Method, device, equipment and storage medium for toxicity assessment of spent catalysts

Abstract

The application discloses a waste catalyst toxicity evaluation method, device, equipment and storage medium, wherein the method comprises the following steps: preparing a sample leaching solution according to a sample of an FCC waste catalyst as an evaluation object; determining a nickel concentration CNi and a lanthanum concentration CLa in the sample leaching solution; and obtaining a prediction result of a growth inhibition experiment of the sample leaching solution on Selenastrum capricornutum according to a prediction model. The application can take the nickel concentration and the lanthanum concentration of the sample leaching solution as input, quickly calculate the comprehensive ecological toxicity of the evaluation object through the prediction model, and thus effectively improve the evaluation efficiency of the comprehensive ecological toxicity of the FCC waste catalyst.

Description

Technical Field

[0001] The present invention relates to the field of ecological risk prediction, and in particular to a method, device, equipment and storage medium for evaluating the toxicity of a waste catalyst. Background Art

[0002] Fluid catalytic cracking (FCC) catalyst is currently the most consumed refining catalyst. my country uses over 100,000 tons of FCC catalyst annually, accounting for 70% of total refining catalyst usage. During use, FCC catalysts lose their activity due to the deposition of coke and metal components such as nickel and vanadium in the feedstock, rendering them unusable and becoming spent.

[0003] Spent FCC catalysts, containing highly hazardous metals such as nickel, vanadium, sb, la, and ce, have long been considered to pose a high environmental risk. The 2021 National List of Hazardous Wastes lists spent FCC catalysts produced through catalytic cracking using nickel passivation agents as hazardous waste.

[0004] In the prior art, methods for evaluating the hazard of FCC spent catalysts include methods based on model organism toxicity evaluation, which can be used to analyze the comprehensive toxicity of FCC spent catalysts.

[0005] After research, the inventors found that the existing method for assessing the toxicity of spent catalysts has at least the following drawbacks:

[0006] The above method is complex and time-consuming, requiring the cultivation of model organisms, determination of exposure concentrations, and experimental conduct, which can take up to 7-15 days. Summary of the Invention

[0007] The main purpose of the present invention is to improve the efficiency of evaluating the comprehensive ecotoxicity of FCC spent catalyst.

[0008] To achieve the above object, the technical solution adopted by the present invention is:

[0009] The present invention discloses a method for evaluating the toxicity of a waste catalyst, comprising the steps of:

[0010] S11, preparing a sample agent extract solution based on a sample agent of the FCC spent catalyst to be evaluated;

[0011] S12, determining the nickel concentration CNi and the lanthanum concentration CLa in the sample agent leaching solution;

[0012] S13. Obtaining prediction results of a growth inhibition experiment of the sample agent extract on Selaginella capricornis (96-h acute toxicity experiment of Selaginella capricornis) according to the prediction model;

[0013] The prediction model includes formula (1): ln(EC50 )=0.817+exp(1.356-1.736×CNi-0.262×CLa);

[0014] Wherein, CNi is the nickel concentration in the sample extract, in mg / L; CLa is the lanthanum concentration in the sample extract, in mg / L; ln(EC 50 ) is the logarithmic value of the half-maximal effect concentration of the sample agent extract on Capricornis hornii, which refers to the concentration of the sample agent extract that can cause 50% of the maximum effect on Capricornis hornii, and the unit is %.

[0015] Preferably, in the present invention, it includes:

[0016] The sample agent extract is prepared in accordance with the "Solid Waste Leaching Toxicity Leaching Method Sulfuric Acid and Nitric Acid Method (HJ / T299-2007)".

[0017] Preferably, in the present invention, the preparation of the sample extract comprises:

[0018] Collect the FCC spent catalyst, which has the appearance of dry grey powder and is directly used for the preparation of the leaching solution without any pre-treatment; the amount of the FCC spent catalyst collected is >150g;

[0019] Add a mixture of concentrated sulfuric acid and concentrated nitric acid in a mass ratio of 2:1 to deionized water (add about 2 drops of the mixture to 1 L of deionized water) to adjust the pH of the deionized water to 3.20 ± 0.05;

[0020] Accurately weigh 150 g of spent FCC catalyst and place it in a 2 L wide-mouth bottle (glass or polyethylene (PE) bottle) with a screw cap and inner cap, and then add 1.5 L of the above-mentioned deionized water with a pH of 3.20 ± 0.05;

[0021] After tightening the cap of the wide-mouth bottle, place it on a flip-type shaker, adjust the speed to 30±2r / min, and shake at 23±2℃ for 18±2h;

[0022] The shaken sample is filtered using a pressure filter and a 0.45 μm microporous filter membrane, and the obtained filtrate is the sample agent extract.

