Article
Biophysics
Rahul Gangwar, Debjyoti Ray, Sajmina Khatun, Challapalli Subrahmanyam, Aravind Kumar Rengan, Siva Rama Krishna Vanjari
Summary: An electrochemical sensing platform utilizing TLR4/MD-2 complex has been developed to identify bacterial type, especially gram-negative bacteria. This cost-effective sensor platform can predominantly identify gram-negative bacteria in a mixture of gram-positive bacteria and fungi, with minimal interference from water matrix, showing potential for real-time bacterial detection.
BIOSENSORS & BIOELECTRONICS
(2023)
Article
Multidisciplinary Sciences
Yancong Zhang, Amrisha Bhosle, Sena Bae, Lauren J. McIver, Gleb Pishchany, Emma K. Accorsi, Kelsey N. Thompson, Cesar Arze, Ya Wang, Ayshwarya Subramanian, Sean M. Kearney, April Pawluk, Damian R. Plichta, Ali Rahnavard, Afrah Shafquat, Ramnik J. Xavier, Hera Vlamakis, Wendy S. Garrett, Andy Krueger, Curtis Huttenhower, Eric A. Franzosa
Summary: This article investigates the role of microbial communities and their associated bioactive compounds in inflammatory bowel diseases (IBD). It systematically identifies potentially bioactive protein families involved in gut inflammation during IBD and validates their bioactivity using a combination of metagenomics, metatranscriptomics, and metaproteomics. The results provide candidate microbial proteins that interact with the host immune system in IBD, expanding our understanding of potentially bioactive gene products in chronic diseases.
Review
Multidisciplinary Sciences
Abdulaziz Alqasim
Summary: Gram-negative bacteria (GNB) pose a significant health threat globally, with increasing antimicrobial resistance leading to the need for colistin treatment. Saudi Arabia's annual mass religious gatherings heighten the risk of infectious disease transmission. While colistin remains effective locally, high resistance has been observed among major GNB, and the role of mass gatherings in triggering colistin resistance is concerning.
JOURNAL OF KING SAUD UNIVERSITY SCIENCE
(2021)
Review
Engineering, Multidisciplinary
Yuan Wang, Qixia Luo, Tingting Xiao, Yunying Zhu, Yonghong Xiao
Summary: Humanity is facing a growing threat from multi-drug resistant Gram-negative bacteria, particularly Escherichia coli, Klebsiella pneumoniae, and Acinetobacter baumannii. The last-line treatment, polymyxin, is facing challenges due to the occurrence of polymyxin-resistant bacteria. Understanding the impact of polymyxin resistance on the virulence and fitness of these bacteria is crucial for prevention and intervention.
Review
Microbiology
Caitlyn L. Holmes, Mark T. Anderson, Harry L. T. Mobley, Michael A. Bachman
Summary: Gram-negative bacteremia is a devastating public health threat with increasing rates of both infection and antimicrobial resistance. This condition develops in three phases, each with unique pathogenic mechanisms. A small subset of prominent Gram-negative species are responsible for the majority of cases, with identified fitness factors demonstrating shared and unique pathogenic mechanisms.
CLINICAL MICROBIOLOGY REVIEWS
(2021)
Article
Chemistry, Medicinal
Elnaz Harifi Mood, Lise Goltermann, Camilla Brolin, Lina M. Cavaco, Alireza Japoni Nejad, Niloofar Yavari, Nicki Frederiksen, Henrik Franzyk, Peter E. Nielsen
Summary: The peptidomimetic CEP-136 significantly potentiates the antibacterial activity of clinically important antibiotics against several human pathogens, showing strong synergy with some combinations resulting in over 50-fold reduction in antibiotic concentration. Mechanistic studies suggest the potentiation effect arises from permeabilization of the Gram-negative bacteria's outer membrane lipopolysaccharide layer. Additionally, CEP-136 exhibits low toxicity to mammalian cells and mice, making it a promising compound for developing adjuvants to combat infections by multidrug-resistant Gram-negative bacteria.
