Article
Chemistry, Analytical
Neelakandan Subramani, Prakash Mohan, Youseef Alotaibi, Saleh Alghamdi, Osamah Ibrahim Khalaf
Summary: In recent years, the underwater wireless sensor network (UWSN) has gained significant attention for various applications. Energy efficiency is a major challenge for UWSN due to restricted sensor energy and the difficulty of recharging or replacing batteries. This study focuses on designing a metaheuristics-based clustering and routing protocol called MCR-UWSN, which addresses the issues of underwater current, low bandwidth, high water pressure, propagation delay, and error probability. By utilizing cultural emperor penguin optimizer-based clustering (CEPOC) and grasshopper optimization (MHR-GOA) for routing, the MCR-UWSN technique demonstrates improved performance compared to existing techniques.
Article
Thermodynamics
A. S. Warke, K. Ramesh, F. Mebarek-Oudina, A. Abidi
Summary: This study investigates the two-dimensional magnetohydrodynamic flow of a viscous magnetomicropolar liquid through an extending area, considering the impact of various parameters on velocity. It reveals that velocity is influenced by different liquid types.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2022)
Review
Chemistry, Analytical
Sirong Li, Yihong Zhang, Quan Wang, Anqi Lin, Hui Wei
ANALYTICAL CHEMISTRY
(2022)
Article
Chemistry, Analytical
Dongyue Wang, Dongzhi Zhang, Qian Mi
Summary: This paper reports a benzene sensor based on Pd-doped CoTiO3/TiO2 nanocomposite, with improved gas sensing performance. The sensor demonstrated remarkable benzene sensing properties, attributed to the formation of CoTiO3/TiO2 p-n heterojunction and catalytic action of Pd. The unique advantage of Pd-CTT nanocomposite for benzene sensing was highlighted in this work.
SENSORS AND ACTUATORS B-CHEMICAL
(2022)
Article
Biochemical Research Methods
Sarah Battat, David A. Weitz, George M. Whitesides
Summary: This article discusses how the field of microfluidics can increase its impact by improving technologies and enabling new functionalities, focusing on applications in diagnostics, food safety, and materials production. The article identifies technical challenges, including simplifying sample preparation procedures, finding materials for microfluidic device production, and automating the operation of microfluidic devices.
Article
Chemistry, Analytical
Prakash Mohan, Neelakandan Subramani, Youseef Alotaibi, Saleh Alghamdi, Osamah Ibrahim Khalaf, Sakthi Ulaganathan
Summary: This study introduces an improved metaheuristics-based clustering with multihop routing protocol for underwater wireless sensor networks (UWSNs), aiming to improve the energy efficiency and lifetime of UWSNs. The IMCMR-UWSN technique utilizes the chaotic krill head algorithm for clustering and self-adaptive glow worm swarm optimization algorithm for multihop routing, showing superior performance in terms of energy efficiency.
Article
Chemistry, Analytical
Mahboob Nemati, Mustafa Tuzen, Mir Ali Farazajdeh, Savas Kaya, Mohammad Reza Afshar Mogaddam
Summary: An effective extraction procedure based on dispersive solid phase extraction was developed for the extraction of different pesticides from milk samples. The method showed wide linear ranges, low limits of detection and quantification, and good method validation results. The developed method was successfully applied to the determination of pesticides in real milk samples.
ANALYTICA CHIMICA ACTA
(2022)
Article
Chemistry, Analytical
Adarsh Vulli, Parvathaneni Naga Srinivasu, Madipally Sai Krishna Sashank, Jana Shafi, Jaeyoung Choi, Muhammad Fazal Ijaz
Summary: This study introduces a new method for automated diagnosis and detection of metastases in breast cancer using the Fast AI framework and the 1-cycle policy, and compares it with previous methods. The proposed model has achieved an accuracy of over 97.4% and surpasses other state-of-the-art methods. Additionally, a mobile application has been developed for prompt diagnosis of metastases in early-stage cancer.