[0023] Preferably, in the present invention, the determination of the nickel concentration CNi and the lanthanum concentration CLa in the sample agent extract comprises:

[0024] An inductively coupled plasma optical emission spectrometer (ICP-OES) and / or an atomic absorption spectrophotometer were used.

[0025] Preferably, in the present invention, it includes:

[0026] The formula (1) is fitted by the 96-hour acute toxicity test results of extracts prepared from various FCC waste catalysts from different FCC units on the algae. 2 The value is 0.926.

[0027] Preferably, in the present invention, the capricornis selaginella is from the freshwater algae species library of the Chinese Academy of Sciences, and its Latin name is:

[0028] Pseudokirchneriella subcapitata or Selenastrum capricornutum.

[0029] Preferably, in the present invention, the formula (1) is fitted by the 96-hour acute toxicity test results of extracts prepared from a variety of FCC waste catalysts from different FCC units on Selaginella fasciata, including:

[0030] preparing a plurality of experimental samples of spent catalyst leachate, each of the experimental samples having a different nickel concentration and a different lanthanum concentration;

[0031] Generating growth curves of the Capricornis hornii for each of the experimental sample solutions;

[0032] According to the growth curve of Capricornis sphenanthera, calculate the area under the growth curve;

[0033] Calculate the growth inhibition rate of the Selaginella fasciata treated with each of the experimental liquids relative to the control group;

[0034] According to the growth inhibition rate value, the median effective concentration (96h EC) of each experimental solution was calculated using the probability unit regression analysis method. 50 ).

[0035] In another aspect of the present invention, there is also provided a waste catalyst toxicity assessment device, comprising:

[0036] A concentration measuring unit, for measuring the nickel concentration CNi and the lanthanum concentration CLa in a sample extract; the sample extract is prepared based on a sample of the FCC spent catalyst to be evaluated;

[0037] A prediction unit, configured to obtain a prediction result of a growth inhibition experiment of the sample agent extract on Sessiliqua capricornis (a 96-hour acute toxicity experiment on Sessiliqua capricornis) according to a prediction model;

[0038] The prediction model includes formula (1): ln(EC 50 )=0.817+exp(1.356-1.736×CNi-0.262×CLa);

[0039] CNi is the concentration of nickel in the sample leaching solution, in mg / L; CLa is the concentration of lanthanum in the sample leaching solution, in mg / L; ln(EC 50 ) is the logarithm of the half maximal effective concentration of the sample leaching solution on Selenastrum capricornutum, which refers to the concentration of the sample leaching solution that can cause 50% of the maximum effect on Selenastrum capricornutum, in %.

[0040] Preferably, in the present application, the following are included:

[0041] The sample leaching solution is prepared according to the Solid Waste Leaching Toxicity Leaching Method-Sulfuric Acid and Nitric Acid Method (HJ / T 299-2007).

[0042] Preferably, in the present application, the determination of the concentration of nickel CNi and the concentration of lanthanum CLa in the sample leaching solution includes:

[0043] An inductively coupled plasma optical emission spectrometer (ICP-OES) or / and an atomic absorption spectrophotometer is used.

[0044] Preferably, in the present application, the following are included:

[0045] The formula (1) is fitted from the results of 96h acute toxicity experiments of leaching solutions prepared from FCC spent catalysts from different FCC devices on Selenastrum capricornutum, and the fitting R 2 value is 0.926.

[0046] In another aspect of the embodiments of the present application, a spent catalyst toxicity evaluation device is also provided, which includes:

[0047] A memory for storing a computer program;

[0048] A processor for calling and executing the computer program to realize the steps of the spent catalyst toxicity evaluation method according to any one of the above.

[0049] In another aspect of the embodiments of the present application, a storage medium having a computer program stored thereon is also provided, and the computer program is executed by a processor to realize the steps of the spent catalyst toxicity evaluation method according to any one of the above.

