Article
Chemistry, Analytical
Yongfeng Mu, Pengfei Jin, Li Zheng, Chao Wang, Yanjie Hou, Weiwei Liu, Liangyou Si, Zhihui Liu
Summary: In this study, the humidity sensing performance of a polyimide capacitive-type relative humidity sensor was enhanced by incorporating modified halloysite nanotubes (HNTs) in the sensing layer. The modified sensor exhibited enhanced sensitivity, low humidity hysteresis, and good linearity, making it promising for humidity measurement.
MICROCHEMICAL JOURNAL
(2023)
Article
Chemistry, Multidisciplinary
Shogo Ikarashi, Hiromu Akai, Hiroki Koiwa, Yukihiro Izawa, Jun Takahashi, Takuya Mabuchi, Kan Shoji
Summary: Synthetic DNA nanopores are being explored as alternatives to traditional biological nanopores in nanopore sensors due to their highly customizable pore structures and functions. Inserting DNA nanopores into planar bilayer lipid membranes (pBLMs) efficiently remains a challenge. This study presents an efficient method for the insertion of DNA nanopores into pBLMs and measurement of their channel currents using a DNA nanopore-tethered gold electrode. The high insertion probability achieved with this method can accelerate the application of DNA nanopores in stochastic nanopore sensors.
Article
Biochemistry & Molecular Biology
Pawel Niedzialkowski, Magdalena Bojko, Jacek Ryl, Anna Wcislo, Marta Spodzieja, Katarzyna Magiera-Mularz, Katarzyna Guzik, Grzegorz Dubin, Tad A. Holak, Tadeusz Ossowski, Sylwia Rodziewicz-Motowidlo
Summary: This study successfully demonstrates the modification of a gold electrode with BMS-8 compound for interaction with PD-L1, and further investigates the selectivity of the electrode for other proteins. The work provides a new approach for electrochemical detection of immune checkpoint proteins.
BIOELECTROCHEMISTRY
(2021)
Article
Chemistry, Analytical
Wei-Jhen Wang, Min-Chuan Chou, Ya-Jane Lee, Wei-Li Hsu, Gou-Jen Wang
Summary: A novel electrochemical immunosensor based on a gold nanoparticle electrode was proposed for accurate detection of NGAL in cat urine samples. The sensing scheme demonstrated a wide detection range and low limit of detection, enabling the differentiation of kidney health status.
Article
Chemistry, Analytical
Araz Norouz Dizaji, Zahraa Ali, Hamed Ghorbanpoor, Yasin Ozturk, Iremnur Akcakoca, Huseyin Avci, Fatma Dogan Guzel
Summary: The study developed an antibiotic-based biosensor platform for specific detection of gram-positive bacteria. The platform demonstrated selectivity and sensitivity towards vancomycin-susceptible bacteria, showing potential for different applications in the future.
Article
Materials Science, Multidisciplinary
Saraswati Dammu, Akhand Pratap Singh, S. Roohan Farooq Lala, Chandan Srivastava
Summary: This research investigated the potential of incorporating carbon nanotubes (CNTs) into metallic tin (Sn) to enhance its corrosion resistance. The study found that there is an optimum CNT concentration that results in high corrosion resistance. These findings contribute to the understanding of utilizing CNTs to improve the performance of metal matrix composites as corrosion-resistant materials.
METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE
(2023)
Article
Engineering, Multidisciplinary
Hui-Ling Peng, Yue-ling Sun, Cheng Bi, Quan-Fu Li
Summary: A flexible dry electrode based on MXene ink and flexible polyimide substrate was developed, which can accurately record biopotential signals such as ECG, EEG, and EOG, and has good flexibility and adaptability.