Article
Chemistry, Analytical
Ali Azari, Ramin Nabizadeh, Amir Hossein Mahvi, Simin Nasseri
Summary: In this study, the removal of dye ADMI from raw textile wastewater was investigated using magnetic multi-walled carbon nanotubes-loaded alginate. The key factors, including pH, adsorbent dose, and contact time, were optimized using response surface methodology-based central composite face-centred design. The adsorbents were characterized using various techniques. The developed model fit well with the experimental data, and under the optimized conditions, a high removal efficiency and ADMI adsorption capacity were achieved. The adsorption process was found to be monolayer and chemical in nature. The adsorption mechanism could be explained by the presence of negatively charged carboxyl and hydroxyl groups on the surface of the adsorbent.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL ANALYTICAL CHEMISTRY
(2023)
Article
Thermodynamics
K. Venkata Ramana, K. Gangadhar, T. Kannan, Ali J. Chamkha
Summary: This study analyzed the hydromagnetic transverse flow of an Oldroyd-B-type liquid with variable thickness using the Cattaneo-Christov model, considering additional impacts of thermal conductivity and heat generation, and numerical solutions were obtained using the Runge-Kutta-Fehlberg method. The physical response related to velocity and temperature was investigated, showing that the momentum boundary-layer thickness affects the magnetic field strength and thermal boundary layer in opposite ways, while retardation and relaxation time effects have opposite impacts on the temperature field. The results are valuable for understanding transport phenomena involving hydromagnetic rheological fluids.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2022)
Article
Biophysics
Subbiah Alwarappan, Noel Nesakumar, Dali Sun, Tony Y. Hu, Chen-Zhong Li
Summary: MXenes, as a type of two-dimensional layered material, has attracted great attention due to its interesting properties. This review covers the synthesis routes, surface functionalization, and modification strategies of MXenes, as well as the development of gas, electrochemical, and optical biosensors based on MXenes.
BIOSENSORS & BIOELECTRONICS
(2022)
Article
Chemistry, Analytical
Mahmoud Shams, Nahid Nezhad, Aliakbar Dehghan, Hossein Alidadi, Maryam Paydar, Ali Akbar Mohammadi, Ahmad Zarei
Summary: Contamination of surface and groundwater resources with heavy metals due to mining activities poses a major health risk to local residents worldwide. This research in Sabzevar, Iran, measured the concentrations of As, Cd, and Cr in water samples from rural areas near mines and assessed potential health risks. The concentrations of As and Cr in drinking water exceeded WHO guidelines, while Cd levels were within acceptable range. Hazard index values were all above one in all villages, with higher values for children. The total cancer risk from metals exceeded USEPA limits for both children and adults. The findings of this study are important for managing water resources in rural areas and other mining regions.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL ANALYTICAL CHEMISTRY
(2022)
Article
Chemistry, Analytical
Guangli Li, Xiaoman Qi, Guanqiao Zhang, Shuolong Wang, Kanghua Li, Jingtao Wu, Xuan Wan, Ying Liu, Qing Li
Summary: A cost-effective voltammetric sensor was designed using Fe2O3/Bi2O3 nanocomposites for the simultaneous determination of toxic heavy metal ions Cd(II) and Pb(II). The sensor showed wide dynamic range, excellent selectivity, and stability.
MICROCHEMICAL JOURNAL
(2022)
Review
Chemistry, Analytical
Shibo Zhang, Yaxuan Li, Shen Zhang, Farzad Shahabi, Stephen Xia, Yu Deng, Nabil Alshurafa
Summary: The development of mobile and wearable devices has enabled various applications that measure and improve our daily lives, such as activity tracking, wellness monitoring, and human-computer interaction. Many of these applications rely on low-power sensors in these devices to perform human activity recognition (HAR). In recent years, deep learning has made significant advancements in HAR on mobile and wearable devices. This paper categorizes and summarizes existing work on deep learning methods for wearables-based HAR, and provides an analysis of the current advancements, developing trends, and major challenges. The paper also presents cutting-edge frontiers and future directions for deep learning-based HAR.
