Updated on 2026/08/24

Information

 

写真a

 
ADROIT TORIQ NUR FAJAR
 
Organization
International Institute for Carbon-Neutral Energy Research Advanced Energy Conversion Systems Thrust Assistant Professor
Title
Assistant Professor
External link

Research Areas

  • Others / Others

Research History

  • Kyushu University International Institute for Carbon-Neutral Energy Research (I²CNER) Assistant Professor 

    2023.10 - Present

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    Country:Japan

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  • Kyushu University Applied Chemistry JSPS Postdoctoral Fellow 

    2021.10 - 2023.9

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    Country:Japan

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Papers

  • Impurity Detection and Quantification in Polymer Films by Two-Dimensional Infrared Spectroscopic Imaging and Multivariate Analysis Reviewed International journal

    Analytical Chemistry   2026.8

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    Authorship:Last author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1021/acs.analchem.6c01498

  • Generative AI-Driven Accelerated Discovery of Passivation Molecules for Perovskite Solar Cells Reviewed International journal

    Adroit T. N. Fajar, Guillaume Lambard, Jessie Manopo, Ruili Guo, Kevin Septioga, Rizfi F. Pari, Toshinori Matsushima, Zhanglin Guo

    ADVANCED SCIENCE   13 ( 36 )   2026.6   eISSN:2198-3844

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Advanced Science  

    Molecular passivation is an effective strategy to suppress interfacial defects in perovskite solar cells (PSCs), yet the discovery of new passivation molecules remains limited by empirical design and narrow chemical libraries. Here, for the first time, we present an AI-driven framework integrating discriminative and generative language models to accelerate the discovery of effective passivators. A SMILES-X classifier trained on literature data achieved high predictive performance (F1 = 0.80, ROC–AUC = 0.88), while a GPT-2-based generative model iteratively produced over 100 000 novel molecules, more than 80% of which were predicted to be effective. Multi-criteria filtering reduced this pool to ∼8000 high-quality candidates, from which clustering analysis identified ten diverse representatives. Three molecules, including a surrogate analog, were prioritized for experimental testing, and all exhibited a clear passivation effect. In particular, 4-maleimidobutyric acid increased the average open-circuit voltage from 1.08 to 1.12 V and improved the average power conversion efficiency from 19.3% to 22.2%, while markedly reducing hysteresis. This study demonstrates that generative AI can autonomously propose synthetically accessible, functionally effective molecules for PSC passivation, offering a powerful paradigm for accelerated materials discovery beyond conventional chemical space exploration.

    DOI: 10.1002/advs.202523042

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  • Generating eco-friendly ionic liquids with enhanced CO2 solubility using language models Reviewed

    Adroit T. N. Fajar, Guillaume Lambard, Md. Amirul Islam, Bidyut B. Saha, Zakiah D. Nurfajrin, Kevin Septioga

    ARTIFICIAL INTELLIGENCE CHEMISTRY   3 ( 1 )   2025.6   eISSN:2949-7477

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Artificial Intelligence Chemistry  

    This study presents a viable approach for designing eco-friendly ionic liquids (ILs) with enhanced CO<inf>2</inf> solubility using language models, specifically GPT-2 in conjunction with SMILES-X. The GPT-2 model was fine-tuned on a relatively small, unlabeled IL dataset and subsequently used to generate diverse IL structures. SMILES-X models, trained on IL datasets labeled with CO<inf>2</inf> solubility and eco-toxicity values, were employed to predict the properties of the generated ILs. Trends observed in the predicted IL properties were validated using density functional theory (DFT) and COSMO-RS calculations. The GPT-2 model was then fine-tuned iteratively, with the training data updated by including the top generated ILs from previous cycles. This iterative process led to a gradual improvement in the properties of the generated ILs. It was also observed, however, that continuously adding curated generated ILs to the training data eventually caused the model to produce correct but unrealistic IL structures. These findings highlight both the potential and limitations of language models in designing novel chemicals. Additionally, the CO<inf>2</inf> adsorption capacity of a surrogate IL was experimentally measured, demonstrating the potential of this approach in advancing decarbonization technologies.

    DOI: 10.1016/j.aichem.2025.100089

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  • Estimating the phase diagrams of deep eutectic solvents within an extensive chemical space Reviewed

    Adroit T.N. Fajar, Takafumi Hanada, Aditya D. Hartono, Masahiro Goto

    Communications Chemistry   7 ( 1 )   2024.2   ISSN:2399-3669 eISSN:2399-3669

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    Authorship:Lead author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Communications Chemistry  

    Assessing the formation of a deep eutectic solvent (DES) necessitates a solid-liquid equilibrium phase diagram. Yet, many studies focusing on DES applications do not include this diagram because of challenges in measurement, leading to misidentified eutectic points. The present study provides a practical approach for estimating the phase diagram of any binary mixture from the structural information, utilizing machine learning and quantum chemical techniques. The selected machine learning model provides reasonably high accuracy in predicting melting point (R2 = 0.84; RMSE = 40.53 K) and fusion enthalpy (R2 = 0.84; RMSE = 4.96 kJ mol−1) of pure compounds upon evaluation by test data. By pinpointing the eutectic point coordinates within an extensive chemical space, we highlighted the impact of the mole fractions and melting properties on the eutectic temperatures. Molecular dynamics simulations of selected mixtures at the eutectic points emphasized the pivotal role of hydrogen bonds in dictating mixture behavior.

