Canadian Journal of Chemical Engineering最新文献

{"title":"Optimization of process parameters in supercritical CO2 extraction of rose essential oil: Evaluation of phenolic, flavonoid, and antioxidant profiles","authors":"Aimin He,&nbsp;Suharmiati Suharmiati,&nbsp;Nicky Rahmana Putra","doi":"10.1002/cjce.25583","DOIUrl":"https://doi.org/10.1002/cjce.25583","url":null,"abstract":"<p>This study explores the optimization of supercritical CO₂ extraction parameters (pressure, temperature, and flow rate) to maximize the yield and bioactive content in rose essential oil. Experiments covered a pressure range of 20–30 MPa, temperatures of 40–60°C, and flow rates from 2 to 6 mL/min, aiming to elucidate the effects of these variables on extraction outcomes. Findings indicate that a pressure of 20 MPa, temperature range of 40–50°C, and flow rate of 2–4 mL/min achieved optimal extraction, enhancing both yield and bioactive compound solubility. These specific conditions preserved high levels of phenolic and flavonoid compounds, directly boosting the antioxidant potency of the oil. The non-linear interaction of each parameter highlights the critical balance needed for efficient extraction. This optimized process not only improves the economic viability of rose essential oil production by maximizing bioactive yields but also supports applications in therapeutic and cosmetic fields due to the oil's enriched antioxidant profile.</p>","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"103 7","pages":"3404-3419"},"PeriodicalIF":1.6,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144190824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Titania immobilized over Fe-functionalized beta and silicalite zeolites for tetracycline photocatalytic degradation under visible light","authors":"Ghadeer Jalloul,&nbsp;Nour Hijazi,&nbsp;Hussein Awala,&nbsp;Cassia Boyadjian,&nbsp;Ahmad B. Albadarin,&nbsp;Mohammad N. Ahmad","doi":"10.1002/cjce.25579","DOIUrl":"https://doi.org/10.1002/cjce.25579","url":null,"abstract":"<p>Titania photocatalyst is widely employed in the removal of organic pollutants from water streams. However, TiO₂ suffers from agglomeration and is mostly active under UV light resulting in low system efficiency. In this study, we prepared sol–gel TiO₂ immobilized on beta (BEA) and silicalite zeolites for the photocatalytic degradation of tetracycline antibiotics under visible light. Ferric ions were incorporated into the supported Titania photocatalyst via ion exchange method to enhance its visible light absorption. The deposition of the Titania over BEA zeolite greatly enhanced its adsorption efficiency (from 5.6% to 24%) and surface area (from 90 to 305.9 m²/g) while silicalite support only slightly affected the adsorption of Titania. The scanning electron microscope (SEM) characterization of the photocatalysts indicated that the zeolite structure was conserved after modification and the UV–VIS DRS characterization confirmed the enhancement of visible light absorption. The TiO₂/Fe-Beta was able to degrade 100% of tetracycline (TC) in solution under blue light after 90 min compared to only 30% by TiO₂/Fe-silicalite and 28% by TiO₂. When the weight percentage of TiO₂ in the TiO₂/Fe-silicalite photocatalyst increased from 20% to 60%, its efficiency increased from 87% to 99% after 300 min. Similar results were also obtained under white light, where the TiO₂/Fe-Beta achieved the highest efficiency (81.5%) as compared to TiO₂/Fe-silicalite (66.6%) and TiO₂ (44.7%). We attribute this enhanced performance of TiO₂/Fe-Beta to enhanced adsorption capacity due to BEA immobilization and improved visible light absorption.</p>","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"103 7","pages":"3304-3317"},"PeriodicalIF":1.6,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144190825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adsorptive separation of propionic acid from aqueous medium using efficient anion exchange resins in batch and fixed bed column systems","authors":"Mustafa Esen Marti,&nbsp;Murat Isik,&nbsp;Hani Zeidan","doi":"10.1002/cjce.25581","DOIUrl":"https://doi.org/10.1002/cjce.25581","url":null,"abstract":"<p>The recovery of propionic acid (PA) from aqueous medium using a strongly basic, Lewatit M-600 (LM-600), and a weakly basic, Lewatit MP-62 (LMP-62), anion exchanger was investigated. Medium conditions such as pH, temperature, PA concentration, and