Method and model for testing the effect of pore size on the adsorption of organic molecules by porous carbons

Abstract

This invention relates to a method and model for testing the effect of pore size on the adsorption efficiency of porous carbon for organic molecules. The method includes: washing, drying, and sealing porous carbon with different pore sizes for storage; preparing a homogeneous ultrapure water solution of the organic matter to be adsorbed; fully adsorbing the organic matter solution onto the porous carbon; filtering, drying, and sealing the adsorbed porous carbon, followed by pre-degassing in liquid nitrogen; measuring the pore structure parameters of the porous carbon before and after adsorption; and applying an adsorption model based on pore size classification to determine the effect of different pore sizes on the adsorption efficiency of organic molecules. The correctness of the proposed concept can be verified through PSD curves. The method uses a contribution factor to represent the correlation between adsorption efficiency and pore size, thereby clarifying the contribution of different pore sizes to adsorption efficiency and enabling efficient and rapid screening of PCs with superior adsorption performance.

Description

Technical Field

[0001] This invention relates primarily to the field of porous carbon adsorption efficiency technology, and in particular to a method and model for testing the effect of pore size on the adsorption efficiency of porous carbon for organic molecules. Background Technology

[0002] Porous carbon (PC) is a specially treated type of carbon. Organic raw materials are heated in the absence of air to reduce non-carbon components, then react with gases. The surface is eroded, resulting in a porous adsorbent material with a well-developed microporous structure. Because the activation process is microscopic—the erosion of numerous molecular carbides is point-like—the porous carbon surface has countless tiny pores. Therefore, porous carbon possesses a large specific surface area, abundant pore structure, and high adsorption reactivity, making it an excellent high-performance porous adsorbent material. Due to the diversity of raw materials, preparation processes, and parameters, the resulting PC exhibits variations in surface morphology, pore structure, elemental content, specific surface area, and electrical characteristics (functional group properties), leading to significant differences in its adsorption performance. The adsorption performance of PC for organic matter is influenced not only by its own physicochemical properties but also by the characteristics of the target pollutant and the adsorption conditions. These factors include the PC's specific surface area, pore size distribution, and surface functional group content; the characteristics of the organic matter itself, such as molecular weight and hydrophilicity / hydrophobicity; and adsorption conditions such as temperature and pH. Among these, the PC's own physicochemical properties are the primary factor affecting adsorption performance. For organic matter with different characteristics, it is impossible to evaluate the adsorption performance of PC using a single set of physicochemical indicators.

[0003] PC adsorption technology is widely used in the treatment of dyeing and printing wastewater due to its advantages such as simple operation, high removal efficiency, and non-selectivity. How to efficiently and quickly screen PC with better adsorption performance is key to expanding its application. Currently, most studies on the characteristic indicators for evaluating and selecting the best PC adsorption performance focus on typical characteristic pollutants. However, no evaluation method for PC adsorption performance has been established for organic matter in actual dyeing and printing wastewater.

[0004] The foregoing background information is intended to help those skilled in the art understand prior art that is similar to the present invention, and to facilitate the understanding of the inventive concept and technical solution of this application. It should be clearly stated that, in the absence of clear evidence that the above content was disclosed before the filing date of this patent application, the foregoing background information should not be used to evaluate the novelty of the technical solution of this application. Summary of the Invention

[0005] To address at least one of the technical problems mentioned in the background section, this invention provides a method and model for testing the effect of pore size on the adsorption efficiency of porous carbon for organic molecules. The correctness of the proposed concept can be verified by using PSD curves. The method uses a contribution factor to represent the correlation between adsorption efficiency and pore size, thereby clarifying the contribution of pores of different sizes to adsorption efficiency and enabling efficient and rapid screening of PCs with better adsorption performance.

[0006] Methods for testing the effect of pore size on the adsorption efficiency of porous carbon for organic molecules include:

[0007] S1. Take porous carbon with different pore sizes, clean it, freeze-dry it, and then seal it for storage.

