete evaporation of moisture) was calculated using the following equation: OMF = (W1 - W0) / W0, (1)

[0026] Where W0 is the weight of the fabric before coating with PLAO-Na solution, and W1 is the weight of the fabric after coating with PLAO-Na solution and allowing all the moisture to evaporate. The fabric is immersed in an appropriate volume of deionized water to extract the effective components from the fabric surface. The extracted fabric solution is then placed in a test tube for UV-Vis measurement. The absorbance of the fabric sample at a wavelength of 220 nm is collected for subsequent comparison. In other examples, the applicant measured the absorbance of fabric samples coated with different concentrations of PLAO-Na solution and dried for wavelengths ranging from 190 nm to 400 nm, finding that the maximum absorption wavelength of most samples was around 220 nm. Therefore, in this invention, it is preferable to measure the absorbance at 220 nm to minimize errors and maintain the accuracy of the results.

[0027] In the example described, six fabric pieces (circular samples with a diameter of 4.8 ± 0.1 cm) were used, and different concentrations of the antibacterial agent PLAO-Na solution were applied to these six fabric pieces to obtain six fabric samples. Table 1 lists the corresponding data.

[0028] Table 1. Typical data of PLAO-Na in fabric samples

[0029] Using *Escherichia coli* (ATCC No. 8739) as a Gram-negative bacterium, the antimicrobial properties of fabric samples treated with different concentrations of PLAO-Na were investigated according to standard AATCC-100. The microorganisms were cultured overnight in broth liquid medium (LB) at 37°C, and then diluted with PBS to approximately 10⁻⁶. 5 CFU / ml. 1 mL of the microbial solution was completely absorbed onto the fabric and co-cultured for 24 hours. Microorganisms cultured in the absence of pure fabric served as a negative control (or control group). The microbial solution was then diluted to 10... 2 The concentration of CFU / ml was spread on solid agar plates and incubated at 37°C for 18 or 48 hours. The results are shown in Figures 1A and 1B.

[0030] Figure 1A shows photographs of the antibacterial effects of different concentrations of antimicrobial agents on Escherichia coli (E. coli) on fabrics in the example described above. The leftmost photograph shows E. coli cultured without any antimicrobial agent applied, serving as a control group. The other six photographs show the antimicrobial effects of six fabric samples with antimicrobial agents applied. The concentration of antimicrobial agent applied to the six fabric samples from left to right (2nd to 7th) increases sequentially. It can be seen that as the concentration of antimicrobial agent applied to the fabric samples increases, the number of E. coli remaining on the fabric samples gradually decreases until it reaches zero (rightmost sample).

[0031] Figure 1B shows the amount of antimicrobial agent (OMF) applied to the six fabric samples in the example described in Figure 1A and the corresponding antimicrobial rate y, where the antimicrobial rate y is calculated as follows: y = (number of colonies in the control group - number of colonies in the experimental group) / number of colonies in the control group × 100% (2)

[0032] For the example shown in Figure 1, the “colony count in the experimental group” in equation (2) refers to the colony count of each fabric sample in the six photos on the right side of Figure 1A. The inventors of this invention measured the UV-Vis light absorption of fabric samples with different surface concentrations (C, i.e., the mass of antibacterial agent on a fixed area of ​​fabric) to obtain the UV-Vis light absorption rate (A) of each fabric sample. Through regression analysis of the data, the following equation was obtained: A = 0.4496C (R 2 > 0.99) (3)

[0033] Among them, R 2 The coefficient of determination (R²) measures how well a regression model fits the data. 2 The closer the value is to 1, the better the fit. It is evident that the UV-Vis light absorption rate A of the fabric sample has a very good linear relationship with the surface concentration C of the antibacterial agent on the fabric sample.

[0034] Figure 2 is a graph showing the relationship between the concentration of PLAO-Na solution applied to a fabric sample and the UV-Vis absorbance of the fabric sample at 220 nm, according to an example of the present invention. As can be seen from the graph, the data exhibit a good linear relationship. With the increase of the PLAO-Na solution concentration applied to the fabric sample, the UV-Vis absorbance of the sample increases linearly. Based on this one-to-one correspondence between the concentration of the antibacterial agent and the UV-Vis absorbance of the fabric sample, the present invention uses the UV-Vis absorbance of the fabric sample pair to estimate the amount of antibacterial agent applied to the fabric sample, and thus to estimate the antibacterial effect of the fabric sample.

[0035] In the predictive models according to some embodiments of the present invention, the data used are derived from laboratory test samples specifically designed to obtain accurate measurements of fabric OMF and anti-E. coli ratios. Multinomial regression analysis is performed using the LMS (Least Mean Square) algorithm. The selection criterion for estimating model performance remains R². 2 (Determination coefficient). As a result, the cubic function was determined to be the most suitable mathematical representation: y = 0.00128x 3 -0.14474x 2 +5.4015x+32.229 (4)

[0036] Here, x is the OMF of the fabric sample, and y is its resistance to E. coli (or, resistance to E. coli).