    DOI: 10.1038/s42004-024-01116-3

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  • Ionic Liquids Curated by Machine Learning for Metal Extraction Reviewed

    Adroit T.N. Fajar, Aditya D. Hartono, Rahman Md Moshikur, Masahiro Goto

    ACS Sustainable Chemistry and Engineering   10 ( 38 )   12698 - 12705   2022.9   ISSN:2168-0485 eISSN:2168-0485

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    Authorship:Lead author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:ACS Sustainable Chemistry and Engineering  

    Metals are key components of modern devices; however, available resources of these metals are limited. In this study, we used machine learning (ML) to curate ionic liquids (ILs) that are suitable for metal extraction. We proposed classification and regression models to unravel hidden patterns between IL structures and their specific properties, i.e., metal selectivity and eco-toxicity. Evaluations of ML models using cross-validation indicate that the models were reliable, as described by the accuracy score (0.82) and R2value (0.76). The models also revealed that the metal selectivity of ILs was determined by the cation and anion structures, and the eco-toxicity level was primarily affected by the cation structures. Guided by predictions from the trained models, we selected three ILs (out of the 150 IL structures we initially proposed) that have extraction selectivity toward platinum, lithium, and neodymium as well as low eco-toxicity. We then prepared the ILs in the laboratory and assessed their performance by standard solvent extraction. The experiments indicate that the recommended ILs from ML could selectively extract the targeted metals with high extraction efficiency (>80%), which demonstrates the feasibility of ML as a promising toolkit that can help accelerate innovations in metal extraction.

    DOI: 10.1021/acssuschemeng.2c03480

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  • Initial Study on Machine Learning Predictive Models for Lattice-Level Neutronic Analysis in High-Temperature Gas-Cooled Reactors Reviewed

    Simanullang, IL; Fajar, ATN

    NUCLEAR SCIENCE AND ENGINEERING   2026.7   ISSN:0029-5639 eISSN:1943-748X

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    Language:English   Publisher:Nuclear Science and Engineering  

    High-temperature gas-cooled reactors (HTGRs) are being developed not only for electricity generation but also to produce hydrogen, leveraging the high outlet coolant temperature up to 950°C from the reactor core. To achieve this condition safely, the power density distribution within the core should be optimized through effective in-core fuel management. Depending on the reactor’s intended application and core design, the neutronic parameters should be calculated for each core configuration. In this present study, high-fidelity simulations based on the Monte Carlo (MC) method were performed to predict the key neutronic parameter of multiplication factors k<inf>inf</inf>. Although it produces highly accurate results, the MC method is time-consuming and computationally intensive, particularly for large-scale parametric studies. This initial study proposes using surrogate models developed through machine learning techniques to predict important neutronic parameters more efficiently. The current stage focuses on developing a predictive model at the lattice level of HTGRs. The widely used ensemble method Random Forest regression was adopted. A dataset consisting of approximately 640 samples was prepared and used for model training and validation. The model’s performance was evaluated using the coefficient of determination R<sup>2</sup> and the root-mean-square error, yielding values of 0.998 and 0.011, respectively. Furthermore, when applied to predict the k<inf>inf</inf> values, the model demonstrated good agreement with MC simulation, with prediction errors ranging from 0.9% to 5.5%, depending on the uranium enrichment and the fuel packing fraction.

    DOI: 10.1080/00295639.2026.2702758

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  • Selective separation of critical metals from lithium-ion batteries in a two-phase leaching system based on a hydrophobic deep eutectic solvent and H<sub>2</sub>O<sub>2</sub> solution Reviewed

    Kevin Septioga, Adroit T. N. Fajar, Rie Wakabayashi, Masahiro Goto

    RSC SUSTAINABILITY   4 ( 1 )   243 - 254   2026.1   eISSN:2753-8125

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Rsc Sustainability  

    An efficient two-phase leaching system using a hydrophobic deep eutectic solvent (DES) composed of 2 mol of 4,4,4-trifluoro-1-(2-thienyl)-1,3-butanedione and 1 mol of tri-n-octylphosphine oxide, with H<inf>2</inf>O<inf>2</inf> as the aqueous phase, was developed for the selective recovery of Li, Co, Ni, and Mn from spent lithium-ion batteries. Under optimized conditions (80 °C, 30 min, 500 rpm, 10 mg per mL black mass loading, DES-to-aqueous ratio 1 : 1, and 5 M H<inf>2</inf>O<inf>2</inf> as the aqueous phase), the two-phase leaching system achieved leaching efficiencies of 98% for Li, 94% for Co, 94% for Ni, 98% for Mn, with 73% Cu, 54% Al, and 76% Fe in the DES phase and minor amounts of Cu and Al in the aqueous phase, demonstrating pronounced phase-selective partitioning in a single-step process. The equilibrium pH (pH<inf>eq</inf>) of the aqueous solution controlled the metal transfer behavior from the DES to the aqueous phase: Li was fully stripped at pH<inf>eq</inf> ≤ 4, while Co, Ni, and Mn migrated to the aqueous phase at pH<inf>eq</inf> < 2. Furthermore, the DES exhibited stable performance over three successive cycles without regeneration or stripping, confirming its recyclability and operational robustness.