[0008] S2. Prepare a homogeneous ultrapure water solution of the organic matter to be adsorbed;

[0009] S3. Use the porous carbon obtained in step S1 to fully adsorb the solution obtained in step S2;

[0010] S4. After the porous carbon adsorbed in step S3 is filtered, dried and sealed for storage, it is pre-degassed together with the porous carbon in step S1 at room temperature.

[0011] S5. The pore structure parameters of the two types of porous carbon obtained in step S4 are determined.

[0012] S6. Use the adsorption model shown in the following formula to determine the effect of different pore sizes on the adsorption efficiency of porous carbon on organic molecules:

[0013]

[0014] Among them, Q ORG V represents the amount of organic matter adsorbed in the pores of the adsorbent; α represents the bulk density of the organic matter; V ORG ΔV is the volume of organic matter adsorbed in the pores of the adsorbent; ΔV is the difference in pore volume between the PC loaded with organic matter and the original PC; k is the contribution factor; V is the pore volume.

[0015] As an optimization of the technical solution of the present invention, the pore size range of the porous carbon in step S1 is 0.1 to 100 nm.

[0016] As an optimization of the technical solution of the present invention, the cleaning in step S1 is performed by filtration and cleaning with ultrapure water at least 3 times.

[0017] As an optimization of the technical solution of the present invention, the freeze-drying in step S1 is performed at a temperature not higher than -45°C for not less than 48 hours.

[0018] As an optimization of the technical solution of the present invention, the temperature of the sealed storage in step S1 is not higher than -20℃.

[0019] As an optimization of the technical solution of the present invention, the organic matter in step S2 is a water-soluble organic matter.

[0020] As an optimization of the technical solution of the present invention, the organic compound in step S2 is at least one of perfluorooctanoic acid, perfluoroheptanoic acid, and perfluorononanoic acid.

[0021] As an optimization of the technical solution of the present invention, the step S2 of preparing an ultrapure water homogeneous solution of organic matter includes: mixing organic matter and ultrapure water and performing ultrasonic oscillation until the organic matter is completely dissolved to prepare a 1.25 g / L stock solution; before each use, the stock solution is subjected to ultrasonic oscillation for 10 minutes to ensure the homogeneity of the solution.

[0022] As an optimization of the technical solution of the present invention, the full adsorption in step S3 is carried out in a track shaking table system at 60-600 rpm and 15-30°C until adsorption reaches equilibrium. As an optimization of the technical solution of the present invention, the filtration in step S4 is performed using a 0.22 μm filtration membrane.

[0023] As an optimization of the technical solution of the present invention, the freeze-drying in step S4 is performed at a temperature not higher than -45°C for not less than 48 hours.

[0024] As an optimization of the technical solution of the present invention, the temperature of the sealed storage in step S4 is not higher than -20℃.

[0025] As an optimization of the technical solution of the present invention, the pre-degassing in step S4 specifically includes: placing the freeze-dried porous carbon sample into a BET sample tube and performing pre-degassing at room temperature. Pre-degassing can remove gases and retain organic molecules within the pores, because organic matter remains stable at least up to 150°C.

[0026] As an optimization of the technical solution of the present invention, the step S5 of measuring the pore structure parameters specifically includes: using an automatic adsorption instrument, measuring the pore structure parameters of PC before and after adsorption by nitrogen adsorption and desorption isotherm method.

[0027] As an optimization of the technical solution of the present invention, the volume of organic matter adsorbed in the pores of the adsorbent in step S6 is calculated by integrating the area between the pore size distribution curves of the PC loaded with organic matter and the original PC. Assuming that the reduction in pore volume of the PC loaded with organic matter compared to the original PC represents the organic molecules adsorbed inside the PC, the feasibility of the solution can be verified by verifying the shapes of the pore size distribution curves of the PC loaded with organic matter and the original PC. The verification shows that the two curves are completely identical, indicating the correctness of the solution. It also shows that as the pore size increases, the difference in pore volume between the PC loaded with organic matter and the original PC gradually decreases, further indicating that the pore size has a significant impact on the adsorption efficiency of PC.