[0037] Figure 3 shows the data on the resistance to E. coli for different OMFs, and the curve obtained from mathematical regression analysis (Equation (4)). It can be seen that as the OMF increases, the resistance to E. coli of the fabric sample increases accordingly, gradually approaching 100%. Note that any fitting method known to those skilled in the art can be used to fit the data to obtain Equation (4) or a similar equation.

[0038] The source data here were obtained from laboratory test samples, used for collecting absorbance at 220 nm and measuring PLAO-Na solution concentration. According to the Lambert-Beer law, linear relationships are considered applicable to low solution concentrations. Linear regression analysis was performed using the Least Mean Square (LMS) algorithm, and the coefficient of determination (R²) was calculated. 2 Here, the source data comes from laboratory test samples specifically used to measure sample weight, using a predetermined standard circular sample size of 4.8 cm in diameter. According to statistical analysis, the probability that the weight of the fabric sample is in the range of 80.8 mg to 87.9 mg is 68%. In the modeling process of some embodiments of the present invention, a conservative estimate of the fabric sample weight is 87.9 mg.

[0039] A fabric sample with a conservatively estimated weight of 87.9 mg was selected for further analysis. A dilution procedure using 20 ml of water was performed to prepare the fabric sample solution. The solution was tested using a rapid testing machine, and the absorbance at 220 nm was recorded. The obtained data were fitted, and the relationship between the absorbance at 220 nm and the anti-E. coli ratio was expressed as the equation: y = 197.178A 3 -426.476A 2 +304.572A+26.934 (5)

[0040] Where A is the absorption rate of the fabric sample to electromagnetic waves with a wavelength of 220 nm, and y is the anti-E. coli rate. Equations (4) and (5) are consistent, both being cubic equations. The independent variable A (absorption rate to UV-Vis) in equation (5) is linearly correlated with the independent variable x (OMF of the fabric sample, which is positively correlated with the concentration C of PLAO-Na solution) in equation (4) (see equation (3)).

[0041] Furthermore, by combining equations (3) and (5), the relationship between the anti-Escherichia coli rate y and the PLAO-Na solution concentration C can be easily obtained.

[0042] While the examples above describe the use of PLAO-Na as an antibacterial agent against Escherichia coli, the present invention is not limited thereto. The present invention is also applicable to other antibacterial agents for treating other pathogens or viruses. Furthermore, while the examples above describe the absorptivity of fabric samples to radiation at 220 nm, the present invention is not limited thereto, and the absorptivity of fabric samples to radiation at other wavelengths can also be measured.

[0043] According to some embodiments of the present invention, a method is provided for testing the concentration of an antimicrobial agent (or OMF) on a fabric sample and thus estimating its antimicrobial properties. Figure 4 shows a flowchart of testing the concentration of an antimicrobial agent on a fabric sample according to some embodiments of the present invention. The method 400 for testing the concentration of an antimicrobial agent on a fabric sample is described below with reference to Figure 4.

[0044] In step S410, multiple fabric pieces of predetermined size, i.e., small pieces of fabric, are prepared. In step S420, antibacterial agents of different concentrations (C) are prepared and applied to different fabric pieces respectively, thereby obtaining multiple fabric samples. In step S430, UV-Vis radiation tests are performed on each fabric sample to obtain the UV-Vis absorption rate A of each fabric sample. This step includes immersing the fabric sample in a certain volume of liquid to obtain a fabric extract containing the effective components on the fabric surface, and then placing the fabric extract in a test tube to measure its UV-Vis absorption rate. The liquid may be deionized water. In step S440, the antibacterial agent concentration C and the UV-Vis absorption rate A data are fitted to obtain the relationship between the UV-Vis absorption rate A and the antibacterial agent concentration C. The fitting may be a linear fitting or any fitting method known in the art. In some embodiments, the fitted relationship between the UV-Vis absorption rate A and the antibacterial agent concentration C of the fabric sample is stored in a storage device (shown in Figure 5).

[0045] In step S450, the UV-Vis absorption rate A1 of the fabric sample to be tested is received (this data can be input by the user); in step S460, the concentration of antibacterial agent C1 applied to the fabric sample to be tested is calculated based on the UV-Vis absorption rate A1 obtained in step S440 and the antibacterial agent concentration C.