    DOI: 10.1039/d5su00657k

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  • Environmentally Friendly Extraction of Novel Deep Eutectic Solvent for Gold Extraction Reviewed

    Nurfajrin, ZD; Fajar, ATN; Kamisono, M; Septioga, K; Goto, M

    SOLVENT EXTRACTION RESEARCH AND DEVELOPMENT-JAPAN   33 ( 1 )   1 - 17   2026   ISSN:1341-7215

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    Publisher:Solvent Extraction Research and Development Japan  

    Current industrial gold extraction processes primarily rely on toxic solvents and additives, which, despite their high efficiency, pose significant environmental and health hazards. Developing greener and more sustainable alternatives is therefore essential. Deep eutectic solvents (DESs) have recently gained attention as promising green solvents due to their tunable physicochemical properties and potential for selective metal extraction. In this study, we introduce a novel type V DES composed of N,N-diethylbenzamide (DEBA) and thymol (Thy), designed using COSMO-RS-predicted solid–liquid equilibrium phase diagrams to ensure eutectic behavior. DEBA-Thy demonstrated outstanding selectivity for Au<sup>3+</sup> across a broad concentration range, achieving extraction efficiencies above 97%, while those of Pt<sup>4+</sup> and Pd<sup>2+</sup> remained below 10%. Slope analysis indicated a 1:1 stoichiometry for the Au(DES) complex. Additionally, cytotoxicity testing showed an EC<inf>50</inf> value of 72.09 µmol/L, suggesting lower toxicity compared to conventional solvents. These findings support DEBA-Thy as a promising, sustainable solvent for selective gold recovery.

    DOI: 10.15261/serdj.33.1

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  • Toward Low-Temperature Regeneration of CO<sub>2</sub> Capture Adsorbents: Functionalization of Polyethylenimine Reviewed

    Abdullah J. Al Abdulghani, Florian Weisshar, Jannis Hack, Adroit T. N. Fajar, Guillaume Lambard, Nobutaka Maeda

    ACS SUSTAINABLE CHEMISTRY & ENGINEERING   13 ( 17 )   6325 - 6332   2025.4   ISSN:2168-0485

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:ACS Sustainable Chemistry and Engineering  

    This study aimed to design materials for CO<inf>2</inf> capture with low regeneration temperatures without compromising the adsorption capacity (AC). Branched polyethylenimine (BPEI) functionalized with acrylonitrile (AN), 2-ethylhexyl acrylate (EHA), and butyl acrylate (BA) was impregnated onto fumed silica and tested for its adsorption and desorption properties. Higher functionalization degrees led to decreased desorption temperatures (DTs) from 73 to 97 °C to as low as 25 °C, which was attributed to the higher percentages of secondary amines upon functionalization and changes in the CO<inf>2</inf> adsorption mechanism. However, the adsorption capacities also decreased with functionalization. Bayesian optimization using machine learning models predicted optimal compositions of adsorbents for high adsorption capacities at low regeneration temperatures. The isothermal operation of CO<inf>2</inf> capture and release was also demonstrated to lower the energy requirement for CO<inf>2</inf> capturing systems. The functionalized BPEI materials steadily adsorb and release CO<inf>2</inf> for 20 cycles under isothermal conditions without any deterioration of the performance. BPEI 10,000 functionalized with AN, EHA, and BA offers a promising balance between AC and DT, making it suitable for industrial applications.

    DOI: 10.1021/acssuschemeng.5c01250

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  • Accelerated Screening of Deep Eutectic Solvents for Nickel/Cobalt Extraction: Integrating Quantum Chemistry, Machine Learning, and Experimental Validation Reviewed

    Zakiah D. Nurfajrin, Adroit T. N. Fajar, Ainul Maghfirah, Masahiro Goto

    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH   64 ( 12 )   6655 - 6663   2025.3   ISSN:0888-5885 eISSN:1520-5045

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Industrial and Engineering Chemistry Research  

    This study provides a practical approach for fast-screening DESs with properties suitable for critical metal extraction, integrating quantum chemical calculations, and machine learning (ML) predictions. We proposed 218 combinations of hydrogen-bond acceptors and hydrogen-bond donors, potentially forming DESs. The Random Forest and XGBoost classifier models achieved performance scores of 0.72 and 0.74, indicating robust predictive capabilities. Then, we curated the best three DESs suitable as extractants for critical metals that can also transform into a liquid phase at room temperature. The screening process involves two main steps, namely, (i) estimating the solid-liquid equilibrium phase diagram for each mixture to identify DES formation and (ii) using ML models to predict metal extraction selectivity. This study introduces 2,2-bipyridine:Phenol as a novel DES; the extraction system demonstrating high efficiency for nickel and cobalt over manganese and lithium, achieving 99% for Ni and 97% for Co after 60 min from an aqueous solution containing metals typical of spent lithium-ion batteries. The separation factor (SF) at 5 min results further confirm the system’s strong selectivity for Ni, indicating that Ni is extracted 5.18 times more efficiently than Co. These findings highlight the system’s potential for efficient metal separation.

    DOI: 10.1021/acs.iecr.4c03736

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  • Hydrophobic HY zeolite with enhanced stability in hot liquid water

    Susanti, Y; Maghfirah, A; Fajar, ATN; Mukti, RR; Kadja, GTM

    JOURNAL OF THE IRANIAN CHEMICAL SOCIETY   22 ( 2 )   397 - 405   2025.2   ISSN:1735-207X eISSN:1735-2428

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    Publisher:Journal of the Iranian Chemical Society  

    The low tolerance of zeolite in hot liquid water (HLW) could induce crystalline structure destruction and decrease the catalytic activity in aqueous system. Herein, we report modification on the zeolite external surface using organosilane to enhance the hydrophobicity. Pristine NaY was synthesized with a Si/Al ratio of 2.314. HY parent was prepared by ion exchange of NaY zeolite in ammonium chloride solution 0.1 M. External surface of HY zeolite was modified with 3-Aminopropyltriethoxysilane (APTES-HY). The structural stability of HY parent and modified HY after exposure to HLW was investigated at various times (0.5, 1, 2, 4, 10, and 72 h) at 200 °C. The modification with organosilane led to enhanced hydrophobicity and stability in the biphasic system. It was confirmed by XRD and SEM characterizations where the crystallinity and morphology of the treated APTES-HY were more preserved compared to the treated HY parent. XRF characterization showed that the ratio of Si/Al decreased as the time of HLW treatment increased. The decreasing trend of Si/Al ratio might be due to the hydrolysis of Si<sup>4+</sup> species from zeolite framework. TGA characterization supports that organic compound protects the external surface of zeolite from degradation in a HLW environment. These studies are expected to upgrade the applications of hydrophobic zeolite as a catalyst in biomass conversion.