ACS INFECTIOUS DISEASES
(2021)
Article
Multidisciplinary Sciences
Zhili Yu, Yaoming Wu, Muyuan Chen, Tong Huo, Wei Zheng, Steven J. Ludtke, Xiaodong Shi, Zhao Wang
Summary: In this study, the authors investigated the secretins GspD(& alpha;) and GspD(& beta;) in Escherichia coli and determined their intermediate structures during the translocation process using Cryo-ET. The obtained structures revealed different membrane interaction patterns and peptidoglycan layer transitions, suggesting two distinct models for the membrane translocation of GspD(& alpha;) and GspD(& beta;). These findings provide valuable insights into the biogenesis of T2SS secretins and their role in bacterial toxin secretion.
NATURE COMMUNICATIONS
(2023)
Article
Infectious Diseases
Ioannis Baltas, Thomas Stockdale, Matija Tausan, Areeba Kashif, Javeria Anwar, Junaid Anvar, Eirini Koutoumanou, David Sidebottom, Veronica Garcia-Arias, Melanie Wright, Jane Democratis
Summary: This study analyzed the long-term outcomes of patients with Gram-negative bacteraemia and found that adverse antimicrobial resistance profile and infection with Pseudomonas aeruginosa were independent predictors of late mortality. Other significant factors included comorbidity and length of hospitalization.
JOURNAL OF GLOBAL ANTIMICROBIAL RESISTANCE
(2021)
Article
Biology
Jun-ichi Ishihara, Tomohiro Mekubo, Chikako Kusaka, Suguru Kondo, Ryotaro Oiko, Kensuke Igarashi, Hirofumi Aiba, Shu Ishikawa, Naotake Ogasawara, Taku Oshima, Hiroki Takahashi
Summary: Copper is essential but toxic in excess. Gram-negative bacteria achieve copper homeostasis in the periplasm and use periplasmic proteins to sense and store copper. The periplasmic multi-copper oxidase CueO and copper-responsive transcriptional factor CusS play important roles in protecting against Cu(I) toxicity and incorporating copper into periplasmic components/proteins. This study suggests that Gram-negative bacteria have evolved mechanisms to sense and store copper in the periplasm to expand their living niches.
Article
Optics
Yuqian Zhang, Hao Zhou, Xuran Du, Xin Guo, Qiusheng Wang, Xu Zeng
Summary: A novel fluorescent compound was synthesized and used as a probe for detecting Hg2+. The fluorescence of this probe is low in aqueous environment but can be enhanced in the presence of Hg2+. Furthermore, the fluorescence intensity can be further enhanced with the addition of LPS. The biosorption capacity of gram-negative bacteria for Hg2+ can be conveniently evaluated using the fluorescence intensity change of this compound.
JOURNAL OF LUMINESCENCE
(2022)
Review
Biotechnology & Applied Microbiology
Mohammad Abavisani, Narjess Bostanghadiri, Hossein Ghahramanpour, Mansoor Kodori, Fariba Akrami, Hadis Fathizadeh, Ali Hashemi, Mohsen Rastegari-Pouyani
Summary: Multidrug-resistant Escherichia coli strains with high-level resistance to the antibiotic colistin are rapidly increasing worldwide, posing a challenge to effective treatment options. This comprehensive review focuses on colistin resistance mechanisms in E. coli strains, including the history, mode of action, and therapeutic implications of colistin. It primarily discusses the fundamental mechanisms of chromosomal or plasmid-mediated colistin resistance, as well as major mutations in two-component system genes and plasmids that transmit mobilized colistin resistance genes in E. coli strains.
LETTERS IN APPLIED MICROBIOLOGY
(2023)
Article
Immunology
Caitlyn L. Holmes, Sara N. Smith, Stephen J. Gurczynski, Geoffrey B. Severin, Lavinia Unverdorben, Jay Vornhagen, Harry L. T. Mobley, Michael A. Bachman
Summary: This study identifies GmhB as a conserved factor that enhances the fitness of Gram-negative bacteremia in blood-filtering organs through LPS-mediated mechanisms.