[0028] As an optimization of the technical solution of the present invention, the adsorption model for pore size classification in step S6 further includes:

[0029]

[0030] in, For d i Pore ​​volume within the nm pore size range; k i Let be the contribution factor for the i-th pore size, representing the contribution of organic molecules to the corresponding d-th pore size. i The filling rate within the nm pore size range was measured. By comparing the difference in pore volume between organic-loaded PC and pristine PC, and assuming that the contribution to adsorption varies with pore size, an adsorption model based on NLDFT method for pore size classification was proposed. A contribution factor k was used to study the fuzzy correlation between organic adsorption and porous carbon pore size. Based on the length of organic molecules, micropore and mesopore boundaries, and the pore structure characteristics of PC, the pore size was divided into multiple intervals to verify the different intervals of k. i This allows for the characterization of the effect of different pore sizes on the adsorption efficiency of porous carbon for organic matter, thus facilitating the efficient and rapid screening of porous carbon materials with better adsorption performance.

[0031] A model for testing the effect of pore size on the adsorption efficiency of porous carbon for organic molecules, including

[0032]

[0033] Among them, Q ORG V represents the amount of organic matter adsorbed in the pores of the adsorbent; α represents the bulk density of the organic matter; V ORG ΔV is the volume of organic matter adsorbed in the pores of the adsorbent; ΔV is the difference between the pore volumes of the PC loaded with organic matter and the original PC; k is the contribution factor; V is the pore volume. For a pore size of d i Pore ​​volume within nm; k i Let be the contribution factor for the i-th pore size, representing the contribution of organic molecules to the corresponding d-th pore size.i Fill rate in the nm pore size range.

[0034] As an optimization of the technical solution of the present invention, the pore size ranges from 0.1 to 100 nm.

[0035] As an optimization of the technical solution of the present invention, the organic matter is a water-soluble organic matter.

[0036] As an optimization of the technical solution of the present invention, the organic compound is at least one of perfluorooctanoic acid, perfluoroheptanoic acid, and perfluorononanoic acid.

[0037] As an optimization of the technical solution of the present invention, the volume V of organic matter adsorbed in the pores of the adsorbent is... ORG The area between the pore size distribution curves of organic-loaded PC and the original PC is calculated.

[0038] This paper provides a method and model for testing the effect of pore size on the adsorption efficiency of porous carbon for organic molecules. First, porous carbon with different pore sizes is washed and then used to adsorb organic solutions. After filtration, drying, and pre-degassing at room temperature, the pore structure parameters of the porous carbon before and after adsorption are measured. An adsorption model based on pore size classification is applied to determine the effect of different pore sizes on the adsorption efficiency of organic molecules. The feasibility of the method is demonstrated by the PSD curves of the porous carbon before and after adsorption. A contribution factor k is used to study the fuzzy correlation between organic adsorption and porous carbon pore size. Furthermore, the pore size range is divided into multiple intervals to verify the effect of k within different interval ranges. i This allows us to characterize the effect of different pore sizes on the adsorption efficiency of porous carbon for organic molecules.

[0039] The aforementioned methods or models are applied in testing the influence of porous carbon with different pore sizes on the adsorption efficiency of organic molecules.

[0040] The beneficial effects of this application are as follows:

[0041] This application proposes a scheme to obtain the volume of organic matter adsorbed in the pores of porous carbon by verifying the area difference between the pore size distribution curves of PC loaded with organic matter and the original PC. Experimental verification shows that the PSD curves of PC before and after adsorption of organic matter are exactly the same, but the pore volume is significantly reduced, which also demonstrates the feasibility of this scheme. Furthermore, an adsorption model based on the NLDFT method for pore size classification is proposed. The contribution factor k is used to study the fuzzy correlation between organic matter adsorption and porous carbon pore size. The model can study the k value separately for pores of different sizes. Therefore, for porous carbon with different pore sizes, the correlation between adsorption efficiency and pore size can be explored separately by k value, thereby clarifying the contribution of different pore sizes to adsorption efficiency. This allows for efficient and rapid screening of PC with better adsorption performance. Attached Figure Description

