Article
Engineering, Environmental
L. Szydlowski, J. Ehlich, I. Goryanin, G. Pasternak
Summary: The study compared the electroactive capabilities of microbial communities from four mine drainages using a newly designed 96-well-plate array of microbial fuel cells. It demonstrated that the 96-well MFC array is a suitable platform for high-throughput screening, selection, and enrichment of electroactive consortia. Environmental conditions and physical and chemical parameters were found to be crucial for developing an efficient electroactive community.
CHEMICAL ENGINEERING JOURNAL
(2022)
Review
Psychology, Multidisciplinary
Ana Carolina Paludo, Armin Paravlic, Kristyna Dvorakova, Marta Gimunova
Summary: This article investigated the effects of menstrual cycle phases on perceptual responses in athletes through systematic review and meta-analysis. The results showed that different menstrual cycle phases can affect certain perceptual responses in athletes, particularly when there is an increase in ovarian hormone concentration levels.
FRONTIERS IN PSYCHOLOGY
(2022)
Review
Cardiac & Cardiovascular Systems
Tingyu Huang, Fiona M. Howse, Nina S. Stachenfeld, Charlotte W. Usselman
Summary: Even in the 21st century, female participants are underrepresented in human physiology research due to the perception that including them is more time consuming, less convenient, and more expensive. However, considering the importance of gonadal hormone fluctuations in governing vascular function and the potential misinterpretation of cardiovascular biomarkers, it is necessary for cardiovascular researchers to include females and accurately track their hormone changes. Saliva-derived measures of gonadal hormones provide a simple and noninvasive method for monitoring, which may facilitate the inclusion of females in cardiovascular research studies.
AMERICAN JOURNAL OF PHYSIOLOGY-HEART AND CIRCULATORY PHYSIOLOGY
(2023)
Article
Biochemical Research Methods
Yuqing Zhang, Yunpeng Xie, Wangjie Lv, Chunxiu Hu, Tianrun Xu, Xinyu Liu, Rongfeng Zhang, Guowang Xu, Yunlong Xia, Xinjie Zhao
Summary: A successful untargeted lipidomics method was developed with high throughput pretreatment and ultra-high performance liquid chromatography coupled to mass spectrometry, suitable for large-scale sample handling and plasma lipid analysis. The method was validated to be reliable and capable of detecting abnormal plasma lipidome related to atrial fibrillation.
JOURNAL OF CHROMATOGRAPHY A
(2021)
Article
Physiology
Marcus S. Dasa, Morten Kristoffersen, Elisabeth Ersvaer, Lars Peder Bovim, Lise Bjorkhaug, Rolf Moe-Nilssen, Jorn V. Sagen, Inger Haukenes
Summary: The study found that the menstrual cycle does not alter acute strength and power performance on a group level in high level female team athletes.
FRONTIERS IN PHYSIOLOGY
(2021)
Article
Biochemistry & Molecular Biology
Marie-Pierre Chapuis, Laure Benoit, Maxime Galan
Summary: Obtaining high-quality nucleic acids is crucial for studying bacterial communities associated with animal hosts. This study compared five DNA extraction protocols for animal samples using different methods, including mechanical or enzymatic lysis. The results showed that none of the methods fully eliminated bias, but one method with enzymatic lysis had lower bias. Standardization of DNA extraction is important for comparing microbiome results across different samples.
MOLECULAR ECOLOGY RESOURCES
(2023)
Article
Polymer Science
Malene Moller Jorgensen, Jenni Kathrine Sloth, Rikke Baek
Summary: The study on extracellular vesicles (EVs) emphasizes the importance of optimization experiments when characterizing EVs in a clinical setting. Factors such as storage conditions and additives have a significant impact on the results of EV Array analysis.
Article
Biochemistry & Molecular Biology
Ajna Hamidovic, John Davis, Fatimata Soumare, Avisek Datta, Aamina Naveed
Summary: This study examined the variations of allopregnanolone, a neuroactive steroid, and its ratio to progesterone across different subphases of the menstrual cycle. The findings showed that allopregnanolone levels were highest during the mid-luteal phase and the ratio of allopregnanolone to progesterone was lowest during this phase. These results highlight the hormonal changes that occur during the menstrual cycle.
