Article
Optics
Yong -Mei Li, Hai -Ling Liu, Shi-Jie Pan, Su-Juan Qin, Fei Gao, Dong-Xu Sun, Qiao-Yan Wen
Summary: This paper proposes a complete quantum algorithm for the k-medoids algorithm, which utilizes quantum subroutines to improve the speed of cluster assignment and center update. Compared to existing algorithms, our quantum k-medoids algorithm achieves a polynomial speedup in large data sets.
Review
Engineering, Mechanical
Randall J. Allemang, Rohit S. Patwardhan, Murali M. Kolluri, Allyn W. Phillips
Summary: This paper outlines various FRF estimation techniques and compares algorithms that compute FRF using different methods. It also discusses inconsistencies in some conditioned coherence metrics and provides corrected interpretations.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Mathematics, Applied
Baolei Wei, Naiming Xie
Summary: This study investigates the parameter estimation of grey system models from noisy observations, and finds that nonlinear least squares has multiple advantages over the conventional integral matching method in terms of accuracy and robustness.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2021)
Article
Engineering, Multidisciplinary
Baolei Wei
Summary: Parameter estimation is a crucial step in grey system models for time series modeling and forecasting. This study presents a separable grey system model that encompasses both linear and nonlinear models with separable structural parameters. Three least squares-based strategies are proposed for estimating structural parameters and initial conditions. Nonlinear least squares outperforms the other two strategies, especially in scenarios with large time intervals and high noise levels. Real-world applications demonstrate the effectiveness of the proposed method in forecasting failure times of products and traffic flows.
APPLIED MATHEMATICAL MODELLING
(2023)
Article
Nuclear Science & Technology
Qian Wang, Xin-Liang Yan, Xiang-Cheng Chen, Peng Shuai, Meng Wang, Yu-Hu Zhang
Summary: This study proposes a new method for assigning weights based on the Bayesian rule, which performs well in extracting baselines from spectra with different curvatures. The method proves to be more accurate and reliable with a smaller error range in experiments. It can also be applied to various spectrum-related experiments.
NUCLEAR SCIENCE AND TECHNIQUES
(2022)
Article
Plant Sciences
Jingang Wang, Tian Tian, Haijiang Wang, Jing Cui, Xiaoyan Shi, Jianghui Song, Tiansheng Li, Weidi Li, Mingtao Zhong, Wenxu Zhang
Summary: Soil salinization poses a challenge to crop production in arid areas, but spectral analysis and remote sensing technology can assist in assessing the impact of salinity stress on crop photosynthesis.
FRONTIERS IN PLANT SCIENCE
(2023)
Article
Automation & Control Systems
Huafeng Xia, Zhengle Wu, Sheng Xu, Lijuan Liu, Yang Li, Yin Zhou
Summary: This article focuses on the identification problem of nonlinear systems with missing data. To overcome the unavailability of system outputs, an auxiliary model-based interval-varying recursive identification method is derived by changing the sampling interval and substituting the missing output with the output of an auxiliary model. A maximum likelihood-based interval-varying recursive least-squares method is investigated based on the maximum likelihood principle and the least-squares method. The validity of the proposed maximum likelihood method is tested through numerical simulation and a practical continuous stirred tank reactor (CSTR) process.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Mathematics, Applied
Feng Ding
Summary: Least squares is an important method used for solving linear fitting and quadratic optimization problems. This paper explores the properties of least squares methods and multi-innovation least squares methods, and demonstrates important contributions in the area of system identification such as auxiliary model identification, multi-innovation identification theory, hierarchical identification principle, coupling identification concept, and filtering identification idea. The results of least squares and multi-innovation least squares algorithms for linear regressive systems with white noises can be extended to systems with colored noises.
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
(2023)
Article
Operations Research & Management Science
E. G. Birgin, J. M. Martinez
Summary: This paper proposes a general framework for solving nonlinear least squares problems without the use of derivatives, and introduces two dimension-reduction procedures. The practical motivation of this work is to estimate parameters in hydraulic models for dam breaking problems.
