Article
Engineering, Electrical & Electronic
Ali Abbasi, Hossein Khojasteh, Amir Homayoun Keihan, Kourosh Adib, Ali Sobhani-Nasab, Mehdi Rahimi-Nasrabadi
Summary: This study found that the nature of stabilizing and alkaline agents greatly influence the morphology and photocatalytic activity of NiCr2O4 nanoparticles, with NiCr2O4/Ag nanostructures enhancing the photocatalytic activity for Rhodamine B.
JOURNAL OF MATERIALS SCIENCE-MATERIALS IN ELECTRONICS
(2021)
Article
Environmental Sciences
K. Ancy, C. Vijilvani, M. R. Bindhu, S. Jeslin Sunitha Bai, Khalid S. Almaary, Turki M. Dawoud, Ayman Mubarak, Mohammed Sulaiman Alfadul
Summary: The study investigates the effects of TiO2 nanoparticles doped with Sn and F on optical, structural, photocatalytic, and antibacterial activities, showing that doping can suppress the growth of certain phases in TiO2 and alter its optical properties. Doped particles exhibit enhanced degradation efficiency towards fish processing waste water and dyes compared to undoped samples, suggesting potential applications in environmental remediation.
Article
Chemistry, Multidisciplinary
Ricardo J. C. Fernandes, Carlos A. B. Magalhaes, Ana Rita O. Rodrigues, Bernardo G. Almeida, Ana Pires, Andre Miguel Pereira, Joao Pedro Araujo, Elisabete M. S. Castanheira, Paulo J. G. Coutinho
Summary: In this study, zinc/calcium mixed ferrite nanoparticles coupled with photodeposited silver were successfully used for the efficient photodegradation of textile dyes. The composite material exhibited high photocatalytic efficiency and magnetic recovery and reutilization capabilities, as confirmed by experimental results.
Article
Environmental Sciences
Yeganeh Kosar Hashemi, Mohammad Tavakkoli Yaraki, Sina Ghanbari, Leily Heidarpoor Saremi, Mohammad Hadi Givianrad
Summary: Visible-light driven photocatalysts play a significant role in wastewater treatment. A fluorine and nitrogen co-doped titanium dioxide/silica nanocomposite with high surface area and narrow band gap was successfully synthesized as a potential candidate for photocatalytic applications under visible light. Systematic density functional theory calculations were conducted to understand the effect of dopant atoms on the band gap of TiO2 nanoparticles. The study demonstrated the successful removal of organic water pollutants by carefully controlling operational parameters and using highly efficient photocatalytic nanomaterials.
Article
Chemistry, Multidisciplinary
Shufeng Liang, Tingyu Chen, Yun Zhao, Yali Ren, Miaomiao Li, Dongtao Lu, Junhao Wang, Yan Dai, Yujing Guo
Summary: This study investigates the influence of O-doping on the peroxidase-like activity of CoS2 nanoparticles. The results show that O-doping reduces the energy barrier for H2O2 dissociation and promotes the formation of OH and O-2(-), leading to enhanced catalytic activity.
Article
Materials Science, Multidisciplinary
Jianan Cheng, Xuelei Peng, Fang Li, Guobao Li, Mingming Yao
Summary: In this study, Ag/Co/B tri-doped TiO2/SiO2 film was prepared by the sol-gel method, and its structure and properties were characterized. The film showed excellent thermal stability, larger specific surface area, and smaller grain size compared to pure TiO2 film. The combination of SiO2 adsorption capacity and the Schottky barrier formed by Ag and TiO2 improved the photocatalytic performance and optical absorption efficiency. UV-vis DRS analysis revealed a lower band gap energy for the film due to Co and B ions doping. The film exhibited excellent photocatalytic degradation ability and stability against different organic pollutants.
FUNCTIONAL MATERIALS LETTERS
(2022)
Article
Environmental Sciences
Yichao Deng, Mengying Xu, Xiangyang Jiang, Junting Wang, Pier-Luc Tremblay, Tian Zhang
Summary: Crystal plane regulation, defect engineering, and element doping were utilized to enhance the performance of BiOCl for pollutant degradation. Iodine-doped BiOCl nanowafers with (110) crystal planes and oxygen vacancies were prepared and showed excellent photodegradation properties. The iodine-doped photocatalyst achieved high degradation efficiencies for toxic dye and antibiotic, outperforming unmodified BiOCl. The enhanced properties were attributed to the presence of (110) crystal planes, oxygen vacancies, and a modified electronic band structure.