[0042] To make the above and / or other objects, features, advantages and examples of the present invention more apparent and understandable, the accompanying drawings used in the specific embodiments of the present invention will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0043] Figure 1 RPC and KPC before and after PFOA adsorption 1-900-1.5 KPC 2-900-1.5 KPC 3-900-1.5 PSD curve chart;

[0044] Figure 2 KPC before and after PFOA adsorption 4-900-1.5 KPC 7-900-1.5 KPC 4-600-1.5 KPC 4-700-1.5 PSD curve chart;

[0045] Figure 3 KPC before and after PFOA adsorption 4-800-1.5 KPC 4-900-1.0 KPC 4-900-2.0 PSD curve chart;

[0046] Figure 4 This is a schematic diagram of the classification of pore size in porous carbon ((1)~(3) represent pores with pore sizes of 2.0nm~3.0nm, 1.2nm~2.0nm and ≤1.2nm, respectively);

[0047] Figure 5 The adsorption effect of different powdered porous carbon on perfluorooctanoic acid (PFOA) k i Value diagram;

[0048] Figure 6 The adsorption effects of different powdered porous carbon on perfluorononanoic acid (PFNA) and perfluoroheptanoic acid (PFHpA) are shown in the figure. i Value diagram. Detailed Implementation

[0049] Those skilled in the art can refer to the content of this document and appropriately replace and / or modify the process parameters to achieve the desired results. However, it should be particularly noted that all similar replacements and / or modifications are obvious to those skilled in the art and are considered to be included in this invention. The products and preparation methods described in this invention have been described through preferred examples, and those skilled in the art can obviously modify or appropriately change and combine the products and preparation methods described herein without departing from the content, spirit, and scope of this invention to realize and apply the technology of this invention.

[0050] Unless otherwise defined, the technical and scientific terms used herein have the same meanings as commonly understood by one of ordinary skill in the art to which this invention pertains. This invention uses the methods and materials described herein; however, other suitable methods and materials known in the art may also be used. The materials, methods, and examples described herein are illustrative only and are not intended to be limiting. All publications, patent applications, patent cases, provisional applications, database entries, and other references mentioned herein are incorporated herein by reference in their entirety. In case of conflict, the definitions included in this specification shall prevail.

[0051] Unless otherwise specified, the materials, methods, and examples described herein are exemplary and not limiting. While similar or equivalent methods and materials can be used to implement or test the invention, suitable methods and materials are described herein.

[0052] To facilitate understanding of the embodiments of the present invention, the abbreviations and key terms that may be involved in the embodiments of the present invention will first be explained or defined.

[0053] PC: Powdered porous carbon;

[0054] PFOA: Perfluorooctanoic acid;

[0055] PFHpA: Perfluoroheptanoic acid;

[0056] PFNA: Perfluorononanoic acid;

[0057] PSD curve: Aperture distribution curve;

[0058] RPC: Raw coconut shell charcoal;

[0059] KPC: Powdered porous carbon obtained by activating RPC with KOH;

[0060] KPC a-b-c : A series of powdered porous carbons obtained by activating RPC with KOH, where a is the mass ratio of KOH to RPC, b is the pyrolysis temperature (°C), and c is the pyrolysis time (h).

[0061] The present invention will now be described in detail.

[0062] Example 1:

[0063] A model is provided for testing the effect of pore size on the adsorption efficiency of porous carbon for organic molecules, including...

[0064]

[0065] Among them, Q ORGV represents the amount of organic matter adsorbed in the pores of the adsorbent; α represents the bulk density of the organic matter; V ORG ΔV is the volume of organic matter adsorbed in the pores of the adsorbent; ΔV is the difference between the pore volumes of the PC loaded with organic matter and the original PC; k is the contribution factor; V is the pore volume. For a pore size of d i Pore ​​volume within nm; k i Let be the contribution factor for the i-th pore size, representing the contribution of organic molecules to the corresponding d-th pore size. i Fill rate in the nm pore size range.