    DOI: 10.1007/s13738-024-03157-w

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  • Deep Eutectic Solvent-Aqueous Two-Phase Leaching System for Direct Separation of Lithium and Critical Metals Reviewed

    Septioga K., Fajar A.T.N., Wakabayashi R., Goto M.

    ACS Sustainable Resource Management   1 ( 11 )   2482 - 2491   2024.11

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:ACS Sustainable Resource Management  

    Developing an effective recycling process for reclaiming valuable metals from lithium-ion batteries is an urgent issue owing to increasing battery waste from electric vehicles. In this study, we developed a leaching method that enables the direct separation of lithium from other critical metals, namely, nickel and cobalt, using a two-phase system that consists of a deep eutectic solvent (DES) and water. The DES consisting of 4,4,4-trifluoro-1-phenyl-1,3-butadione and tri-n-octylphosphine oxide showed the highest leaching performance when combined with water. Several operational parameters, such as the aqueous fraction, solid-liquid ratio, reaction time, and operation temperature, were evaluated. The optimum results in the two-phase direct leaching system were obtained using a 1:1 DES-water ratio and 10 g/L solid-liquid ratio, reacted at 80 °C for 24 h. An in-situ stripping phenomenon was observed, revealing that lithium transferred from the DES phase to the aqueous phase. In the application of black mass leaching, the aqueous phase significantly enhanced Co, Ni, and Mn extraction into the DES phase and thus plays an important role in separating lithium from other metals. The efficiency of direct lithium leaching from the black mass reached 99% within 24 h.

    DOI: 10.1021/acssusresmgt.4c00339

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  • Amino Acid-Based Ionic Liquids as Biocompatible Extractants for Critical and Precious Metals Reviewed

    Ainul Maghfirah, Takafumi Hanada, Adroit T. N. Fajar, Masahiro Goto

    ACS Sustainable Chemistry &amp; Engineering   12 ( 17 )   6797 - 6805   2024.4   ISSN:2168-0485 eISSN:2168-0485

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:American Chemical Society (ACS)  

    The utilization of ionic liquids (ILs) in metal extraction has been massively studied due to their excellent extraction ability, vast structural tunability, and low volatility. However, several ILs can be severely toxic, depending on the structure. It is significant to extract metal ions in a greener way for sustainability, yet the development of low-toxicity ILs for metal extraction remains a challenge. We prepared a series of potentially biocompatible ILs composed of amino acid ester (AAE)-based cations, with varying alkyl chain lengths and amino acid types and a fixed linoleate anion. An in vitro cytotoxicity study on HeLa cells indicates that the EC50 value of the synthesized ILs was ca. 2 orders of magnitude higher than that of commercial ILs (Aliquat 336 and Cyphos 104), suggestive of the low toxicity of the newly synthesized ILs. The ILs extracted the transition metals in the following order: Ni2+ > Co2+ > Mn2+. The separation factors for Ni/Co and Co/Mn ranged from 0.8 to 55 and from 0.6 to 50, respectively. In addition, l-leucine butyl linoleate exhibited highly selective extraction toward Au3+ and Pd2+ over Pt4+ with separation factors for Au/Pt and Pd/Pt of 37 and 40 in 0.05 mol/L HCl, respectively. Thus, AAE-based ILs are promising biocompatible extractants for metals.

    DOI: 10.1021/acssuschemeng.4c01799

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  • L-Leucine Propyl Ester-Fatty Acid-Based Pseudo-Protic Ionic Liquids: Synthesis, Extraction Ability, and Ecotoxicity Prediction by Machine Learning Reviewed

    Ainul Maghfirah, Adroit T. N. Fajar, Rie Wakabayashi, Masahiro Goto

    SOLVENT EXTRACTION RESEARCH AND DEVELOPMENT-JAPAN   31 ( 1 )   31 - 40   2024   ISSN:1341-7215

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  • Enabling Metal Sustainability with Polymer Inclusion Membranes: A Critical Review Reviewed

    Adroit T. N. Fajar, Masahiro Goto

    Journal of Chemical Engineering of Japan   56 ( 1 )   2023.12   ISSN:0021-9592 eISSN:1881-1299

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    DOI: 10.1080/00219592.2022.2153547

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  • Recent advances of carbon nanotubes as electrocatalyst for in-situ hydrogen production and CO<inf>2</inf> conversion to fuels

    Grandprix T.M. Kadja, Moh Mualliful Ilmi, St Mardiana, Munawar Khalil, Fuja Sagita, Neng T.U. Culsum, Adroit T.N. Fajar

    Results in Chemistry   6   2023.12   ISSN:2211-7156 eISSN:2211-7156

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    Publishing type:Research paper (scientific journal)   Publisher:Results in Chemistry  

    In-situ hydrogen production and CO2 conversion to fuels have attracted significant attention as rational solutions to alleviate energy crises and climate issues. However, the implementation of such technology in large-scale industrial applications is still hampered by its inefficiency, considering the large energy barrier. Therefore, the fabrication of extremely efficient catalysts has become the main challenge in this field. Carbon nanotubes (CNTs) have recently been recognized as an encouraging electrocatalyst for such a process. CNTs-based electrocatalysts revealed remarkable catalytic activity in water-splitting reactions, proving that these materials are promising candidates for electrochemical processes. Carbon nanotubes with electron acceptor attributes facilitate charge separation, resulting in improved catalytic activity. This is primarily due to its exceptional physicochemical properties, i.e., enormous surface area, superior electrical conductivity, good thermal properties, and high melting point. This review highlights recent advances in the application of CNTs and CNTs-based catalysts in hydrogen production and CO2 conversion, focusing on detailed discussions on their preparation, modification, characterization, and catalytic performances. In addition, several possible challenges for further improvement of the CNTs catalytic system are also highlighted.

