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4. Nanoporous carbon@CoFe2O4 nanocomposite as a green absorbent for the adsorptive removal of Hg(ii) from aqueous solutions

Author

Abubakar Lawal, Yusof Nor Azah, Abdullah Abdul Halim, Wahid Mohd Hanif, Abd Rahman Siti Fatimah, Mohammad Faruq, Al-Lohedan Hamad A., and Soleiman Ahmed A.

Subjects
nanoporous carbon, cofe2o3, magnetite nanoparticles, hg(ii) adsorption, thermodynamics, wastewater treatment, Chemistry, QD1-999
Abstract

To address the harmful pollutants found in heavy metals and agricultural waste, researchers have worked on creating various materials that can capture these pollutants. They have experimented with altering the shape, size, structure, surface properties, and bioactive components of these materials. This study aims to improve the effectiveness of materials used for adsorption, focusing on the combination of cobalt spinal ferrite (CoFe2O4) and nanoporous carbon (NC) obtained from discarded palm kernel shells with the aim of Hg(ii) removal. The composite formed by the hydrothermal method was characterized thoroughly with morphological, structural, functional, pore sizes, thermal analysis, and magnetization analysis. Adsorption experiments were conducted under optimal conditions with a mass of 0.3 g, a concentration of 30 mg·L−1 of Hg(ii), and a pH of 3. The aim was to adsorb Hg(ii) ions from aqueous solutions. The analysis of kinetic studies using the Freundlich model revealed that it provided the most accurate fit for the adsorption isotherm. This model indicated a maximum Hg(ii) adsorption efficiency of 232.56 mg·g−1. Additionally, the thermodynamic measurements indicate that the adsorption is a spontaneous, favorable, and endothermic process. Likewise, we assessed how well the NC@CoFe2O4 nanocomposite could absorb Hg(ii) ions in actual condensate samples from the oil and gas industry. The results demonstrated a 93% recovery rate for Hg(ii) ions in wastewater. According to the findings, the NC@CoFe2O4 nanocomposite synthesized appears to be a strong contender for wastewater treatment and, at the same time, the prepared nanocomposite’s effectiveness, affordability, and non-toxic nature support the potential applications.

Published
2023
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19. One-pot synthesis of iron oxide nanoparticles: Effect of stirring rate and reaction time on its physical characteristics.

Author

Idris, Auni Hamimi, Che Abdullah, Che Azurahanim, Yusof, Nor Azah, and Abdul Rahman, Mohd Basyaruddin

Subjects
IRON oxide nanoparticles, MAGNETIC nanoparticles, MAGNETIC properties, MAGNETIZATION, CRYSTALLINITY
Abstract

Iron oxide nanoparticles (IONP) have tremendous potential in various applications due to their unique physical and magnetic properties. Controlling synthesis parameters is essential to obtain IONP with desired properties. The influence of stirring rate and reaction time during synthesis of IONP from thermal decomposition of FeOOH on the particle size, crystallinity, and magnetic properties of the IONP were investigated. IONP produced at different reaction times and stirring rates had similar spherical shapes with low polydispersity. Particle size was found to increase from 4.9 nm to 8.6 nm when reaction time increased from 15 to 60 min, with the highest saturation magnetization of 34.3 Am2/kg obtained at 60 min. Stirring rates of 400 and 500 rpm produced IONP with better crystallinity and saturation magnetization than 300 and 600 rpm. The properties of IONP can be tuned by selecting appropriate stirring rates and reaction times during synthesis to suit the intended applications. [ABSTRACT FROM AUTHOR]

Published
2024
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25. List of Contributors

Author

Abdala, Ahmed, primary, Abdellaoui, Hind, additional, Abdel-Wahab, Ahmed, additional, Al balawi, Aisha Nawaf, additional, Al-Lohedan, Hamad A., additional, Amalin Kavitha, A., additional, Anilkumar, Parambath, additional, Ansari, Mairaj Ahmed, additional, Arfin, Tanvir, additional, Bhagabati, Purabi, additional, Bouhfid, Rachid, additional, Bwatanglang, Ibrahim Birma, additional, Chavali, Murthy, additional, Choonara, Yahya E., additional, Farooqi, Humaira, additional, Hoque, Md Enamul, additional, Hossain, Sakib Abrar, additional, Karim, Zoheb, additional, Kausar, Ayesha, additional, Khan, Mohd Jahir, additional, Khare, Puja, additional, Khatun, M. Mahfuza, additional, Kondiah, Pierre P.D., additional, Li, Lanlan, additional, Li, Sheng, additional, Mishra, Disha, additional, Mohammad, Faruq, additional, Mondal, Subrata, additional, Muhamad, I.I., additional, Musa, Yakubu, additional, Obulapuram, Prasanna Kumar, additional, Pachuau, Lalduhsanga, additional, Pa’e, N., additional, Pan, Lijia, additional, Penny, Clement, additional, Pillay, Viness, additional, Qaiss, Abou el kacem, additional, Shanker, Karuna, additional, Shawon, Zayed Bin Zakir, additional, Shi, Yi, additional, Singh, Anshu Anjali, additional, Svedberg, Anna, additional, Thomas Paul, K., additional, Tusnim, Jarin, additional, Wadud, Sharjis Ibne, additional, Wahab, Md A., additional, Wan, Sisi, additional, Yusof, A.H.M., additional, Yusof, Nor Azah, additional, and Zhao, Yu, additional

