Article
Agriculture, Multidisciplinary
Raul Gonzalez-Dominguez, Ana Sayago, Maria Santos-Martin, Angeles Fernandez-Recamales
Summary: This study describes the optimization and validation of a high-throughput and robust metabolomics method based on liquid chromatography for the identification and quantification of phenolic compounds and related metabolites. The method was successfully validated and applied to characterize phenolic fingerprints in food and biological samples.
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
(2022)
Article
Medical Laboratory Technology
Yuta Yokoyama, Eiji Nozawa, Miho Morita, Emi Ishikawa, Takehiko Mori, Masatoshi Sakurai, Taku Kikuchi, Eri Matsuki, Rie Yamazaki, Keisuke Kataoka, Aya Jibiki, Hitoshi Kawazoe, Sayo Suzuki, Tomonori Nakamura
Summary: We have developed an efficient HPLC method using a photodiode array (PDA) detector to simultaneously quantify the four TKIs in the serum of CML patients. This method can improve the efficiency of therapeutic drug monitoring in clinical practice for CML patients.
JOURNAL OF CLINICAL LABORATORY ANALYSIS
(2022)
Article
Food Science & Technology
Lixia Xie, Zhineng Li, Haitao Li, Jiayu Sun, Xueying Liu, Jianxin Tang, Xizhu Lin, Laijun Xu, Yuefang Zhu, Zhi Liu, Tong Wang
Summary: Rosemary is an important source of natural antioxidants. This study developed a chemometrics-enhanced analytical method for simultaneous determination of phenolic antioxidants in ultrasound-assisted rosemary extracts, providing valuable references for quality control.
FOOD ANALYTICAL METHODS
(2023)
Article
Chemistry, Applied
Min Li, Qiuli Pan, Jun Wang, Zhouping Wang, Chifang Peng
Summary: In this study, a sensor array composed of three nanocomposite complexes was constructed to detect multiple residues of structurally similar pyrethroid pesticides. Through multivariate pattern recognition analysis, the array demonstrated high-throughput identification of the pesticides in unknown samples and accurately predicted their concentrations using a stepwise prediction strategy combined with machine learning methods.
Article
Biochemistry & Molecular Biology
Sujatha Kandasamy, Jayeon Yoo, Jeonghee Yun, Han Byul Kang, Kuk-Hwan Seol, Jun-Sang Ham
Summary: This study evaluated the safety and risk assessment of cheese consumption in the Republic of Korea by analyzing the biogenic amine contents in sixty cheese samples. The findings showed that fresh cheeses had lower levels of BA compared to ripened samples, with some imported ripened cheeses exceeding the tolerable limits of toxic amines such as histamine and tyramine. Strict hygienic practices and monitoring of BA levels in cheeses are crucial to ensure consumer safety.
Article
Biochemical Research Methods
Ning Zhang, Chao Yue, Junping Liu, Xiaobo Zhan, Zhi Cheng, Chao Li, Yaohua Du, Feng Tian
Summary: This paper describes a simple, reliable, and flexible method for fabricating planar monolayer microreactor arrays (PMMRAs) in a 96-well plate. The partitioned droplets spontaneously assemble into PMMRAs in the plates, and this distribution is maintained even after incubation. The proposed approach provides a flexible and controllable execution scheme for droplet-based nucleic acid quantification in resource-limited laboratories.
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
(2023)
Article
Biochemical Research Methods
Anusha Priyadarshani Silva Hettiyadura, Alexander Laskin
Summary: This tutorial article provides a comprehensive evaluation of the quantitative analysis of 16 priority pollutant PAHs using the LC-MS platform coupled with the ESI source. Results are further corroborated by the quantitation experiments using an atmospheric pressure photoionization (APPI) method. The basic concepts and step-by-step practical guidance for the PAHs quantitative characterization are offered based on the systematic experiments.
JOURNAL OF MASS SPECTROMETRY
(2022)
Article
Archaeology
Umair Shafqat Malik, Laura Loredana Micoli, Giandomenico Caruso, Gabriele Guidi
Summary: Analyzing the effectiveness of a digital museum application is complex due to the interaction between the limited narration paths of the digital tool and the multifaceted reactions of human beings influenced by cultural, psychological, and emotional elements. This paper proposes a novel approach that integrates qualitative interviews with quantitative analysis of user keystrokes to provide a more transparent assessment of the user's learning experience and identify the least effective sections of the application, thus improving the design of digital museum applications.