    DOI: 10.1016/j.rechem.2023.101037

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  • Amino Acid Leaching of Critical Metals from Spent Lithium-Ion Batteries Followed by Selective Recovery of Cobalt Using Aqueous Biphasic System Reviewed

    Chunqing Cai, Adroit T.N. Fajar, Takafumi Hanada, Rie Wakabayashi, Masahiro Goto

    ACS Omega   8 ( 3 )   3198 - 3206   2023.1   ISSN:2470-1343 eISSN:2470-1343

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:ACS Omega  

    To reduce the exploitation of mine resources and decrease the harm to the environment caused by urban electronic wastes, the recovery of critical metals in secondary resources is crucial. In this study, we have successfully developed an eco-friendly process to integrate the leaching and separation of cobalt (Co) from a spent lithium-ion battery (LIB) cathode using an amino acid-based aqueous biphasic system (ABS). We, for the first time, demonstrated a simple method for leaching a LIB cathode using only amino acids. In addition, we have investigated the leaching mechanism using the typical cathode active material lithium cobalt oxide (LiCoO2). Then, the Co was selectively extracted by a biphasic system (amino acid-PPG400-H2O). This novel process has an excellent prospect in the field of spent-battery recycling because of its eco-friendly and process-simplified advantages.

    DOI: 10.1021/acsomega.2c06654

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  • Effect of Hydrophobicity of Ionic Liquids on the Leaching Selectivity of Platinum from a Spent Automotive Catalyst

    Takafumi Hanada, Sayako Takaoka, Mayu Kamisono, Adroit T.N. Fajar, Masahiro Goto

    Solvent Extraction Research and Development, Japan   30 ( 2 )   149 - 157   2023   ISSN:1341-7215 eISSN:2188-4765

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    Recycling platinum group metals from secondary resources such as spent automotive exhaust catalysts is promising for the circular economy. However, the selective separation of Pt over massive amounts of impurity metals such as Mg and Al is particularly challenging. In this study, non-aqueous direct leaching of platinum from a spent automotive catalyst (SAC) using hydrophobic ionic liquids, namely, trihexyl(tetradecyl)phosphonium chloride (P66614Cl) and trioctyl(dodecyl)phosphonium chloride (P88812Cl) with the aid of pre-loading hydrochloric acid/hydrogen peroxide was proposed. The more hydrophobic P88812Cl exhibited more efficient and selective leaching of Pt over Mg and Al. The recovery of Pt from the metal-loaded P88812Cl, and the reusability of the IL for SAC leaching were also demonstrated.

    DOI: 10.15261/serdj.30.149

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  • Effect of Hydrophobicity of Ionic Liquids on the Leaching Selectivity of Platinum from a Spent Automotive Catalyst

    Hanada, T; Takaoka, S; Kamisono, M; Fajar, ATN; Goto, M

    SOLVENT EXTRACTION RESEARCH AND DEVELOPMENT-JAPAN   30 ( 2 )   149 - 157   2023   ISSN:1341-7215

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  • Selective recovery of gold from discarded cell phones by silk fibroin from Bombyx mori Reviewed

    Ainul Maghfirah, Kosuke Minamihata, Takafumi Hanada, Adroit T.N. Fajar, Masahiro Goto

    Biochemical Engineering Journal   188   2022.12   ISSN:1369-703X eISSN:1873-295X

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Biochemical Engineering Journal  

    Selectivity is a crucial factor for gold recovery from discarded cell phones. This is because discarded cell phones contain a large variety of metals. The use of biomaterials as gold adsorbents is attracting much attention because it is in accordance with sustainability goals. Here, we reported selective adsorption of gold on silk fibroin and its application to gold recovery from the actual leachate of discarded cell phones in a chloride medium. The experimental maximum gold-adsorption capacity of silk fibroin was 5.800 mg/g. Based on a kinetic study, the gold-adsorption mechanism followed the pseudo-second-order model with a rate constant (k2) of 0.077 g mg−1min−1. The adsorption fitted well with the Langmuir model, suggesting a monolayer adsorption mechanism. Despite the small adsorption capacity, silk fibroin showed remarkable selectivity toward gold in synthetic and actual leachate containing Pt4+, Pd2+, Al3+, Cu2+, Ni2+, Zn2+, Pb2+, and Fe3+ metal ions in 0.5 mol/L HCl. The gold uptake from the actual leachate of discarded cell phones was approximately 95 %. The gold loaded on the silk fibroin was completely desorbed by 0.1 mol/L thiourea.

    DOI: 10.1016/j.bej.2022.108690

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  • Recent advances in the enhanced sensing performance of zeolite-based materials

    Grandprix T.M. Kadja, Neng T.U. Culsum, St Mardiana, Noerma J. Azhari, Adroit T.N. Fajar, Irkham

    Materials Today Communications   33   2022.12   eISSN:2352-4928

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    Publisher:Materials Today Communications  

    Sensor materials shall ideally demonstrate high sensitivity, accurate selectivity, and long durability. However, discovering such materials that simultaneously match industrial demands—e.g., simple preparation, simple calibration, and low cost—is quite challenging. In recent years, numerous endeavors have been attempted to deal with this quest, including incorporating zeolites into sensor materials. The hybrid sensor materials were found to exhibit excellent performances owing to the unique nature of zeolite. Zeolite-based sensor materials successfully identified various targets such as volatile organic compounds (VOCs), pollutants, moisture, base molecules, and radioactive species. Herein, we provide a review of the recent findings in the application of zeolites as sensor materials. The present review highlights several aspects, such as the fabrication methods, the role of zeolite frameworks, and some plausible mechanisms in the sensing process. Finally, we discussed possible future directions for the development of zeolite-based sensor materials that would agree with the industrial demands.