resin dose affected the performance of the process. The highest capacities were achieved at pH 5 and 2 with LM-600 and LMP-62, respectively. Equilibrium was reached in 35 min, and the process followed the pseudo-second-order kinetics for both anion exchangers. LMP-62 was more effective at pH values lower than 5. The exothermic process was found to be spontaneous. The maximum capacities of the strong and weak basic exchangers in batch experiments were 135.7 and 363 mg/g, respectively. However, the breakthrough capacities obtained in fixed bed systems were lower than those attained in batch systems (94.75 and 123.73 mg/g for LM-600 and LMP-62, respectively), and the column was successfully regenerated using 0.6 M NaOH. The Freundlich isotherm model yielded the highest determination coefficients in the isotherm analysis, suggesting that physical forces between PA and resins primarily drive the process.</p>","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"103 7","pages":"3368-3378"},"PeriodicalIF":1.6,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144190823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fault estimation for multi-rate descriptor systems using bi-directional long short-term memory neural network","authors":"Dhrumil Gandhi,&nbsp;Meka Srinivasarao","doi":"10.1002/cjce.25577","DOIUrl":"https://doi.org/10.1002/cjce.25577","url":null,"abstract":"<p>Fault estimation in multi-rate descriptor systems, which involve both differential and algebraic states, is particularly challenging due to the complexity introduced by multi-rate measurements. This paper proposes a novel fault estimation approach that combines a differential-algebraic equation based extended Kalman filter (DAE-EKF) with a bi-directional long short-term memory (bi-LSTM) neural network. The DAE-EKF is used to generate multi-rate residuals, which serve as inputs to neural networks to estimate faults. bi-LSTM networks improve upon LSTMs by processing data in both forward and backward directions, using past and future information. This bidirectional approach enhances temporal dependency capture, making bi-LSTMs ideal for accurate fault estimation. The efficacy of the proposed method is demonstrated using simulation studies on a two-phase reactor-condenser system with recycle and a reactive distillation system. The proposed approach has shown superior fault estimation capability for multi-rate descriptor systems compared to DAE-EKF with conventional feedforward neural networks and DAE-EKF with LSTM.</p>","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"103 7","pages":"3247-3269"},"PeriodicalIF":1.6,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144190903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Supercritical carbon dioxide extraction of Polygonum cuspidatum powders: Experiments and modelling","authors":"Min Guo,&nbsp;Ningjie Ruan,&nbsp;Bingxu Yao,&nbsp;Shijie Sheng,&nbsp;Xiaoping Li,&nbsp;Yafeng Zhu,&nbsp;Yukun Liu,&nbsp;Zhen Jiao","doi":"10.1002/cjce.25578","DOIUrl":"https://doi.org/10.1002/cjce.25578","url":null,"abstract":"<p>In recent years, the natural anticancer components resveratrol and emodin have attracted significant attention. This study employs supercritical carbon dioxide (ScCO₂) extraction, using ethanol as a cosolvent, to extract resveratrol and emodin from <i>Polygonum cuspidatum</i> powders. Experiments were conducted at temperatures ranging from 308 to 328 K, pressures from 15 to 30 MPa, ethanol contents of 60 to 160 mL/L, and extraction times between 1800 and 7200 s. The maximum extraction yields of resveratrol and emodin were 2.516 and 2.765 mg/g, respectively, under optimal conditions (temperature: 323 K, pressure: 25 MPa, ethanol content: 100 mL/L, extraction time: 3600 s), determined through one-way experiments. Additionally, a mathematical model of the ScCO₂ extraction process was developed. The mass transfer coefficient (<i>K</i>_f) was used as a fitting parameter and the kinetic model, based on mass conservation, was validated with experimental data. The model demonstrated good accuracy, with a low average absolute relative deviation (AARD) of 4.05%. This model provides theoretical support for industrial scaling and process optimization, achieving maximum extraction efficiency while minimizing CO₂ and ethanol consumption, thereby reducing costs and enhancing environmental benefits. Its establishment framework and methodology offer valuable references for optimizing similar ScCO₂ extraction processes.