Cleaner Chemical Engineering最新文献

{"title":"Erratum Regarding Previously Published Articles","authors":"","doi":"10.1016/j.clce.2022.100086","DOIUrl":"https://doi.org/10.1016/j.clce.2022.100086","url":null,"abstract":"","PeriodicalId":100251,"journal":{"name":"Cleaner Chemical Engineering","volume":"5 ","pages":"Article 100086"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49713026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Solid-liquid microwave-assisted extraction of bioactive extract recovery from Hunteria umbellata seeds: Non-mechanistic modelling, bi-objective optimization, HPLC finger printing and scale-up techno-economics with sensitivity analysis","authors":"E. O Oke ,&nbsp;O Adeyi ,&nbsp;B. I Okolo ,&nbsp;J. A Adeyi ,&nbsp;D Nnabodo ,&nbsp;Chiamaka Joan Ude ,&nbsp;O. O Ajala ,&nbsp;S. E Okhale ,&nbsp;Jude A． Okolie ,&nbsp;J. A Otolorin ,&nbsp;B. K Adeoye ,&nbsp;A. S Anyanwu","doi":"10.1016/j.clce.2023.100097","DOIUrl":"https://doi.org/10.1016/j.clce.2023.100097","url":null,"abstract":"<div><p>Previous investigations reported evaluation of biological, therapeutic and pharmacological activities of phenolic bioactive extract from <em>Huntaria Umbellate</em> Seed (HUS). However, process modelling and optimization, upscaling as well as techno-economic evaluation of Microwave-Assisted Extraction (MAE) of HUS are seldom documented in the literature. Therefore, this study presents black-box modelling, optimization and techno-economics of MAE of HUS. Box-Behken Design (BBD) of Response Surface Methodology (RSM) was applied for modelling and optimizing experimental MAE factors: microwave power (520 – 1040 W), extraction time (2- 10 min), solid-liquid ratio (0.4 – 1 g/100 ml); and the responses: Total Phenolic Content (TPC) and Process Yield (PY). Adaptive Neuro-Fuzzy Inference System (ANFIS) codes were programmed in Matlab 2019 for the phenolic extract recovery prediction. Process scale-up simulation and techno-economics were performed in ASPEN Batch Process Developer (ABPD) software. Coefficients of determination (R²) of 0.9349 (BBD-RSM), 0.9959 (ANFIS) and 0.9772 (BBD-RSM), 0.9971 (ANFIS) were obtained for TPC and yield respectively. The optimal yield (24.2625%) and TPC (7.89125 mg GAE/gdw) were obtained at extraction time (2 min) with microwave power (780 W) and solid-liquid ratio (0.4 g/ml). HUS extract HPLC result contains bentulinic acid, chlorogenic acid, caffeic acid, elliagic acid, rutin and Qucertin. Techno-economic results gave batch size, batch time, production rate, total capital investment, annual production cost and payback time of 5 kg, 137 mins, 0.0364 kg/min, USD80398, USD456000 and 2.29 years respectively. Therefore, preliminary bioactive extract production from HUS is techno-economically feasible.</p></div>","PeriodicalId":100251,"journal":{"name":"Cleaner Chemical Engineering","volume":"5 ","pages":"Article 100097"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49706642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Eulerian computational fluidisation modelling using OpenFOAM applied to a semi-industrial fluidised bed reactor and pilot plant application","authors":"Vitor A.L. Monteiro ,&nbsp;Maurício G.A. Reis ,&nbsp;Luciano R. Infiesta ,&nbsp;Cassius R.N. Ferreira ,&nbsp;Marcelo B. dos Santos ,&nbsp;Alam G. Trovó ,&nbsp;Solidônio R. Carvalho","doi":"10.1016/j.clce.2022.100089","DOIUrl":"https://doi.org/10.1016/j.clce.2022.100089","url":null,"abstract":"<div><p>Simulations of a fluidised bed reactor for gasification of municipal solid refuse-derived fuel were performed using OpenFOAM software. Firstly, evaluation was made of a simplified gas-solid two-phase model, considering sand and air as the components, according to a transient Eulerian-Eulerian approach. A scale-up study was also performed to obtain thermal-fluid dynamic parameters. Then, a real dimensions non-reacting model was developed, based on the experimental information from a semi-industrial gasification plant with capacity for processing 7.1 t day⁻¹ of municipal refuse-derived fuel, producing 16.9 t day⁻¹ of syngas. The fluidising regime was