    DOI: 10.1016/j.mtcomm.2022.104331

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  • Two-dimensional (2D) nanomaterials for enhanced oil recovery (EOR): A review

    Suci A.C. Natalya, Grandprix T.M. Kadja, Noerma J. Azhari, Munawar Khalil, Adroit T.N. Fajar

    FlatChem   34   2022.7   ISSN:2452-2627 eISSN:2452-2627

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    Publishing type:Research paper (scientific journal)   Publisher:FlatChem  

    Currently, oil is the most demanded and consumed energy source in the world. Nanofluid flooding has recently garnered considerable attention as an advanced chemical-based enhanced oil recovery (EOR) technology. In the last decade, two-dimensional nanomaterials have emerged as alternative nanoflooding agents because of their distinctive characteristics: (i) great ability to reduce interfacial tension, and (ii) highly elastic interfacial layer that could return to its original form, even after seriously disturbed, that avoid blockage in the reservoir. This review emphasizes the recent advances of several two-dimensional nanomaterials that have been investigated as nanoflooding agents. Compared with the commonly used homogeneous spherical nanoparticles, two-dimensional nanomaterial could generate amphiphilic Janus nanosheets with higher interfacial activity and emulsion stabilization, especially in amphiphilic states. Thus, two-dimensional nanomaterials are considered up-and-coming nanoflooding agents for obtaining a high oil recovery. Lastly, this review concludes with a summary and future outlook for EOR technology based on two-dimensional nanomaterials.

    DOI: 10.1016/j.flatc.2022.100383

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  • Zeolite-based catalyst for direct conversion of CO<inf>2</inf> to C<inf>2+</inf> hydrocarbon: A review

    Noerma J. Azhari, Nadya Nurdini, St Mardiana, Thalabul Ilmi, Adroit T.N. Fajar, I. G.B.N. Makertihartha, Subagjo, Grandprix T.M. Kadja

    Journal of CO2 Utilization   59   2022.5   ISSN:2212-9820 eISSN:2212-9839

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    Publisher:Journal of CO2 Utilization  

    Capturing CO2 and converting it into fuels or fine chemicals is a promising way to deal with climate change issues and energy crises. However, the conversion of CO2 into hydrocarbons requires high activation energy owing to the stable C[dbnd]O bond. Therefore a catalyst with high performance is necessary to facilitate the chemical reactions. In recent years, it has been demonstrated that catalysts based on metal or metal oxides combined with zeolites have excellent performances in converting CO2 to various hydrocarbons and have the potential to be applied at an industrial scale. The present review article highlights the progress of zeolite-based catalysts in the CO2 conversion to hydrocarbon, i.e., gasoline, olefins, and aromatics products through modified Fischer-Tropcsh and methanol mediated pathways. The effect of zeolite properties, e.g., topology, acidity, morphology, crystallite size, extra framework cation and atom, and the pore structure, has been discussed. Also, several synthetic strategies for precisely adjusting the zeolite properties were demonstrated. Finally, the insight for future development was proposed.

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  • Novel Ionic Liquid-Based Aqueous Biphasic System with Amino Acids for Critical Metal Recovery from Lithium-Ion Batteries Reviewed

    Chunqing Cai, Takafumi Hanada, Adroit T.N. Fajar, Masahiro Goto

    Industrial and Engineering Chemistry Research   61 ( 15 )   5306 - 5313   2022.4   ISSN:0888-5885 eISSN:1520-5045

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Industrial and Engineering Chemistry Research  

    The era of electric vehicles is rapidly approaching, and therefore, it is crucial to provide a sustainable technology for ensuring the circular economy of lithium-ion batteries. In this study, we report the development of a novel aqueous biphasic system (ABS) comprising fully biocompatible components, that is, hydrophilic ionic liquids, amino acids, and organic acids, for the selective recovery of Co(II) and Ni(II) from Mn(II), which are critical metals in spent lithium-ion batteries. Separation of Co(II), Ni(II), and Mn(II) from sulfate media was successfully carried out using the ABS in a quite straightforward manner without any hazardous reagents or organic solvents. In addition, the plausible mechanism of metal ion separation within the ABS was elucidated. The regenerated ionic liquid in the ABS exhibited remarkably stable performance during use in three consecutive experimental cycles.

    DOI: 10.1021/acs.iecr.2c00295

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  • Recent advances on the nanoporous catalysts for the generation of renewable fuels

    Grandprix T.M. Kadja, Moh Mualliful Ilmi, Noerma J. Azhari, Munawar Khalil, Adroid T.N. Fajar, Subagjo, I. G.B.N. Makertihartha, Melia L. Gunawan, Carolus B. Rasrendra, I. G. Wenten

    Journal of Materials Research and Technology   17   3277 - 3336   2022.3   ISSN:2238-7854

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    Publisher:Journal of Materials Research and Technology  

    The rapid and continuous depletion of fossil-based resources has boosted extensive research on alternative energy from renewable resources. In this sense, heterogeneous catalysts play an inevitable role in converting renewable resources into fuels. The performance of heterogeneous catalysts strictly depends on their structures and physicochemical properties. As a rule of thumb, heterogeneous catalysts with large specific surface areas possess more catalytic sites to enhance the overall catalytic performance. Nanoporous materials have emerged as highly active heterogeneous catalysts due to their large internal surface area, enabling a high density of active catalytic sites. The presence of nanopores also allows the selectivity towards the desired products. Herein, we provide a comprehensive review of recent advances of several typical nanoporous catalysts, i.e., zeolites, ordered mesoporous silica (OMS), metal- and covalent organic frameworks (MOFs and COFs), and nanoporous metals. Each nanoporous catalyst's characteristics and synthesis strategies are elaborated in detail, followed by discussions on their applications in various chemical processes to produce renewable fuels. Finally, challenges and opportunities for future improvement are provided.