</p>","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"103 7","pages":"3495-3504"},"PeriodicalIF":1.6,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144190904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of deep eutectic solvent on combustion characteristics of lignite under thermal treatment conditions","authors":"Ping Wu,&nbsp;Jian-Hong Liu,&nbsp;Hao Bi,&nbsp;Shi-Jie Zhang,&nbsp;Jian-Yong Yin,&nbsp;Yu-Jie Yu,&nbsp;Rui Huang","doi":"10.1002/cjce.25575","DOIUrl":"https://doi.org/10.1002/cjce.25575","url":null,"abstract":"<p>The substantial moisture content of lignite imposes considerable constraints on its deep processing and subsequent utilization. A deep eutectic solvent (DES), synthesized from choline chloride (ChCl) and zinc chloride (ZnCl₂), was used to upgrade lignite under thermal treatment conditions. The effects of the DES molar ratio and its addition on the physicochemical and combustion characteristics of lignite were systematically analyzed at 280°C. The results demonstrated that the moisture content of lignite decreased from 22.63% to 5.18%, and then to 6.05%, as the molar ratio of DES was adjusted from 1:1 to 1:3, with the addition of 3 g of DES. This suggests that a DES molar ratio of 1:1 is more effective for lignite upgrading. As the DES addition increased from 1 g to 3 g, the moisture content of lignite decreased from 9.19% to 5.18%. As the molar ratio of ZnCl₂ in DES increased, the maximum combustion rate (V_max) and ignition index (C) of the upgraded coal sample gradually decreased, indicating that lignite upgraded with DES at a 1:1 molar ratio exhibited good combustion performance. The sample treated with 3 g of DES demonstrated the best overall combustion characteristic index (<i>S</i> = 1.8), optimal ignition index (C), and combustion index (<i>R</i>_j), when the DES addition increased from 1 g to 3 g. Compared to raw coal, the activation energy of the upgraded lignite was lower (<i>E</i>ₐ = 63.99 kJ/mol), indicating enhanced combustion reactivity.</p>","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"103 7","pages":"3025-3035"},"PeriodicalIF":1.6,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144191071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Degradation of rhodamine dye using a modified flow photocatalytic reactor in the presence of external oxidants","authors":"Manisha Bagal,&nbsp;Vijay Mane,&nbsp;Harshal Ambulkar,&nbsp;Bhumika Gawande,&nbsp;Makarand Y. Naniwadekar,&nbsp;Kanchan N. Bawankar,&nbsp;Parmanand N. Dange,&nbsp;Ashish V. Mohod,&nbsp;Parag R. Gogate","doi":"10.1002/cjce.25576","DOIUrl":"https://doi.org/10.1002/cjce.25576","url":null,"abstract":"<p>The current work addresses the challenge of effectively degrading Rhodamine B dye, a common environmental pollutant using a modified zig-zag flow type photocatalytic reactor with the main objective of process intensification. A detailed study into the effect of initial dye concentration and operating solution pH on the degradation of Rhodamine B elucidated that the Rh B dye degradation was higher at a lower solution pH (pH 2) and at an optimum initial (20 ppm) dye concentration. Among different photocatalysts studied including TiO₂, ZnO, and CaO, maximum degradation was seen for the TiO₂ with 83.3% at optimum loading of TiO₂ (1 g/L). Lower degradations of 76.2% at 1.5 g/L of ZnO and 65.9% at 1.5 g/L of CaO were seen for other photocatalysts. Additionally, the introduction of oxidants such as hydrogen peroxide and Fenton reagent further intensified dye degradation, with the combined UV/Fenton process achieving maximum degradation of 94.8% and the highest COD removal of 68.4%. Overall, it is recommended to utilize zig-zag flow design photocatalytic reactor with combined Fenton's reagent for optimal dye degradation.