Article
Biochemical Research Methods
Daniela Lopes, Lucas Mores, Mayara da Silva, Mauana Schneider, Josias Merib, Eduardo Carasek
Summary: In this study, a combination of hollow-fiber microporous membrane liquid-liquid extraction (HF-MMLLE) and a 96-well plate system was used for the determination of estrone, 17-beta-estradiol, estriol, and 17-alpha-ethinylestradiol in urine samples. The method showed advantages such as low cost, easy application, high-throughput, and environmentally-friendly aspects.
JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES
(2022)
Article
Sport Sciences
Essi K. Ahokas, Helen G. Hanstock, Ida Lofberg, Mari Nyman, Piia Wenning, Heikki Kyrolainen, Ritva S. Mikkonen, Johanna K. Ihalainen
Summary: The aim of this study was to investigate within-cycle differences in nocturnal heart rate (HR) and heart rate variability (HRV) in naturally menstruating women (NM) and women using combined hormonal contraceptives (CU) or progestin-only hormonal contraceptives (PU). The results showed that the menstrual cycle and hormonal cycle phases influence autonomic nervous system balance, which is reflected in measurements of nocturnal HR and HRV.
MEDICINE & SCIENCE IN SPORTS & EXERCISE
(2023)
Review
Psychology, Multidisciplinary
Dali Gamsakhurdashvili, Martin I. Antov, Ursula Stockhorst
Summary: This study reviewed original papers on the impact of ovarian-hormone status on facial emotion recognition and emotional memory. Results suggest that features of the stimulus material interact with E2- and P4-related ovarian-hormone status, with oral contraceptive use potentially affecting recognition accuracy of basic and complex emotions.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Biophysics
Sabine Schmidt, Ronny Frank, Dana Krinke, Heinz-Georg Jahnke, Andrea A. Robitzki
Summary: Microelectrode arrays (MEA) are widely used for bioelectronic monitoring. In this study, we explored the use of a polymer-based substrate, PMMA, as an alternative to glass substrates. After optimizing the structuring process, we achieved a comparable resolution and integrated multiple vias into the substrate for easy contacting. We validated the performance of our PMMA MEA through different bioelectronic monitoring techniques.
BIOSENSORS & BIOELECTRONICS
(2022)
Review
Endocrinology & Metabolism
Manon Dubol, C. Neill Epperson, Julia Sacher, Belinda Pletzer, Birgit Derntl, Rupert Lanzenberger, Inger Sundstrom-Poromaa, Erika Comasco
Summary: Increasing evidence suggests that ovarian hormones influence the brain structure, chemistry, and function of women in their reproductive age, potentially shaping their behavior and mental health. Specifically, these hormones fluctuations appear to have modulatory effects on the reactivity and structure of cortico-limbic brain regions.
FRONTIERS IN NEUROENDOCRINOLOGY
(2021)
Article
Clinical Neurology
Jessica A. Harder, Raina N. Fichorova, Akanksha Srivastava, Aleta Wiley, Katherine E. Burdick, Joseph J. Locascio, Hadine Joffe
Summary: This study found that BDNF levels are positively correlated with the severity of mood symptoms in women with perimenopausal depression symptoms, resembling the pattern seen in hormonally-sensitive PMDD. This suggests the presence of a hormonally-sensitive mood disorder biomarker profile distinct from that of major depression.
JOURNAL OF AFFECTIVE DISORDERS
(2022)
Article
Environmental Sciences
Jiri Palat, Petr Kukucka, Garry P. Codling, Elliott J. Price, Petr Janku, Jana Klanova
Summary: A 96-well plate solid phase extraction method was developed for determination of selected POPs in low volume blood serum, with extraction efficiency tested on certified reference materials and demonstrated on real samples from pregnant women.
Article
Biology
Chao Li, Peng Dou, Tianxiang Wang, Xin Lu, Guowang Xu, Xiaohui Lin
Summary: Studying miRNA synergy and identifying miRNA synergistic modules can help understand complex diseases such as cancers. A new method called DDRM combines knowledge databases and miRNA data to define disease-related modules and construct a weighted miRNA synergistic network. Experiments on TCGA datasets showed that DDRM can accurately distinguish cancer samples from normal samples and outperforms previous methods. Validation on prostate cancer data also demonstrated superior performance. Hence, combining miRNA synergy networks and miRNA data is significant for studying disease mechanisms.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Article
Biochemical Research Methods
Xiaoxiao Wang, Fujian Zheng, Meizhen Sheng, Guowang Xu, Xiaohui Lin
Summary: To improve the accuracy of retention time (RT) prediction, this study proposes a method called multi-data combinations and adaptive neural network (MDC-ANN). MDC-ANN establishes the RT prediction model for a target chromatographic system using transfer learning and a deep learning model trained on a large dataset. Experimental results demonstrate that integrating multiple molecular representations provides more information, improves RT prediction performance, and contributes to compound annotation. Different chromatographic systems may require different molecular representation combinations for accurate RT prediction. Hence, MDC-ANN, which automatically determines the best combination of molecular representations for a specific system, shows promise for accurate RT prediction in real applications.
JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES
(2023)
Article
Engineering, Environmental
Chang Wang, Huayu Fu, Jun Yang, Lei Liu, Fenghong Zhang, Chunyu Yang, Hongyuan Li, Jiamiao Chen, Qi Li, Xiaolin Wang, Yaorui Ye, Nan Sheng, Yong Guo, Jiayin Dai, Guowang Xu, Xinyu Liu, Jianshe Wang
Summary: A study found that PFECAs have inhibitory effects on cellular stress signals and lead to hepatomegaly in mice. Additionally, PFECAs also have inhibitory effects on glucocorticoid receptors, which may result in extensive suppression of stress signals. Unlike other similar substances, the next-generation replacements of legacy PFASs, PFECAs, may pose potential risks to human health.
JOURNAL OF HAZARDOUS MATERIALS
(2023)
Article
Biochemistry & Molecular Biology
Qingqing Wang, Miriam Hoene, Chunxiu Hu, Louise Fritsche, Robert Ahrends, Gerhard Liebisch, Kim Ekroos, Andreas Fritsche, Andreas L. Birkenfeld, Xinyu Liu, Xinjie Zhao, Qi Li, Benzhe Su, Andreas Peter, Guowang Xu, Rainer Lehmann
Summary: Reliability, robustness, and interlaboratory comparability of quantitative measurements in clinical lipidomics studies are crucial. The different ex vivo stability of lipids in blood poses a risk to data interpretation. Clear recommendations for blood sample collection are necessary. In this study, we used UHPLC-high resolution mass spectrometry to investigate the stability of 417 lipid species in EDTA whole blood under different temperature conditions and time points. Our data suggest that cooling whole blood immediately and continuously, and separating plasma within 4 hours, unless focusing on robust lipids, are recommended. Lists of lipids' ex vivo (in)stability and potential biomarkers in whole blood are provided. Overall, our results contribute to the international efforts in achieving reliable and comparable clinical lipidomics studies in the future.
JOURNAL OF LIPID RESEARCH
(2023)
Article
Chemistry, Analytical
Xingyu Guo, Lina Zhou, Yi Wang, Feng Suo, Chuanxia Wang, Wei Zhou, Lingshan Gou, Maosheng Gu, Guowang Xu
Summary: This study developed a LC-MS-based method for neonatal metabolomics analysis of DBS and investigated the influences of blood volume and chromatographic effects on metabolite levels. The method showed good repeatability, precision, and linearity, and was applied to study metabolic disruptions of congenital hypothyroidism.
JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS
(2023)
Article
Biochemical Research Methods
Xin Lu, Peng Dou, Chao Li, Fujian Zheng, Lina Zhou, Xiaoyu Xie, Zixuan Wang, Guowang Xu
Summary: This study proposes an annotation strategy involving the derivatization of dipeptides and tripeptides via dansylation, which can choose dipeptides/ tripeptides using a small number of standards. A total of 198 dipeptides and 149 tripeptides were annotated, and the variations in serum dipeptides/tripeptides of three different liver diseases were characterized.
JOURNAL OF PROTEOME RESEARCH
(2023)
Article
Neurosciences
Xiaojiao Xu, Qiu Yang, Zheyi Liu, Rong Zhang, Hang Yu, Manli Wang, Sheng Chen, Guowang Xu, Yaping Shao, Weidong Le
Summary: This study aimed to investigate the molecular changes at both metabolic and proteomic levels during the longitudinal progression of ALS and identify the most critical metabolic pathways and underlying mechanisms involved in ALS pathophysiological changes. The study found differential expressions of metabolites involved in purine metabolism, methionine cycle, and glycolysis in ALS mice, and abnormal expressions of enzymes in these metabolic pathways were also confirmed. Additionally, fatty acid metabolism, TCA cycle, arginine and proline metabolism, and folate-mediated one-carbon metabolism were significantly altered in this disease. The identified differential metabolites and proteins could complement existing data on metabolic reprogramming in ALS and provide new insights into the pathological mechanisms and therapeutic targets of ALS.