    DOI: 10.1016/j.jmrt.2022.02.033

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  • DFT-Based investigation of Amic–Acid extractants and their application to the recovery of Ni and Co from spent automotive Lithium–Ion batteries Reviewed

    Takafumi Hanada, Kosuke Seo, Wataru Yoshida, Adroit T.N. Fajar, Masahiro Goto

    Separation and Purification Technology   281   2022.1   ISSN:1383-5866 eISSN:1873-3794

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Separation and Purification Technology  

    To establish more efficient and environmentally friendly lithium-ion battery (LiB) recycling processes, novel extractants derived from amino acids that enable better separation of Ni and Co were explored using density functional theory (DFT) calculations. DFT calculations and experimental validation indicated that of the three coordination sites—namely amine, amide, and carboxyl groups in the amic-acid ligands—the bond strength of the central amine group to the metal determines the Ni and Co separation performance. Based on the findings, the glycine-derived amic-acid extractant N-[N,N-di(2-ethylhexyl)aminocarbonylmethyl]glycine (D2EHAG) was applied for the recovery of Ni and Co from a spent automotive LiB leachate. Preferential and mutual recovery of Ni and Co from manganese by the D2EHAG-based recycling process was demonstrated. This study provides insights into the design of extractants that enable the mutual separation of Ni, Co, and Mn, and indicates the suitability of amic-acid extractants for LiB recycling processes.

    DOI: 10.1016/j.seppur.2021.119898

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  • Advanced Ordered Nanoporous Materials

    G. T.M. Kadja, N. Nurdini, Y. K. Krisnandi, I. R. Saragi, Y. Yasmine, A. T.N. Fajar, L. Larasati, W. W. Lestari, A. Pangestu, O. A. Saputra

    Engineering Materials   259 - 317   2022   ISSN:1612-1317 eISSN:1868-1212

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    Publishing type:Part of collection (book)   Publisher:Engineering Materials  

    Ordered nanoporous materials have attracted much attention due to their unique pore architecture, tunable physicochemical properties, which find applications in a broad spectrum of catalysis, separation, adsorption, drug delivery, energy storage, and sensing. In the past decades, the amount of research on ordered nanoporous materials has grown incrementally, resulting in diverse types of these materials with unprecedented structures. Herein, this chapter presents the recent advances of ordered nanoporous materials, including zeolites, ordered mesoporous materials (OMMs), metal–organic frameworks (MOFs), and covalent organic frameworks (COFs). Several vital aspects, i.e., structural and physicochemical properties, synthesis, and applications, are comprehensively discussed. Finally, challenges and prospects for future improvement are also elaborated.

    DOI: 10.1007/978-3-030-85397-6_9

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MISC

  • Deeper Insight into the Rational Design and Synthesis of Zeolites Revealed by Machine Learning: A Mini Review Reviewed

    St Mardiana, Arxhel S. F. Nanda, I. Made Arcana, Ismunandar, Adroit T. N. Fajar, Grandprix T. M. Kadja

    JOURNAL OF ENGINEERING AND TECHNOLOGICAL SCIENCES   57 ( 4 )   475 - 491   2025   ISSN:2337-5779 eISSN:2338-5502

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    Language:English   Publishing type:Article, review, commentary, editorial, etc. (scientific journal)   Publisher:Journal of Engineering and Technological Sciences  

    Zeolites are widely applied in various fields owing to their outstanding properties. However, our understanding on the nature of zeolite synthesis is not completed yet due to its high dimensional parameters. Machine learning has the ability to unravel fundamental relationships between complex parameters and predict the possible outcomes; thus, it can potentially reveal the nature of zeolite synthesis. This mini review highlights the current use of machine learning to comprehend the black box issue in zeolite synthesis. Conventional syntheses of zeolite were also elaborated to showcase the gap between traditional methods and machine learning approaches in zeolite synthesis. The future prospects of machine learning applications in zeolite synthesis are also discussed. This mini-review may bring crucial insights on the zeolite synthesis process.

    DOI: 10.5614/j.eng.technol.sci.2025.57.4.4

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  • Recent advances of carbon nanotubes as electrocatalyst for in-situ hydrogen production and CO<inf>2</inf> conversion to fuels Reviewed

    Grandprix T.M. Kadja, Moh Mualliful Ilmi, St Mardiana, Munawar Khalil, Fuja Sagita, Neng T.U. Culsum, Adroit T.N. Fajar

    Results in Chemistry   6   2023.12   ISSN:2211-7156 eISSN:2211-7156

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    Language:English   Publisher:Results in Chemistry  

    In-situ hydrogen production and CO<inf>2</inf> conversion to fuels have attracted significant attention as rational solutions to alleviate energy crises and climate issues. However, the implementation of such technology in large-scale industrial applications is still hampered by its inefficiency, considering the large energy barrier. Therefore, the fabrication of extremely efficient catalysts has become the main challenge in this field. Carbon nanotubes (CNTs) have recently been recognized as an encouraging electrocatalyst for such a process. CNTs-based electrocatalysts revealed remarkable catalytic activity in water-splitting reactions, proving that these materials are promising candidates for electrochemical processes. Carbon nanotubes with electron acceptor attributes facilitate charge separation, resulting in improved catalytic activity. This is primarily due to its exceptional physicochemical properties, i.e., enormous surface area, superior electrical conductivity, good thermal properties, and high melting point. This review highlights recent advances in the application of CNTs and CNTs-based catalysts in hydrogen production and CO<inf>2</inf> conversion, focusing on detailed discussions on their preparation, modification, characterization, and catalytic performances. In addition, several possible challenges for further improvement of the CNTs catalytic system are also highlighted.