Article
Engineering, Biomedical
Elissa J. Welle, Joshua E. Woods, Ahmad A. Jiman, Julianna M. Richie, Elizabeth C. Bottorff, Zhonghua Ouyang, John P. Seymour, Paras R. Patel, Tim M. Bruns, Cynthia A. Chestek
Summary: The study introduced a novel and durable carbon fiber electrode array for precise neural recording, showing potential as a bioelectric medicine tool for diagnosis and closed-loop neural control of therapeutic treatments and monitoring systems.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2021)
Article
Biotechnology & Applied Microbiology
Mohaddeseh Vafaiee, Raheleh Mohammadpour, Manouchehr Vossoughi, Elham Asadian, Mahyar Janahmadi, Pezhman Sasanpour
Summary: Carbon nanotubes coatings have shown promising properties for neural interface applications, with advantages such as low impedance, high stability, durability, and scratch resistance. This makes them suitable for long-term use in neural interfaces.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2021)
Article
Chemistry, Multidisciplinary
Aikaterini Gkaravela, Ioanna Vareli, Dimitrios G. Bekas, Nektaria-Marianthi Barkoula, Alkiviadis S. Paipetis
Summary: This study proposes that Electrochemical Impedance Spectroscopy (EIS) can be used to monitor and characterize the dispersion state of carbon nanotubes (CNTs) during sonication. By monitoring the Impedance |Z|, the study confirms that the change in |Z| can indicate the formation or destruction of conductive paths during sonication, providing valuable information for creating an optimum dispersion protocol for conductive CNT suspensions.
Article
Chemistry, Analytical
Je Hyun Bae, Kayeon Kim, Donghoon Han, Taek Dong Chung
Summary: Nanoporous Pt coating enhances the performance of neural electrodes by reducing impedance, improving neural signal recording, and facilitating the efficiency of implanted electronic devices.
Article
Biochemistry & Molecular Biology
Luman Zhang, Xuan Zhang, Jian Wang, David Seveno, Jan Fransaer, Jean-Pierre Locquet, Jin Won Seo
Summary: The study explored the incorporation of MnO2 nanoflakes onto dry-spun CNT fibers, resulting in high specific capacitance and improved electrochemical performance. The wire-shaped supercapacitor composed of CNT-MnO2 fiber electrodes demonstrated high energy density and cycling performance, showing potential for flexible and wearable energy storage devices.
Article
Electrochemistry
Chen You, Arthur Dizon, Ming Gao, Vincent Vivier, Mark E. Orazem
Summary: Impedance spectroscopy measurements are affected by high-frequency phenomena caused by electrode geometry, which can be explained by ohmic impedance. By using regression analysis on experimental results and combining them with a physical description model, we found that the parameters of the ohmic impedance obtained are in good agreement with numerical simulations.
ELECTROCHIMICA ACTA
(2022)
Article
Chemistry, Analytical
Mohammad A. Ahad, Somen Baidya, Md. Nurul Tarek
Summary: Electrical Impedance Myography (EIM) is a noninvasive method for assessing muscle conditions, but its accuracy can be affected by various factors. This study compares the effects of different electrode shapes in EIM experiments and proposes a configuration that is less dependent on factors other than muscle properties. The results show that using circular electrodes instead of conventional ones can reduce the influence of skin-fat thickness on EIM parameters by 31.92%, improving the effectiveness of EIM regardless of muscle shape variation.
Article
Nanoscience & Nanotechnology
Junshi Li, Yundong Ma, Dong Huang, Zhongyan Wang, Zhitong Zhang, Yingjie Ren, Mengyue Hong, Yufeng Chen, Tingyu Li, Xiaoyi Shi, Lu Cao, Jiayan Zhang, Bingli Jiao, Junhua Liu, Hongqiang Sun, Zhihong Li
Summary: The researchers have developed a flexible MNA electrode that can fit a curved body surface, penetrate the skin without fracture, and be mass-produced with a simplified process. The electrode is compatible with wearable wireless systems and has a short preparation time, improving the comfort and convenience of electrophysiological recording.
NANO-MICRO LETTERS
(2022)
Article
Neurosciences
M. Ganesh Kumar, Cheston Tan, Camilo Libedinsky, Shih-Cheng Yen, Andrew Y. Y. Tan
Summary: The study shows that classic agents can learn to navigate to a single reward location and adapt to reward location displacement, but are unable to learn multiple cue-reward location tasks. By improving the agent's architecture and learning methods, this limitation can be overcome.