NEUROBIOLOGY OF DISEASE
(2023)
Review
Chemistry, Analytical
Di Yu, Lina Zhou, Xinyu Liu, Guowang Xu
Summary: The introduction of stable isotope labeling (SIL) technology has become a routine tool for functional metabolomics studies and allows for a deeper understanding of dynamic metabolic regulation in organisms. Mass spectrometry (MS) techniques have shown great vitality in this field by utilizing the different mass spectrometric characteristics between endogenous metabolites and their isotope-labeling forms. Recent advances in MS-based stable isotope-resolved metabolomics (SIRM) methods have expanded the breadth and depth of SIRM research by improving sample pretreatment, MS analysis, and data analysis. This review describes the recent progress of SIRM methods, summarizes their applications in metabolite identification, accurate quantification, and metabolic flux analysis, and discusses current limitations and challenges.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
(2023)
Article
Biochemistry & Molecular Biology
Xiaoshan Sun, Zhen Jia, Yuqing Zhang, Xinjie Zhao, Chunxia Zhao, Xin Lu, Guowang Xu
Summary: Direct infusion nanoelectrospray high-resolution mass spectrometry (DI-nESI-HRMS) is a promising tool for high-throughput metabolomics analysis. To overcome the limitations of metabolite assignment, a serum metabolome characterization method using a reaction network combined with mass accuracy and isotopic patterns filter was proposed. The approach was validated and compared to database search, showing improved coverage and accuracy rates. The method was then applied to a case study in diabetes metabolomics.
Article
Nanoscience & Nanotechnology
Ruibin Qiang, Haofei Huang, Jia Chen, Xianzhe Shi, Zengjie Fan, Guowang Xu, Hongdeng Qiu
Summary: Rheumatoid arthritis (RA) is characterized by inflammation and pain in the joints, caused in part by a lack of lubrication and excessive proinflammatory proteins. Researchers have developed two potential nanoagents, derived from herbal medicine, that offer both improved joint lubrication and anti-inflammatory effects, showing promise for treating RA.
ACS APPLIED MATERIALS & INTERFACES
(2023)
Article
Chemistry, Analytical
Xiaoshan Sun, Yueyi Xia, Xinjie Zhao, Xinxin Wang, Yuqing Zhang, Zhen Jia, Fujian Zheng, Zaifang Li, Xiuqiong Zhang, Chunxia Zhao, Xin Lu, Guowang Xu
Summary: Direct-infusion Fourier transform ion cyclotron resonance mass spectrometry (DI-FTICR MS) is a promising method for metabolomic analysis with ultrahigh mass accuracy and resolution. In this study, a novel deep characterization approach of serum metabolome was proposed using a segment-optimized spectral-stitching DI-FTICR MS method. This method combines high-confidence and database-independent formula assignments to achieve highly efficient acquisition and accurate assignment of thousands of features in a pooled human serum sample.
ANALYTICAL CHEMISTRY
(2023)
Article
Chemistry, Analytical
Xinxin Wang, Chao Li, Zaifang Li, Yanpeng Qi, Xiuqiong Zhang, Xinjie Zhao, Chunxia Zhao, Xiaohui Lin, Xin Lu, Guowang Xu
Summary: In this study, a structure-guided molecular network strategy (SGMNS) is proposed for deep annotation of untargeted metabolomics data. The strategy utilizes a global connectivity molecular network (GCMN) constructed based on molecular fingerprint similarity of chemical structures in metabolome databases. SGMNS performs network annotation propagation using known metabolites as seeds and achieves high annotation accuracy and precision.
ANALYTICAL CHEMISTRY
(2023)
Editorial Material
Chemistry, Analytical
Xinyu Liu, Xin Lu, Xianzhe Shi, Guowang Xu
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
(2023)
Article
Cardiac & Cardiovascular Systems
Gaokun Qiu, Yuhui Lin, Yang Ouyang, Mingrong You, Xinjie Zhao, Hao Wang, Rundong Niu, Wending Li, Xuedan Xu, Qi Yan, Yurong Liu, Yingmei Li, Handong Yang, Xiulou Li, Meian He, Xiaomin Zhang, Xiao-Ou Shu, Guowang Xu, Tangchun Wu
Summary: This study aimed to identify metabolites associated with incident acute coronary syndrome (ACS) and explore the causality of these associations. Three metabolites were found to be associated with ACS risk, including one that is a degradation product of a gut-brain peptide, one that is a marker of short-term glycemic excursions, and one that is a very-long-chain saturated fatty acid. These findings highlight the importance of gastrointestinal hormones and glycemic fluctuations in the development of ACS.