Published
2020
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26. Contributors

Author

Abdellaoui, Hind, primary, Akop, Mohd Zaid., additional, Asapur, Prithvi C., additional, Banerjee, Indrani, additional, Bensalah, Mohammed-ouadi, additional, Biswal, Anuradha, additional, Bouhfid, Rachid, additional, Britto, Jorold John, additional, Chakchak, Hind, additional, El Achaby, Mounir, additional, Essabir, Hamid, additional, Ganesh, K., additional, Hamdi, Ouassim, additional, Jawaid, Mohammad, additional, Jusuarockiam, Naveen, additional, Khairi, Nor Ain Shahera, additional, Khan, Anish, additional, Krishnasamy, Senthil kumar, additional, Kumar, R., additional, Mansor, Muhd Ridzuan., additional, Mekhzoum, Mohamed El Mehdi, additional, Mighri, Frej, additional, Muthukumar, Chandrasekar, additional, Nekhlaoui, Souad, additional, Qaiss, Abou el kacem, additional, Rahman, Siti Khadijah Ab., additional, Rajapaksha, Rajapaksha Dewage Asanka Amith, additional, Raji, Marya, additional, Ridwan, Ishak Mohd, additional, Rodrigue, Denis, additional, Saravanakumar, S.S., additional, Senthamaraikannan, P., additional, Swain, Sarat K., additional, Kumar T, Senthil Muthu, additional, Vijay Ananth, S., additional, and Yusof, Nor Azah, additional

Published
2020
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28. An Automated Colourimetric Test by Computational Chromaticity Analysis: A Case Study of Tuberculosis Test

Author

Hoque Tania, Marzia, Lwin, K. T., AbuHassan, Kamal, Bakhori, Noremylia Mohd, Azmi, Umi Zulaikha Mohd, Yusof, Nor Azah, Hossain, M. A., Kacprzyk, Janusz, Series editor, Pal, Nikhil R., Advisory editor, Bello Perez, Rafael, Advisory editor, Corchado, Emilio S., Advisory editor, Hagras, Hani, Advisory editor, Kóczy, László T., Advisory editor, Kreinovich, Vladik, Advisory editor, Lin, Chin-Teng, Advisory editor, Lu, Jie, Advisory editor, Melin, Patricia, Advisory editor, Nedjah, Nadia, Advisory editor, Nguyen, Ngoc Thanh, Advisory editor, Wang, Jun, Advisory editor, Fdez-Riverola, Florentino, editor, Mohamad, Mohd Saberi, editor, Rocha, Miguel, editor, De Paz, Juan F., editor, and Pinto, Tiago, editor

Published
2017
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40. Contributors

Author

Abd Rahman, Siti Fatimah, primary, Abdul Rahman, Mohd Basyaruddin, additional, Adnan, Noor Lyana, additional, Aghbashlo, Mortaza, additional, Ahmad Daud, Noraniza, additional, Albert, Emmellie Laura, additional, Ali, May, additional, Chang, Sook-Keng, additional, Che Abdullah, Che Azurahanim, additional, Chieng, Buong Woei, additional, Ghaemi, Ferial, additional, Hussein, Mohd Zobir, additional, Ibrahim, Nor Azowa, additional, Ismail, Ismayadi, additional, Jamaludin, Norhanisah, additional, Khadiran, Tumirah, additional, Khalaf, Ahmed Lateef, additional, Lee, Xin Jie, additional, Lim, Hong Ngee, additional, Mat Nong, Mohd Ali, additional, Md Yusof, Juraina, additional, Mobli, Hossein, additional, Mohd Zobir, Syazwan Afif, additional, Muhammad, Aliyu, additional, Muthoosamy, Kasturi, additional, Nicholas, Ahmad Fariz, additional, Othman, Raja Nor, additional, Rashid, Suraya Abdul, additional, Salleh, Mohamad Amran Mohd, additional, Shabaneh, Arafat Abdallah Abdelwadod, additional, Shojaei, Taha Roodbar, additional, Tabatabaei, Meisam, additional, Talib, Zainal Abidin, additional, Tan, Tongling, additional, Wilkinson, Arthur Norman, additional, Yaacob, Mohd Hanif, additional, Yunus, Robiah, additional, Yusof, Nor Azah, additional, and Zainal, Zulkarnain, additional

