Multi-scene environment disinfection effect comprehensive evaluation method

Abstract

The invention discloses a multi-scene environment disinfection effect comprehensive evaluation method, and relates to the technical field of public health disinfection. Aiming at the problems of poor scene adaptability, single detection dimension and the like in the prior art, the following innovative schemes are provided: establishing a scene-divided biological evaluation system, adopting natural bacterium dynamic baseline calibration for preventive disinfection, and synchronously detecting standard strains such as staphylococcus aureus, escherichia coli and the like in epidemic source disinfection; developing an intelligent sampling system, and implementing a dynamic point distribution strategy (3 points are set in a space less than or equal to 30m < 2 >, and points are distributed according to a grid method in a space greater than 60m < 2 >) and a hierarchical sampling scheme (high-frequency contact surface reinforcement detection); a multi-index fusion evaluation model is constructed, and three-dimensional evaluation is carried out by integrating the microorganism killing rate (the weight is 50-70%), the chemical residue safety value (the weight is 20-40%) and the environment adaptation degree (the weight is 10-20%).

Description

Technical Field

[0001] The present invention relates to the technical field of public health disinfection, and particularly relates to a comprehensive evaluation method for the environmental disinfection effect in multiple scenarios. Background Art

[0002] The public environment refers to public places, that is, the outdoor environment of multi-person areas and large and medium-sized squares. Generally speaking, as long as there are two or more people in the activity area, as well as the surrounding environment and contemporary administrative office buildings, they all belong to the category of public environment. Narrowly speaking, the public environment is mainly relative to the indoor environment and refers to outdoor spaces and places. The disinfection of the public environment has become a top priority, mainly by disinfecting to kill the viruses existing in the air of the public environment to reduce the spread of epidemic diseases.

[0003] For indoor environments with dense personnel such as enclosed means of transportation (aircraft / high-speed rail), cold chain logistics centers, and medical isolation sites, it is necessary to disinfect and sterilize in time to avoid endangering public safety.

[0004] However, the following defects exist in the existing technology disinfection:

[0005] 1. Insufficient scene adaptability: Designed for a single environment, and no cross-scene evaluation parameter conversion mechanism is established. For example, the surface wiping method used in medical places is not applicable to the curved surface structure of the cabin, and the low-temperature environment in the cold chain scenario causes the traditional culture method to fail.

[0006] 2. Single detection dimension: The disinfection evaluation device only monitors microbial indicators, and does not incorporate key parameters such as the residual toxicity of disinfectants (such as peroxide decomposition products) and environmental temperature and humidity interference.

[0007] 3. Defects in sampling methods: The traditional cotton swab sampling method has an effective contact area deviation of more than 30% on rough surfaces, and does not distinguish the different sampling requirements of high-frequency / low-frequency contact areas.

[0008] 4. Limitations in data analysis: Using a fixed weight algorithm, it is impossible to dynamically adjust the index weight ratio between hospitals (high risk) and office places (conventional risk).

[0009] Therefore, there is an urgent need for a scientifically verified comprehensive evaluation method for the disinfection effect applicable to multiple scenarios such as enclosed means of transportation (aircraft / high-speed rail), cold chain logistics centers, and medical isolation sites. Summary of the Invention

[0010] Aiming at the problems existing in the prior art, the present invention provides a comprehensive evaluation method for the environmental disinfection effect in multiple scenarios, which is applicable to the comprehensive evaluation of the disinfection quality in multiple scenarios such as enclosed means of transportation (aircraft / high-speed rail), cold chain logistics centers, and medical isolation sites.

[0011] The present invention is implemented as follows. A comprehensive evaluation method for the environmental disinfection effect in multiple scenarios includes the following steps:

[0012] a) Select evaluation indicators according to the scenario type: Monitor the change of natural flora for preventive disinfection, and detect the inactivation rate of standard strains simultaneously for epidemic source disinfection;

[0013] b) Dynamically arrange sampling points: Divide the sampling area according to the space area, and add 1 detection point for every 10m 2 with the maximum number not exceeding 30;

[0014] c) Adopt a hierarchical sampling strategy: Strengthen sampling for high-frequency contact surfaces, and conduct three-stage monitoring before, during, and after air disinfection;

[0015] d) Calculate the comprehensive disinfection index: It includes three core indicators, namely, the microorganism killing rate, the chemical residue safety value, and the environmental adaptability.

[0016] Furthermore, in step a), the standard strains at least include Staphylococcus aureus and Escherichia coli; for low-temperature environments (≤10°C), cold-resistant strains are used for detection.

[0017] Furthermore, in step b), for areas ≤ 30m 2 three diagonal monitoring points are arranged in the space; for 30m 2 <area ≤ 60m 2 five points including the four corners and the center are set in the space; for areas > 60m 2 the space is evenly arranged with points according to the grid method.