JOURNAL OF THE AMERICAN HEART ASSOCIATION
(2023)
Article
Immunology
Xinyu Liu, Congshu Xiao, Pengwei Guan, Qianqian Chen, Lei You, Hongwei Kong, Wangshu Qin, Peng Dou, Qi Li, Yanju Li, Ying Jiao, Zhiwei Zhong, Jun Yang, Xiaolin Wang, Qingqing Wang, Jinhui Zhao, Zhiliang Xu, Hong Zhang, Rongkuan Li, Peng Gao, Guowang Xu
Summary: To control the COVID-19 pandemic, efforts have been made to achieve herd immunity through vaccination since 2020. Unfortunately, most COVID-19 vaccines were approved without a thorough evaluation process. Metabolomic analysis can authentically assess the effects of vaccines by reflecting the responses to stimuli.
FRONTIERS IN IMMUNOLOGY
(2023)
Article
Chemistry, Analytical
Qian Wu, Li Tian, Xiangyu Shan, Huiling Li, Chao Li, Juan Lu
Summary: A novel ECL sensor was developed by modifying Fe3CuO4-Ru(bpy)3+ and GO-CdS@ZnS on the electrode for the detection of permethrin. The sensor exhibited high sensitivity and a wide detection range.
Article
Chemistry, Analytical
Tingting Gong, Lei Liao, Bingying Jiang, Ruo Yuan, Yun Xiang
Summary: In this study, a fluorescent biosensing system for high sensitivity detection of MT was established using a new Ag+-stabilized DNA triplex probe (Ag+-SDTP) combined with catalytic hairpin assembly (CHA) and CRISPR/Cas12a signal enhancements. The sensing method is able to selectively detect MT from other non-specific molecules and can achieve low level detection of MT in diluted human serums, demonstrating its potential for monitoring disease-specific MT biomarker at trace levels.
Article
Chemistry, Analytical
Estrella Sanz Rodriguez, Kyra Wood, Paul R. Haddad, Brett Paull
Summary: This study presents a simple, rapid, and reliable method for determining boron in aqueous solutions using suppressed ion chromatography coupled to electrospray ionisation-triple quadrupole mass spectrometry. The method achieved a low limit of detection and demonstrated excellent analytical performance.
Article
Chemistry, Analytical
Aline Cournut, Paul Moustiez, Yannick Coffinier, Christine Enjalbal, Claudia Bich
Summary: Alzheimer's disease is a major cause of senile dementia and is characterized by the aggregation of neurofibrillary tangles and amyloid plaques in the brain. The A beta 1-42 peptide is considered the primary cause of neurotoxicity due to its insolubility and subsequent aggregation. A beta 1-42 and A beta 1-40 have been identified as relevant biomarkers for AD diagnosis, and SurfaceAssisted Laser Desorption/Ionization Mass Spectrometry (SALDI-MS) was used to monitor the A beta 1-42/A beta 1-40 ratio without prior sample treatment.
Article
Chemistry, Analytical
Dotse Selali Chormey, Buse Tugba Zaman, Tulay Borahan Kustanto, Sezin Erarpat Bodur, Suleyman Bodur, Elif Ozturk Er, Sezgin Bakirdere
Summary: This review provides an overview of the harmful effects of endocrine disrupting chemicals (EDCs) on human health and introduces the methods for analyzing EDCs. Recent research has focused on using green chemicals, such as deep eutectic solvents (DESs), for microextraction to ensure environmental safety.
Article
Chemistry, Analytical
Yan Zhang, Renfeng Xu, Jingjing Wu, Zhenghong Zhang, Yuhuang Wang, Hongqin Yang, Sheng Zhang
Summary: This study visualized the pore-like structures in prostate cancer cell membranes after treatment with the anticancer drug paclitaxel, demonstrating its mechanism of action related to oxidative damage.
Article
Chemistry, Analytical
Chihong Ma, Qin Zhou, Jinjin Shi, Hua Gao, Di Huang, Huimin Xue, Han Wang, Zhenzhong Zhang, Sen Yang, Junli Zhang, Kaixiang Zhang
Summary: We developed a CRISPR-empowered electrochemical biosensor, named PER-E-CRISPR, for amplification-free and sensitive detection of miR-21. The biosensor combines the advantages of CRISPR/Cas13a and primer exchange reaction (PER) for target amplification. Under optimized conditions, the PER-E-CRISPR assay exhibits a linear range from 10-13 to 10-7 M and a limit of detection of 30.2 fM. The biosensor shows excellent performance in actual plasma, indicating promising prospects for miRNA detection in molecular diagnosis.
