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A comparative study on effectiveness and recyclability of three different deep eutectic solvents for biomass fractionation

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Biomass Conversion and Biorefinery 2025年第9期15卷 13393-13407页

作者： Panakkal, Elizabeth Jayex Cheenkachorn, Kraipat Chuetor, Santi Dasari, Srideep Katam, Keerthi Phusantisampan, Theerawut Cheng, Yu-Shen Sriariyanun, Malinee Department of Chemical and Process Engineering Biorefinery and Process Automation Engineering Center The Sirindhorn International Thai-German Graduate School of Engineering King Mongkut’s University of Technology North Bangkok Bangkok Thailand Department of Chemical Engineering Faculty of Engineering Biorefinery and Process Automation Engineering Center King Mongkut’s University of Technology North Bangkok Bangkok Thailand Department of Chemistry École Centrale School of Engineering Mahindra University Telangana India Department of Civil Engineering École Centrale School of Engineering Mahindra University Telangana India Department of Biotechnology Faculty of Applied Science Biorefinery and Process Automation Engineering Center King Mongkut’s University of Technology North Bangkok Bangkok Thailand Department of Chemical and Materials Engineering National Yunlin University of Science and Technology 123 University Road Section 3 Yunlin Douliu64002 Taiwan

The overuse of non-renewable resources to meet rising energy demands has significantly impacted the environment, necessitating the shift to renewable energy sources. Lignocellulosic biorefineries present a sustainable alternative, producing valuable products. With limited reports on the optimal deep eutectic solvent (DES) pretreatment of Napier grass, this study focuses on optimizing and assessing the recyclability of three different DES pretreatments to enhance sugar and ethanol yields from biomass. Three DES were synthesized by combining choline chloride with lactic acid, glycerol, and urea. The physical properties of these DES were analyzed, followed by the optimization of pretreatment conditions using response surface methodology and one-factor-at-a-time approaches. The optimization considered solid loading (1:20 to 1:5, w/w), temperature (80 °C to 130 °C), and time (0.5 h to 5 h) to maximize sugar concentration. The optimal pretreatments improved cellulose content in the pretreated biomass, enhancing sugar yield in the order: alkaline DES > acidic DES > neutral DES. Ethanol fermentation of pretreated biomass using Saccharomyces cerevisiae showed higher ethanol yields from choline chloride: urea (15.87 g/L), followed by choline chloride: glycerol (14.03 g/L), and choline chloride: lactic acid (13.18 g/L). This study highlights the effectiveness of acidic, alkaline, and polyol-based DES in pretreating biomass, enhancing sugar yield up to 1.6-fold compared to native biomass. Recyclability studies showed decreased efficiency and reduced sugar yield over successive cycles, indicating the need for a purification step. Overall, this research demonstrates the potential of three different DES pretreatments in significantly improving sugar and ethanol yields from Napier grass and underscores the economic viability of DES recycling for industrial applications. These findings could inspire future research in developing advanced techniques for purifying used DES before recy

关键词： Fermentation

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Developing deep learning-based large-scale organic reaction classification model via sigma-profiles

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Green chemical engineering 2025年第2期6卷 181-192页

作者： Wenlong Wang Chenyang Xu Jian Du Lei Zhang State Key Laboratory of Fine Chemical Frontiers Science Center for Smart Materials Oriented Chemical EngineeringInstitute of Chemical Process Systems EngineeringSchool of Chemical EngineeringDalian University of TechnologyDalian116024China Department of Chemical and Biomolecular Engineering National University of SingaporeSingapore117585Singapore

Advanced technologies like deep learning have accelerated the discovery of novel chemical reactions,especially in the field of organic *** hundreds of thousands of reactions available for reference,one way to effectively leverage them is by classifying chemical reactions into different clusters based on their specific characteristics,which makes target-guided navigation in the vast chemical space *** previous attempts that apply deep learning to reaction classification tasks have made substantial progress,developing a model with good interpretability as well as high accuracy for large-scale reaction classification tasks remains an open *** this work,a deep learning-based model for a large-scale reaction classification task is first constructed by utilizing pre-trained BERT and ***,the model is trained under the open-source dataset USPTO_TPL which contains recorded reactions of up to 1000 different *** multi-classification accuracy of the model on the testing dataset is 99.382%,showing its great potential for practical ***,a reaction similarity map is presented to correlate the reactions in the USPTO_TPL dataset based on their sigmaprofile-based statistical ***,representative reactions from the testing dataset are provided to illustrate the model's effectiveness on the reaction classification task.