[0050] Advantages

[0051] The present invention organically combines a metal concentration determination toxicity assessment method with a model organism-based toxicity evaluation method to obtain a prediction model that can quickly predict the comprehensive toxicity of FCC waste catalysts based on metal concentrations. In the present invention, formula (1) in the prediction model is fitted by 96-hour acute toxicity experimental data on Selaginella fasciata using extracts prepared from a variety of FCC waste catalysts from different FCC units. Due to the goodness of fit of the prediction model in the present invention (i.e., the fitting R 2 value) can reach 0.926. Therefore, after obtaining the sample extract of the FCC waste catalyst to be evaluated, the nickel concentration and lanthanum concentration of the sample extract can be used as input to quickly calculate and generate the comprehensive ecotoxicity of the evaluation object through the prediction model, thereby effectively improving the evaluation efficiency of the comprehensive ecotoxicity of the FCC waste catalyst.

[0052] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application and to implement it according to the contents of the specification, and to make the above and other purposes, technical features and advantages of the present application easier to understand, one or more preferred embodiments are listed below and described in detail with the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments recorded in the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without paying any creative work.

[0054] Figure 1 Schematic diagram of the steps of the method for evaluating the toxicity of spent catalysts according to the present invention;

[0055] Figures 2 to 18 Schematic diagram of the growth curve of the capricornis hornwort described in the present invention;

[0056] Figure 19 is the fitting R of the prediction model described in the present invention 2 Schematic diagram of values;

[0057] Figure 20 Schematic diagram of the structure of the waste catalyst toxicity assessment device of the present invention;

[0058] Figure 21 It is a schematic structural diagram of the waste catalyst toxicity assessment equipment described in the present invention. DETAILED DESCRIPTION

[0059] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making any creative efforts shall fall within the scope of protection of the present invention.

[0060] Example 1

[0061] In order to improve the efficiency of the evaluation of the comprehensive ecotoxicity of FCC spent catalysts, reference Figure 1 , an embodiment of the present invention provides a method for evaluating the toxicity of a spent catalyst, comprising:

[0062] S11, preparing a sample agent extract solution based on a sample agent of the FCC spent catalyst to be evaluated;

[0063] Prior art methods for assessing the toxicity of FCC spent catalysts have been used to quickly obtain results by measuring the metal concentration in the leachate or the metal content of the spent catalyst and comparing it with national standards to determine if the metal concentration exceeds the standard. While this method is highly efficient, it relies solely on metal concentrations to determine the overall ecotoxicity of the spent catalyst and, therefore, cannot directly reflect its impact on the ecological environment.

[0064] In addition, the existing methods for evaluating the comprehensive ecotoxicity of waste catalysts (such as model organism-based toxicity evaluation methods) are complex and time-consuming. They require model organism cultivation, exposure concentration determination, experimental implementation, and other processes, which can take up to 7-15 days. Therefore, they are not suitable for real-time monitoring of waste catalysts.

[0065] The inventive concept of the embodiment of the present invention includes organically combining a metal concentration determination toxicity evaluation method with a model organism-based toxicity evaluation method. First, a sample extract is prepared based on a sample of the FCC waste catalyst to be evaluated.

[0066] In practical applications, the sample extract can be prepared according to the "Solid Waste Leaching Toxicity Leaching Method Sulfuric Acid and Nitric Acid Method (HJ / T299-2007)". Specifically, the steps for preparing the sample extract may include:

[0067] Collect the FCC spent catalyst, which has the appearance of dry grey powder and is directly used for the preparation of the leaching solution without any pre-treatment; the amount of the FCC spent catalyst collected is >150g;

[0068] Add a mixture of concentrated sulfuric acid and concentrated nitric acid in a mass ratio of 2:1 to deionized water (add about 2 drops of the mixture to 1 L of deionized water) to adjust the pH of the deionized water to 3.20 ± 0.05;

[0069] Accurately weigh 150 g of spent FCC catalyst and place it in a 2 L wide-mouth bottle (glass or polyethylene (PE) bottle) with a screw cap and inner cap, and then add 1.5 L of the above-mentioned deionized water with a pH of 3.20 ± 0.05;

[0070] After tightening the cap of the wide-mouth bottle, place it on a flip-type shaker, adjust the speed to 30±2r / min, and shake at 23±2℃ for 18±2h;

[0071] The shaken sample is filtered using a pressure filter and a 0.45 μm microporous filter membrane, and the resulting filtrate is the sample extract.