Article
Clinical Neurology
Konrad Wagstyl, Kirstie Whitaker, Armin Raznahan, Jakob Seidlitz, Petra E. Vertes, Stephen Foldes, Zachary Humphreys, Wenhan Hu, Jiajie Mo, Marcus Likeman, Shirin Davies, Matteo Lenge, Nathan T. Cohen, Yingying Tang, Shan Wang, Mathilde Ripart, Aswin Chari, Martin Tisdall, Nuria Bargallo, Estefania Conde-Blanco, Jose Carlos Pariente, Saul Pascual-Diaz, Ignacio Delgado-Martinez, Carmen Perez-Enriquez, Ilaria Lagorio, Eugenio Abela, Nandini Mullatti, Jonathan O'Muircheartaigh, Katy Vecchiato, Yawu Liu, Maria Caligiuri, Ben Sinclair, Lucy Vivash, Anna Willard, Jothy Kandasamy, Ailsa McLellan, Drahoslav Sokol, Mira Semmelroch, Ane Kloster, Giske Opheim, Clarissa Yasuda, Kai Zhang, Khalid Hamandi, Carmen Barba, Renzo Guerrini, William Davis Gaillard, Xiaozhen You, Irene Wang, Sofia Gonzalez-Ortiz, Mariasavina Severino, Pasquale Striano, Domenico Tortora, Reetta Kalviainen, Antonio Gambardella, Angelo Labate, Patricia Desmond, Elaine Lui, Terry O'Brien, Jay Shetty, Graeme Jackson, John S. Duncan, Gavin P. Winston, Lars Pinborg, Fernando Cendes, Judith Helen Cross, Torsten Baldeweg, Sophie Adler
Summary: The study revealed that FCDs are unevenly distributed across the cerebral cortex and different lesion locations have significant impact on surgical outcomes. Lesions in the temporal and occipital lobes tend to be larger than frontal lobe lesions, leading to varying rates of seizure freedom post surgery.
Article
Engineering, Biomedical
Bohan Shi, Arthur Tay, Wang Lok Au, Dawn M. L. Tan, Nicole S. Y. Chia, Shih-Cheng Yen
Summary: Parkinson's disease is a chronic neurodegenerative disorder that often leads to freezing of gait, a disabling symptom that significantly affects patients' quality of life. This study investigated the use of time-frequency domain and convolutional neural networks to detect freezing of gait in PD patients. The results showed that the proposed model achieved high accuracy in detecting freezing episodes.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2022)
Article
Engineering, Civil
Manuel Seet, Jonathan Harvy, Rohit Bose, Andrei Dragomir, Anastasios Bezerianos, Nitish Thakor
Summary: The study found that trust levels significantly decreased in subjects during malfunctions in full automation driving mode of autonomous vehicles, while it remained stable in conditional automation driving mode. EEG analysis revealed enhanced approach motivation and disrupted executive cognition during malfunctions in full automation mode, with no neurocognitive disruptions observed in conditional automation mode malfunctions.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Biomedical
Agata Blasiak, Kian Ann Ng, Marshal Dian Sheng Wong, Chne-Wuen Tsai, Astrid Rusly, Gil Gerald Lasam Gammad, Kai Voges, Camilo Libedinsky, Shih Cheng Yen, Nitish Thakor, Amitabha Lahiri
Summary: This study aimed to develop a stable peripheral neural interface (PNI) for neuro-prosthetic applications. By utilizing fibro-axonal outgrowth and fibrosis, the researchers fabricated a novel PNI and demonstrated its functionality and stability through experiments.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2022)
Article
Psychology, Clinical
Victor Perez, Gloria Villalba-Martinez, Matilde Elices, Rosa Maria Manero, Purificacion Salgado, Jose Maria Gines, Rocio Guardiola, Carlos Cedron, Maria Polo, Ignacio Delgado-Martinez, Gerardo Conesa, Santiago Medrano, Maria J. Portella
Summary: Deep brain stimulation (DBS) may be an effective treatment for severe anorexia nervosa (AN), with potential improvements in quality of life, cognitive flexibility, and depressive symptoms. These preliminary findings suggest the potential use of DBS in the treatment of AN, but further research is needed to determine its effects on cognitive functions.