[0066] Example 2:

[0067] Based on the foregoing embodiments, a method for testing the effect of pore size on the adsorption efficiency of perfluorooctanoic acid (PFOA) molecules on porous carbon is provided, specifically including the following steps:

[0068] S1. Eleven types of powdered porous carbon were selected. After being washed three times by ultrapure water filtration, the samples were freeze-dried at -45℃ for 48 hours and then sealed and stored at -20℃.

[0069] S2. Mix solid perfluorooctanoic acid (PFOA) and ultrapure water and sonicate until PFOA is completely dissolved to prepare a 1.25 g / L stock solution. Before use, sonicate the stock solution for 10 min to ensure the homogeneity of the solution.

[0070] S3. Add 100 mg of PC to a 2 L polypropylene bottle containing 5.00 mg / L PFOA solution, and conduct an adsorption experiment for 12 h in a track shaker system at 200 rpm and 20 °C.

[0071] S4. Porous carbon after PFOA adsorption was obtained by filtration through a 0.22 μm membrane. The sample was freeze-dried at -45℃ for 48 h and then sealed and stored at -20℃.

[0072] S5. Using an automated adsorption analyzer (ASAP 2420, Micromeritics, USA), the pore structure parameters of PC before and after adsorption were determined by nitrogen adsorption and desorption isotherms. Before measurement, the freeze-dried PC sample was placed in a BET sample tube and pre-degassed at room temperature.

[0073] In this embodiment, all 11 types of powdered porous carbon were obtained by activating coconut shell carbon (RPC) with KOH, specifically including:

[0074] RPC and KOH were mixed at different weight ratios (KOH / RPC weight ratios were 1, 2, 3, 4, and 7), dissolved in ultrapure water, shaken and mixed for 30 minutes, and then the material was impregnated and dried at 105°C for 12 hours.

[0075] The impregnated material is placed in a nickel boat in a tube furnace and heated at 10°C / min under nitrogen atmosphere. -1 The temperature is increased from room temperature to 600–900℃, and then activated by pyrolysis for 1–2 hours.

[0076] After cooling to room temperature, the final product was washed three times with dilute hydrochloric acid solution, and then washed with ultrapure water until the pH of the solution was neutral. The carbon material obtained after filtration was freeze-dried for 48 hours and then sealed for storage.

[0077] The obtained powdered porous carbon was defined as KPC. a-b-c Where a is the mass ratio of KOH to RPC, b is the pyrolysis temperature (°C), and c is the pyrolysis time (h), such as KPC 4-600-1.5 It is obtained by pyrolysis at 600℃ for 1.5 hours with a mass ratio of KOH to RPC of 4:1.

[0078] The 11 types of powdered porous carbon in this embodiment are: raw coconut shell carbon powder RPC, KPC, etc. 1-900-1.5 KPC 2-900-1.5 KPC 3-900-1.5 KPC 4-900-1.5 KPC 7-900-1.5 KPC 4-600-1.5 KPC 4-700-1.5 KPC 4-800-1.5 KPC 4-900-1.0 KPC 4-900-2.0 , respectively Figures 1-3 As shown.

[0079] Example 3:

[0080] Based on the foregoing embodiments, it is assumed that the reduction in pore volume of the PFOA-loaded PC compared to the original PC is equal to the volume of PFOA molecules adsorbed within the pores. The volume of PFOA molecules adsorbed in the pores of the PC can be calculated by the area between the PSD curves of the PFOA-loaded PC and the original PC, where the PSD curves are shown... Figures 1-3 Comprehensive analysis Figures 1-3 It can be seen that the PSD curve shape of the PFOA-loaded adsorbent is exactly the same as that of the corresponding original PC, but its pore volume is significantly reduced, demonstrating the feasibility of the above method. As the pore size increases, the pore volume difference between the PFOA-loaded PC and the original PC gradually decreases, indicating that the influence of pore size cannot be ignored.