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS
(2022)
Article
Computer Science, Interdisciplinary Applications
Anwesh Reddy Gottu Mukkula, Michal Mateas, Miroslav Fikar, Radoslav Paulen
Summary: The study focuses on robust model-based design of experiments in the context of maximum-likelihood estimation, utilizing a multi-stage robust optimization approach to address parametric uncertainties in experiment design. The findings suggest that conducting experiments in multiple stages can improve effectiveness when parameter knowledge is limited.
COMPUTERS & CHEMICAL ENGINEERING
(2021)
Article
Thermodynamics
Thomas Pierre, Jean-Claude Krapez, Helcio R. B. Orlande, Christophe Rodiet, Dylan Le Maux, Mickael Courtois, Philippe Le Masson, Bernard Lamien
Summary: This article presents temperature and emissivity estimation of metals around their melting points using different techniques, including deterministic and Bayesian approaches. Linear and non-linear models are examined, with experimental data consisting of radiative fluxes at six wavelengths. Tests are performed on niobium and steel samples at high temperatures.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2022)
Article
Engineering, Electrical & Electronic
Atul Singh, S. K. Parida
Summary: A novel algorithm is proposed to enhance the accuracy of the nonlinear least error squares method without imposing any computational burden, achieving successful measurement of synchrophasors. The algorithm has been demonstrated in various tests according to synchrophasor standards and implemented for real-time measurement on FPGA platform.
ELECTRIC POWER SYSTEMS RESEARCH
(2021)
Article
Mathematics, Applied
Qiaohua Liu, Chuge Li, Yimin Wei
Summary: This paper discusses the multidimensional mixed least squares-total least squares (MTLS) problem in the context of regression models, signal processing, and space coordinate transformation. It proves that the MTLS problem is equivalent to a weighted total least squares problem in the limit sense, and provides perturbation analysis and explicit condition number formulae for the MTLS problem. Tight and computable upper bounds for the condition numbers are also given. The numerical experiments demonstrate the tightness of the condition numbers and upper bounds in evaluating the forward errors.
APPLIED NUMERICAL MATHEMATICS
(2022)
Article
Computer Science, Information Systems
Fei Yan, Mingyuan Zhang, Guoxiang Gu
Summary: This paper studies an adaptive control method for nonlinear systems with unknown and uncertain parameters. The proposed method estimates the system parameters adaptively, stabilizes the closed-loop system, and achieves asymptotic control over a given bounded set of the state-space. Reconstruction filters are designed to obtain error residue signals and enable parameter estimation using the least-squares algorithm. The proposed method is applicable to both full actuation and under actuation control systems, and its effectiveness is validated through simulation experiments.
SCIENCE CHINA-INFORMATION SCIENCES
(2023)
Article
Engineering, Aerospace
Ahmad Bani Younes, Mohammad Alhulayil, James D. Turner, Ahmed M. Atallah
Summary: This paper presents a high-order nonlinear least-squares method for solving the 6-DOF navigation problem of satellite maneuvers. The approach utilizes first through fourth-order Taylor series models and iterative adjustments to recover unknown roots and reduce fitting errors. The method involves an initial guess for the unknown parameters, Taylor expansion for developing correction vectors, and manipulation of necessary conditions for the least-squares algorithm. Experimental work on a 6-DOF platform demonstrates accelerated convergence with various initial guess conditions for second-, third-, and fourth-order expansions.
JOURNAL OF THE ASTRONAUTICAL SCIENCES
(2023)
Article
Nanoscience & Nanotechnology
Xaver Lamprecht, Florian Speck, Philipp Marzak, Serhiy Cherevko, Aliaksandr S. Bandarenka
Summary: Aqueous sodium-ion batteries based on Prussian Blue Analogues (PBA) have the potential to be scalable energy storage systems. This study investigates the degradation processes in PBA electrodes during charge-discharge cycles. It finds that the dissolution of nickel and cobalt is the main cause of degradation, and the nature of the anions in the electrolyte affects the degradation rate, with perchlorate being the most unstable and sulfate the most stable. The study proposes that the dissolution process is initiated by the adsorption of anions during electrode oxidation.