关键词： Reaction classification Reaction fingerprint Sigma-profiles Deep learning

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Recent Advances in Catalytic Carbonylation Reactions in Alternative Reaction Media

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Chinese Journal of Chemistry 2024年第4期42卷 406-429页

作者： Csaba Árvai László T.Mika Department of Chemical and Environmental Process Engineering Faculty of Chemical Technology and BiotechnologyBudapest University of Technology and EconomicsMűegyetem rkp.3H-1111 BudapestHungary

Since the discovery of the hydroformylation(oxo-synthesis or Roelen reaction)and the Reppe-reaction,the transition metal-catalyzed carbonylation reactions,providing versatile,facile,and even atom-economic methods for the selective incorporation of C=O functionality to various skeletons,have gained tremendous importance in synthetic organic chemistry from laboratories to industrial *** carbonylation of carbon-carbon multiple bonds,aromatic halides,triflates,etc.,in the presence of various nucleophiles has led the way to produce aldehydes,carboxylic acids,esters,amides,etc.,in the fine chemical ***,these protocols usually proceed in conventional,fossil-based,and usually toxic reaction ***,several attempts have been directed to developing efficient carbonylation methods in alternative,less harmful,non-fossil-based and even in renewable reaction *** this review,we overview the recent applications of alternative solvents such as water,biomass-based alcohols,γ-valerolactone(GVL),2-methyltetrahydrofuran(2-MeTHF),ionic liquids(ILs),deep eutectic solvents(DES),alkyl levulinates,limonene,α-pinene,and dimethyl carbonate as well as fluorous media to improve efficiency,safety and environmentally benign nature of carbonylation protocols.

关键词： Carbonylation Catalysis Solvents Green chemistry Carbon monoxide Transition metals Homogeneous catalysis Palladium

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The current status and market trend of polylactic acid as biopolymer: Awareness and needs for sustainable development

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Materials Today: Proceedings 2023年 72卷 3049-3055页

作者： Mehmood, Ahsan Raina, Neelu Phakeenuya, Vanarat Wonganu, Benjamaporn Cheenkachorn, Kraipat Department of Chemical and Process Engineering TGGS KMUTNB Bangkok 10800 Thailand School of Biotechnology Shri Mata Vaishno Devi University Jammu and Kashmir Katra 182320 India Department of Biotechnology Faculty of Applied Science KMUTNB Bangkok 10800 Thailand Biorefinery and Process Automation Engineering Center Department of Chemical Engineering Faculty of Engineering KMUTNB Bangkok 10903 Thailand

Plastic pollution has caused deaths of millions of lives globally while continually covering oceans and landfills. Biopolymers have thus gained remarkable attention worldwide owing to the fast pace of environmental pollution and increased dependence on fossil fuels. Bioplastics, most prominently used biopolymers are generating a growing interest not only in the plastic industry but in the current societal scenario in general. Polylactic acid (PLA), a prospective bio-based and bio-degradable polymer is made from renewable feedstock with a strong potential for growth in electronics, automotive, food packaging and medical industries. In this perspective, we summarize properties (physical and mechanical), current market trends, synthesis, chemistry and case studies pointing at tailoring the properties of PLA to create blends/composites in order to obtain desired material property for an array of industrial applications. However, the use of PLA in some other applications is still limited. The current situations demand greater focus to be shifted towards the development of novel production technologies, address challenges, wider commercial applications of bioplastic and government regulations that facilitate the use of bio-degradable plastic as the key drivers for the global transition towards use of bioplastics for a sustainable future. © 2022