[0081] The difference in pore volume between PFOA-loaded PC and the original PC is defined as ΔV. However, it is inaccurate to analyze the effect of pore size using ΔV because it also involves the influence of pore volume. Therefore, by comparing the differences in pore volume between PFOA-loaded PC and the original PC, assuming that the contribution to adsorption varies with pore size, an adsorption model for pore size classification based on the NLDFT method is proposed. The contribution factor k is used to study the ambiguous correlation between PFOA adsorption and the pore size of porous carbon.

[0082] S6: Apply the model provided in Example 1 to determine the effect of different pore sizes on the efficiency of adsorbing perfluorooctanoic acid molecules. Since the organic molecule is a perfluorooctanoic acid (PFOA) molecule, the model provided in Example 1 is transformed as follows:

[0083]

[0084] where, Q PFOA is the amount of PFOA adsorbed in the pores of the adsorbent; α is the volume density of PFOA; V PFOA is the volume of PFOA adsorbed in the pores of the adsorbent; ΔV is the difference in pore volume between PFOA-loaded PC and the original PC; is d i nm pore volume within the range; k i is the contribution factor of the i-th size pore, indicating the filling rate of PFOA molecules within the corresponding d i nm pore range.

[0085] That is, Q PFOA is expressed as the sum of the products of pore volume and contribution factors, and the k value represents the filling rate of PFOA molecules within a certain pore size range.

[0086] To further study the effect of pore size, according to the length size of PFOA molecules, the micropore and mesopore boundaries, and the pore structure characteristics of KPCs, the pore size is divided into four intervals. Taking 1.2 nm, 2.0 nm, and 3.0 nm as the boundaries, they are d1 ≤ 1.2 nm, 1.2 nm < d2 ≤ 2.0 nm, 2.0 nm < d3 ≤ 3.0 nm, d4 > 3.0 nm. The schematic diagram of pore size classification is shown in Figure 4 . It should be understood that for the length size of different organic molecules, the micropore and mesopore boundaries, the determination of the model interval demarcation points such as 1.2 nm, 2.0 nm, and 3.0 nm can be unchanged or changed. The above demarcation points such as 1.2 nm, 2.0 nm, and 3.0 nm are only exemplary. k i and d i are corresponding relationships, and the corresponding pore size demarcation points are not limited. By obtaining k i , the different pore size dimensions d iThe effect of adsorption efficiency on the analysis of corresponding organic compounds.

[0087] Therefore, ΔV in the aforementioned model can be rewritten as follows:

[0088] ΔV=k1V ≤1.2 +k2V 1.2～2.0 +k3V 2.0～3.0 +k4V ＞3.0 .

[0089] The k-values ​​of the above 11 PC types were analyzed using the model, and the results are as follows: Figure 5 As shown.

[0090] Depend on Figure 5 It can be seen that the value of k4 is relatively unstable. The remaining k values ​​of all adsorbents roughly follow the following rule: k1>k3>k2, that is, pores with a size of less than or equal to 1.2 nm contribute the most, followed by small mesopores with a size of 2.0 to 3.0 nm, while pores with a size of 1.2 to 2.0 nm contribute the least.

[0091] Based on this embodiment and the previous embodiments, the adsorption effects of different powdered porous carbon on perfluorononanoic acid and perfluoroheptanoic acid were verified, and the adsorption k was statistically obtained. i The values ​​are respectively as follows Figure 6 As shown. By Figure 6 It can be seen that the value of k4 is also relatively unstable for perfluorononanoic acid (PFNA) and perfluoroheptanoic acid (PFHpA). The k values ​​of all adsorbents generally follow the following rule: k1>k3>k2. That is, pores with a size of less than or equal to 1.2 nm contribute the most, followed by small mesopores with a size of 2.0 to 3.0 nm, while pores with a size of 1.2 to 2.0 nm contribute the least.

[0092] It should be understood that the kJ values ​​of perfluorooctanoic acid, perfluoroheptanoic acid, and perfluorononanoic acid are different. i The values ​​follow a similar pattern, possibly due to the similar physicochemical properties of the three organic compounds. The test methods and characterization models described in this application are also applicable to other organic compounds. By exploring the correlation between adsorption efficiency and pore size through the k value, the contribution of pores of different sizes to adsorption efficiency can be clarified, thereby enabling the screening of porous carbon materials with better adsorption efficiency for different organic compounds.