[0072] S12, determining the nickel concentration CNi and the lanthanum concentration CLa in the sample agent leaching solution;

[0073] The metal nickel is a metal with an ordinal number of 28 in the periodic table, and the metal lanthanum is a metal with an ordinal number of 57 in the periodic table.

[0074] After obtaining the sample extract of the evaluation object, it is necessary to determine the nickel concentration and lanthanum concentration in the sample extract. In practical applications, the nickel concentration and lanthanum concentration can be determined using an inductively coupled plasma optical emission spectrometer (ICP-OES), an atomic absorption spectrophotometer, or other methods. The detection limit generally needs to be higher than 0.1 mg / L.

[0075] S13. Obtaining prediction results of a growth inhibition experiment of the sample agent extract on Selaginella capricornis (96-h acute toxicity experiment of Selaginella capricornis) according to the prediction model;

[0076] The prediction model includes formula (1): ln(EC 50 )=0.817+exp(1.356-1.736×CNi-0.262×CLa);

[0077] Wherein, CNi is the nickel concentration in the sample extract, in mg / L; CLa is the lanthanum concentration in the sample extract, in mg / L; ln(EC 50 ) is the logarithmic value of the half-maximal effect concentration of the sample agent extract on Capricornis hornii, which refers to the concentration of the sample agent extract that can cause 50% of the maximum effect on Capricornis hornii, and the unit is %.

[0078] In the embodiment of the present invention, the toxicity evaluation method of metal concentration determination and the toxicity evaluation method based on model organisms are organically combined by constructing a prediction model; the prediction model constructed in the embodiment of the present invention includes a fitting formula (i.e., formula (1)): ln(EC 50)=0.817+exp(1.356-1.736×CNi-0.262×CLa);

[0079] Wherein, CNi is the nickel concentration in the sample extract, in mg / L; CLa is the lanthanum concentration in the sample extract, in mg / L; ln(EC 50 ) is the logarithmic value of the half-maximal effect concentration of the sample agent extract on Capricornis hornii, which refers to the concentration of the sample agent extract that can cause 50% of the maximum effect on Capricornis hornii, and the unit is %.

[0080] Formula (1) is fitted by 96-h acute toxicity test data of extracts prepared from various FCC waste catalysts from different FCC units on Selenastrum capricornutum. Preferably, the Selenastrum capricornutum used in the experiments in the embodiments of the present invention is from the Freshwater Algae Species Bank of the Chinese Academy of Sciences, and its Latin name is Pseudokirchneriella subcapitata or Selenastrum capricornutum.

[0081] The prediction model for ecotoxicity assessment of FCC waste catalysts in the embodiment of the present invention can directly predict the toxicity of the FCC waste catalysts being monitored based on the metal concentration in the leachate. The embodiment of the present invention can achieve direct and rapid determination of the ecotoxicity of FCC waste catalysts without the need for complex and time-consuming acute ecotoxicity experiments. 2 The value reaches 0.926. Therefore, the prediction model has a high accuracy in predicting the acute toxicity of Selaginella fasciata to FCC waste catalysts and is fully applicable to the actual real-time toxicity monitoring needs.

[0082] The prediction model in the embodiment of the present invention can be used to quickly predict the ecotoxicity of FCC waste catalysts, providing an accurate and efficient basis for determining the toxicity of FCC waste catalysts for hierarchical management and control.

[0083] In summary, the embodiment of the present invention organically combines the metal concentration determination toxicity assessment method and the model organism-based toxicity evaluation method to obtain a prediction model that can quickly predict the comprehensive toxicity of FCC waste catalysts by metal concentration. In the present invention, formula (1) in the prediction model is fitted by the 96-h acute toxicity experimental data of extracts prepared from a variety of FCC waste catalysts from different FCC units on Selaginella fasciata. Due to the goodness of fit of the prediction model in the present invention (i.e., the fitting R 2value) can reach 0.926. Therefore, after obtaining the sample extract of the FCC waste catalyst to be evaluated, the nickel concentration and lanthanum concentration of the sample extract can be used as input to quickly calculate and generate the comprehensive ecotoxicity of the evaluation object through the prediction model, thereby effectively improving the evaluation efficiency of the comprehensive ecotoxicity of the FCC waste catalyst.