EUROPEAN EATING DISORDERS REVIEW
(2022)
Article
Clinical Neurology
Hannah Spitzer, Mathilde Ripart, Kirstie Whitaker, Felice D'Arco, Kshitij Mankad, Andrew A. Chen, Antonio Napolitano, Luca De Palma, Alessandro De Benedictis, Stephen Foldes, Zachary Humphreys, Kai Zhang, Wenhan Hu, Jiajie Mo, Marcus Likeman, Shirin Davies, Christopher Guttler, Matteo Lenge, Nathan T. Cohen, Yingying Tang, Shan Wang, Aswin Chari, Martin Tisdall, Nuria Bargallo, Estefania Conde-Blanco, Jose Carlos Pariente, Saul Pascual-Diaz, Ignacio Delgado-Martinez, Carmen Perez-Enriquez, Ilaria Lagorio, Eugenio Abela, Nandini Mullatti, Jonathan O'Muircheartaigh, Katy Vecchiato, Yawu Liu, Maria Eugenia Caligiuri, Ben Sinclair, Lucy Vivash, Anna Willard, Jothy Kandasamy, Ailsa McLellan, Drahoslav Sokol, Mira Semmelroch, Ane G. Kloster, Giske Opheim, Leticia Ribeiro, Clarissa Yasuda, Camilla Rossi-Espagnet, Khalid Hamandi, Anna Tietze, Carmen Barba, Renzo Guerrini, William Davis Gaillard, Xiaozhen You, Irene Wang, Sofia Gonzalez-Ortiz, Mariasavina Severino, Pasquale Striano, Domenico Tortora, Reetta Kalviainen, Antonio Gambardella, Angelo Labate, Patricia Desmond, Elaine Lui, Terence O'Brien, Jay Shetty, Graeme Jackson, John S. Duncan, Gavin P. Winston, Lars H. Pinborg, Fernando Cendes, Fabian J. Theis, Russell T. Shinohara, J. Helen Cross, Torsten Baldeweg, Sophie Adler, Konrad Wagstyl
Summary: One of the challenges in applying machine learning to diagnostic biomedical imaging is the interpretability of algorithms. This study developed an open-source and interpretable machine-learning algorithm to automatically identify FCDs from structural MRI data, improving the confidence of physicians in identifying subtle MRI lesions in individuals with epilepsy.
Article
Engineering, Biomedical
Ryan G. L. Koh, Jose Zariffa, Leen Jabban, Shih-Cheng Yen, Nick Donaldson, Benjamin W. Metcalfe
Summary: The nervous system enables the regulation of the body and its interactions with the environment through conscious and automatic processes. The peripheral nervous system is an ideal target for technologies aiming to modulate, restore or enhance these abilities. This tutorial provides guidance and introduces a taxonomy for researchers studying peripheral nerve interfaces and signal processing techniques.
JOURNAL OF NEURAL ENGINEERING
(2022)
Article
Engineering, Electrical & Electronic
Ehsan Rahiminejad, Adel Parvizi-Fard, Mahmood Amiri, Nitish Thakor
Summary: In this research, a novel neuromorphic circuit was designed to simulate the functional model of nociceptors using TSMC 180 nm CMOS technology. The circuit includes three spiking neurons to determine the pressure level and active area of stimuli and improve discrimination. Numerical simulations and robotic experiments were conducted to evaluate the circuit's performance, showing that stimuli can be recognized after a few spikes. This study expands the range of object recognition and advances the development of novel tactile sensory systems.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2023)
Article
Computer Science, Artificial Intelligence
Xianliang Ge, Yunxian Pan, Sujie Wang, Linze Qian, Jingjia Yuan, Jie Xu, Nitish Thakor, Yu Sun
Summary: This study introduces an eye-brain hybrid brain-computer interface (BCI) interaction system for intention detection, using the fusion of multimodal eye-tracker and event-related potential (ERP) features. The system achieved superior performance in the single-trial classification of active search tasks. The results support the real-life application of hands-free human-computer interaction in a more precise and stable manner.
IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS
(2023)
Article
Cell Biology
Estefania Contreras, Sara Traserra, Sara Bolivar, Joaquim Fores, Eduard Jose-Cunilleras, Felix Garcia, Ignacio Delgado-Martinez, Sandra Holmgren, Raimund Strehl, Esther Udina, Xavier Navarro
Summary: Decellularized nerve allografts are a viable option for repairing severe peripheral nerve injuries, as shown by successful regeneration in sheep nerves.
Article
Robotics
Fengyi Wang, J. Rogelio Guadarrama Olvera, Nitish Thakor, Gordon Cheng
Summary: In this paper, a method for implementing the heat-evoked nociceptive withdrawal reflex (NWR) in a humanoid robot is presented to avoid potential damage caused by noxious heat. A spiking neural network is used to mimic the reflex arc in humans, improving bio-plausibility. Proper synaptic strengths are learned using a bio-plausible reward-modulated spike timing-dependent plasticity learning algorithm. The method enables robots to robustly avoid potential damage and reproduce essential features of the NWR.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2023)
Article
Cell Biology
Tsung-Jung Ho, Debakshee Goswami, Wei-Wen Kuo, Chia-Hua Kuo, Shih Cheng Yen, Pi-Yu Lin, Shinn-Zong Lin, Dennis Jine-Yuan Hsieh, Marthandam Asokan Shibu, Chih-Yang Huang
Summary: Aging is associated with functional loss of cellular pathways, increasing the risk of age-related complications. Artemisia argyi water extract (AAW) has been found to have anti-aging effects, protecting cells from premature aging and improving cardiac function, grip strength, and memory in aging animals.
Article
Clinical Neurology
Vuong M. Pham, Nitish Thakor
Summary: The study established an in vitro model of diabetic neuropathy and found that insulin can improve neurite extension and myelination, suggesting its potential as a candidate for improving diabetic neuropathy.
KOREAN JOURNAL OF PAIN
(2022)
Article
Chemistry, Analytical
Mengmeng Guo, Na Luo, Yueling Bai, Zhenggang Xue, Qingmin Hu, Jiaqiang Xu
Summary: A porous heterostructure WO3-C/In2O3 was designed and prepared for a miniature H2 sensor, which showed higher response value, lower operating temperature, fast response-recovery speed, and low limit of detection.
SENSORS AND ACTUATORS B-CHEMICAL
(2024)
Article
Chemistry, Analytical
Feng Hu, Hui Hu, Yuting Li, Xiaohui Wang, Xiaowen Shi
Summary: Arsenic contamination in water bodies is a significant health risk. This study developed a chitosan-catechol modified electrode for rapid and accurate detection of trace amounts of arsenic. The modified electrode demonstrated good detection capability and resistance to ionic interference, making it suitable for in situ detection.
SENSORS AND ACTUATORS B-CHEMICAL
(2024)
Article
Chemistry, Analytical
Yantao Zhang, Qian Liu, Tao Tian, Chunhua Xu, Pengli Yang, Lianju Ma, Yi Hou, Hui Zhou, Yongjun Gan
Summary: In this study, a lysosome-targeting buffering fluorogenic probe (Lyso-BFP) was designed and synthesized, demonstrating excellent photostability, pH specificity, and responsiveness to lysosomal acidification in living cells. The performance of Lyso-BFP in pH sensing was attributed to the inhibition of the photo-induced electron transfer process. Lyso-BFP allowed for wash-free imaging and long-term real-time monitoring of lysosome pH changes based on its off-on fluorescence behavior and buffer strategy.