INFECTION AND IMMUNITY
(2022)
Article
Multidisciplinary Sciences
Zi-xing Zhong, Shuang Zhou, Yu-jiao Liang, Yi-yang Wei, Yan Li, Teng-fei Long, Qian He, Meng-yuan Li, Yu-feng Zhou, Yang Yu, Liang-xing Fang, Xiao-ping Liao, Barry N. Kreiswirth, Liang Chen, Hao Ren, Ya-hong Liu, Jian Sun
Summary: In response to the global rise in antimicrobial resistance, this study established a screening platform that mimicked the host environment and identified three catechol-type flavonoids as potent adjuvants for colistin. Further analysis revealed that these flavonoids disrupted bacterial iron homeostasis and enhanced colistin efficacy. In vivo infection models confirmed the potentiation of these flavonoids. Overall, this study provided valuable insights for combating bacterial infections by targeting bacterial iron signaling.
Article
Medicine, Research & Experimental
Rui Liu, Yuping Zhong, Rui Chen, Shiyi Chen, Yazhu Huang, Huan Liu
Summary: This study found a strong correlation between the abundance of Escherichia coli (E. coli) in bone marrow and the number of bone lesions in multiple myeloma patients. Further experiments showed that E. coli promotes osteoclast differentiation and inhibits osteoblast differentiation. Mechanism studies revealed that the lipopolysaccharides (LPS) produced by E. coli affect signaling pathways involved in bone formation and resorption. In vivo studies also demonstrated that eliminating E. coli infection helps in the healing of bone lesions in multiple myeloma patients.
JOURNAL OF TRANSLATIONAL MEDICINE
(2022)
Article
Chemistry, Analytical
Mazin Zamzami, Samer Alamoudi, Abrar Ahmad, Hani Choudhry, Mohammad Imran Khan, Salman Hosawi, Gulam Rabbani, El-Sayed Shalaan, Bassim Arkook
Summary: This study presents an electrochemical method for directly identifying unlabeled Gram-negative bacteria without the need for additional substances. The design of the electrode geometry plays a crucial role in the detection sensitivity of Gram-negative bacteria. The aim is to find the most suitable electrode geometry to detect and quantify bacterial cells in normal saline solutions.
Article
Statistics & Probability
Sajjad Haider Bhatti, Faizan Wajid Khan, Muhammad Irfan, Muhammad Ali Raza
Summary: This article compares the performance of the least squares ratio method with the traditional OLS method under heteroscedasticity conditions. Simulation study and real-life examples show that the least squares ratio method outperforms the OLS method in cases of moderate to severe heteroscedasticity and small sample sizes.
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
(2023)
Article
Polymer Science
Muhammad Irfan, Muhammad Aslam, Zulfiqar Ali Raza
Summary: In this study, a PVA-PPy-Bi2O3 nanocomposite was fabricated using the solution casting method. The mass attenuation coefficients of the composite were significantly enhanced by increasing the Bi2O3 nanoparticle content, leading to improved gamma irradiation shielding properties.