    DOI: 10.1016/j.rechem.2023.101037

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  • Recent advances in the enhanced sensing performance of zeolite-based materials

    Grandprix T.M. Kadja, Neng T.U. Culsum, St Mardiana, Noerma J. Azhari, Adroit T.N. Fajar, Irkham

    Materials Today Communications   33   2022.12   eISSN:2352-4928

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    Language:English   Publisher:Materials Today Communications  

    Sensor materials shall ideally demonstrate high sensitivity, accurate selectivity, and long durability. However, discovering such materials that simultaneously match industrial demands—e.g., simple preparation, simple calibration, and low cost—is quite challenging. In recent years, numerous endeavors have been attempted to deal with this quest, including incorporating zeolites into sensor materials. The hybrid sensor materials were found to exhibit excellent performances owing to the unique nature of zeolite. Zeolite-based sensor materials successfully identified various targets such as volatile organic compounds (VOCs), pollutants, moisture, base molecules, and radioactive species. Herein, we provide a review of the recent findings in the application of zeolites as sensor materials. The present review highlights several aspects, such as the fabrication methods, the role of zeolite frameworks, and some plausible mechanisms in the sensing process. Finally, we discussed possible future directions for the development of zeolite-based sensor materials that would agree with the industrial demands.

    DOI: 10.1016/j.mtcomm.2022.104331

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  • Two-dimensional (2D) nanomaterials for enhanced oil recovery (EOR): A review Reviewed

    Suci A.C. Natalya, Grandprix T.M. Kadja, Noerma J. Azhari, Munawar Khalil, Adroit T.N. Fajar

    FlatChem   34   2022.7   ISSN:2452-2627 eISSN:2452-2627

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    Language:English   Publisher:Flatchem  

    Currently, oil is the most demanded and consumed energy source in the world. Nanofluid flooding has recently garnered considerable attention as an advanced chemical-based enhanced oil recovery (EOR) technology. In the last decade, two-dimensional nanomaterials have emerged as alternative nanoflooding agents because of their distinctive characteristics: (i) great ability to reduce interfacial tension, and (ii) highly elastic interfacial layer that could return to its original form, even after seriously disturbed, that avoid blockage in the reservoir. This review emphasizes the recent advances of several two-dimensional nanomaterials that have been investigated as nanoflooding agents. Compared with the commonly used homogeneous spherical nanoparticles, two-dimensional nanomaterial could generate amphiphilic Janus nanosheets with higher interfacial activity and emulsion stabilization, especially in amphiphilic states. Thus, two-dimensional nanomaterials are considered up-and-coming nanoflooding agents for obtaining a high oil recovery. Lastly, this review concludes with a summary and future outlook for EOR technology based on two-dimensional nanomaterials.

    DOI: 10.1016/j.flatc.2022.100383

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  • Zeolite-based catalyst for direct conversion of CO<inf>2</inf> to C<inf>2+</inf> hydrocarbon: A review Reviewed

    Noerma J. Azhari, Nadya Nurdini, St Mardiana, Thalabul Ilmi, Adroit T.N. Fajar, I. G.B.N. Makertihartha, Subagjo, Grandprix T.M. Kadja

    Journal of CO2 Utilization   59   2022.5   ISSN:2212-9820 eISSN:2212-9839

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    Language:English   Publisher:Journal of Co2 Utilization  

    Capturing CO<inf>2</inf> and converting it into fuels or fine chemicals is a promising way to deal with climate change issues and energy crises. However, the conversion of CO<inf>2</inf> into hydrocarbons requires high activation energy owing to the stable C[dbnd]O bond. Therefore a catalyst with high performance is necessary to facilitate the chemical reactions. In recent years, it has been demonstrated that catalysts based on metal or metal oxides combined with zeolites have excellent performances in converting CO<inf>2</inf> to various hydrocarbons and have the potential to be applied at an industrial scale. The present review article highlights the progress of zeolite-based catalysts in the CO<inf>2</inf> conversion to hydrocarbon, i.e., gasoline, olefins, and aromatics products through modified Fischer-Tropcsh and methanol mediated pathways. The effect of zeolite properties, e.g., topology, acidity, morphology, crystallite size, extra framework cation and atom, and the pore structure, has been discussed. Also, several synthetic strategies for precisely adjusting the zeolite properties were demonstrated. Finally, the insight for future development was proposed.

    DOI: 10.1016/j.jcou.2022.101969

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Professional Memberships

  • American Chemical Society

    2024 - Present

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Research Projects

  • High-Entropy Eutectic Solvents for Sustainable Upcycling of Critical Metals

    Grant number:26K17886  2026.4 - 2029.3

    Grants-in-Aid for Scientific Research  Grant-in-Aid for Early-Career Scientists

    FAJAR ADROIT・TORIQ・NUR

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    Grant type:Scientific research funding

    This project develops a new class of green solvents, called high-entropy eutectic solvents, to extract valuable metals from spent batteries and convert them into value-added materials such as metal-organic frameworks. Simulations, AI methods, and experiments are integrated to accelerate discovery.

    CiNii Research