mapped for different inlet conditions, at 1,123 K, with air velocities ranging from 0.01 to 1.25 m s⁻¹, and the continuous operation of the reactor was analysed, where in the solid particles packing remained at approximately 88% from maximum, with bed height of 2.05 m. The results were in good agreement with data available in the scientific literature, and the computational model was able to provide consistent results when compared to the experimental information for the semi-industrial reactor. The authors’ major remark was the hability of this computational model in obtaining consistent results from simulations of the semi-industrial scale reactor, with good prediction of the internal fluid dynamics characteristics.</p></div>","PeriodicalId":100251,"journal":{"name":"Cleaner Chemical Engineering","volume":"5 ","pages":"Article 100089"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49706532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Designing a modified Tchar stove and evaluation of its thermal performance","authors":"Abdullah Faisal Pasha,&nbsp;Mustafa Asif Ali,&nbsp;Hridoy Roy,&nbsp;Md. Mominur Rahman","doi":"10.1016/j.clce.2023.100096","DOIUrl":"https://doi.org/10.1016/j.clce.2023.100096","url":null,"abstract":"<div><p>In this research, we have developed an energy-efficient modified version of the traditional Tchar stove for household use. The gasifier and charcoal stoves of a traditional Tchar have been incorporated into a single structure by movable fuel bed and pot support for the ease of operation .Traditional Tchar stove utilizes unidirectional preheated secondary air stream, which is unable to reach the flame core efficiently, and results in poor combustion. The modified Tchar stove under this study was designed with the provision of two preheated secondary air streams from opposite direction for crossflow mixing of secondary air and gaseous fuel for improved combustion. The characteristics parameters of the modified Tchar stove were measured following the standard water boiling test (WBT) method to compare with previously reported models. The high power (cold start), and simmering phases were used in WBT for the evaluation of the thermal performance of the modified Tchar stove. The thermal efficiency of the Tchar stove was 39.64±2.29% for the cold start high power phase and 51±3.12% for the low power simmering phase, respectively. In the cold start high power phase, the specific energy consumption values ranged from 1465.99 to 1855.9 kJ/liter. The thermal efficiency of the modified Tchar stove increased with decreasing firepower (kW). The designed stove allows enhanced heat transfer both at low and high fire power with its moveable structure. Moreover, it gives better combustion due to the cross-flow air mixing, which makes it a better alternative compared to the traditional Tchar stove.</p></div>","PeriodicalId":100251,"journal":{"name":"Cleaner Chemical Engineering","volume":"5 ","pages":"Article 100096"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49706980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial neuro-fuzzy intelligent prediction of techno-economic parameters of computer-aided scale-up for palm kernel oil based biodiesel production","authors":"Olajide Olukayode Ajala ,&nbsp;Emmanuel Olusola Oke ,&nbsp;Oludare Johnson Odejobi ,&nbsp;Babatunde Kazeem Adeoye ,&nbsp;Joel Olatunbosun Oyelade","doi":"10.1016/j.clce.2023.100098","DOIUrl":"https://doi.org/10.1016/j.clce.2023.100098","url":null,"abstract":"<div><p>Palm kernel oil (PKO) is one of the promising starting materials for biodiesel production. Economic viability of large-scale biodiesel production from PKO happens to be the major challenge, as investors would like to know the overall cost-benefit value before making decisions. Therefore, this study develops artificial intelligence (AI) techno-economic models for predicting overall cost-benefit value which will provide fundamental investment decisions for potential investors. The two AI techniques used in this study were artificial neural networks (ANN) and adaptive neuro-fuzzy inference system (ANFIS). The input-output data for modelling was gotten from a previous work which based solely on experimental design for PKO for biodiesel production. The input variables are Methanol:oil ratio, temperature, catalyst quantity, residence time and catalyst calcination temperature, while return on investment (ROI), payback time (PBT), net present value (NPV) and production capacity (PC) are the responses. ANN and Fuzzy Logic Toolboxes in MATLAB R2013a were used for model implementation. The developed models were appraised using statistical indices such as coefficient of determination (R²) and root mean square error (RMSE). The results showed that, trimf based ANFIS models (ROI- R²: 0.9999; RMSE: 7.39 × 10⁻⁷; PBT- R²: 0.9999; RMSE: 5.32 × 10⁻⁷; NPV- R²: 0.9999; RMSE: 5.89 × 10⁻⁷; PC- R²: 0.9999; RMSE: 5.89 × 10⁻⁷) performed marginally better than ANN models (ROI- R²: 0.9496; RMSE: 0.0599; PBT- R²: 0.9945; RMSE: 0.0373; NPV- R²: 0.9957; RMSE: 0.0384; PC- R²: 0.9959; RMSE: 0.0376). Also, the relative significance of input parameters based on sensitivity analysis showed catalyst calcination temperature (C_T) as the most significant input parameter. These findings show that both the ANFIS and ANN models are effective in predicting techno-economic parameters.</p></div>","PeriodicalId":100251,"journal":{"name":"Cleaner Chemical Engineering","volume":"5 ","pages":"Article 100098"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49713010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The potential for hydrogen ironmaking in New Zealand","authors":"Cassidy van Vuuren ,&nbsp;Ao Zhang ,&nbsp;James T. Hinkley ,&nbsp;Chris W. Bumby ,&nbsp;Matthew J. Watson","doi":"10.1016/j.clce.2022.100075","DOIUrl":"10.1016/j.clce.2022.100075","url":null,"abstract":"<div><p>Globally, iron and steel production is responsible for approximately 6.3% of global man-made carbon dioxide emissions, because coal is used as both the combustion fuel and chemical reductant. Hydrogen reduction of iron ore offers a potential alternative ‘near-zero-CO₂’ route, if renewable electrical power is used for both hydrogen electrolysis and reactor heating. This paper discusses key technoeconomic considerations for establishing a hydrogen direct reduced iron (H₂-DRI) plant in New Zealand. The location and availability of firm renewable electricity generation is described, the experimental feasibility of reducing locally-sourced titanomagnetite ironsand in hydrogen is shown, and a high-level process flow diagram for a counter-flow electrically heated H₂-DRI process is developed. The minimum hydrogen composition of the reactor off-gas is 46%, necessitating the inclusion of a hydrogen recycle loop to maximise chemical utilisation of hydrogen and minimize costs. A total electrical energy requirement of 3.24 MWh per tonne of H₂-DRI is obtained for the base-case process considered here. Overall, a maximum input electricity cost of no more than US$80 per MWh at the plant is required to be cost-competitive with existing carbothermic DRI processes. Production cost savings could be achieved through realistic future improvements in electrolyser efficiency (∼ US$5 per tonne of H₂-DRI) and heat exchanger (∼US$3 per tonne). We conclude that commercial H₂-DRI production in New Zealand is entirely feasible, but will ultimately depend upon the price paid for firm electrical power at the plant.</p></div>","PeriodicalId":100251,"journal":{"name":"Cleaner Chemical Engineering","volume":"4 ","pages":"Article 100075"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772782322000730/pdfft?md5=6d2d8cac15a4d9553e69123e9e57e362&pid=1-s2.0-S2772782322000730-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74097758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Performance evaluation of Bi2Te3-xSex (0.10 ≤ X ≤ 1.80) thermoelectric nanostructured materials","authors":"Hayati Mamur ,&nbsp;Mehmet Ali Üstüner ,&nbsp;Ömer Faruk Dilmaç ,&nbsp;Mohammad Ruhul Amin Bhuiyan","doi":"10.1016/j.clce.2022.100063","DOIUrl":"10.1016/j.clce.2022.100063","url":null,"abstract":"<div><p>Traditional materials have a lower commercial impact