Article
Chemistry, Analytical
Gang Liang, Jie Zhao, Yufei Gao, Tao Xie, Jianhui Zhen, Ligang Pan, Wenwen Gong
Summary: Molecular docking (MD) analysis is widely used for studying the interaction between aptamers and small molecules. This study established steady-state aptamers of tertiary structures (SATS) using specific aptamers of tetracycline antibiotics as docking models. Molecular docking results revealed multiple binding sites in the SATS of aptamers, with significant variations in binding free energy (BFE) and docking score (DS). The study also proposed a method for MD analysis based on SATS, providing insights into binding mode and predicting binding sites.
Article
Chemistry, Analytical
Yixuan Xu, Changchang Teng, Huiping Dang, Dalong Yin, Lifeng Yan
Summary: Stable organic radical molecules with high NIR fluorescence quantum efficiency have been synthesized and encapsulated into nanoparticles, which show great potential for both photodynamic therapy (PDT) and photothermal therapy (PTT) of tumors.
Article
Chemistry, Analytical
Yu Su, Dandan Yang, Yanjie Wang, Jie Ding, Lan Ding, Daqian Song
Summary: In this study, a highly selective molecularly imprinted polymer Cu-MIPs@CS was designed and synthesized for bisphenol A (BPA). Cu-MIPs@CS showed significantly enhanced imprinting factor and selective factor towards BPA compared to MIPs@CS. It also exhibited superior discrimination ability between BPA and its structural analogue. Additionally, Cu-MIPs@CS were successfully applied as a solid phase extraction adsorbent for the determination of BPA in drinking water samples.
Article
Chemistry, Analytical
Yi Qiao, Qiongdan Zhang, Yukun He, Tianguang Cheng, Jing Tu
Summary: Single cell heterogeneity plays an important role in many biological phenomena, and distinguishing cells with specific mutations is beneficial for clinical diagnosis and drug screening. This study introduces a gel plate platform that can distinguish cell types based on their phenotypes, with low equipment requirement. The gel platform has potential in point-of-care circumstances and single-cell stimulation responses that prioritize efficiency and simplicity.
Article
Chemistry, Analytical
Chengke Wang, Shuyang Sun, Ping Wang, Huawei Zhao, Wenling Li
Summary: The food safety of aquatic products is a global concern. Nanotechnology-based analyses have advantages in the detection of bacteria, metal ions, and small molecule contaminants. This review summarizes the recent advances in biosensing strategies for aquatic products and highlights the application of nanomaterials, lateral flow-based biosensors, surface-enhanced Raman scattering, microfluidic chips, and molecular imprinting technologies.
Article
Chemistry, Analytical
Liping Zhu, Zeng Tang, Xuemei Zhang, Li Zhu, Tian Meng, Linying Yu, Ting Xiao, Shasha Lu, Xiaoli Xiong, Xiurong Yang
Summary: A sensitive off-on electrochemiluminescence DNA sensor was developed using Exo III-assisted cascade amplification system. The sensor achieved high selectivity and ultra-high sensitivity in detecting target DNA by utilizing ECL and SPR effects. This study provides a new perspective for designing highly sensitive and programmable ECL biosensors.
Article
Chemistry, Analytical
Tong Li, Mengxu Sun, Suping Xia, Ting Huang, Rong-Tian Li, Chunrong Li, Zong Dai, Jin-Xiang Chen, Jun Chen, Nuan Jia
Summary: Here, we developed a binary system based on DNA tetrahedron and fluorogenic RNA aptamers for highly specific and label-free mRNA imaging in living cells. This system achieved high specificity label-free detection of nucleic acids with a detection limit of 1.34 nM. The method has potential applications in early disease diagnosis and new drug development.
Article
Chemistry, Analytical
Yao Zhao, Shu Zhang, Wang Yao, Yuxuan Zhu, Jing Qian, Juan Yang, Nianjun Yang
Summary: A new hierarchical nanostructured composite with high conductivity and catalytic activity is synthesized. The sensor exhibits significant catalytic effect and high sensitivity for monitoring the environmental endocrine disruptor bisphenol A (BPA).