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Biomass-Based Discrete Furan Oligomers as Materials for Electrochromic Devices

ACS Sustainable Chemistry and engineering 2024年第1期12卷 459-469页

作者： Atayde, Eduardo C. Fong, Guan-Lun Yeh, Jyun-Yi Matsagar, Babasaheb M. Wang, Yu-Cheng Chen, De-Chian Peng, Chi-How Li, Yi-Pei Yamauchi, Yusuke Ho, Kuo-Chuan Wu, Kevin C.-W. Molecular Science and Technology Program Taiwan International Graduate Program (TIGP-MST) Academia Sinica No. 128 Sec. 2 Academia Road Taipei 11529 Taiwan Department of Chemistry National Tsing Hua University No. 101 Sec. 2 Kuang-Fu Road Hsinchu 30013 Taiwan Department of Chemical Engineering National Taiwan University No. 1 Sec. 4 Roosevelt Road Taipei 10617 Taiwan Sustainable Chemical Science and Technology Program Taiwan International Graduate Program (TIGP-SCST) Academia Sinica No. 128 Sec. 2 Academia Road Taipei 11529 Taiwan School of Chemical Engineering and Australian Institute for Bioengineering and Nanotechnology (AIBN) The University of Queensl Brisbane 4072 QLD Australia Department of Materials Process Engineering Graduate School of Engineering Nagoya University Nagoya 464-8603 Japan Institute of Polymer Science and Engineering National Taiwan University No.1 Sec. 4 Roosevelt Rd. Taipei 10617 Taiwan Department of Chemical Engineering and Materials Science Yuan Ze University No. 135 Yuandong Rd. Taoyuan 320 Taiwan

Electrochromic devices (ECDs) are materials that can undergo reversible changes in transmittance when exposed to different applied potentials. While many conjugated heterocyclic oligomers, such as oligothiophenes, have been developed for this purpose, there is no reported study on the use of discrete oligomeric furans as ECD materials. In this work, we introduce a furan trimer that can be utilized as a discrete electrochromic material, which transitions from light yellow to red and has a very high coloration efficiency of 1940 cm²/C at 507 nm. We propose that the reversible π-stack formation of the oligomer radical cations is behind this phenomenon, as evidenced by both experimental and computational results. The derivability of this oligomer from biomass and its facile synthesis make it an interesting alternative for other existing organic electrochromic materials. © 2023 American chemical Society

关键词： electrochromism furan oligomer hydroxyalkylation−alkylation reaction solvatochromism π-stacks

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Synergistic Effect of Fe Nanoparticles Supported on Nanoporous Carbon for Catalyzing Hydrogen Storage Properties of Mg(Bh4)2

SSRN

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SSRN 2023年

作者： Wahab, Md. Abdul Karim, Mohammad Rezaul Al-Mubaddel, Fahad S. Sindan, A. Will, Geoffrey Abdala, Ahmed Nanomaterials Centre Australian Institute for Bioengineering and Nanotechnology The University of Queensland St Lucia BrisbaneQLD4072 Australia Energy and Process Engineering Division School of Mechanical Medical and Process Engineering Science and Engineering Faculty Queensland University of Technology 2 George Street QLD4001 Australia Chemical Engineering Program Texas A and M University Education City Doha Qatar King Saud University Riyadh11421 Saudi Arabia K.A. CARE Energy Research and Innovation Center King Saud University Riyadh11451 Saudi Arabia Chemical Engineering Department King Saud University PO Box 800 Riyadh11421 Saudi Arabia