Article
Environmental Sciences
Shahid Ali, Qingyou Yan, Asif Razzaq, Irfan Khan, Muhammad Irfan
Summary: Adopting biogas technology in a developing country like Pakistan is a complex process. The government has taken steps to address energy issues by increasing biogas facilities and identifying barriers to the deployment of biogas plants. Study results suggest that reducing economic and governmental barriers and encouraging farmers to effectively use biogas plants are crucial for promoting the implementation of biogas technology.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Mirza Huzaifa Asif, Tan Zhongfu, Bilal Ahmad, Muhammad Irfan, Asif Razzaq, Waqar Ameer
Summary: There is a lack of research on the intention of consumers in rural China to adopt solar energy, and this study fills this gap. The results show that attitude, environmental knowledge, subjective norm, perceived behavioral control, and beliefs about the benefits of solar energy positively influence buying intention of solar energy, while environmental concern has no significant effect on buying intention. The study emphasizes the importance of changing societal norms, boosting consumer awareness, redesigning regulatory mechanisms, and stressing the benefits of solar power in enhancing environmental sustainability practices.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Automation & Control Systems
Abdullah A. Asiri, Ahmad Shaf, Tariq Ali, Muhammad Aamir, Ali Usman, Muhammad Irfan, Hassan A. Alshamrani, Khlood M. Mehdar, Osama M. Alshehri, Samar M. Alqhtani
Summary: This study proposes a method using Generative Adversarial Network (GAN) technology to generate realistic brain tumor images, aiming to improve the learning ability of physicians and computer-aided systems. By comparing with existing methods, it shows better performance.
INTELLIGENT AUTOMATION AND SOFT COMPUTING
(2023)
Article
Materials Science, Multidisciplinary
Abdul Ahad Khan, Zeesham Abbas, Zeshan Zada, Rifaqat Zada, M. Fazal Ur Rehman, Muhammad Irfan, G. Murtaza, Muhammad Ismail, Qaisar Khan, Muhammad Ishaq, Sajjad Hussain, Ali H. Reshak
Summary: In this study, the ground state properties of [SrSO4]:Eu2+ and [SrSO4]:Tb2+ compounds were calculated using DFT-based WIEN2K simulation code and FP-LAPW method. The electrical and optical characteristics of Sr1-xAxSO4 (A = Eu2+, Tb2+) were determined using GGA + U approach. The band structure of Sr1-xEuxSO4 compound showed semiconducting nature, while Sr1-xTbxSO4 compound exhibited full-metallic nature. The compounds showed promising optical and thermoelectric properties for future advanced devices.
MATERIALS CHEMISTRY AND PHYSICS
(2023)
Article
Meteorology & Atmospheric Sciences
Muhammad Rizwan, Lubna Anjum, Qaisar Mehmood, Junaid Nawaz Chauhdary, Muhammad Yamin, Muhammad Awais, Muhammad Ansir Muneer, Muhammad Irfan
Summary: This study estimated the daily maximum precipitation for 50 stations in the source region of the Indus River using the best-fitted probability distribution. Nine commonly used probability distributions were applied and the parameters were determined using the method of moments. The goodness-of-fit tests were employed to select the best-fitted probability model, with generalized extreme value being the most commonly selected distribution. The results of this study can be used to develop models to minimize the threats of flooding and damages.
THEORETICAL AND APPLIED CLIMATOLOGY
(2023)
Article
Pharmacology & Pharmacy
Muhammad Asim, Marriam Nazir, Zunera Chauhdary, Muhammad Irfan, Syed Haroon Khalid, Sajid Asghar, Raed I. Usra, Raed Felimban, Mohammed A. S. Majrashi, Mohannad S. Hazzazi, Mohammed Alissa, Safa H. Qahl, Ghulam Hussain, Azhar Rasul, Shahzad Ali Shahid Chatha, Ikram Ullah Khan
Summary: The current study aimed to enhance the solubility and dissolution profile of dexibuprofen (Dex) by formulating ternary solid dispersions (TSDs) through solvent evaporation. The TSD formulations showed improved solubility and dissolution, as well as gastric protection and anti-inflammatory activity.
Article
Biochemistry & Molecular Biology
Asad Ullah, Mahboob ul Haq, Madiha Iqbal, Muhammad Irfan, Saifullah Khan, Riaz Muhammad, Amin Ullah, Muhammad Khurram, Metab Alharbi, Abdullah F. F. Alasmari, Sajjad Ahmad
Summary: Moraxella lacunata is an emerging gram-negative bacterium responsible for multiple nosocomial infections. A multi-epitope-based vaccine has been designed for M. lacunata using fusion of selected epitopes and cholera toxin-B adjuvant. Docking analysis and molecular dynamics simulation showed strong interactions and stable binding conformation between the vaccine and immune cell receptors. Theoretical binding free energies were estimated using MM-PBSA and MM-GBSA methods.
JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
(2023)
Article
Materials Science, Multidisciplinary
Hafiza Mehwish Rasheed, Abdul Rauf, Muhammad Arif, Ayesha Mohyuddin, Muhammad Javid, Sohail Nadeem, Afifa Yousuf, Muhammad Irfan, Shah Muhammad Haroon, Hamid Raza, Sobhy M. Ibrahim, Shams Ul Mahmood
Summary: Water contamination is an increasing problem due to the versatile applications of heavy metal ions, but the selective removal of these ions from wastewater remains an issue. To address this, a ZnO-PVA-coated membrane was developed using a sol-gel process and bio-inspired Azadirachta indica (neem) extract. The membrane successfully removed Pb+2 ions from polluted water solution, with a removal efficiency of 93.99% at pH=4 and a maximum adsorption capacity of 218.47 mg/g.
Article
Green & Sustainable Science & Technology
Rinat A. Zhanbayev, Muhammad Irfan, Anna V. Shutaleva, Daniil G. Maksimov, Rimma Abdykadyrkyzy, Sahin Filiz
Summary: This study aims to explore a demoethical model for sustainable development in modern society, which provides practical recommendations for stakeholders involved in digital transformation. Through a literature review and analysis, the study identifies key components of the demoethical model and values that align with sustainable development. The results demonstrate that the notion of a demoethical foundation for sustainability is rooted in spirituality as the basis for societal development and its relationship with nature.
Article
Economics
Haitao Wu, Bingjie Wang, Mingyue Lu, Muhammad Irfan, Xin Miao, Shiyue Luo, Yu Hao
Summary: This study applies DEA method and Tobit model to calculate the agricultural energy conservation and emission reduction efficiency, and uses a threshold regression model to examine the relationship between internet advancement and China's agricultural energy conservation and emission reduction efficiency. The results demonstrate that the internet has a significant positive impact on agricultural energy conservation and emission reduction efficiency, even after considering potential endogeneity. Furthermore, the estimates from the threshold regression model reveal a double-threshold effect of internet advancement on China's agricultural green total factor energy efficiency (ATFEE).
Article
Environmental Sciences
Naila Nureen, Huaping Sun, Muhammad Irfan, Alina Cristina Nuta, Maida Malik
Summary: The increasing importance of green supply chain management in developing countries' manufacturing sector is driven by environmental deterioration and the need for competitiveness and sustainability. This research examines the impact of green supply chain management practices on firm performance, considering the moderating effect of collaborative capability and the mediating influence of eco-technological innovation and environmental strategy. The findings indicate that green supply chain management indirectly affects firm performance, with positive relationships observed with environmental strategy and eco-technological innovation. The study also highlights the significant mediating role of environmental strategy and eco-technological innovation, as well as the positive moderating effect of collaborative capability on the relationship between green supply chain management and firm performance.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Naila Nureen, Yongrong Xin, Muhammad Irfan, Shah Fahad
Summary: Using natural resource-based view theory, this study examined the relationship between green supply chain management, green training, green organizational culture, and firm performance. Data was collected from 650 participants in the Chinese manufacturing sector through a survey questionnaire. Structural equation modeling (SEM) was used to test the hypotheses. The findings support the positive impact of green supply chain management on firm performance and highlight the mediating role of green training, as well as the moderating role of green organizational culture.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Yuntao Wu, Jin Hu, Muhammad Irfan, Mingjun Hu
Summary: Achieving sustainable economic development and mitigating climate change require effective green transformation management, including incentivizing industrial enterprises to adopt green transformation practices through increased environmental taxes, and providing financial incentives from the central government to local governments.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2024)
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)