[0018] Furthermore, in step d), the weight of the microorganism killing rate accounts for 50%-70%; the weight of the chemical residue safety value accounts for 20%-40%; the weight of the environmental adaptability accounts for 10%-20%.

[0019] Furthermore, for normal-temperature scenarios, a dynamic baseline database of natural flora is constructed, and the data before and after disinfection is calibrated by the moving average method; for low-temperature scenarios with a temperature ≤ 10°C, cold-resistant indicator microorganisms are implanted as biological indicators;

[0020] Furthermore, the cold-resistant indicator microorganism is the low-temperature mutant strain of Escherichia coli 8099.

[0021] Furthermore, if it is a high-risk area, the biological indicator tablets of Staphylococcus aureus ATCC 6538 are synchronously placed.

[0022] Furthermore, for surface sampling in office places, the checkerboard sampling method is adopted; for key contact points such as aircraft cabin armrests and elevator buttons, the focused sampling method is adopted; for air sampling in ventilated places, gradient sampling is carried out in the three stages before, during, and after disinfection; for cold-chain items, the five-sided sampling method of synchronously sampling the top surface + four side surfaces is implemented.

[0023] Furthermore, it is characterized in that the data analysis of the microbial detection experiment combines natural bacteria, indicator bacteria, and air settlement results.

[0024] Advantages and technical effects of the present invention: The method of the present invention is particularly suitable for the comprehensive evaluation of the disinfection quality in multiple scenarios such as enclosed transportation vehicles (aircraft / high-speed trains), cold chain logistics centers, medical isolation sites, etc., and realizes the coordinated evaluation of the microbial inactivation effect, chemical safety indicators, and environmental adaptation parameters. Specific embodiments

[0025] In order to make the objectives, technical solutions, and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0026] The comprehensive evaluation method for the environmental disinfection effect in multiple scenarios of the present invention includes the following steps:

[0027] a) Select evaluation indicators according to the scenario type: Monitor the change of natural flora for preventive disinfection, and simultaneously detect the inactivation rate of standard strains for epidemic source disinfection;

[0028] b) Dynamically arrange sampling points: Divide the sampling area according to the space area, and add 1 detection point every 10m 2 with a maximum number not exceeding 30;

[0029] c) Adopt a hierarchical sampling strategy: Strengthen sampling for high-frequency contact surfaces, and monitor the air disinfection in three stages: before, during, and after;

[0030] d) Calculate the comprehensive disinfection index: It includes three core indicators: the microbial killing rate, the chemical residue safety value, and the environmental adaptability.

[0031] Furthermore, in step a), the standard strains at least include Staphylococcus aureus and Escherichia coli; cold-resistant strains are used for detection in low-temperature environments (≤10°C).

[0032] Furthermore, in step b), when the area ≤ 30m 2 3 diagonal monitoring points are arranged in the space; for 30m 2 <area ≤ 60m 2 5 points including 4 corners and the center are set in the space; when the area > 60m 2 The space is evenly arranged with points according to the grid method.

[0033] Furthermore, in step d), the weight of the microbial killing rate accounts for 50%-70%; the weight of the chemical residue safety value accounts for 20%-40%; the weight of the environmental adaptability accounts for 10%-20%.

[0034] Further, for the normal temperature scenario, a dynamic baseline database of natural flora is constructed, and the moving average method is used to calibrate the data before and after disinfection; for the low temperature scenario with a temperature ≤ 10°C, cold-tolerant indicator microorganisms are implanted as biological indicators.

[0035] Further, the cold-tolerant indicator microorganism is a low-temperature variant of Escherichia coli 8099.

[0036] Further, if it is a high-risk area, Staphylococcus aureus ATCC 6538 biological indicator strips are placed synchronously.

[0037] Further, for surface sampling in office places, the checkerboard sampling method is adopted; for key contact points such as aircraft cabin armrests and elevator buttons, the focused sampling method is adopted; for air sampling in ventilated places, gradient sampling is carried out at three stages before, during, and after disinfection; for cold-chain items, the five-sided sampling method of synchronously sampling the top surface + four side surfaces is implemented.

[0038] Further, it is characterized in that the data analysis of the microbial detection experiment combines natural bacteria, indicator bacteria, and air settlement results.

[0039] Example 1 Evaluation of Aircraft Cabin Disinfection

[0040] 1. Pretreatment stage:

[0041] Thirty characteristic sampling points (including key parts such as the emergency cabin door and ventilation openings) are demarcated in the aircraft cabin; biological indicator strips containing Escherichia coli are placed (the carrier material simulates the surface characteristics of aviation alloy).

[0042] 2. Disinfection implementation:

[0043] An atomized hydrogen peroxide disinfection system (concentration 6%, action time 90 minutes) is adopted.