[0093] The specific embodiments described herein are merely illustrative of the spirit of the invention. Those skilled in the art to which this invention pertains may make various modifications or additions to the described specific embodiments or use similar methods to substitute them, without departing from the spirit of the invention or exceeding the scope defined by the appended claims.

[0094] Although the present invention has been described in detail and specific embodiments have been cited, it will be apparent to those skilled in the art that various changes or modifications can be made without departing from the spirit and scope of the invention.

[0095] While the foregoing detailed descriptions have shown, described, and pointed out novel features applicable to various embodiments, it should be understood that various omissions, substitutions, and changes may be made to the form and details of the described apparatus or methods without departing from the spirit of this disclosure. Furthermore, the various features and methods described above may be used independently of each other or may be combined in various ways. All possible combinations and sub-combinations are intended to fall within the scope of this disclosure. Many of the foregoing embodiments include similar components, and therefore, these similar components are interchangeable in different embodiments. Although the invention has been disclosed in the context of certain embodiments and examples, those skilled in the art will understand that the invention extends beyond the specifically disclosed embodiments to other alternative embodiments and / or applications, as well as their obvious modifications and equivalents. Therefore, the invention is not intended to be limited to the specific disclosure of the preferred embodiments herein.

[0096] All matters not covered in this invention are common knowledge.

Claims

1. A method for testing the effect of pore size on the adsorption efficiency of porous carbon for organic molecules, characterized in that... include: S1. Take porous carbon with different pore sizes, clean it, freeze-dry it, and then seal it for storage. S2. Prepare an ultrapure water homogeneous solution of the organic matter to be adsorbed, wherein the organic matter is at least one of perfluorooctanoic acid, perfluoroheptanoic acid, and perfluorononanoic acid. S3. Use the porous carbon obtained in step S1 to fully adsorb the solution obtained in step S2; S4. After adsorption in step S3, the porous carbon is filtered, freeze-dried, and sealed for storage. It is then pre-degassed together with the porous carbon in step S1 at room temperature. S5. The pore structure parameters of the two types of porous carbon obtained in step S4 are determined. S6. Apply adsorption models classified by pore size to determine the effect of different pore sizes on the adsorption efficiency of organic molecules: in, Q ORG This represents the amount of organic matter adsorbed in the pores of the adsorbent. The bulk density of organic matter; V ORG This represents the volume of organic matter adsorbed in the pores of the adsorbent. This represents the difference in pore volume between PC loaded with organic matter and the original PC. k As a contributing factor; V Pore ​​volume; for Pore ​​volume within the nm pore size range; For the first i The contribution factor of different pore sizes indicates the contribution of organic molecules to the corresponding pore size. Fill rate in the nm pore size range; The volume of organic matter adsorbed in the pores of the adsorbent The area between the pore size distribution curves of organic-loaded PC and the original PC is calculated.

2. The method for testing the effect of pore size on the adsorption efficiency of porous carbon on organic molecules according to claim 1, characterized in that: The pore size range of the porous carbon in step S1 is 0.1 to 100 nm.

3. The method for testing the effect of pore size on the adsorption efficiency of porous carbon on organic molecules according to claim 1, characterized in that: The full adsorption in step S3 is carried out in a track shaker system at 60-600 rpm and 15-30°C until adsorption reaches equilibrium.

4. The method for testing the effect of pore size on the adsorption efficiency of porous carbon on organic molecules according to claim 1, characterized in that: Step S5, which involves determining the pore structure parameters, specifically includes using an automatic adsorption instrument to determine the pore structure parameters of PC before and after adsorption using the nitrogen adsorption and desorption isotherm method.

5. The application of the method according to any one of claims 1 to 4 in detecting the adsorption efficiency of porous carbon with different pore sizes for organic molecules.

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