JOURNAL OF CULTURAL HERITAGE
(2023)
Article
Multidisciplinary Sciences
Aleksandr L. Kim, Egor Musin, Alexey Dubrovskii, Sergey A. Tikhonenko
Summary: Sodium dodecyl sulfate (SDS) is widely used as an anionic surfactant, but its frequent use leads to environmental pollution and negative effects on living organisms. Therefore, there is a need for cheap and fast detection methods for SDS in wastewater and surface waters. It has been discovered that SDS can destroy polyelectrolyte microcapsules, leading to the proposal of using these microcapsules to create qualitative and quantitative diagnostic systems for SDS determination. The systems involve fluorescence intensity measurement and turbidimetry, and can detect SDS concentrations in the range of 10 to 50 μg/mL.
SCIENTIFIC REPORTS
(2022)
Article
Chemistry, Analytical
Na Du, Manling Chen, Yunmiao Cui, Xue Liu, Yang Li
Summary: The carbon nanodot sensor array can accurately identify and quantitatively analyze multiple organic acids in urine samples with high selectivity and sensitivity. It can achieve the quantitative analysis of single organic acid systems or dual organic acid systems, making it an effective method for OA analysis.
SENSORS AND ACTUATORS B-CHEMICAL
(2022)
Article
Engineering, Civil
Yunhan Zhang, Ke Chen
Summary: A digital-enabled safety management approach is increasingly crucial for crane operations. This paper provides a comprehensive overview of digital technologies for enhancing crane safety, drawing insights from articles published between 2008 and 2021. The literature analysis reveals notable advancements in digital-enabled crane safety management, but these achievements remain largely confined to the experimentation stage. A framework is proposed to facilitate the practical implementation of digital-enabled crane safety management, and recommendations for future research directions are presented. This comprehensive review offers valuable guidance for ensuring safe crane operations in the construction industry.
JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT
(2023)
Article
Chemistry, Multidisciplinary
Aboli Girme, Ganesh Saste, Sandeep Pawar, Chetana Ghule, Amit Mirgal, Saurabh Patel, Anshuly Tiwari, Sautik Ghoshal, Sandip B. Bharate, Sonali S. Bharate, D. Srinivasa Reddy, Ram A. Vishwakarma, Lal Hingorani
Summary: The study simultaneously determined and analyzed apocarotenoids and flavonoids in stigma-based botanical supplements, revealing their medicinal value and health benefits for human consumption.
Article
Chemistry, Analytical
Min Li, Dayuan Wang, Chifang Peng, Zhouping Wang
Summary: A two-element based array (Al3+-CD@Cu and Mg2+-CD@Cu) was constructed for simultaneous identification of multiple flavonols by significant fluorescence emission enhancement. The sensor array successfully classified multiple flavonols in the samples using the SVM classification algorithm.
SENSORS AND ACTUATORS B-CHEMICAL
(2023)
Article
Chemistry, Analytical
Lucia Abad-Gil, Sergio Lucas-Sanchez, M. Jesus Gismera, M. Teresa Sevilla, Jesus R. Procopio
Summary: A high-performance liquid chromatography (HPLC) method with two in-line detectors was developed for the detection and quantification of preservatives in personal care products. The method successfully analyzed various types of personal care products containing common preservatives.
MICROCHEMICAL JOURNAL
(2021)
Article
Computer Science, Artificial Intelligence
Chenbin Ma, Peng Zhang, Longsheng Pan, Xuemei Li, Chunyu Yin, Ailing Li, Rui Zong, Zhengbo Zhang
Summary: In this paper, a novel Transformer deep-learning model is proposed for sequence learning of electronic handwriting to aid the diagnosis of tremor symptoms, achieving excellent performance.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Chemistry, Physical
Min Zhu, Hai Ping Shao, Hong Lin Zhai, Yajie Meng, Ruirui Liu, Cuiling Ren
Summary: This study evaluated the application of ReNPs as a drug delivery platform using molecular dynamics simulation, and investigated the mechanism of drug release. The results showed that ReNPs platform has good biocompatibility and stability, making it suitable for the delivery of HSP90 inhibitors.