关键词： Biopolymers

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Biorefinery approaches for production of cellulosic ethanol fuel using recombinant engineered microorganisms

Journal of Applied Science and Engineering

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Journal of Applied Science and engineering 2024年第2期27卷 1985-2005页

作者： Sriariyanun, Malinee Gundupalli, Marttin Paulraj Phakeenuya, Vanarat Phusamtisampan, Theerawut Cheng, Yu Shen Venkatachalam, Ponnusami Biorefinery and Process Automation Engineering Center Department of Chemical and Process Engineering The Sirindhorn International Thai-German Graduate School of Engineering King Mongkut s University of Technology North Bangkok Bangkok Thailand Department of Biotechnology Faculty of Applied Science King Mongkut s University of Technology North Bangkok Bangkok Thailand Department of Chemical and Materials Engineering National Yunlin University of Science and Technology Douliu Yunlin64002 Taiwan Bioprocess Intensification Laboratory Center for Bioenergy School of Chemical & Biotechnology SASTRA Deemed University Thirumalaisamudram Thanjavur613401 India

Cellulosic ethanol has been gaining high attention due to its potential to reduce the greenhouse gas emission and cut down the world dependence on fossil fuels. Biorefinery approach for cellulosic ethanol has advantages due to its non-food competing status, natural abundance and benefit to decrease the combustion of agricultural wastes after harvesting seasons. Due to the recalcitrant structure of lignocellulose biomass, pretreatment and hydrolysis are critical to determine the economic viability of the process because they influence the conversion rate of fermentable sugars and, subsequently, final product i.e. ethanol. Therefore, the design for the process to compromise fermentation and upstream process is also essential. With all constraints exist when using harsh conditions during pretreatment, the recombinant engineered microorganisms have been developed and applied as biocatalysts during fermentation. To achieve the maximum production efficiency, different strategies of recombinant engineered microbes include expression optimization to modify the metabolic pathway, modification of secretion and transportation routes, improvement of stress tolerance, and utilization of both C5 and C6 sugars. This review provides the development and current status of cellulosic ethanol production via biorefining process by genetic engineered microbes with a focus on the technological aspects. The remaining challenges, perspective, and economical feasibility of the process are also discussed. © 2024 Tamkang University. All rights reserved.

关键词： Ethanol

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Methane enrichment for biogas purification using pressure swing adsorption techniques

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Materials Today: Proceedings 2023年 72卷 2915-2920页

作者： Mergenthal, Marcus Tawai, Atthasit Amornraksa, Suksun Roddecha, Supacharee Chuetor, Santi Department of Mechanical Engineering RWTH Aachen University Aachen 52056 Germany Biorefinery and Process Automation Engineering Center Department of Chemical and Process Engineering TGGS KMUTNB Bangkok 10800 Thailand Department of Chemical Engineering Faculty of Engineering KMUTNB Bangkok 10800 Thailand Department of Chemical Engineering Faculty of Engineering Kasetsart University Bangkok 10903 Thailand

Biogas is a highly potential renewable fuel source substituting fossil-based natural gas. To commercialize biomethane, biogas purification systems via selective removal of CO2 are a crucial step for the production of biomethane. Technologies based on pressure swing adsorption (PSA) are widely used and achieve promising results, such as water scrubbing, membrane separation, cryogenic processes, chemical absorption, and physical absorption. This review describes the potential of PSA as a technology to separate CO2 from biogas to purify biomethane. PSA is an efficient technology for biogas purification having a low energy penalty, low cost and a safe operation. Nowadays, different biomethane purification technologies are operated, such as cryogenic separation, membrane operations and absorptive separation. The PSA process, as one of the main technology, and its concepts are described. Then, the main process engineering approaches for efficient biogas purification are analyzed. Different adsorbents are compared and key process performance variables are evaluated. Next, the results of different studies on adsorption materials and the yield of real examples as well as the current research trends and improvement potentials are presented and discussed. © 2022