[0046] In another variant embodiment, a method is provided to test the concentration of an antimicrobial agent (or OMF) on a fabric sample and thus estimate its antimicrobial performance. This method differs from the method shown in Figure 4 in that, before step S440, an additional step is added: analyzing the anti-E. coli rate y of each fabric sample. Then, in step S440, instead of fitting the antimicrobial agent concentration C to the UV-Vis absorption rate A, the anti-E. coli rate y is fitted to the UV-Vis absorption rate A to obtain the relationship between the UV-Vis absorption rate A and the anti-E. coli rate y. And in step S460, the anti-E. coli rate y of the tested fabric sample is calculated.

[0047] In another aspect, the present invention provides an apparatus 500 for calculating the concentration of an antimicrobial agent on a fabric and estimating its antimicrobial efficacy. The apparatus 500 includes a processor 510 and a storage device 520, wherein the storage device 520 stores the relationship between the UV-Vis absorption rate A of a fabric sample and the antimicrobial agent concentration C, obtained by fitting the process described in FIG4, and / or the relationship between the UV-Vis absorption rate A of the fabric sample and the anti-E. coli rate y. The apparatus 500 also includes an input device 530, through which a user can input the UV-Vis absorption rate A1 of a fabric sample to be tested. The processor 510 calculates the antimicrobial agent concentration C or the anti-E. coli rate y of the fabric sample to be tested based on the UV-Vis absorption rate A1 of the fabric sample stored in the storage device 520. The device 500 also includes a display device 540, which is capable of displaying the calculation results of the processor 510.

[0048] In one embodiment, the input device 530 is a touch screen, and the touch screen and the display device 540 may be the same device.

[0049] In one embodiment, the device 500 is a mobile phone.

[0050] To evaluate the effectiveness of the method of the present invention, five samples were prepared and tested. The calculation results for four of the five samples were correct. The accuracy rate of the estimation results of the method of the present invention reached 80%, as shown in Table 2.

[0051] Table 2 shows that the evaluation model's prediction accuracy reached 80%.

[0052] In the table above, the measured anti-E. coli rate of the third sample was outside the predicted range (i.e., 87±4) 97% of the time, therefore the estimate for this case was deemed incorrect. The predicted results for the other four samples were consistent with the measured values ​​and were correct.

[0053] The inventors of this invention have developed an application called "Antimicrobial Assessment." This application allows users to input measurement data of the absorbance of a sample to 220 nm irradiation using a specified machine. After clicking the "Calculate" button, the application calculates and displays the final estimated result, including the non-antimicrobial (E. coli) component, the antimicrobial (E. coli) component, and the estimated antimicrobial rate. If the anti-E. coli rate drops below 70%, the obtained result indicates that the anti-E. coli property is "non-antimicrobial." Conversely, if the anti-E. coli rate is equal to or greater than 99%, the result indicates an effective anti-E. coli characteristic with a 99% anti-E. coli rate. In all other cases, the obtained result indicates effective anti-E. coli characteristics, and also displays the anti-E. coli rate and the corresponding estimated range.

[0054] Figures 6 and 7 show two examples of screenshots of the calculation of antimicrobial efficacy on fabrics using device 500.

[0055] In Figure 6, the user inputs the absorbance of the fabric sample at 220 nm as 0.182au via the touchscreen. After pressing the "Calculate" button, the device 500 uses the relationship between the absorbance A of the fabric sample against UV-Vis and the anti-E. coli rate y stored therein to calculate the anti-E. coli rate of the fabric sample based on the absorbance of 0.182au input by the user. As shown in the figure, in this example, since the absorbance is low, the calculation result is "not antibacterial".

[0056] Similarly, in Figure 7, the user inputs the absorbance of the fabric sample at 220 nm as 0.428au via the touchscreen. After pressing the "Calculate" button, the device 500 uses the relationship between the absorbance A of the fabric sample against UV-Vis and the anti-E. coli rate y stored therein to calculate the anti-E. coli rate of the fabric sample from the user-input absorbance of 0.428au. As shown in the figure, in this example, the calculation result is "effective", and the anti-E. coli rate is 95% ± 3. Beneficial effects

[0057] 1. This invention establishes the correlation between UV-Vis absorption and antimicrobial activity, eliminating the need for traditional antimicrobial experiments and thus avoiding time-consuming and labor-intensive traditional antimicrobial experiments.

[0058] 2. The rapid detection device enables continuous and automated measurement, making it suitable for real-time or dynamic monitoring. This is crucial for quality control in the large-scale production of antimicrobial textiles.

[0059] 3. The prediction model of this invention is a cubic function, which is fast to calculate, has low computational cost, and is suitable for cloud computing.

[0060] Although the present invention has been described through specific embodiments, those skilled in the art will understand that various changes and equivalent substitutions can be made to the invention without departing from its scope. Furthermore, various modifications can be made to the invention for specific situations or materials without departing from its scope. Therefore, the present invention is not limited to the specific embodiments disclosed, but should include all embodiments falling within the scope of the claims.