This study investigates synergistic effects of Fe nanoparticles (FeNPs) supported on mesoporous carbon (MC) for catalyzing hydrogen storage properties of Mg(BH4)2 (MBH). The study compares two methods for dispersing Fe NPs in MC: (i) ultrasonication nanoconfinement (un) and (ii) postnanoconfinement (pn) via stirring. Based on the results, it is found that the ultrasonication nanoconfinement method can effectively disperse the FeNPs with 5 nm in MC support (FeNP-unMC), later which can efficiently confine MBH (FeNP-un-MC@MBH system). The hydrogen (H2) desorption properties of the FeNP-un-MC@MBH system were found to be better than that of postconfinement-mediated FeNP-pn-MC@MBH system. For instance, H2 started to desorb from the FeNP-un-MC@MBH system at only 66°C (Tonset) and reached its peak at ~153°C, compared to 270°C (Tonset) and its peak ~350°C for pure MBH, respectively. The ultrasonication-mediated nanoconfined FeNP-un-MC@MBH system released a total of 7.01 wt% H2 within 90 minutes at 350°C. The study shows that the activation energy (Ea) of FeNP-un-MC@MBH is 19.57 kJ/mol, achieved due to the improved dehydrogenation kinetics of MBH. These improvements are due to the synergistic effects of nano-compartmentalization and highly dispersed Fe NP catalyst sites in the MC support. The research emphasizes the promising application of ultrasonication-mediated nanoconfined Fe NPs in mesoporous carbon which can be used as an effective catalyst for enhancing the hydrogen storage properties of metal-based hydrides (MBH). © 2023, The Authors. All rights reserved.

关键词： Hydrogen storage

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Characterization and performances of hydrophobic polymer membrane modified with dragon’s blood resin

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AIP Conference Proceedings 2023年第1期2613卷

作者： Aulia Chintia Ambarita Sri Mulyati Nasrul Arahman Muhammad Roil Bilad 1Doctoral School of Engineering Science School of Engineering Post Graduate Program Universitas Syiah Kuala Banda Aceh 23111 Indonesia 2Department of Chemical Engineering Faculty of Engineering Universitas Syiah Kuala Banda Aceh 23111 Indonesia 3Department of Chemical and Process Engineering Faculty of Integrated Technologies Universiti Brunei Darussalam Jalan Tungku Link-Gadong BE1401 Brunei

Hydrophobic membranes have limitations, which are the low permeation rate and susceptible to fouling, therefore membrane modifications are generally required. In this paper, hydrophobic polymer membrane modification has been studied by mixing dragon's blood resin (DBR) as bio additive. Two types of polymers were used, they were polyethersulfon (M-3 PES) and polyvinylidene Two types of polymers were used, they were polyethersulfon (M-3 PES) and polyvinylidene fluoride (M-3 PVDF) with a concentration of 14.5% polymer and 3% DBR. The results showed that M-3 PES had greater porosity, water uptake, pore size, and clean water flux than M3-PVDF. However, the antifouling performance of M-3 PVDF membrane tends to be better than M-3 PES, as well as its rejection. Both membranes tend to be stable even after repeated use.

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The growth of local microalgae in synthetic and agricultural wastewater for aquaculture feed application

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AIP Conference Proceedings 2023年第1期2682卷

作者： Jannatulhawa Jasni Nazlina Haiza Mohd Yasin Mohd Sobri Takriff 1Department of Chemical and Process Engineering Faculty of Engineering and Built Environment Universiti Kebangsaan Malaysia 43600 UKM Bangi Selangor Malaysia. 2Department of Biological Sciences and Biotechnology Faculty of Science and Technology Universiti Kebangsaan Malaysia 43600 UKM Bangi Selangor Malaysia 3Chemical and Water Desalination Program College of Engineering University of Sharjah United Arab Emirates.