[0084] Example 2

[0085] refer to Figure 2 Based on the first embodiment, the embodiment of the present invention may further include the following steps:

[0086] Formula (1) is fitted by the 96-hour acute toxicity test data of extracts prepared from various FCC waste catalysts from different FCC units on Selaginella fasciata. The specific method may include:

[0087] preparing a plurality of experimental samples of spent catalyst leachate, each of the experimental samples having a different nickel concentration and a different lanthanum concentration;

[0088] The concentrations of various metals in the experimental sample solution were measured, and the results are shown in the following table:

[0089]

[0090]

[0091] The experimental concentration gradient of each experimental sample solution was determined through preliminary experiments (see table below);

[0092]

[0093] Generate the growth curves of the algae under different concentration gradients of the experimental sample solution (such as Figures 2 to 18 shown).

[0094] According to the growth curve of Capricornis hornwort, the area under the growth curve was calculated according to the following formula (Formula 2);

[0095]

[0096] Where N0 and N i The times are t0 and t i The algal cell density at .

[0097] The growth inhibition rate of the algae under different concentration gradient treatments of the experimental sample solution relative to the control group was calculated according to the following formula (Formula 3);

[0098]

[0099] Where, %I is the inhibition rate, A Cis the area under the growth curve of microalgae in the control group, A T It is the area under the growth curve of microalgae in the treatment group with the experimental sample solution added.

[0100] According to the growth inhibition rate value, the probability unit regression analysis method was used to calculate the 96h half response concentration value (96h EC 50 The results are shown in the table below:

[0101]

[0102]

[0103] Wherein, *Y is the probability unit obtained from the inhibition rate, and X is the logarithmic value of the sample concentration.

[0104] The 96h EC of each experimental sample was 50 The correlation between the values ​​and the concentrations of various metals in the sample solution was determined. The results showed that the concentrations of metal Ni and metal La were significantly correlated with the 96h EC 50 There was a significant correlation between the values ​​(P < 0.001);

[0105] Ni concentration and La concentration were used as independent variables, and EC 50 The value is the dependent variable, and SPSS software is used to perform multivariate nonlinear fitting to obtain the fitting formula (1);

[0106] After formula (1) is obtained through the above steps, the prediction model constructed by it can be obtained through actual measurement. The fitting R of the prediction model is 2 The value reaches 0.926 (such as Figure 19 Therefore, the prediction model has a high accuracy in predicting the acute toxicity of Selaginella fasciata to FCC waste catalysts and is fully applicable to the actual real-time toxicity monitoring needs.

[0107] The following uses multiple examples to illustrate the accuracy and efficiency of the evaluation results obtained by the prediction model in the embodiments of the present invention:

[0108] Example 1:

[0109] The FCC spent catalyst used as the monitoring object was collected from a refinery. The 96h EC of the spent catalyst to the scleractinian algae was predicted by the evaluation scheme in the embodiment of the present invention. 50 value.

[0110] First, a sample agent leaching solution for generating a sample agent of the FCC spent catalyst is prepared;

[0111] The Ni and La concentrations in the sample extract were determined by ICP-OES; the Ni concentration was 2.25 mg / L and the La concentration was 3.90 mg / L, respectively.

[0112] After being brought into the prediction model in the embodiment of the present invention, ln(EC 50 ) value is 2.38%;

[0113] In comparison, the experimental value obtained from the 96-hour acute toxicity test of the spent FCC catalyst subjected to the same monitoring object by the use of the selaginella fasciata was 2.35%.

[0114] Example 2:

[0115] The spent FCC catalyst was collected from a refinery different from that in Example 1, and its 96h EC for Selaginella fasciata was predicted by the evaluation scheme in the embodiment of the present invention. 50 value.

[0116] First, a sample agent leaching solution for generating a sample agent of the FCC spent catalyst is prepared;

[0117] The Ni and La concentrations in the sample extract were determined by ICP-OES; the Ni concentration was 0.98 mg / L and the La concentration was 0.21 mg / L, respectively.

[0118] After being brought into the prediction model in the embodiment of the present invention, ln(EC 50 ) value is 3.61%;

[0119] For comparison, the experimental value obtained from the 96-hour acute toxicity test of the spent FCC catalyst on the same monitoring object, using the same algae, was 3.98%.