ACS APPLIED MATERIALS & INTERFACES
(2022)
Review
Electrochemistry
Soumya Mukherjee, Shujin Hou, Sebastian A. Watzele, Batyr Garlyyev, Weijin Li, Aliaksandr S. Bandarenka, Roland A. Fischer
Summary: Taking into account the United Nations Sustainable Development Goal 7 on affordable and clean energy, metal-organic frameworks (MOFs) and derived materials have attracted research interest in electrocatalysis. This review summarizes recent advances in MOF-based electrocatalysts exclusively prepared through indirect post-treatments.
Article
Chemistry, Physical
Elena Gubanova, Thorsten O. Schmidt, Sebastian Watzele, Vitaly Alexandrov, Aliaksandr S. Bandarenka
Summary: This work reports on the double-layer capacitances of different crystal planes of Pd electrodes in aqueous HClO(4) electrolytes. The CDL values estimated at the minima of the capacitance vs. electrode potential curves are found to be correlated with the adsorption energies of water molecules and the coordination of electrode surface atoms. These findings are important for developing simple descriptors of the electrical double layer and for high-throughput screening of various electrode/electrolyte interfaces.
JOURNAL OF PHYSICAL CHEMISTRY C
(2022)
Article
Chemistry, Physical
Leon Katzenmeier, Manuel Goesswein, Alessio Gagliardi, Aliaksandr S. Bandarenka
Summary: The space-charge layer (SCL) phenomenon in Li+-ion-conducting solid-state electrolytes (SSEs) is of great interest in solid-state ionics. SCLs not only affect charge-transfer resistance in all-solid-state batteries, but also have similarities with electronic counterparts in semiconductors and can be used for Li+-ionic devices. However, due to their elusive nature and lack of physical, chemical, and electrochemical parameters, fully characterizing these layers is challenging. In this work, kinetic Monte Carlo (kMC) simulations are used to model the spatial extent of SCLs, demonstrating the predictive power of the kMC model.
JOURNAL OF PHYSICAL CHEMISTRY C
(2022)
Article
Chemistry, Physical
Xaver Lamprecht, Iman Evazzade, Iago Ungerer, Ludek Hromadko, Jan M. Macak, Aliaksandr S. Bandarenka, Vitaly Alexandrov
Summary: In this study, the degradation mechanisms of a model Na2Ni[Fe(CN)6] functional electrode in aqueous electrolytes are elucidated through density functional theory calculations and experiments. Besides solution pH and cation concentration, anion adsorption is identified as the main driving force for electrode dissolution. The nature of adsorbed anions can control the mass and charge transfer mechanisms during metal cation intercalation as well as the electrode degradation rate. The findings of this study provide practical guidelines for electrolyte optimization and can be extrapolated to the entire family of PBAs operating in aqueous media.
JOURNAL OF PHYSICAL CHEMISTRY C
(2023)
Article
Energy & Fuels
Kun-Ting Song, Christian M. Schott, Peter M. Schneider, Sebastian A. Watzele, Regina M. Kluge, Elena L. Gubanova, Aliaksandr S. Bandarenka
Summary: In this work, the hydrogen evolution reaction (HER) catalyzed by polycrystalline Pt (Pt(pc)) and Pt5Gd disc electrodes was studied, and they were characterized using rotating disc electrode (RDE) and electrochemical impedance spectroscopy techniques simultaneously. Pt5Gd exhibited higher HER activities than Pt in acidic and alkaline media due to strain and ligand effects. The mechanistic study revealed that the Volmer-Tafel pathway dominated the HER in the Pd/C nanostructured catalysts.
JOURNAL OF PHYSICS-ENERGY
(2023)
Article
Chemistry, Physical
Mohammad R. Nouri, Regina M. Kluge, Richard W. Haid, Jill Fortmann, Alfred Ludwig, Aliaksandr S. Bandarenka, Vitaly Alexandrov
Summary: A study shows that tunneling current fluctuations in electrochemical scanning tunneling microscopy (EC-STM) can map the electrocatalytic activity of surfaces with high spatial resolution. By using electron transport calculations, the study examines tunneling at Pt surfaces under the conditions of the oxygen reduction reaction. The results suggest that detecting reaction intermediates at electrified interfaces in operando conditions is possible based on tunneling noise amplitudes.