than thermoelectric (TE) nanostructure materials. These materials have advanced to the point that a thermoelectric generator (TEG) may be built using them. Bi₂Te_3-xSe_x (0.10 ≤ X ≤ 1.80) nanostructure materials would overcome the constraint of Bi₂Te₃ for TEG manufacturing in advanced TE technology. Bi₂Te_3-xSe_x (0.10 ≤ X ≤ 1.80) nanostructure materials have recently been recognized as promising TE materials from the research arena for successful use in TEG manufacture. It is already at the commercialization stage and has certain advantages over Bi₂Te₃. This material's study and development will almost certainly be difficult. The review lays forth a literature strategy for overcoming the constraints of the Bi₂Te₃ nanostructure material and finding the best composition for TE applications. Furthermore, the performance of existing Bi₂Te_3-xSe_x (0.10 ≤ X ≤ 1.80) nanostructured materials is discussed.</p></div>","PeriodicalId":100251,"journal":{"name":"Cleaner Chemical Engineering","volume":"4 ","pages":"Article 100063"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772782322000614/pdfft?md5=41518b4efc55bdaca6438bc764304c21&pid=1-s2.0-S2772782322000614-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74639721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Detection of pyrene degrading bacterial strains (LOP-9 Staphylococcus aureus and GWP-2 Mycobacterium vaanbaalenii) and their metabolic products","authors":"Beema Kumari,&nbsp;Harish Chandra,&nbsp;Ram Chandra","doi":"10.1016/j.clce.2022.100080","DOIUrl":"10.1016/j.clce.2022.100080","url":null,"abstract":"<div><p>Pyrenes are polycyclic aromatic hydrocarbons responsible for an array of health hazards and environmental abuses. The remediation of such compounds is remaining as an area of interest for scientist community. The present study aimed for isolation and screening of pyrene degrading bacterial strains optimized at various environmental and nutritional requirement to assess their potential for pyrene degradability. The result have revealed that isolated strain GWP-2 and LOP-9 showed degradation of pyrene 86% and 82.1%, respectively at temperature 37 °C and pH 9 in presence of glucose(1%) and peptone(0.5%) within 15 days of incubated at 140 rpm in temperature controlled shaker. The variation of temperature and pH from optimized condition decrease the performance of isolated strains. The metabolite characterization through GCMS showed strain GWP-2 9,12-octadecadienoic acid, Oxido-4,17-cholestadian-3a,16a-diol, Heptadecane,2,6,10,15-tetramethyl, Heptacosane, 1,2-benzenedicarboxylic acid and Octadecane 3-ethyl-5-(2-ethylbutyl) as major product while LOP-9 showed their major product as Disiloxane,hexamethyl-(CAS), Benzene -1,2,4-triol(trimethylsilyl) ester, Octahydroquinoline-6-carboxylic acid(phenylethyl amide) and 4-methyl1,4‑hydroxy-6-(2,5,6,6′-tetramethylcyclohex-1-en-1-yl)hex-2-ynyl acetate after 15 days degradation. Many compounds detected in control were completely removed. The isolated strains were identified as <em>Mycobacterium vaanbaalenii</em> GWP-2 (ON715011) and <em>Staphylococcus aureus</em> LOP-9(ON715121) based their 16s-rRNA sequencing. These potential strains may be useful for detoxification of pyrene containing pollution in soil and water ecosystem.</p></div>","PeriodicalId":100251,"journal":{"name":"Cleaner Chemical Engineering","volume":"4 ","pages":"Article 100080"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S277278232200078X/pdfft?md5=91428f15805e6e3b543fe47bfcea1eca&pid=1-s2.0-S277278232200078X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81480735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A comprehensive study of bioremediation for pharmaceutical wastewater treatment","authors":"Smer Lakhani ,&nbsp;Diya Acharya ,&nbsp;Rishi Sakariya ,&nbsp;Devansh Sharma ,&nbsp;Prachi Patel ,&nbsp;Manan Shah ,&nbsp;Mitul Prajapati","doi":"10.1016/j.clce.2022.100073","DOIUrl":"10.1016/j.clce.2022.100073","url":null,"abstract":"<div><p>Quality water is used for various daily chores like drainage, drinking, sanitation, agricultural, and other industrial