ENVIRONMENTAL RESEARCH
(2023)
Article
Environmental Sciences
Zhansheng Wu, Xiufang He, Zhenzhen Gao, Yongtao Xue, Xin Chen, Luohong Zhang
Summary: In this study, Fe(3)O(4) was implanted into activated carbon using in situ synthesis method to create magnetic activated carbon (MAC), which was then used as a support for anchoring Ni-doped anatase TiO2 (NATiO(2)) to synthesize a series of Ni-TiO2/MAC photocatalysts. The results showed that these photocatalysts exhibited high removal efficiency for TPMs, good cycle stability, and ease of reusability.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Chemistry, Physical
Naaser A. Y. Abduh, Abdel-Basit Al-Odayni
Summary: This study successfully synthesized SnO2-decorated ZnO nanocomposites using a biosynthesis approach and demonstrated their effectiveness as photocatalysts for dye removal from polluted water. The addition of SnO2 improved the performance of the photocatalyst, with the greatest enhancement observed at 20% Sn decoration. Furthermore, the catalyst exhibited stability and activity even after multiple activating cycles.
Article
Chemistry, Physical
Ming Zhang, Yankun Tang, Xin Tian, Hairong Wang, Jiuhong Wang, Qunming Zhang
Summary: A thin film sensor based on aluminum-doped zinc oxide (AZO) prepared by magnetron co-sputtering technology showed excellent response to formaldehyde at an operating temperature of 240 degrees C. The sensor exhibited good sensitivity to formaldehyde ranging from 100 ppb to 3 ppm, and could detect as low as 50 ppb, with high reproducibility and selectivity over other gases.
JOURNAL OF ALLOYS AND COMPOUNDS
(2021)
Article
Engineering, Electrical & Electronic
Prabhat Kumar Singh, Neetu Singh, Saurabh Kumar Singh, Mridula Singh, Poonam Tandon
Summary: Nanostructured ZnO and 5% Co-doped ZnO were successfully prepared using a sol-gel technique. The synthesized materials were characterized using different techniques, such as X-ray diffraction (XRD), Fourier transform infrared (FTIR), Scanning Electron Microscopy (SEM), and Elemental-Dispersive X-ray Analysis (EDX), to study their structural, optical, topographical, and elemental properties. The results showed that the average crystallite sizes of ZnO and 5% Co-doped ZnO were 27 nm and 20 nm, respectively. SEM images revealed the porous nature of both materials with spherical and rounded morphology. The synthesized materials were also tested for their LPG sensing application, and it was found that 5% Co-doped ZnO exhibited extremely low response and recovery times, high sensitivity, and reproducibility.
JOURNAL OF MATERIALS SCIENCE-MATERIALS IN ELECTRONICS
(2023)
Article
Engineering, Environmental
Ngonidzashe Masunga, Bhekie B. Mamba, Kebede K. Kefeni
Summary: A novel nano composite of CuSm0.06Fe1.94O4@g-C3N4 with exceptional properties was synthesized and showed high efficiency in degrading pollutants under visible light. The nanocomposite also exhibited good degradation effects on various dyes and pharmaceuticals. The influence of reaction parameters on degradation efficiency was investigated, and the nanocomposite showed minimal loss in performance after multiple cycles and could be easily separated from treated water.
JOURNAL OF WATER PROCESS ENGINEERING
(2022)
Article
Chemistry, Physical
Wei Qi, Yang Yang, Jifu Du, Jun Yang, Limin Guo, Long Zhao
Summary: Zr/Ag co-doped TiO2 nanofibers exhibit superior photocatalytic activity for Congo red compared to TiO2 nanofibers and Zr-doped TiO2 nanofibers, attributed to the synergistic effects of Zr, Ag, and Ti. The optimized Zr/Ag-co-doped TiO2 nanofibers show the best photocatalytic activity with a kinetic constant 12 times higher than that of TiO2 nanofibers, providing a foundation for future materials synthesis with high photocatalytic activity.