</p>","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"103 7","pages":"3058-3070"},"PeriodicalIF":1.6,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144191072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Establishment and simulation study of equivalent model for thermal contact resistance in electronic devices","authors":"Weiqiang Xiao,&nbsp;Xinbo Lu,&nbsp;Ruyu Teng,&nbsp;Qingyi Xu,&nbsp;Jian Wu,&nbsp;Jian Xu,&nbsp;Yufeng Han,&nbsp;Guojun Zhou,&nbsp;Wangcheng Zhan","doi":"10.1002/cjce.25574","DOIUrl":"https://doi.org/10.1002/cjce.25574","url":null,"abstract":"<p>To accurately determine thermal contact resistance (TCR) for the thermal design of electronic devices, a simplified simulation method is first proposed for calculating thermal contact resistance. First, an equivalent geometric model is established based on actual rough surfaces Then, finite element methods are employed to calculate the thermal contact resistance. The results demonstrate that the proposed equivalent geometric model, containing contact point information, can accurately predict the thermal contact resistance, which has a deviation of 10% with the experimental data. Furthermore, the results revealed that both the contact pressure and the surface roughness of the materials significantly influenced TCR, through adjusting the gap thickness. As the contact pressure increased from 200 to 1400 kPa, the TCR decreased from <span></span><math>\u0000 <mrow>\u0000 <mn>6.96</mn>\u0000 <mo>×</mo>\u0000 <msup>\u0000 <mn>10</mn>\u0000 <mrow>\u0000 <mo>−</mo>\u0000 <mn>4</mn>\u0000 </mrow>\u0000 </msup>\u0000 </mrow></math> to <span></span><math>\u0000 <mrow>\u0000 <mn>4.39</mn>\u0000 <mo>×</mo>\u0000 <msup>\u0000 <mn>10</mn>\u0000 <mrow>\u0000 <mo>−</mo>\u0000 <mn>4</mn>\u0000 </mrow>\u0000 </msup>\u0000 <mspace></mspace>\u0000 <msup>\u0000 <mi>m</mi>\u0000 <mn>2</mn>\u0000 </msup>\u0000 <mo>·</mo>\u0000 <mo> </mo>\u0000 <mo>°</mo>\u0000 <mi>C</mi>\u0000 <mo>·</mo>\u0000 <msup>\u0000 <mi>W</mi>\u0000 <mrow>\u0000 <mo>−</mo>\u0000 <mn>1</mn>\u0000 </mrow>\u0000 </msup>\u0000 </mrow></math>. The decrease became more gradual at high contact pressure, indicating a nonlinear relationship between pressure and TCR. On the other hand, the surface roughness affected TCR primarily through the equivalent contact point height, that is, the gap thickness between two samples. Moreover, temperature affected TCR mainly through radiative heat transfer, which was dependent on material intrinsic properties. The developed simplified calculation method can efficiently simulate TCR for electronic devices, which not only enhanced the understanding of TCR behaviour but also provided a practical tool for optimizing thermal designs in electronic devices.</p>","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"103 7","pages":"3482-3494"},"PeriodicalIF":1.6,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144191070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A review of statistical process monitoring methods for non-linear and non-Gaussian industrial processes","authors":"Yang Zhou,&nbsp;Kai Wang,&nbsp;Yilan Zhang,&nbsp;Dan Liang,&nbsp;Li Jia","doi":"10.1002/cjce.25562","DOIUrl":"https://doi.org/10.1002/cjce.25562","url":null,"abstract":"<p>In modern industrial processes, the growing emphasis on product quality and efficiency has led to increased attention on safety and quality issues within industrial processes. Over the past two decades, there has been extensive research into multivariate statistical process monitoring methods. However, basic statistical process monitoring methods still face significant challenges when applied in diverse real-world operating conditions. This paper offers a comprehensive review of statistical process monitoring methods for industrial processes. First, this paper begins by outlining the methodologies and modelling procedures commonly used in statistical process monitoring for industrial processes. Then, examine the current research landscape across various aspects of these methods. Finally, this paper delves into the extensions, opportunities, and challenges within statistical process monitoring for industrial processes, offering insights for future research directions.</p>","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"103 7","pages":"3092-3119"},"PeriodicalIF":1.6,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144190819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Preface to the special issue section: Artificial intelligence and machine learning applications in chemical engineering","authors":"Simant Upreti","doi":"10.1002/cjce.25572","DOIUrl":"https://doi.org/10.1002/cjce.25572","url":null,"abstract":"","PeriodicalId":9400,"journal":{"name":"Canadian Journal of Chemical Engineering","volume":"103 3","pages":"984-985"},"PeriodicalIF":1.6,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143113701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}