Microalgae's high protein content makes them an attractive feedstock for aquaculture feed applications. However, an economical and effective mass cultivation is essential for greater feasibility in microalgal-based aquaculture applications. Therefore, in this research the utilization of wastewater for microalgal cultivation using two local species of Chlamydomonas sp. UKM6 and Scenedesmus sp. UKM9 were discussed with particular attention to the feasibility of utilizing POME as microalgal growth medium for the production of bulk biomass. The growth rate for Chlamydomonas sp. UKM6 and Scenedesmus sp. UKM9 grown in Bold's Basal Media (BBM) were found higher (0.2829, 0.4045 day-1) than in POME (0.160, 0.255 day-1). Their biomass were then applied as zooplankton enrichment feed for Daphnia magna and then subsequently for feeding fish larvae. The result shown that enriched Daphnia using Scenedesmus sp. UKM9 microalgae promotes better growth, survival and fecundity of fish larvae (P>0.05) than the control diet using dried yeast. Thus, this research indicating the feasibility of culturing microalgae using wastewater as a means to reduce the cost of production is possible and therefore can be applied in aquaculture feed industries.

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Potential of Eggshell Waste Derived Calcium for Sustainable Production of Biogas from Cassava Wastewater

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SSRN 2022年

作者： Cruz, Ianny Andrade Andrade, Larissa Renata Santos de Jesus, Anderson Alles de Vasconcelos, Bruna Rego Bharagava, Ram Naresh Bilal, Muhammad Figueiredo, Renan Tavares de Souza, Ranyere Lucena Romanholo Ferreira, Luiz Fernando Graduate Program in Process Engineering Tiradentes University Av. Murilo Dantas 300 Farolândia SE Aracaju49032-490 Brazil Universidade Federal do Maranhão Campus Balsas MA Balsas65800-000 Brazil Biomass Technology Laboratory Department of Chemical Engineering and Biotechnology Engineering Université de Sherbrooke 2500 Boul. de L’Université SherbrookeQCJ1K 2R1 Canada Vidya Vihar Raebareli Road Uttar Pradesh Lucknow226 025 India School of Life Science and Food Engineering Huaiyin Institute of Technology Huaian223003 China Institute of Technology and Research Av. Murilo Dantas 300 Farolândia SE Aracaju49032-490 Brazil

Cassava is a staple crop that plays a significant role in the food security of many countries. However, its processing produces a liquid by-product known as cassava wastewater (CW), which can have adverse environmental consequences if discarded without treatment. Despite its cyanide content, CW has a high organic content and may be profitable when used to produce biogas. In this study, the influence of calcium particles from eggshell residues was investigated on the anaerobic digestion of CW. Moreover, the performance of the bioreactor was remotely monitored. Calcium particles from milled-calcined chicken eggshells were added to the bioreactor, and biogas production was investigated for 21 days. Adding 1 g/L and 3 g/L of calcium particles increased biogas (Bio H 2 + Bio CH 4 ) production by 195% and 338%, respectively. Finally, the requirement for digestate post-treatment before use in agriculture was observed after assessing its phytotoxicity through the germination and root growth of L. sativa seeds. © 2022, The Authors. All rights reserved.

关键词： Sustainable development

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Evaluation of Artificial Neural Network Models for Predictive Monitoring of Biogas Production from Cassava Wastewater: Comparison of Training Algorithms

SSRN

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SSRN 2022年

作者： Cruz, Ianny Andrade Nascimento, Victor Ruan Silva Felisardo, Raul José Alves dos Santos, Ataíde Mateus Gualberto de Jesus, Anderson Alles de Vasconcelos, Bruna Rego Bilal, Muhammad de Souza, Ranyere Lucena Ferreira, Luiz Fernando Romanholo Graduate Program in Process Engineering Tiradentes University Av. Murilo Dantas 300 Farolândia SE Aracaju49032-490 Brazil Programa de Pós-Graduação em Engenharia Elétrica Universidade Federal de Sergipe Av. Marechal Rondon s/n Jd. Rosa Elze SE São Cristóvão49100-000 Brazil Universidade Federal do Maranhão Campus Balsas MA Balsas65800-000 Brazil Biomass Technology Laboratory Department of Chemical Engineering and Biotechnology Engineering Université de Sherbrooke 2500 Boul. de L’Université SherbrookeQCJ1K 2R1 Canada Institute of Chemical Technology and Engineering Faculty of Chemical Technology Poznan University of Technology Berdychowo 4 PoznanPL-60695 Poland Institute of Technology and Research Av. Murilo Dantas 300 Farolândia SE Aracaju49032-490 Brazil