JOURNAL OF PHYSICAL CHEMISTRY C
(2023)
Article
Chemistry, Applied
Thorsten O. O. Schmidt, Richard W. W. Haid, Elena L. L. Gubanova, Regina M. M. Kluge, Aliaksandr S. S. Bandarenka
Summary: To advance the design of electrocatalytically active catalysts, understanding the nature of active sites is crucial. The complexity of factors such as material composition, site coordination, electrolyte effects, and the support material makes the identification of active sites challenging. In-situ experiments, such as electrochemical scanning tunneling microscopy (EC-STM), play a significant role in identifying active centers while the reaction takes place. This technique has been successfully used to determine active sites on palladium (Pd) surfaces under strain effects and on graphite-based surfaces considering the effects of coordination.
TOPICS IN CATALYSIS
(2023)
Article
Chemistry, Multidisciplinary
Leon Katzenmeier, Manuel Goesswein, Leif Carstensen, Johannes Sterzinger, Michael Ederer, Peter Mueller-Buschbaum, Alessio Gagliardi, Aliaksandr S. Bandarenka
Summary: The interface between metallic lithium and solid-state electrolytes is investigated to understand the charge and mass transport mechanisms and the underlying mechanisms of charge accumulation. This is crucial for developing high-performance solid-state batteries.
COMMUNICATIONS CHEMISTRY
(2023)
Article
Chemistry, Physical
Thorsten O. Schmidt, Andre Wark, Richard W. Haid, Regina M. Kluge, Shinya Suzuki, Kazuhide Kamiya, Aliaksandr S. Bandarenka, Jun Maruyama, Egill Skulason
Summary: This study successfully mimics the water oxidation reaction of Photosystem II by developing manganese oxide nanosheets as affordable and abundant electrocatalysts. Detailed investigation reveals that the detected activity at the nanosheet edges is crucial for the enhanced performance of the catalyst.
ADVANCED ENERGY MATERIALS
(2023)
Article
Electrochemistry
Goektug Yesilbas, Chun-Yu Chou, Aliaksandr S. Bandarenka
Summary: This article presents a physical impedance model that accurately describes the impedance spectra of graphite electrodes in a coin-cell assembly. The model parameters are analyzed to verify its effectiveness. Additionally, the authors propose using double layer capacitance values to determine if the normalized values align with expectations.
Article
Chemistry, Physical
Mohammad R. Nouri, Regina M. Kluge, Richard W. Haid, Jill Fortmann, Alfred Ludwig, Aliaksandr S. Bandarenka, Vitaly Alexandrov
Summary: Recently, it has been proposed that tunneling current fluctuations in electrochemical scanning tunneling microscopy can be used to map the electrocatalytic activity of surfaces with high spatial resolution. This study investigates tunneling at Pt surfaces during the oxygen reduction reaction and reveals that the tunneling barrier is influenced by the chemical identity of adsorbed reaction intermediates and the orientation of water species' dipole moment. Theoretical results combined with EC-STM measurements suggest that detecting reaction intermediates at electrified interfaces is possible based on tunneling noise amplitudes, and this study aims to stimulate further explorations of tunneling-based electron-proton transfers for quantum electrocatalysis.
JOURNAL OF PHYSICAL CHEMISTRY C
(2023)
Article
Chemistry, Physical
Xaver Lamprecht, Iman Evazzade, Iago Ungerer, Ludek Hromadko, Jan M. Macak, Aliaksandr S. Bandarenka, Vitaly Alexandrov
Summary: In this study, the mechanism of degradation of model Na2Ni[Fe(CN)(6)] functional electrodes in aqueous electrolytes was investigated using density functional theory calculations and experiments. It was found that anion adsorption plays a significant role in electrode dissolution, with weakly adsorbing anions impeding degradation and strongly adsorbing anions accelerating it.
JOURNAL OF PHYSICAL CHEMISTRY C
(2023)
Review
Chemistry, Physical
Haiting Yu, Christian Schott, Thorsten Schmidt, Peter M. Schneider, Kun-Ting Song, Qiwei Zhang, Andrea Capogrosso, Lewin Deville, Elena Gubanova, Aliaksandr S. Bandarenka
Summary: Electrocatalysis plays a crucial role in transitioning to a renewable energy society. In this manuscript, the recent progress in the observation of active sites in various electrocatalysts and reactions is analyzed using operando microscopies. These techniques allow for real-time identification and comprehensive observation of electrocatalytic behavior, providing insights into reaction steps and correlating activity with catalyst properties.