Published
2019
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47. Strategies in the optimization of DNA hybridization conditions and its role in electrochemical detection of dengue virus (DENV) using response surface methodology (RSM)

Author

Abdul Rashid, Jahwarhar Izuan, Yusof, Nor Azah, Abdullah, Jaafar, Shomiad @ Shueb, Rafidah Hanim, Abdul Rashid, Jahwarhar Izuan, Yusof, Nor Azah, Abdullah, Jaafar, and Shomiad @ Shueb, Rafidah Hanim

Abstract

In recent years, limited research has been conducted on enhancing DNA hybridization-based biosensor approaches using statistical models. This study explores the application of response surface methodology (RSM) to improve the performance of a DNA hybridization biosensor for dengue virus (DENV) detection. The biosensor is based on silicon nanowires decorated with gold nanoparticles (SiNWs/AuNPs) and utilizes methylene blue as a redox indicator. The DNA hybridization process between the immobilized DNA probe and the target DENV gene was monitored using differential pulse voltammetry (DPV) based on the reduction of methylene blue. Fourier-transform infrared spectroscopy (FTIR) and electrochemical impedance spectroscopy (EIS) were employed to confirm successful DNA hybridization events on the modified screen-printed gold electrode (SPGE) surface. Several parameters, including pH buffer, NaCl concentration, temperature, and hybridization time, were simultaneously optimized, with NaCl concentration having the most significant impact on DNA hybridization events. This study enhances the understanding of the role of each parameter in influencing DNA hybridization detection in electrochemical biosensors. The optimized biosensor demonstrated the ability to detect complementary oligonucleotide and amplified DENV gene concentrations as low as 0.0891 ng mL−1 (10 pM) and 2.8 ng mL−1 , respectively. The developed biosensor shows promise for rapid clinical diagnosis of dengue virus infection.

Published
2023

50. β-Cyclodextrin Functionalized Reduced Graphene Oxide–Gold Nanoparticles for Electrochemical Detection of Stigmasterol in Ganoderma boninense-Infected Oil Palm Leaves

Author

Khairi, Nor Ain Shahera, Yusof, Nor Azah, Abdullah, Jaafar, Seman, Idris Abu, Ithnin, Nalisha, and ABDRAHMAN, Siti Fatimah Abd

Abstract

Ganoderma boninense (G.boninense), a problematic fungus, causes major upper and basal stem rot (BSR) in palm trees. The interaction between G.boninense and oil palms generates several secondary metabolites as a defense mechanism, including sterol compounds such as stigmasterol. Herein, a sensitive electrochemical sensor based on beta-cyclodextrin, functionalized with reduced graphene oxide–gold nanoparticles ( $\beta $ -CD–rGO/AuNPs), was developed to detect stigmasterol, a biomarker for G.boninense-infected oil palm. The fabricated $\beta $ -CD–rGO/AuNPs were characterized using Fourier transform infrared (FTIR) and Raman spectroscopy to provide detailed information on the chemical functional groups. The surface morphology of the modified electrode was examined using field emission scanning electron microscopy (FESEM) and high-resolution transmission electron microscopy, confirming the successful deposition of $\beta $ -CD–rGO/AuNPs onto the screen-printed carbon electrode (SPCE) surface. Differential pulse voltammetry was used for the electrochemical detection of stigmasterol, revealing a decrease in peak current after stigmasterol displaced methylene blue (MB) from $\beta $ -cyclodextrin cavities. Enhanced peak current of stigmasterol on $\beta $ -CD–rGO/AuNPs-modified SPCE indicated the superior electrical conductivity and electrocatalytic activity of the integrated rGO and AuNPs, along with enhanced host–guest recognition and enrichment capacity of $\beta $ -CD compared to bare SPCE and $\beta $ -CD–rGO. Under optimal conditions, the developed electrochemical stigmasterol sensor demonstrated a response time of 30 s, excellent sensitivity, a linear range at concentration 2– $30 \mu \text{M}$ , and a detection limit of $1.5 \mu \text{M}$ . Furthermore, the sensor demonstrated promising feasibility for real sample analysis, indicating its potential use in plant disease detection via electrochemical analysis of stigmasterol.

Published
2024
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