Claims

1. A method for estimating the antibacterial efficacy of a fabric sample, comprising: preparing a plurality of fabric pieces; preparing an antibacterial agent in different concentrations (C) and applying the antibacterial agent in different concentrations (C) to different fabric pieces to obtain fabric samples; measuring the absorbance (A) of each fabric sample to radiation of a wavelength; measuring the antibacterial rate (y) of the fabric samples to which the antibacterial agent in different concentrations (C) is applied to a certain microorganism; and fitting the antibacterial rate (y) of the fabric samples to the absorbance (A) of each fabric sample to radiation of a wavelength to obtain a relationship between the antibacterial rate (y) and the absorbance (A) of the fabric sample to radiation of the wavelength, wherein the antibacterial rate (y) of a fabric sample to be detected can be calculated based on the absorbance (A1) of the fabric sample to radiation of the wavelength using the relationship between the antibacterial rate (y) and the absorbance (A) of the fabric sample to radiation of the wavelength.

2. The method for estimating the antibacterial efficacy of a fabric sample according to claim 1, further comprising: fitting each of the concentrations (C) of the antibacterial agent to the absorbance (A) of each fabric sample to radiation of a wavelength to obtain a relationship between the concentration (C) of the antibacterial agent and the absorbance (A) of the fabric sample to radiation of the wavelength; wherein the concentration (C1) of the antibacterial agent applied to a fabric sample to be detected can be calculated based on the absorbance (A1) of the fabric sample to radiation of the wavelength using the relationship between the concentration (C) of the antibacterial agent and the absorbance (A) of the fabric sample to radiation of the wavelength.

3. The method for estimating the antibacterial efficacy of a fabric sample according to claim 1, wherein the antibacterial agent is a PLAO-Na solution, and the certain microorganism is E. coli.

4. The method for estimating the antibacterial efficacy of a fabric sample according to claim 1, wherein the relationship between the antibacterial rate (y) and the absorbance (A) of the fabric sample to radiation of the wavelength obtained by fitting is a cubic function of the absorbance (A).

5. The method for estimating the antibacterial efficacy of a fabric sample according to claim 3, wherein the relationship between the antibacterial rate (y) and the absorbance (A) of the fabric sample to radiation of the wavelength obtained by fitting satisfies the following equation: wherein y is the antibacterial rate, and A is the absorbance of the fabric sample to radiation of the wavelength.

6. The method for estimating the antibacterial efficacy of a fabric sample according to claim 2, wherein y = 197.178A 3 -426.476A 2 +304.572A + 26.934 the relationship between each of the concentrations (C) of the antibacterial agent and the absorbance (A) of the fabric sample to radiation of the wavelength obtained by fitting satisfies the following equation: A = 0.4496C wherein A is the absorbance of the fabric sample to radiation of the wavelength, and C is the concentration of the antibacterial agent. measuring the absorbance (A) of each fabric sample to radiation of a wavelength comprises: immersing the fabric sample in a liquid to obtain a fabric extract containing effective components of the fabric surface, and then placing the fabric extract in a test tube to measure the absorbance of the fabric extract to UV-Vis.

7. A method of estimating the antibacterial efficacy of a fabric sample according to any preceding claim, wherein, the liquid is deionized water.

9. An apparatus (500) for estimating the antibacterial efficacy of a fabric sample, comprising:

8. A method of estimating the antibacterial efficacy of a fabric sample according to claim 7, wherein, a processor (510); ​ ​ a storage device (520), wherein the storage device (520) stores the relationship between the absorption rate (A) of the fabric sample to the radiation of the wavelength and the antibacterial rate (y) and / or the relationship between the absorption rate (A) of the fabric sample to the radiation of the wavelength and the concentration (C) of the antibacterial agent obtained by fitting the method according to any one of claims 1-8; an input device (530) through which a user can input the absorption rate (A1) of the fabric sample to be detected to the radiation of the certain wavelength; and a display device (540); wherein the processor (510) can calculate the antibacterial rate (y) of the fabric sample to be detected according to the absorption rate (A) of the fabric sample to the radiation of the wavelength and the antibacterial rate (y) stored in the storage device (520) and the absorption rate (A1) of the fabric sample to be detected to the radiation of the certain wavelength input by the user.

10. The device (500) for estimating the antibacterial efficiency of a fabric sample according to claim 9, wherein the processor (510) can also calculate the concentration (C) of the antibacterial agent on the fabric sample to be detected according to the absorption rate (A) of the fabric sample to the radiation of the wavelength and the concentration (C) of the antibacterial agent stored in the storage device (520) and the absorption rate (A1) of the fabric sample to be detected to the radiation of the certain wavelength input by the user.

11. The device (500) for estimating the antibacterial efficiency of a fabric sample according to claim 9 or 10, wherein the input device (530) is a touch screen, and the input device (530) and the display device (540) are the same device. ​

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