[0120] Example 3:

[0121] The FCC spent catalyst was collected from a refinery different from that in Examples 1 and 2. The 96h EC of the spent catalyst on Selaginella fasciata was predicted by the evaluation scheme in the present invention. 50 value.

[0122] First, a sample agent leaching solution for generating a sample agent of the FCC spent catalyst is prepared;

[0123] The Ni and La concentrations in the sample extract were determined by ICP-OES; the Ni concentration was 0.90 mg / L and the La concentration was 2.40 mg / L, respectively.

[0124] After being brought into the prediction model in the embodiment of the present invention, ln(EC 50 ) value is 3.87%;

[0125] In comparison, the experimental value obtained from the 96-hour acute toxicity test of the spent FCC catalyst subjected to the same monitoring object by the use of the algae Selaginella fasciata was 3.23%.

[0126] As can be seen from the above, the predicted values ​​obtained by the embodiments of the present invention are very close to the experimental values, and the embodiments of the present invention do not need to go through multiple complex and time-consuming experimental processes such as model organism cultivation, exposure concentration determination, and experimental conduct. Therefore, the embodiments of the present invention can effectively improve the timeliness of toxicity assessment and thus can be applied to actual real-time toxicity monitoring needs.

[0127] Example 3

[0128] In another embodiment of the present invention, a waste catalyst toxicity assessment device is provided. Figure 20 The schematic diagram of the structure of the waste catalyst toxicity assessment device provided by the embodiment of the present invention is shown. Figure 1 The device corresponding to the method for evaluating the toxicity of the waste catalyst described in the corresponding embodiment is realized by means of a virtual device. Figure 1 In the corresponding embodiment of the waste catalyst toxicity assessment method, each virtual module constituting the waste catalyst toxicity assessment device can be executed by an electronic device, such as a network device, a terminal device, or a server. The waste catalyst toxicity assessment device in the embodiment of the present invention can implement the waste catalyst toxicity assessment required for industrial control. Specifically, the waste catalyst toxicity assessment device in the embodiment of the present invention includes:

[0129] Concentration measurement unit 01, used to measure the nickel concentration CNi and lanthanum concentration CLa in the sample extract; the sample extract is prepared based on the sample of the FCC spent catalyst to be evaluated;

[0130] Prediction unit 02, for obtaining a prediction result of the growth inhibition experiment of the sample agent extract on the capillaris hornwort according to the prediction model;

[0131] The prediction model includes formula (1): ln(EC 50 )=0.817+exp(1.356-1.736×CNi-0.262×CLa);

[0132] Wherein, CNi is the nickel concentration in the sample extract, in mg / L; CLa is the lanthanum concentration in the sample extract, in mg / L; ln(EC 50 ) is the logarithmic value of the half-maximal effect concentration of the sample agent extract on Capricornis hornii, which refers to the concentration of the sample agent extract that can cause 50% of the maximum effect on Capricornis hornii, and the unit is %.

[0133] Since the working principle and beneficial effects of the waste catalyst toxicity assessment device in the embodiment of the present invention have been Figure 1 The corresponding waste catalyst toxicity assessment method is also recorded and described, so they can be cross-referenced and will not be repeated here.

[0134] Example 4

[0135] Corresponding to the above-mentioned method embodiments, the present application also provides a device for assessing the toxicity of spent catalysts, such as a terminal or server. The server can be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms. The terminal can be, but is not limited to, a smartphone, tablet computer, laptop computer, or desktop computer.

[0136] An example of a hardware block diagram of a waste catalyst toxicity assessment device provided by an embodiment of the present invention is shown in FIG. Figure 21 As shown, this may include:

[0137] Processor 1, communication interface 2, memory 3 and communication bus 4;

[0138] The processor 1, the communication interface 2, and the memory 3 communicate with each other via the communication bus 4;

[0139] Optionally, the communication interface 2 may be an interface of a communication module, such as an interface of a GSM module; the processor 1 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement an embodiment of the present invention.