关键词： Carbon dioxide

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Boosting electrocatalytic activity with the formation of abundant heterointerfaces and N, S dual-doped carbon nanotube for rechargeable Zn-air battery

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Journal of Energy Chemistry 2023年第9期84卷 140-152页

作者： Rin Na Kyeongseok Min Hyejin Kim Yujin Son Sang Eun Shim Sung-Hyeon Baeck Department of Chemistry and Chemical Engineering Education and Research Center for Smart Energy Materials and ProcessInha UniversityIncheon 22212Republic of Korea

Herein,a facile synthetic strategy is proposed to fabricate high-performance electrocatalysts for rechargeable Zn-air batteries(ZABs).Heterostructured NiCo/NiCo_(2)S_(4) nanoparticles encapsulated in N-,S-co-doped CNT(NiCo/NiCo_(2)S_(4)@NSCNT) are synthesized via co-precipitation,thermal carbonization,and partial sulfidation *** strongly coupled NiCo/NiCo_(2)S_(4) heterostructure can improve the redox property and charge transfer ***,the CNTs with abundant foreign dopants provide high electrical conductivity and abundant defect sites for both the oxygen evolution reaction(OER) and oxygen reduction reaction(ORR).The prepared NiCo/NiCo_(2)S_(4)@NSCNT electrocatalyst exhibits a low overpotential of 349 mV at a current density of 10 mA cm-2 and a half-wave potential of 0.865 V for the OER and ORR,***,the ZAB assembled using as-prepared NiCo/NiCo_(2)S_(4)@NSCNT can provide superior specific capacity(756.16 mA h g_(Zn)^(-1)],peak power density(155.82 mW cm^(-2)),and long-term cyclability compared to those of the precious metal-based electrocatalyst(Pt/C+RuO_(2)).

关键词： Bifunctional electrocatalyst NiCo alloy Bimetallic sulfide Heterojunction Zinc–air battery

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Data driven analysis of particulate systems for development of reliable model to determine drag coefficient of non-spherical particles

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Particuology 2025年第2期97卷 219-235页

作者： Tauseeq Hussain Atta Ullah Rehan Zubair Khalid Farooq Ahmad Fei Li Asifullah Khan Department of Chemical Engineering Pakistan Institute of Engineering and Applied SciencesIslamabad45650Pakistan PIEAS Artificial Intelligence Center Pakistan Institute of Engineering and Applied SciencesNiloreIslamabad45650Pakistan Department of Chemical and Materials Engineering College of EngineeringNorthern Border UniversityArarSaudi Arabia Institute of Process Engineering Chinese Academy of SciencesBeijingChina Pattern Recognition Lab Department of Computer and Information SciencesPakistan Institute of Engineering and Applied SciencesNiloreIslamabad45650Pakistan

Non-spherical particles are extensively encountered in the process industry such as feedstock or catalysts e.g.,energy,food,pharmaceuticals,and *** design of equipment used to process these particles is highly dependent upon the accurate and reliable modeling of hydrodynamics of particulate media *** coefficient of these particles is the most significant of all parameters.A universal model to predict the drag coefficient of such particles has not yet been developed due to the diversity and complexity of particle shapes and *** this into consideration,we propose a unique approach to model the drag coefficient of non-spherical particles using machine learning(ML)to move towards generalization.A comprehensive database of approximately five thousand data points from reliable experiments and high-resolution simulations was compiled,covering a wide range of *** drag coefficient was modeled as a function of Reynolds number,sphericity,Corey Shape Factor,aspect ratio,volume fraction,and angle of *** ML techniques—Artificial Neural Networks,Random Forest,and AdaBoost—were used to train the *** models demonstrated strong generalization when tested on unseen ***,AdaBoost outperformed the others with the lowest MAPE(20.1%)and MRD(0.069).Additional analysis on excluded data confirmed the robust predictive abilities and generalization of the proposed *** models were also evaluated across three flow regimes—Stokes,transitional,and turbulent—to further assess their generalization.A comparative analysis with well-known empirical correlations,such as Haider and Levenspiel and Chien,showed that all ML models outperformed traditional approaches,with AdaBoost achieving the best *** current work demonstrates that new generated ML techniques can be reliably used to predict drag coefficient of non-spherical particles paving way towards generalization of ML approach.