CURRENT OPINION IN ELECTROCHEMISTRY
(2023)
Article
Chemistry, Physical
Leon Katzenmeier, Manuel Goesswein, Alessio Gagliardi, Aliaksandr S. Bandarenka
Summary: This paper investigates the space-charge layer phenomenon in Li+-ion-conducting solid-state electrolytes using kinetic Monte Carlo simulations. The study demonstrates the predictive power of the model and the significance of considering space-charge layer growth in electrochemical and ionic devices.
JOURNAL OF PHYSICAL CHEMISTRY C
(2022)
Article
Chemistry, Analytical
Yujia Ying, Huilin Li
Summary: Enzymes play a crucial role as biological catalysts in accelerating biochemical reactions in living organisms. This study proposes a convenient method for monitoring enzymatic catalytic processes using native top-down mass spectrometry. By exploring the heterogeneity of the chymotrypsin sample and using tandem mass spectrometry, the researchers were able to monitor covalent and noncovalent enzymatic complexes, substrates, and products during catalysis. The results demonstrate that this method has the potential to be a promising tool for characterizing biocatalysts.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Kang Yang, Shuaibo Shi, Jinyu Wu, Shaolong Han, Shengdi Tai, Shishen Zhang, Kun Zhang
Summary: H2O and D2O are important analogues closely related to various industries and monitoring fields. This study successfully distinguishes and detects H2O and D2O by designing a novel eu(III)-macrocycle with dual emitters, Eu-2a, and conducting fluorescence titration experiments.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Julia Kuligowski, Alvaro Perez-Rubio, Marta Moreno-Torres, Polina Soluyanova, Judith Perez-Rojas, Ivan Rienda, David Perez-Guaita, Eugenia Pareja, Ramon Trullenque-Juan, Jose Castell, Marcha Verheijen, Florian Caiment, Ramiro Jover, Guillermo Quintas
Summary: This study introduces a novel variable selection approach called cluster PLS (c-PLS) to assess the joint impact of variable groups selected based on biological characteristics on the predictive performance of a multivariate model. The usefulness of c-PLS is shown using miRNomic and metabolomic datasets obtained from the analysis of liver tissue biopsies.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Meixue Lai, Lijie Zhong, Siyi Liu, Yitian Tang, Tingting Han, Huali Deng, Yu Bao, Yingming Ma, Wei Wang, Li Niu, Shiyu Gan
Summary: This study presents a method for constructing wearable sweat electrolyte sensors using carbon fiber-based solid-contact ion-selective electrodes (SC-ISEs). By using carbon fibers extracted from commercial cloth as electrode material, the cost and reproducibility issues of flexible SC-ISEs were addressed. The results showed that the carbon fiber-based SC-ISEs exhibited reversible voltammetric and stable impedance performances, and had high reproducibility of standard potentials between normal and bending states.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Ke Yang, Ying Liu, Min Deng, Peipei Wang, Dan Cheng, Songjiao Li, Longwei He
Summary: A near-infrared fluorescent probe has been developed to accurately measure the levels of peroxynitrite (ONOO-) in the endoplasmic reticulum (ER) in acute lung injury (ALI). The probe demonstrated rapid response, high selectivity, good sensitivity, and enhanced fluorescence intensity in response to ONOO-. It was successfully used to detect changes in ONOO- levels and showed significant increases in an ALI cell model and an ALI mouse model.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Yanping Wang, Yuemei Chen, Kejun Li, Jinrong Zhou, Xin Yuan, Mei Zhang, Ke Huang
Summary: In this work, a portable analytical system based on point discharge chemical vapor generation atomic emission spectrometry (PD-CVG-AES) coupling with gold filament enrichment was designed. The highly sensitive analysis of Hg2+ indirectly realized the detection of ascorbic acid (AA). The measurement is based on the fact that Ag+ can decrease the concentration of Hg2+ by forming Ag-Hg amalgam in the presence of the reductant SnCl2, while AA can pre-reduce Ag+ to Ag0, leading to the generation of silver nanoparticles (Ag NPs). The developed novel analytical strategy broadens the application of microplasma-based AES and offers a higher level of sensitivity compared to current AA detection techniques.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Yundi Huang, Bo Song, Kaiwen Chen, Deshu Kong, Jingli Yuan