JOURNAL OF COLLOID AND INTERFACE SCIENCE
(2021)
Article
Chemistry, Physical
Mahdieh Ghobadifard, Arezoo Azizi, Sajjad Mohebbi
Summary: Ce-Co co-doped PbTiO3 (Ce-Co-PTO) is synthesized through a simple hydrothermal method. The as-prepared Ce-Co-PTO perovskite exhibits a wide light absorption range and remarkable photocatalytic performance, achieving the conversion of RhB dye in just 10 minutes under UV light irradiation. The enhanced photocatalytic efficiency is attributed to the strong electronic interaction among Ce, Co, and PTO, which promotes charge carrier separation and transfer. The optimized conditions for RhB conversion, including catalyst amount, pH, electron acceptor, and temperature, are investigated. The postulated photocatalytic mechanism and stability of Ce-Co-PTO perovskite are also discussed. The Ce-Co-PTO perovskite holds promising prospects for dye contaminant treatment under renewable light sources.
JOURNAL OF ALLOYS AND COMPOUNDS
(2023)
Article
Chemistry, Physical
S. Eswari, P. Lakshmanan, S. Thirumaran
Summary: Three new zinc(II) complexes were synthesized and characterized. The crystal structures of two complexes were determined, revealing distorted coordination environments around the Zn(II) ion. The optimized structures of all complexes were obtained using density functional theory. Zinc sulfide nanoparticles were prepared from two complexes and shown to possess wurtzite structure. Photocatalytic activity of the zinc sulfide prepared from one complex was studied, demonstrating high catalytic activity.
JOURNAL OF MOLECULAR STRUCTURE
(2023)
Article
Engineering, Multidisciplinary
Manik Rakhra, Ramandeep Singh, Tarun Kumar Lohani, Mohammad Shabaz
Summary: The incorporation of technology in farming techniques has divided farmers into different camps, with some willing to accept technology while others expressing hesitation and skepticism due to lack of expertise and cost involved. A special Smart Tillage platform has been developed to provide smart-engine based decision-making and deep learning network-powered recommendations to help farmers improve crop yields and scalability.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2021)
Article
Medicine, Legal
Vishal Sharma, Manjot Bains, Rajesh Verma, Neha Verma, Raj Kumar
Summary: This study focuses on using individual characteristics in handwriting to estimate the gender of the writer. Statistical methods were used to analyze the data, and 15 significant characteristics were identified for cost-effective gender estimation. The correct classification rates for females and males were 80% and 76.4% respectively. The likelihood ratio approach was also used to assess the strength of evidence in determining the sex of the unknown person based on these handwriting characteristics.
AUSTRALIAN JOURNAL OF FORENSIC SCIENCES
(2023)
Article
Mathematical & Computational Biology
Sushovan Chaudhury, Manik Rakhra, Naz Memon, Kartik Sau, Melkamu Teshome Ayana
Summary: Breast cancer is a common and life-threatening disease among women. While the exact cause is still under research, there are identifiable risk factors such as age, genetics, obesity, birth control, cigarettes, and tablets. Early detection plays a crucial role in successful treatment, with imaging techniques being key in the identification of breast cancer.
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE
(2021)
Article
Food Science & Technology
Manik Rakhra, Sumaya Sanober, Noorulhasan Naveed Quadri, Neha Verma, Samrat Ray, Evans Asenso
Summary: Agricultural automation reduces farmers' physical labor and debt. However, farmers face challenges in finding tools and equipment, so tool renting and sharing become a solution. The study utilizes machine learning models and finds that the decision tree model has the best impact on farmers.
JOURNAL OF FOOD QUALITY
(2022)
Article
Computer Science, Theory & Methods
Wensheng Yan, Mohammad Shabaz, Manik Rakhra
Summary: This study focuses on nonlinear distortion image recognition technology and proposes an image recognition model based on the BP neural network. Experimental results demonstrate the effectiveness of the model, indicating that the BP network driving the number term can improve the recognition efficiency of the system.
JOURNAL OF INTERCONNECTION NETWORKS
(2022)
Article
Food Science & Technology
Manik Rakhra, Amitabh Bhargava, Deepshikha Bhargava, Ramandeep Singh, Astha Bhanot, Abdul Wahab Rahmani
Summary: Different attitudes towards the use of technology in agriculture exist across countries. In underdeveloped nations, farmers are cautious about trying new technologies. Smart Tillage, an advanced framework utilizing machine learning, provides tool and equipment recommendations for farmers.
