Shihao Feng^1,2,3, Qin Ouyang^1,2,*, Jing Huang^1,2, Xilin Zhang³, Zhongjun Ma⁴, Kun Liang^1,2, Qing Huang^1,2,*

Journal of Renewable Materials, Vol.12, No.7, pp. 1207-1218, 2024, DOI:10.32604/jrm.2024.052579 - 21 August 2024

Abstract Lignin-derived porous carbons have emerged as promising electrode materials for supercapacitors. However, the challenge remains in designing and controlling their structure to achieve ideal electrochemical performance due to the complex molecular structure of lignin and its intricate chemical reactions during the activation process. In this study, three porous carbons were synthesized from lignin by spray drying and chemical activation with varying KOH ratios. The specific surface area and structural order of the prepared porous carbon continued to increase with the increase of the KOH ratio. Thermogravimetric-mass spectrometry (TG-MS) was employed to track the molecular fragments More > Graphic Abstract

Ninis Hadi Haryanti^1,*, Eka Suarso¹, Tetti N. Manik¹, Suryajaya¹, Nurlita Sari¹, Darminto²

Journal of Renewable Materials, Vol.12, No.2, pp. 203-214, 2024, DOI:10.32604/jrm.2023.043549 - 11 March 2024

Abstract Nipa palm is one of the non-wood plants rich in lignocellulosic content. In this study, palm fronds were converted into activated carbon, and their physical, chemical, and morphological properties were characterized. The resulting activated carbon was then applied as an adsorbent of Fe metal in peat water. The carbonization process was carried out for 60 min, followed by sintering at 400°C for 5 h with a particle size of 200 mesh. KOH and H₃PO₄ were used in the chemical activation process for 24 h. KOH-activated carbon contained 6.13% of moisture, 4.55% of ash, 17.02% of volatile… More > Graphic Abstract

Jianping Deng¹, Qianqian Zhang¹, Yuling Lan¹, Lingcong Luo¹, Zimin Dai¹, Zhonghang Lin¹, Zhixin Lu¹, Jiancheng Yuan¹, Yiqi Fu¹, Lu Luo^2,*, Weigang Zhao^1,*

Journal of Renewable Materials, Vol.11, No.6, pp. 2631-2646, 2023, DOI:10.32604/jrm.2023.027163 - 27 April 2023

Abstract The development and utilization of biomass and agroforestry processing byproducts for high-value applications have been an important topic in the field of renewable materials research. Based on this, a two-step microwave hydrothermal pre-carbonization and KOH activation method was proposed to synthesize tannin-based activated carbons with a high specific surface area, hierarchical pore structure, and good electrochemical performance. The microstructure, texture properties, and physicochemical characteristics were investigated. The results show that the prepared tannin-based activated carbons presented a hierarchical pore structure (micro- and mesopores) with a specific surface area as high as 997.46 m³ g⁻¹ . The… More > Graphic Abstract

Sri Hidayati^1,*, Eugenia Fonny Budiyanto¹, Hadi Saputra¹, Sutopo Hadi¹, Apri Heri Iswanto^2,3, Nissa Nurfajrin Solihat⁴, Petar Antov⁵, Lee Seng Hua^6,7, Widya Fatriasari^4,8, Mohd. Sapuan Salit⁹

Journal of Renewable Materials, Vol.11, No.6, pp. 2865-2879, 2023, DOI:10.32604/jrm.2023.027579 - 27 April 2023

Abstract Black liquor is obtained as a by-product of the pulping process, which is used to convert biomass into pulp by removing lignin, hemicelluloses and other extractives from wood to free cellulose fibers. Lignin represents a major constituent in black liquor, with quantities varying from 20% to 30%, of which a very low share is used for manufacturing value-added products, while the rest is mainly burned for energy purposes, thus underestimating its great potential as a raw material. Therefore, it is essential to establish new isolation and extraction methods to increase lignin valorization in the development… More > Graphic Abstract

A. Arunkumar^1,*, D. Surendran²

Computer Systems Science and Engineering, Vol.41, No.1, pp. 389-404, 2022, DOI:10.32604/csse.2022.020256 - 08 October 2021

Abstract Difficulty in communicating and interacting with other people are mainly due to the neurological disorder called autism spectrum disorder (ASD) diseases. These diseases can affect the nerves at any stage of the human being in childhood, adolescence, and adulthood. ASD is known as a behavioral disease due to the appearances of symptoms over the first two years that continue until adulthood. Most of the studies prove that the early detection of ASD helps improve the behavioral characteristics of patients with ASD. The detection of ASD is a very challenging task among various researchers. Machine learning… More >

Bolun Chen^{1, 2}, Guochang Zhu^{1, *}, Min Ji¹, Yongtao Yu¹, Jianyang Zhao¹, Wei Liu³

CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 1039-1049, 2020, DOI:10.32604/cmc.2020.010583 - 10 June 2020

Abstract Air quality prediction is an important part of environmental governance. The accuracy of the air quality prediction also affects the planning of people’s outdoor activities. How to mine effective information from historical data of air pollution and reduce unimportant factors to predict the law of pollution change is of great significance for pollution prevention, pollution control and pollution early warning. In this paper, we take into account that there are different trends in air pollutants and that different climatic factors have different effects on air pollutants. Firstly, the data of air pollutants in different cities… More >