SENSORS AND ACTUATORS B-CHEMICAL
(2024)
Article
Chemistry, Analytical
Wei Cai, Wenbo Sun, Jiayue Wang, Xiaokui Huo, Xudong Cao, Xiangge Tian, Xiaochi Ma, Lei Feng
Summary: In this study, a near-infrared fluorescent probe HCBG was developed for imaging of alpha-GLC. HCBG exhibited excellent selectivity and sensitivity towards alpha-GLC in complex bio-samples, and showed good cell permeability for in situ real-time imaging. Through the high-throughput screening system established by HCBG, a natural alpha-GLC inhibitor was successfully isolated and identified. This study provides a novel fluorescence visualization tool for discovering and exploring the biological functions of diabetes-related gut microbiota, and a high-throughput screening approach for alpha-GLC inhibitor.
SENSORS AND ACTUATORS B-CHEMICAL
(2024)
Article
Chemistry, Analytical
Trey W. Pittman, Xi Zhang, Chamindie Punyadeera, Charles S. Henry
Summary: Heart failure is a growing epidemic and a significant clinical and public health problem. Researchers have developed a portable and affordable diagnostic device for heart failure that can be used at the point-of-care, providing a valid alternative to current diagnostics approaches.
SENSORS AND ACTUATORS B-CHEMICAL
(2024)
Article
Chemistry, Analytical
Anders O. Tjell, Barbara Jud, Roland Schaller-Ammann, Torsten Mayr
Summary: An optical hydrogen peroxide sensor based on catalytic degradation and the detection of produced oxygen is presented. The sensor offers higher resolution and better sensitivity at lower H2O2 concentrations. By removing O2 from the sample solution, a more sensitive O2 sensor can be used for measurement. The sensor has been successfully applied in a flow-through cell to measure H2O2 concentration in different flow rates.
SENSORS AND ACTUATORS B-CHEMICAL
(2024)
Article
Chemistry, Analytical
Seong Jae Kim, Ji-hun Jeong, Gaabhin Ryu, Yoon Sick Eom, Sanha Kim
Summary: Surface-enhanced Raman spectroscopy (SERS) is a high-sensitivity, label-free detection method with various analytical applications. Researchers have developed a hydrophobic SERS substrate based on engineered carbon nanotube arrays (CNT-SERS) and studied the role of structural design at both micro and nanoscales. The substrate demonstrated controlled self-enrichment capability and enhanced sensitivity, with a significant increase in the SERS signal. The study also proposed a theoretical model and a concentration strategy inspired by plants for analyte deposition on microarrays.
SENSORS AND ACTUATORS B-CHEMICAL
(2024)
Article
Chemistry, Analytical
Dan Zhao, Renjun Jiang, Xiaoqiang Liu, Subbiah Alwarappan
Summary: In this study, a novel ternary composite material was constructed by assembling cerium vanadate nanorods on reduced graphene oxide-microcrystalline cellulose nanosheets, and it was used for real-time monitoring of the concentration of superoxide anions in vivo. The ternary composite showed excellent conductivity, large surface area, and abundant active sites, leading to a wider linear range, high sensitivity, low detection limit, and fast response time for superoxide anion detection.
SENSORS AND ACTUATORS B-CHEMICAL
(2024)
Article
Chemistry, Analytical
Tengfei Wang, Liwen Wang, Guang Wu, Dating Tian
Summary: In this study, a covalent organic framework material TaTp-COF with porous and uniform spheres was successfully prepared via hydrothermal reaction, and it was found to significantly enhance the aggregation-induced emission (AIE) of berberine. The unique emission properties of berberine on TaTp-COF were studied and utilized for the sensitive detection of berberine.
SENSORS AND ACTUATORS B-CHEMICAL
(2024)
Article
Chemistry, Analytical
Lin Li, Yilei Ding, Lei Xu, Shuoran Chen, Guoliang Dai, Pengju Han, Lixin Lu, Changqing Ye, Yanlin Song
Summary: In this study, a novel TTI based on a ratiometric fluorescent nanosensor is designed, which has the advantages of high accuracy and low cost. Experimental and theoretical investigations confirm its pH responsiveness and demonstrate its good sensitivity and reliability. By monitoring the total volatile basic nitrogen, this TTI can accurately predict food spoilage and can be adaptively modified for different types of food. The TTI based on this nanosensor enables visual monitoring of food quality.