In this study, machine learning integrated based models for predicting cumulative biogas from anaerobic digestion (AD) of cassava wastewater were developed using artificial neural networks (ANNs). Biogas generation was investigated for 21 days with and without the inclusion of calcium particles from milled calcined chicken waste as a low-cost substitute for buffering. Digestion time, pH, and calcium concentration were selected as input features for biogas prediction through the implementation of the ANN approach. Moreover, seven different training algorithms were used to train the model, and a genetic algorithm (GA) was also implemented to optimize the ANN architecture, resulting in faster learning and higher prediction performance. Given the data set, the Levenberg-Marquardt algorithm with a hyperbolic tangent as a transfer function to the hidden and output layers was the most efficient model in predicting the biogas produced with an R-value of 0.9999. © 2022, The Authors. All rights reserved.

关键词： Genetic algorithms

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Synthesis of 9-(4-bromophenyl)-3,4,5,6,7,9-hexahydro-1H-xanthene-1,8(2H)-dione using lime and lemon juice as a green catalyst and its antioxidant activity

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AIP Conference Proceedings 2021年第1期2353卷

作者： Rini Retnosari Anita Lestari Siti Marfu’ah Aman Santoso Dedek Sukarianingsih Yuli Ainun Rosidah 1Department of Chemistry Faculty of Mathematics and Natural Sciences Universitas Negeri Malang Jl Semarang 5 Malang 65145 Indonesia 2Chemical Engineering Study Program Sekolah Tinggi Teknik Industri Turen Malang Indonesia

Synthesis of 9-(4-bromophenyl)-3,4,5,6,7,9-hexahydro-1H-xanthene-1,8(2H)-dione (compound 1) using lime and lemon juices as catalyst under free solvent condition has been successfully done. Both fruits contained citric acid, which operates as an acidic catalyst. The structure of compound 1 was confirmed by IR, H-NMR, and MS spectra. The use of the natural product as a green catalyst has some advantages, that is eco-friendly, cheap, high availability, and biodegradable. DPPH methods were used as methods to determine the antioxidant properties of compound 1. This compound has properties as antioxidant with inhibition percentage of 59.20%, 65.38%, 67.41%, 68.53%, 70.0% at 2, 4, 6, 8, and 10 ppm respectively.

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Synthesis of 9-(4-hydroxyphenyl)-3,4,6,7-tetrahydro-2H-xanthene-1,8(5H,9H)-dione using lime and lemon juice as an acidic catalyst and its antioxidant activity

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AIP Conference Proceedings 2021年第1期2353卷

作者： Rini Retnosari Nanda Harisya Puteri Sutrisno Sutrisno Siti Marfu'ah Aman Santoso Dedek Sukarianingsih Yuli Ainun Rosidah 1Department of Chemistry Faculty of Mathematics and Natural Sciences Universitas Negeri Malang Jl. Semarang 5 Malang 65145 Indonesia 2Chemical Engineering Study Program Sekolah Tinggi Teknik IndustriTuren Malang Indonesia

The 1,8-dioxo-octahydroxantene has many derivates. One of those is 9-(4-hydroxyphenyl)-3,4,6,7-tetrahydro-2H-xanthene-1,8(5H,9H)-dione. This compound has been successfully synthesized from 4-hydroxybenzaldehyde and 1,3-cyclohexanedione. This reaction has been catalyzed by lime and lemon juice under the free solvent condition. It is assumed that citric acid in both materials has a role in catalyzing this reaction. The advantages of using them as catalysts are biodegradable, environmentally safe, and cheap. Besides that, the synthesis of this compound only required one reaction stage, and the product was easily purified. The structure of the pure product was determined by FT-IR, H-NMR, and GC-MS. The antioxidant activity of this compound was investigated by the DPPH method. This compound had an antioxidant activity with inhibition percentage over 53.42%.