JOURNAL OF MOLECULAR LIQUIDS
(2022)
Article
Pharmacology & Pharmacy
Shao Hua Lu, Ming Cai Zhang, Hong Lin Zhai, Ke Xin Bi, Bing Qiang Zhao
Summary: The study established linear quantitative models for eight active components in Chinese patent medicine using Tchebichef moments, with higher correlation coefficients of prediction and satisfactory spiked recovery rates. The TM models were found to be more accurate and reliable compared to N-PLS and MCR-ALS models, indicating the outstanding advantages of chemometrics approach for complex signal identification and rapid quality control analysis in production.
JOURNAL OF PHARMACEUTICAL INNOVATION
(2022)
Article
Chemistry, Analytical
Shengda Qi, Huanhuan Zheng, Haitham Saad Almashriqi, Wenjuan Lv, Honglin Zhai
Summary: A new method using gold nanoclusters as a probe has been developed for the determination of human serum albumin (HSA). The fluorescence of AuNCs was significantly enhanced in the presence of HSA through fluorescence resonance energy transfer. The method showed a low limit of detection and a wide linear range, and was successfully applied to recognize and quantify HSA in serum samples.
JOURNAL OF ANALYTICAL CHEMISTRY
(2022)
Article
Chemistry, Analytical
Shengda Qi, Haitham Saad Al-mashriqi, Abdulwahab Salah, Honglin Zhai
Summary: In this study, a novel method for detecting transferrin based on GSH-AuNCs was developed for the first time, showing high selectivity and sensitivity. The proposed method has been successfully applied for the determination of transferrin in rat serum samples.
MICROCHEMICAL JOURNAL
(2022)
Article
Oncology
Zheng Lian, Yunheng Tai, Huanling Xia, Honglin Zhai
Summary: In this study, a nonlinear quantitative structure-activity relationship (QSAR) model was established using gene expression programming (GEP) to predict the activity of novel DNA-targeted chemotherapeutic agents. Three descriptors were selected from the descriptor pool and used to build a multiple linear regression model. The best nonlinear QSAR model showed good stability and predictive ability, with correlation coefficients of 0.89 and 0.82 for the training and test sets, and mean errors of 0.02 and 0.06. The molecular docking experiment identified compound 7A as having reliable docking ability. The established model provides insights for the design of effective DNA-targeting drugs for osteosarcoma.
ANTI-CANCER AGENTS IN MEDICINAL CHEMISTRY
(2023)
Article
Pharmacology & Pharmacy
Yongjian Chen, Kang Ma, Hongzong Si, Yunbo Duan, Honglin Zhai
Summary: In this study, network pharmacology and molecular docking methods were used to investigate the mechanism of action and compound interactions in Baohewan Heshiwei Wen Dan Tang (BHWDT) for treating autism spectrum disorder (ASD). The results revealed that the main active components of BHWDT could interact with key targets of ASD, suggesting a high effectiveness of BHWDT in treating ASD.
CURRENT PHARMACEUTICAL DESIGN
(2022)
Article
Biochemistry & Molecular Biology
Yongjian Chen, Kang Ma, Peilong Xu, Hongzong Si, Yunbo Duan, Honglin Zhai
Summary: The purpose of this study was to develop a predictive model for the pro-social and pro-cognitive effects of azinesulfonamides of cyclic amine derivatives as potential antipsychotics. Through comparative molecular similarity indices analysis (CoMSIA), a 3D-QSAR study was conducted on a series of these derivatives. The best statistical model was obtained and new structures were designed based on the model contour maps and the highest activity structure. The docking results demonstrated a strong binding of the selected compound with the protein. The contour map analysis of the QSAR model can provide guidelines for discovering novel potential antipsychotics.