JOURNAL OF FOOD QUALITY
(2022)
Article
Food Science & Technology
Arun Malik, Gayatri Vaidya, Vishal Jagota, Sathyapriya Eswaran, Akash Sirohi, Isha Batra, Manik Rakhra, Evans Asenso
Summary: This manuscript investigates the recognition and classification of sunflower diseases using deep learning techniques. It proposes a hybrid model that combines VGG-16 and MobileNet for classification purposes, and uses stacking ensemble learning approach. The study compares the proposed model with existing deep learning models based on accuracy using the same dataset.
JOURNAL OF FOOD QUALITY
(2022)
Article
Nanoscience & Nanotechnology
Neha Verma, Vishal Jagota, Arnold C. Alguno, Alimuddin, Manik Rakhra, Pawan Kumar, Betty Nokobi Dugbakie
Summary: This study presents a method for manufacturing gold-doped zinc oxide nanospheres and investigates the use of zinc oxide nanoparticles as photocatalysts for dye degradation. The research finds that gold-doped zinc oxide nanoparticles are the most effective for this degradation.
JOURNAL OF NANOMATERIALS
(2022)
Article
Nanoscience & Nanotechnology
Neha Verma, Vishal Jagota, Alimuddin, Arnold C. Alguno, Manik Rakhra, K. Chanthirasekaran, Betty Nokobi Dugbakie
Summary: In this study, nanostructured ZnO with wurtzite structure was created using the spin coating approach. The impact of doped and codoped films on structural, optical properties, and morphological was examined. It was found that antimony-doped ZnO has a larger band gap than Al and antimony-codoped ZnO, making it suitable for gas sensors and solar cells.
JOURNAL OF NANOMATERIALS
(2022)
Article
Health Care Sciences & Services
Puneet Thapar, Manik Rakhra, Gerardo Cazzato, Md Shamim Hossain
Summary: This study proposes a reliable method for diagnosing skin cancer using deep learning and swarm intelligence algorithms to segment and classify dermoscopy images. The proposed method shows advantages in multiple performance measures.
JOURNAL OF HEALTHCARE ENGINEERING
(2022)
Article
Biotechnology & Applied Microbiology
G. Murugesan, Tousief Irshad Ahmed, Jyoti Bhola, Mohammad Shabaz, Jimmy Singla, Manik Rakhra, Sujeet More, Issah Abubakari Samori
Summary: Kidney failure occurs when the kidney stops functioning properly, leading to the potential development of chronic kidney disease. Early diagnosis can delay its progression and reduce treatment costs. The use of fuzzy and adaptive neural fuzzy inference systems improves the accuracy of medical diagnostics in determining the stage of chronic renal disease.
BIOMED RESEARCH INTERNATIONAL
(2022)
Article
Engineering, Electrical & Electronic
S. Nonita, Pardayev Abdunabi Xalikovich, C. Ramesh Kumar, Manik Rakhra, Issah Abubakari Samori, Yuselino Maquera Maquera, Jose Luis Arias Gonzales
Summary: This paper introduces a novel implementation of the intelligent water drops (IWD) method for resolving data aggregation issues in heterogeneous wireless sensor networks (WSN). The research demonstrates that by tuning parameters and modifying algorithms, the traffic situations of WSN can be appropriately modified when the aggregating node transmits data to the base station. The proposed improvement, IIWD, takes into consideration the heterogeneity of nodes in practical scenarios, resulting in better accuracy and effectiveness compared to traditional methods in terms of residual energy, dead nodes, payload, and network lifespan.
JOURNAL OF SENSORS
(2022)
Article
Engineering, Multidisciplinary
Youwen Lin, Zhijie Zhang, Vishal Jagota, Manik Rakhra, Bhupesh Kumar Singh
Summary: The application of artificial intelligence technology, particularly LPWAN technology, can enhance the security and efficiency of wireless communication systems, while reducing the frame error rate.
JOURNAL OF ENGINEERING-JOE
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Ahmed Al Ahdal, Deepak Prashar, Manik Rakhra, Ankita Wadhawan
Summary: Heart diseases are one of the leading causes of death globally, with early detection and diagnosis being crucial for effective treatment. Machine learning techniques are being used to predict and detect these diseases accurately, with the goal of improving healthcare outcomes.
2021 INTERNATIONAL CONFERENCE ON COMPUTING SCIENCES (ICCS 2021)
(2021)