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Evaluation of Artificial Neural Network Models for Predictive Monitoring of Biogas Production from Cassava Wastewater: Comparison of Training Algorithms

SSRN

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SSRN 2022年

作者： Cruz, Ianny Andrade Nascimento, Victor Ruan Silva Felisardo, Raul José Alves dos Santos, Ataíde Mateus Gualberto de Jesus, Anderson Alles de Vasconcelos, Bruna Rego Bilal, Muhammad Cavalcanti, Eliane Bezerra de Souza, Ranyere Lucena Ferreira, Luiz Fernando Romanholo Graduate Program in Process Engineering Tiradentes University Av. Murilo Dantas 300 Farolândia SE Aracaju49032-490 Brazil Programa de Pós-Graduação em Engenharia Elétrica Universidade Federal de Sergipe Av. Marechal Rondon s/n Jd. Rosa ElzeSE São Cristóvão49100-000 Brazil Universidade Federal do Maranhão Campus Balsas MA Balsas65800-000 Brazil Biomass Technology Laboratory Department of Chemical Engineering and Biotechnology Engineering Université de Sherbrooke 2500 Boul. de L’Université SherbrookeQCJ1K 2R1 Canada Huaiyin Institute of Technology China Institute of Technology and Research Av. Murilo Dantas 300SE Farolândia Aracaju49032-490 Brazil

In this study, machine learning integrated based models for predicting cumulative biogas from anaerobic digestion (AD) of cassava wastewater were developed using artificial neural networks (ANNs). Biogas generation was investigated for 21 days with and without the inclusion of calcium particles from milled calcined chicken waste as a low-cost substitute for buffering. Digestion time, pH, and calcium eggshell-based concentration were selected as input features for biogas prediction through the implementation of the ANN approach. Moreover, seven different training algorithms were used to train the model, and a genetic algorithm (GA) was also implemented to optimize the ANN architecture, resulting in faster learning and higher prediction performance. Given the data set, the Levenberg-Marquardt algorithm with a hyperbolic tangent as a transfer function to the hidden and output layers was the most efficient model in predicting the biogas produced with an R-value of 0.9999. © 2022, The Authors. All rights reserved.

关键词： Biogas

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Production of empty palm bunch biochar using microwave-assisted pyrolysis at low temperature

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AIP Conference Proceedings 2021年第1期2397卷

作者： Atipong Paikamnam Weerawat Clowutimon Sirayu Chanpee Pongsert Sriprom Pornsawan Assawasaengrat 1Department of Chemical Engineering School of Engineering King Mongkut’s Institute of Technology Ladkrabang Bangkok Thailand 2Program of Food Process Engineering Faculty of Agro-Industry King Mongkut’s Institute of Technology Ladkrabang Bangkok Thailand

In this study, the production of palm empty fruit bunch biochar using microwave-assisted pyrolysis at low temperature was investigated. The empty palm bunch composition was analyzed by proximate analysis. The parameters relating to the production, i.e. type of microwave absorber, microwave power, heating time and ratio of palm empty fruit bunch to initial amount of microwave absorber, were studied to determine the optimum condition. The results found that the amount of fixed carbon in the empty palm bunch was approximately 10%. The optimum condition was microwave power 300-watt, heating 450 sec and ratio of empty palm bunch to concentrated sulfuric acid (the most suitable microwave absorber) 1:2.5. At this condition, the production yield was 50.78%. The iodine number of the biochar was 318.5 mg/g. The BET surface area of the biochar was 101.54 m2/g. The total pore volumes and pore diameter of the biochar were 0.144 cm3/g and 4.29 nm. respectively. The elemental analysis of biochar at the optimum condition was mainly composed of carbon and oxygen. The ratio of O/C is 0.73 indicating that the biochar is quite stable product against oxidation.

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