Article
Chemistry, Analytical
Ruijin Zeng, Minghao Qiu, Qing Wan, Zhisheng Huang, Xiaolong Liu, Dianping Tang, Dietmar Knopp
Summary: A smartphone-based electrochemical immunoassay is developed for rapid and low-cost detection of SARS-CoV-2 nucleocapsid protein. The method utilizes gold nanoparticles and antibodies on a carbon electrode, and the electron transfer disturbance is used to reduce the voltammetry currents. The assay demonstrates good linear range, low detection limit, and the results can be transmitted and displayed on a smartphone, offering convenience for virus transmission control and screening in resource-limited areas.
ANALYTICAL CHEMISTRY
(2022)
Article
Chemistry, Analytical
Seyed Yaser Hashemi, Mojtaba Yegane Badi, Hasan Pasalari, Ali Azari, Hossein Arfaeinia, Amin Kiani
Summary: This study developed a method to catalytically oxidize and degrade Ceftriaxone (CTX) from aqueous solution using the heterogeneous system O-3/UV/Fe3O4@TiO(2). Through optimization of operational parameters, high removal efficiency of CTX and reduction of total organic carbon (TOC) were achieved. The reuse potential of Fe3O4@TiO2 was proven with high removal efficiency of CTX and TOC after six consecutive catalyst uses. OH degrees played a major role in the photocatalytic degradation of CTX. Integration of O-3/UV/Fe3O4@TiO(2) demonstrated excellent CTX removal performance and can be considered a promising technique for decontamination of polluted waters.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL ANALYTICAL CHEMISTRY
(2022)
Review
Chemistry, Analytical
Sema Demirci-Cekic, Gulay Ozkan, Asli Neslihan Avan, Seda Uzunboy, Esra Capanoglu, Resat Apak
Summary: Reactive oxygen and nitrogen species produced during normal metabolism in the human body play important roles in signal transmission and the immune system, but an imbalance between oxidants and antioxidants can lead to oxidative stress and diseases. Maintaining a balanced antioxidant defense system is crucial for overall health and disease prevention.
JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS
(2022)
Article
Biophysics
Juan Carlos Abrego-Martinez, Maziar Jafari, Siham Chergui, Catalin Pavel, Diping Che, Mohamed Siaj
Summary: Quick and accurate diagnosis of the COVID-19 is crucial in stopping the spread of the virus. The development of an aptamer-based biosensor on a screen-printed carbon electrode platform shows promise in providing rapid and sensitive detection of SARS-CoV-2, offering a potential solution to the current challenges in COVID-19 diagnosis.
BIOSENSORS & BIOELECTRONICS
(2022)
Article
Chemistry, Analytical
Narges Marjani, Maryam Dareini, Maryam Asadzade-Lotfabad, Mahtab Pejhan, Parisa Mokaberi, Zeinab Amiri-Tehranizadeh, Mohammad Reza Saberi, Jamshidkhan Chamani
Summary: This study investigated the interaction between PPF and calf thymus DNA (ct DNA) in the absence or presence of histone H1 using multiple spectroscopic techniques. PPF showed high binding affinity towards ct DNA in binary and ternary systems, with intercalation binding mode suggested by fluorescence quenching data and thermodynamic parameters. MD simulation suggested that PPF as an intercalating agent can distort the DNA structure.
Article
Chemistry, Analytical
Ruijin Zeng, Minghao Qiu, Qing Wan, Zhisheng Huang, Xiaolong Liu, Dianping Tang, Dietmar Knopp
Summary: This study presents a smartphone-based electrochemical immunoassay that is ultrasensitive for rapid, low-cost, and easy detection of the SARS-CoV-2 nucleocapsid protein. The method utilizes the interaction between gold nanoparticles on the electrode surface and antibodies to detect the presence of the protein. Additionally, the method allows for wireless data transmission and calculation of results using a smartphone, making it convenient and efficient.
ANALYTICAL CHEMISTRY
(2022)