[0044] 3. Post-evaluation:

[0045] A neutralizer (sampling solution containing 0.5% sodium thiosulfate) is used to recover microorganisms. The killing rate is calculated (≥ 99.9% is qualified).

[0046] Example 2 Evaluation of Isolation Hotel Guest Room Disinfection

[0047] 1. Six wireless sensor nodes are deployed (at key sites such as bedside tables, bathrooms, and ventilation openings);

[0048] 2. Surface sampling points include door handles (high-frequency contact), bed rails (medium-frequency contact), and curtains (low-frequency contact);

[0049] 3. Air sampling adopts the three-level gradient method (at three levels of 0.5 m, 1.2 m, and 2 m from the ground);

[0050] 4. The detection data shows that after hydrogen peroxide atomization disinfection:

[0051] The total number of colonies on high-frequency contact surfaces is less than 5 CFU / cm 2 ; VOCs concentration drops to the safety threshold 2 hours after disinfection.

[0052] Experimental results:

[0053] (1) Results of natural bacteria killing rate in the air

[0054] Serial number Site name Natural bacteria killing rate (%) Serial number Site name Natural bacteria killing rate (%) 1 Inside M509 90.00 13 Inside M421 100.00 2 In the middle of M509 100.00 14 In the middle of M421 100.00 3 Outside M509 100.00 15 Outside M421 100.00 4 Inside M517 100.00 16 Inside M422 92.00 5 In the middle of M517 100.00 17 In the middle of M422 100.00 6 Outside M517 100.00 18 Outside M422 100.00 7 Inside M519 100.00 19 Inside M425 94.74 8 In the middle of M519 100.00 20 In the middle of M425 100.00 9 Outside M519 100.00 21 Outside M425 90.00 10 Inside M520 100.00 22 Inside M403 100.00 11 In the middle of M520 100.00 23 In the middle of M403 100.00 12 Outside M520 100.00 24 Outside M403 100.00

[0055] (2) Results of natural bacteria killing rate on public areas and indoor object surfaces

[0056]

[0057]

[0058] (3) Results of killing rate of indicator microorganisms on the surfaces of objects in key disinfection areas

[0059] Serial number Site name Natural bacteria killing rate (%) Serial number Site name Natural bacteria killing rate (%) 1 8403 toilet 100.00 16 8422 entrance floor 100.00 2 8403 washbasin countertop 100.00 17 8422 bed 100.00 3 8403 bedside table 100.00 18 8422 TV cabinet 100.00 4 8403 glass cabinet 100.00 19 8422 bedside table 100.00 5 8403 TV cabinet 100.00 20 8422 floor beside the bed 100.00 6 8403 bed 100.00 21 8422 bathroom platform 100.00 7 8403 entrance floor 99.98 22 8422 washbasin countertop 99.98 8 8421 TV cabinet 100.00 23 8422 glass cabinet 100.00 9 8421 entrance floor 100.00 24 8425 entrance floor 100.00 10 8421 washbasin countertop 100.00 25 8425 TV cabinet 100.00 11 8421 bathroom platform 100.00 26 8425 bedside table 100.00 12 8421 bedside table 100.00 27 Beside 8425 bedside table 100.00 13 8421 floor beside the bed 100.00 28 8425 bed 100.00 14 8421 bed 100.00 29 8425 washbasin countertop 100.00 15 8421 toilet 100.00 30 8425 bathroom floor 100.00

[0060] Example 3 Evaluation of office disinfection

[0061] A test was conducted to evaluate the effectiveness of preventive disinfection at room temperature, using natural bacteria as the evaluation object.

[0062] Sampling focuses on the ground, walls, desks, bedside tables, toilets, door handles, buttons, etc. Sampling points can be added in places where disinfection factors are difficult to reach, such as drawers, carpets, corners, etc. Each type of sampling object should have no less than 2 samples. The total number of test samples should be no less than 30.

[0063] 1. Smear test before disinfection

[0064] Before disinfection, place a 5cm×5cm sterilized standard plate on the surface of the object, and use a cotton swab soaked in sterile 0.03mol / L phosphate buffer or saline sampling solution to smear the standard plate back and forth 5 times horizontally and vertically, and rotate the cotton swab accordingly to continuously sample several areas of the standard plate, cut off the part that touches the hand, and place the cotton swab in a test tube containing 10mL of sampling solution.

[0065] 2. Smear test after disinfection

[0066] After the disinfection reaches the effective time, sample the surface of the object paired with the former according to the above method, and put the cotton swab into a test tube containing 10mL of the corresponding neutralizer. If the surface of the sampled object is less than 100cm2, take the entire surface; if the surface of the sampled object is ≥100cm 2 , take 100cm 2 , the sampling area before and after is equal.