applications, thus being the need of the hour. Water is a dominant raw material in manufacturing pharmaceuticals and chemicals; reliable and superior water sources are needed for many processes, including cooling, refining, and material extraction. The purpose of urban and industrial wastewater treatment is to eliminate contaminants, destroy toxicants, neutralise coarse particles, and destroy bacteria to increase the consistency of the discharged water to maintain the allowable amount of water to be discharged into or for agricultural property. So, the goal of water treatment is to lower BOD, COD, eutrophication, etc., in receiving water sources and stop radioactive compounds from spreading through the food chain. Pharmaceutical wastewater has a wide range of characteristics, including a high amount of organic matter, microbial contamination, a high salt content, and the inability to biodegrade. Following secondary application, residual quantities of suspended solids and dissolved organic matter exist. Therefore, advanced treatment is necessary to increase the efficiency of pharmaceutical wastewater effluent. In the methods described in this study, Advanced Oxidation and Bioremediation—the latter emerges as the most environmentally and commercially viable option. This paper discusses the many types of bioremediations, their applications, and their limits in the treatment of industrial wastewater with the goal of reducing the ecotoxicological impacts of pharmaceutical wastewater.</p></div>","PeriodicalId":100251,"journal":{"name":"Cleaner Chemical Engineering","volume":"4 ","pages":"Article 100073"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772782322000717/pdfft?md5=d16c99843896c798858367b408a3dc49&pid=1-s2.0-S2772782322000717-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80847555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characteristics analysis of supercritical CO2 sub-micron particle deposition in heat exchanger channel","authors":"Shang Mao ,&nbsp;Tao Zhou ,&nbsp;Yao Yao ,&nbsp;Jianyu Tang ,&nbsp;Xiaofang Liu","doi":"10.1016/j.clce.2022.100081","DOIUrl":"10.1016/j.clce.2022.100081","url":null,"abstract":"<div><p>Better understanding of the dispersion and deposition of sub-micron particles in supercritical CO₂ (SCO₂) is crucial for the safe operation of supercritical thermal equipment. In present study, the numerical simulation was carried out to evaluate the deposition features of sub-micron particles in SCO₂. The anisotropic flow in the gas phase was predicted using the Re-Normalization Group (RNG) <em>k-ε</em> turbulent model and the particle trajectory was tracked using the discrete particle model (DPM). Moreover, the particle deposition under heating and cooling condition were presented. The effects of particle type, wall temperature, inlet flow velocity, temperature and pressure on particle deposition were investigated. The analysis found that the deposition velocity is more applicable to judging the particle deposition than the dimensionless deposition velocity. When SCO₂ is cooled, it promotes particle deposition, and when it is heated, it prevents deposition due to thermophoretic forces. Particles are easily deposited when SCO₂ exceeds the pseudo-critical point in the gaseous-like region. Moreover, stainless steel has greater deposition velocity than graphite due to the large density. The inlet flow velocity has different effects on particle deposition. It promotes the deposition of small particles, medium particles remain stable, and large particles first decrease and then increase. The particle diameter is closely related to the deposition distance. The deposition probability for 1 μm, 10 μm and 50 μm is 63%, 77% and 85% at 0–0.2 m, respectively.</p></div>","PeriodicalId":100251,"journal":{"name":"Cleaner Chemical Engineering","volume":"4 ","pages":"Article 100081"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772782322000791/pdfft?md5=d117bfc309773e9a506a242388e02e6a&pid=1-s2.0-S2772782322000791-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84002567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}