SENSORS AND ACTUATORS B-CHEMICAL
(2024)
Article
Chemistry, Analytical
Fangju Chen, Xueting Wang, Wei Chen, Chenwen Shao, Yong Qian
Summary: Lung cancer is the second most common malignant tumor worldwide. Drug resistance in lung cancer leads to treatment failure and recurrence in majority of patients. This study developed a fluorescent prodrug that can be activated in cancer cells to release drugs, and its signal can be tracked by imaging. It shows a unique autophagy-driven ferroptosis effect, indicating its potential for targeting drug-resistant cancer cells.
SENSORS AND ACTUATORS B-CHEMICAL
(2024)
Article
Chemistry, Analytical
Weichao Li, Qiming Yuan, Zhangcheng Xia, Xiaoxue Ma, Lifang He, Ling Jin, Xiangfeng Chu, Kui Zhang
Summary: This study developed a high-performance gas sensor for formaldehyde detection by modifying ZnSnO3 with ZnO QDs and SnO2 QDs. The modified sensor showed improved sensing response and lower working temperature. The presence of ZnO QDs formed rich heterojunctions, increased surface area, and provided oxygen deficiency for formaldehyde sensing reaction, thus enhancing the sensor performance. This research provides an alternative method to enhance the sensing properties of MOS by QDs modification.
SENSORS AND ACTUATORS B-CHEMICAL
(2024)
Article
Chemistry, Analytical
Joung-Il Moon, Eun Jung Choi, Younju Joung, Jin-Woo Oh, Sang-Woo Joo, Jaebum Choo
Summary: A novel nanoplasmonic substrate was developed for biomedical applications, which showed strong hot spots for detecting biomarkers at low concentrations. The substrate, called AuNPs@M13, was made by immobilizing 60 nm gold nanoparticles onto the surface of an M13 bacteriophage scaffold. It demonstrated higher sensitivity and lower limit of detection compared to commercially available assays.
SENSORS AND ACTUATORS B-CHEMICAL
(2024)
Article
Chemistry, Analytical
Ning Li, Ya Zhang, Ying Xu, Xiaofang Liu, Jian Chen, Mei Yang, Changjun Hou, Danqun Huo
Summary: The molecular subtype of breast cancer guides treatment and drug selection. Invasive tests can promote cancer cell metastasis, so the development of high-performance, low-cost diagnostic tools for cancer prognosis is crucial. Liquid biopsy techniques enable noninvasive, real-time, dynamic, multicomponent, quantitative, and long-term observations at the cellular, genetic, and molecular levels. A Cu-Zr metal-organic framework (MOF) nanoenzyme with monatomic Cu attachment has been synthesized and proven to have high catalytic performance. The sensor constructed using this nanoenzyme shows potential for accurate classification of breast cancer serum samples.
SENSORS AND ACTUATORS B-CHEMICAL
(2024)
Article
Chemistry, Analytical
Jeongmin Kim, Hyemin Kim, Seunghyun Park, Hyeonaug Hong, Yong Jae Kim, Jiyong Lee, Jaeho Kim, Seung-Woo Cho, Wonhyoung Ryu
Summary: This study presents a method to fabricate independently functioning microneedle (MN) electrodes with narrow intervals for high precision electrochemical sensing. The optimized mixture of photocurable polymer and single-wall carbon nanotubes was used to mold single composite MNs, which were then attached to pre-patterned electrodes. Plasma etching and electropolymerization were performed to enhance the electrochemical activity, and Prussian blue and glucose oxidase were electrodeposited on the MNs for glucose detection. The MN electrodes showed good sensitivity and linearity, and the feasibility of glucose detection was demonstrated in an in vivo mouse study.
SENSORS AND ACTUATORS B-CHEMICAL
(2024)