[0067] The disinfection effect evaluation tests of the epidemic focus disinfection and terminal disinfection were carried out, with indicator microorganisms (Staphylococcus aureus and Escherichia coli) as the evaluation objects.

[0068] Sampling was carried out with the ground, wall, desktop, bedside table, toilet, doorknob, button, etc. as the key sampling objects. Indicator microorganism carriers could be added in places where disinfection factors were difficult to reach, such as drawers, carpets, and corners. There were no less than 2 samples for each type of sampling object. The total number of test samples was no less than 30.

[0069] Before disinfection, according to the requirements of the sampling points, the bacterial tablets were placed on site. After the disinfection reached the action time, the bacterial tablets were transferred into a test tube containing 5.0 mL of the corresponding neutralizer with sterile forceps, shaken 80 times in the palm or mixed with a mixer, and neutralized for 10 min. At the same time, a positive control group was set up. During low-temperature on-site disinfection, the positive control group and the test group were placed in the corresponding low-temperature environment together. After reaching the same low temperature, they were put into the diluent for counting.

[0070] For preventive disinfection and epidemic focus disinfection, the air disinfection effect evaluation test was carried out with natural bacteria as the evaluation object. The plate exposure method was adopted. When the indoor area ≤ 30 m 2 , a total of 3 points were set on the inner, middle, and outer diagonals. The inner and outer points should be 1 m away from the wall; if the indoor area > 30 m 2 , a total of 5 points were set at the four corners and the center. The sampling positions at the four corners should be 1 m away from the wall. For a larger space (indoor area > 60 m 2 ), the sampling points could be increased according to actual needs, with a maximum of 30 points.

[0071] Experimental results:

[0072]

[0073]

[0074] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, and improvements made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

Claims

1. A comprehensive evaluation method for the environmental disinfection effect in multiple scenarios, characterized in that, It includes the following steps: a) Select evaluation indicators according to the scenario type: monitor the change of natural flora for preventive disinfection, and detect the inactivation rate of standard strains simultaneously for source epidemic disinfection; b) Dynamically arrange sampling points: Divide the sampling area according to the spatial area, and add 1 detection point every 10m 2 with the maximum number not exceeding 30; c) Adopt a hierarchical sampling strategy: strengthen sampling for high-frequency contact surfaces, and conduct three-stage monitoring before, during, and after air disinfection; d) Calculate the comprehensive disinfection index: including three core indicators of microbial killing rate, chemical residue safety value, and environmental adaptability.

2. The comprehensive evaluation method for the environmental disinfection effect in multiple scenarios according to claim 1, wherein, In step a), the standard strains shall at least include Staphylococcus aureus and Escherichia coli; cold-resistant strains are used for detection in low-temperature environments (≤10°C).

3. The comprehensive evaluation method for the environmental disinfection effect in multiple scenarios according to claim 1, wherein, In step b), for an area ≤ 30 m 2 Arrange 3 diagonal monitoring points in space; for 30 m 2 <For an area ≤ 60 m 2 Arrange 5 points including the 4 corners and the center in space; for an area > 60 m 2 Arrange points evenly in space according to the grid method.

4. The comprehensive evaluation method for the environmental disinfection effect in multiple scenarios according to claim 1, characterized in that, In step d), the weight of the microbial killing rate accounts for 50%-70%; the weight of the chemical residue safety value accounts for 20%-40%; the weight of the environmental adaptability accounts for 10%-20%.

5. The comprehensive evaluation method for the environmental disinfection effect in multiple scenarios according to claim 1, wherein, For normal-temperature scenarios, construct a dynamic baseline database of natural flora, and use the moving average method to calibrate the data before and after disinfection; for low-temperature scenarios with a temperature ≤10°C, implant cold-resistant indicator microorganisms as biological indicators.

6. The comprehensive evaluation method for the environmental disinfection effect in multiple scenarios according to claim 5, characterized in that The cold-resistant indicator microorganism is the low-temperature mutant strain of Escherichia coli 8099.

7. The comprehensive evaluation method for the environmental disinfection effect in multiple scenarios according to claim 1, wherein If it is a high-risk area, place the biological indicator strips of Staphylococcus aureus ATCC 6538 synchronously.

8. The comprehensive evaluation method for the environmental disinfection effect in multiple scenarios according to claim 1, wherein, For surface sampling in office places, the checkerboard layout method is adopted; for key contact points such as aircraft cabin armrests and elevator buttons, the focused sampling method is adopted; for air sampling in ventilated places, gradient sampling is carried out in the three stages before, during, and after disinfection; for cold-chain items, the five-sided sampling method of synchronously sampling the top surface + four side surfaces is implemented.

9. The comprehensive evaluation method for the environmental disinfection effect in multiple scenarios according to claim 1, wherein Analyze the data of the microbial detection experiment, combining the results of natural bacteria, indicator bacteria, and air sedimentation.

Images