Article
Spectroscopy
Ke Xin Bi, Ling Zhu, Hong Lin Zhai, Bing Qiang Zhao, Hai Ping Shao
Summary: A simple and effective approach based on UV-vis spectrophotometry for the rapid determination of trace homogeneous catalyst (THC) was proposed in this study. By combining wavelet transform and Tchebichef curve moment methods with gray wolf algorithm, feature information was extracted from the original UV-vis spectra of samples and a partial least-squares model was established. The results showed that the obtained model was satisfactory and could be used in practical measurement, providing a feasible new pathway for enterprise product quality control.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2022)
Article
Biochemistry & Molecular Biology
Hai Ping Shao, Tian Hua Wang, Hong Lin Zhai, Ke Xin Bi, Bing Qiang Zhao
Summary: In this study, the interaction mechanisms of two representative peptide inhibitors (11a and PF-07321332) with SARS-CoV-2 main protease (Mpro) were investigated for the first time using molecular dynamics simulation. Fragment-based drug design method was then employed to select fragments from existing SARS-CoV and SARS-CoV-2 inhibitors to replace the original P2 and P3 fragments, resulting in new molecules. Molecular docking, molecular dynamics simulation, and ADMET properties prediction confirmed the excellent activity and physicochemical properties of two molecules (O-74 and N-98), suggesting their potential as new inhibitors for SARS-CoV-2 main protease.
CHEMICO-BIOLOGICAL INTERACTIONS
(2023)
Article
Computer Science, Interdisciplinary Applications
Bingqiang Zhao, Honglin Zhai, Haiping Shao, Kexin Bi, Ling Zhu
Summary: The study investigates the application of vibrational spectroscopy and machine learning for the initial screening of COVID-19 patients. A hybrid classification model called grey wolf optimized support vector machine (GWO-SVM) is proposed and compared with other machine learning models. The results demonstrate that the GWO-SVM model shows superior accuracy and specificity for COVID-19 screening, indicating its potential for clinical use.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2023)
Article
Biochemical Research Methods
Haitham Saad Al-mashriqi, Muzi Cai, Shengda Qi, Honglin Zhai
Summary: This research proposes a sample and environmentally sustainable technique for synthesizing bovine serum albumin capped gold nanoclusters (BSA-AuNCs) with outstanding fluorescence. The BSA-AuNCs are combined with Cu2+ to produce a fluorescent switch probe (BSA-AuNCs-Cu2+) for histidine determination, demonstrating good selectivity, high efficiency, and the avoiding of chemical solvents. The designed BSA-AuNCs-Cu2+ fluorescent probe shows a linear detection range of 0 to 240 mu M under optimum conditions and has potential applicability for histidine detection.
JOURNAL OF FLUORESCENCE
(2023)
Correction
Biochemical Research Methods
Haitham Saad Al-mashriqi, Muzi Cai, Shengda Qi, Honglin Zhai
JOURNAL OF FLUORESCENCE
(2023)
Article
Biochemistry & Molecular Biology
Rui Rui Liu, Hong Lin Zhai, Min Zhu, Hai Ping Shao, Tian Hua Wang
Summary: This study investigated the interaction mechanism between alpha-synuclein and n-myristyltrimethylammonium bromide (MTAB) gold nanoparticles (AuNPs) of different diameters. The results showed a directional interaction between them, with electrostatic and hydrophobic interactions playing important roles. The study provided a theoretical foundation for biomolecules adsorbed on the surface of biofunctional nanoparticles and suggested that 5-MTAB AuNPs could be a potential inhibitor against alpha-syn protein aggregation.
JOURNAL OF MOLECULAR MODELING
(2023)
Article
Pharmacology & Pharmacy
Zheng Lian, Chenglin Sang, Nianhu Li, Honglin Zhai, Wenzhe Bai
Summary: In this study, two reliable QSAR models were constructed to predict the activity of quinazoline compounds and design new compounds based on the main influencing factors identified in the models. The non-linear model constructed by the GEP algorithm performed better than the linear model constructed by the heuristic method. A 3D-QSAR model with high Q(2) and R(2) values and low error values was obtained, indicating its stability and strong predictive power. The designed compounds showed good target binding capability, with compound 19g.10 exhibiting the best activity.
FRONTIERS IN PHARMACOLOGY
(2023)
Article
Chemistry, Physical
Rui Rui Liu, Hong Lin Zhai, Hai Ping Shao, Tian Hua Wang
Summary: This study reveals that black phosphorus nanosheets (BP) can effectively inhibit the binding of S protein and ACE2, providing a potential drug carrier to enhance the curative effect of inhibitors against SARS-CoV-2 infection. Additionally, it presents a novel interference mechanism for protein-protein interactions caused by nanomaterials.
PHYSICAL CHEMISTRY CHEMICAL PHYSICS
(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)