Summary: This study developed two lysosome-targetable background-free TGL probes for efficient and accurate detection of 1O2, which can be used for monitoring endogenous 1O2 concentrations in lysosomes and discriminating variability induced by different photosensitizers. Furthermore, a smart luminescent sensor film was successfully prepared for on-site 1O2 production detection during PDT processes, offering a promising clinical monitoring tool for skin diseases.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Wei Lang, Jia-Mei Qin, Qian-Yong Cao
Summary: A novel polymer-based probe P1 was successfully synthesized for fluorescently ratiometric sensing of H2S with high selectivity and sensitivity. A smartphone sensing platform was constructed to conduct visual quantitative detection of H2S. P1 can be employed in evaluating the level fluctuations of H2S in living cells, testing water samples/wine samples, and monitoring food freshness.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Yuanyuan Qin, Shuda Liu, Shuyun Meng, Dong Liu, Tianyan You
Summary: The study developed a split aptamer-based sandwich-type ratiometric biosensor for the detection of 17 beta-estradiol (E2) using photoelectrochemical and electrochemical assays. The biosensor utilized split aptamer fragments to recognize E2 and trigger a hybridization chain reaction, resulting in the production of double-stranded DNA labeled with CdTe quantum dots. This DNA complex was able to sensitize CdTe quantum dots and generate response signals for E2 detection. The developed biosensor demonstrated high sensitivity and accuracy with two linear ranges and low detection limits.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Siriwan Teepoo, Jongjit Jantra, Khaunnapa Panapong, David Taiwo Ajayi
Summary: A novel immunochromatographic assay based on hyperbranched Au plasmonic blackbodies with a smartphone readout was developed for rapid and sensitive detection of leucomalachite green residues in fish and shrimp products.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Andrea L. Larraga-Urdaz, Borja Moreira-Alvarez, Jorge Ruiz Encinar, Jose M. Costa-Fernandez, Maria Luisa Fernandez-Sanchez
Summary: A major challenge in the 21st century is the development of point-of-care diagnostic tools. In this study, a highly sensitive and simple bioassay using AuNPs and MNAzymes was developed for rapid detection and quantification of miRNA-4739. The proposed strategy shows potential for breast cancer diagnosis.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Xiaohan Zhao, Anyu Wang, Lingzi Zhai, Jiuhe Gao, Sizhe Lyu, Yingshan Jiang, Tian Zhong, Ying Xiao, Xi Yu
Summary: A novel method using polystyrene-coated magnetic nanoparticles for extracting monohydroxy polycyclic aromatic hydrocarbons from urine samples was investigated. The proposed method is simple, sensitive, and efficient, with desirable sensitivity for analyzing low-abundance metabolites in large volumes of complex urine samples.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Ke Quan, Yuqing Zeng, Wenke Zhang, Fengfeng Li, Mengjiao Li, Zhihe Qing, Linlin Wu
Summary: In this study, a visual and reusable biosensor was developed for detecting substrates that are closely associated with human physiological health. The immobilized oxidase showed higher stability and sensitivity under harsh conditions, enabling reliable detection of substrates in complex fluids.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Dongjuan Wang, Xiuqian Ding, Jinling Xie, Juan Wang, Guanhao Li, Xin Zhou
Summary: In this study, a three-in-one sensor was developed for real-time detection of biogenic amines (BAs) with high sensitivity and selectivity. The sensor showed multimodal responses and could be used to fabricate portable devices for on-site non-destructive assessment of food spoilage indicators.
ANALYTICA CHIMICA ACTA
(2024)
Article
Chemistry, Analytical
Jinting Meng, Zihao Xu, Shasha Zheng, Hongqun Yang, Tianfu Wang, Hong Wang, Yingwei Zhang
Summary: This study demonstrates the development of a cascade signal amplification system using a multi-pedal DNA walker and strand displacement reactions for the electrochemical detection of miRNA-155. The biosensor exhibited high sensitivity, selectivity, and the potential for clinical applications.
ANALYTICA CHIMICA ACTA
(2024)