[0140] The memory 3 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0141] The processor 1 is specifically configured to execute the computer program stored in the memory 3 to perform the following steps:

[0142] S11, preparing a sample agent extract solution based on a sample agent of the FCC spent catalyst to be evaluated;

[0143] S12, determining the nickel concentration CNi and the lanthanum concentration CLa in the sample agent leaching solution;

[0144] S13, obtaining a prediction result of the growth inhibition experiment of the sample agent extract on the capillaris hornwort according to the prediction model;

[0145] The prediction model includes formula (1): ln(EC 50)=0.817+exp(1.356-1.736×CNi-0.262×CLa);

[0146] Wherein, CNi is the nickel concentration in the sample extract, in mg / L; CLa is the lanthanum concentration in the sample extract, in mg / L; ln(EC 50 ) is the logarithmic value of the half-maximal effect concentration of the sample agent extract on Capricornis hornii, which refers to the concentration of the sample agent extract that can cause 50% of the maximum effect on Capricornis hornii, and the unit is %.

[0147] The waste catalyst toxicity assessment device in the embodiment of the present invention, when the program instructions included in its computer program product are executed by a computer, can enable the computer to execute the waste catalyst toxicity assessment method described in the above aspects and achieve the same technical effects.

[0148] Example 5

[0149] In an embodiment of the present invention, a storage medium is further provided. The storage medium may store a program suitable for execution by a processor, wherein the program is used to:

[0150] S11, preparing a sample agent extract solution based on a sample agent of the FCC spent catalyst to be evaluated;

[0151] S12, determining the nickel concentration CNi and the lanthanum concentration CLa in the sample agent leaching solution;

[0152] S13, obtaining a prediction result of the growth inhibition experiment of the sample agent extract on the capillaris hornwort according to the prediction model;

[0153] The prediction model includes formula (1): ln(EC 50 )=0.817+exp(1.356-1.736×CNi-0.262×CLa);

[0154] Wherein, CNi is the nickel concentration in the sample extract, in mg / L; CLa is the lanthanum concentration in the sample extract, in mg / L; ln(EC 50 ) is the logarithmic value of the half-maximal effect concentration of the sample agent extract on Capricornis hornii, which refers to the concentration of the sample agent extract that can cause 50% of the maximum effect on Capricornis hornii, and the unit is %.

[0155] Optionally, the detailed functions and extended functions of the program may refer to the above description.

[0156] The above-mentioned product can execute the method provided by the embodiment of the present invention, and has the functional modules and beneficial effects corresponding to the execution method. For technical details not fully described in this embodiment, please refer to the method provided by the embodiment of the present invention.

[0157] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0158] In the several embodiments provided herein, it should be understood that the disclosed systems, devices, and methods may be implemented in other ways. Furthermore, the couplings or direct couplings or communication connections shown or discussed may be indirect couplings or communication connections through interfaces, devices, or units, and may be electrical, mechanical, or other forms.

[0159] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0160] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0161] It should be understood that in the embodiments of the present application, the various embodiments and features can be combined with each other to solve the aforementioned technical problems.

[0162] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0163] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be

[0164] The present invention is not limited to the embodiments shown herein, but is intended to be consistent with the principles and novelties disclosed herein.

[0165] The widest range of consistent characteristics.

Claims

1. A method for evaluating the toxicity of a spent catalyst, characterized in that: Including steps: S11, preparing a sample agent extract solution based on a sample agent of the FCC spent catalyst to be evaluated; S12, determining the nickel concentration CNi and the lanthanum concentration CLa in the sample agent leaching solution; S13, obtaining a prediction result of the growth inhibition experiment of the sample agent extract on the capillaris hornwort according to the prediction model; The prediction model includes formula (1): ln(EC 50 )=0.817+exp(1.356-1.736×CNi-0.262×CLa); Wherein, CNi is the nickel concentration in the sample extract, in mg / L; CLa is the lanthanum concentration in the sample extract, in mg / L; ln(EC 50 ) is the logarithmic value of the half-maximal effect concentration of the sample agent extract on Capricornis hornii, which refers to the concentration of the sample agent extract that can cause 50% of the maximum effect on Capricornis hornii, and the unit is %.

2. The method for evaluating the toxicity of a waste catalyst according to claim 1, wherein: include: The sample agent extract is prepared in accordance with the "Solid Waste Leaching Toxicity Leaching Method Sulfuric Acid and Nitric Acid Method (HJ / T299-2007)".