关键词： Drag coefficient Non-spherical Neural network Random forest AdaBoost

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Modeling of astaxanthin biosynthesis via machine learning, mathematical and metabolic network modeling

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Critical Reviews in biotechnology 2024年第6期44卷 996-1017页

作者： Liyanaarachchi, Vinoj Chamilka Nishshanka, Gannoru Kankanamalage Sanuji Hasara Nimarshana, P. H. Viraj Chang, Jo-Shu Ariyadasa, Thilini U. Nagarajan, Dillirani Department of Chemical and Process Engineering Faculty of Engineering University of Moratuwa Moratuwa Sri Lanka Department of Mechanical Engineering Faculty of Engineering University of Moratuwa Moratuwa Sri Lanka Department of Chemical Engineering National Cheng Kung University Tainan Taiwan Department of Chemical and Materials Engineering Tunghai University Taichung Taiwan Research Center for Smart Sustainable Circular Economy Tunghai University Taichung Taiwan Department of Chemical Engineering and Materials Science Yuan Ze University Chung-Li Taiwan

Natural astaxanthin is synthesized by diverse organisms including: bacteria, fungi, microalgae, and plants involving complex cellular processes, which depend on numerous interrelated parameters. Nonetheless, existing knowledge regarding astaxanthin biosynthesis and the conditions influencing astaxanthin accumulation is fairly limited. Thus, manipulation of the growth conditions to achieve desired biomass and astaxanthin yields can be a complicated process requiring cost-intensive and time-consuming experiment-based research. As a potential solution, modeling and simulation of biological systems have recently emerged, allowing researchers to predict/estimate astaxanthin production dynamics in selected organisms. Moreover, mathematical modeling techniques would enable further optimization of astaxanthin synthesis in a shorter period of time, ultimately contributing to a notable reduction in production costs. Thus, the present review comprehensively discusses existing mathematical modeling techniques which simulate the bioaccumulation of astaxanthin in diverse organisms. Associated challenges, solutions, and future perspectives are critically analyzed and presented. © 2023 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Machine learning

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Market analysis and trends for products deriving from the biochemical and thermal treatment of multi-dispersed agricultural residues

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Frontiers of chemical Science and engineering 2025年第2期19卷 55-74页

作者： Vasiliki P.Aravani Shiya Wang Wen Wang Vagelis G.Papadakis Department of Civil Engineering University of PatrasPatras 26504Greece Biomass Energy and Environmental Engineering Research Center Beijing University of Chemical TechnologyBeijing 100029China Key Laboratory of Environmental Biotechnology Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China

Rapid population growth, economic development, resource constraints and various geopolitical problems, as well as intensifying environmental issues are leading to a worsening energy crisis. Oil, natural gas and coal are still the main sources of primary energy. Biofuels, such as biochar, bio-oil, biogas, and hydrogen, are one of the most significant renewable and sustainable energy sources. Their use can reduce net greenhouse gas emissions as well as dependence on imported fossil fuels, in response to the above, while the production and exploitation of biomass mainly from agricultural residues can also create jobs in rural and depopulated areas. In this study, a market analysis for biochar, bio-oil, biogas, and hydrogen was conducted worldwide intending to provide detailed information for the economic viability of sustainable agricultural systems and to specify the prospects for an economically viable introduction of each of the bio-products into the energy market. The results revealed that indeed these biofuels are one of the most significant and energy sources offering sustainability by reducing gas emissions into the atmosphere but also by managing residual biomass, thus contributing to waste management. A rapid acceleration is expected in the next years followed by price reduction.

关键词： biochar biofuels biogas bio-oil hydrogen market analysis

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