3. The method for evaluating the toxicity of a waste catalyst according to claim 1 or 2, wherein: The preparation of the sample extract comprises: Collect the FCC spent catalyst, which has the appearance of dry grey powder and is directly used for the preparation of the leaching solution without any pre-treatment; the amount of the FCC spent catalyst collected is >150g; A mixture of concentrated sulfuric acid and concentrated nitric acid at a mass ratio of 2:1 was added to deionized water to adjust the pH of the deionized water to 3.20 ± 0.05; Accurately weigh 150 g of spent FCC catalyst and place it in a 2 L wide-mouth bottle with a screw cap and inner cap, then add 1.5 L of the above-mentioned deionized water with a pH of 3.20 ± 0.05; After tightening the cap of the wide-mouth bottle, place it on a flip-over shaker, adjust the speed to 30±2r / min, and shake at 23±2℃ for 18±2h; The shaken sample is filtered using a pressure filter and a 0.45 μm microporous filter membrane, and the obtained filtrate is the sample agent extract.

4. The method for evaluating the toxicity of a waste catalyst according to claim 3, wherein: The method of determining the nickel concentration CNi and the lanthanum concentration CLa in the sample extract comprises: Inductively coupled plasma optical emission spectrometer (ICP-OES) and / or atomic absorption spectrophotometer were used.

5. The method for evaluating the toxicity of a spent catalyst according to claim 4, wherein: include: The formula (1) is fitted by the 96-hour acute toxicity test results of extracts prepared from various FCC waste catalysts from different FCC units on the algae. The fitting R 2 The value is 0.

926.

6. The method for evaluating the toxicity of a spent catalyst according to claim 5, wherein: The algae is from the freshwater algae collection of the Chinese Academy of Sciences, and its Latin name is: Pseudokirchneriella subcapitata or Selenastrum capricornutum.

7. The method for evaluating the toxicity of a waste catalyst according to claim 6, wherein: The formula (1) is fitted by the results of 96-hour acute toxicity tests on Selaginella fasciata using extracts prepared from various FCC waste catalysts from different FCC units, including: preparing a plurality of experimental samples of spent catalyst leachate, each of the experimental samples having a different nickel concentration and a different lanthanum concentration; Generating growth curves of the Capricornis hornii for each of the experimental sample solutions; According to the growth curve of Capricornis sphenanthera, calculate the area under the growth curve; Calculate the growth inhibition rate of the Selaginella fasciata treated with each of the experimental liquids relative to the control group; According to the growth inhibition rate value, the median effective concentration (96h EC) of each experimental solution was calculated using the probability unit regression analysis method. 50 ).

8. A waste catalyst toxicity assessment device, characterized in that: include: Concentration measurement unit, used to measure nickel concentration CNi and lanthanum concentration CLa in the sample extract; The sample agent extract is generated based on the sample agent of the FCC waste catalyst to be evaluated; A prediction unit, configured to obtain a prediction result of an experiment on the growth inhibition of the sample agent extract on the cercaria capricornis based on a prediction model; The prediction model includes formula (1): ln(EC 50 )=0.817+exp(1.356-1.736×CNi-0.262×CLa); Wherein, CNi is the nickel concentration in the sample extract, in mg / L; CLa is the lanthanum concentration in the sample extract, in mg / L; ln(EC 50 ) is the logarithmic value of the half-maximal effect concentration of the sample agent extract on Capricornis hornii, which refers to the concentration of the sample agent extract that can cause 50% of the maximum effect on Capricornis hornii, and the unit is %.

9. The waste catalyst toxicity assessment device according to claim 8, characterized in that: include: The sample agent extract is prepared in accordance with the "Solid Waste Leaching Toxicity Leaching Method Sulfuric Acid and Nitric Acid Method (HJ / T299-2007)".

10. The waste catalyst toxicity assessment device according to claim 9, characterized in that: The method of determining the nickel concentration CNi and the lanthanum concentration CLa in the sample extract comprises: Inductively coupled plasma optical emission spectrometer (ICP-OES) and / or atomic absorption spectrophotometer were used.

11. The waste catalyst toxicity assessment device according to claim 10, characterized in that: include: The formula (1) is fitted by the 96-hour acute toxicity test results of extracts prepared from various FCC waste catalysts from different FCC units on the algae. The fitting R 2 The value is 0.

926.

12. A waste catalyst toxicity assessment device comprising: memory for storing computer programs; A processor is configured to call and execute the computer program to implement the various steps of the method for evaluating the toxicity of a spent catalyst according to any one of claims 1 to 7.

13. A storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the computer program implements the steps of the method for evaluating the toxicity of a spent catalyst according to any one of claims 1 to 7.

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