Article
Spectroscopy
Mahendra K. Shukla, Philippa Wilkes, Norma Bargary, Katherine Meagher, Dikshitkumar Khamar, Donal Bailey, Sarah P. Hudson
Summary: Monoclonal antibodies are highly specific and effective therapies for chronic diseases. However, traditional identification methods for therapeutic proteins have limitations such as lengthy sample preparation, contamination risks, and sample destruction. In this study, Raman spectroscopy combined with chemometrics was used to develop a rapid and non-destructive identification technique for monoclonal antibody-based drug substances, demonstrating its potential in the biopharmaceutical industry.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2023)
Article
Chemistry, Analytical
Emma Buchan, Liam Kelleher, Michael Clancy, Jonathan James Stanley Rickard, Pola Goldberg Oppenheimer
Summary: This study systematically investigated the molecular spectral fingerprint of saliva and developed a non-destructive molecular profiling approach using hybrid artificial neural network algorithms and Raman spectroscopy. The classification algorithm successfully identified gender and age information from saliva, laying the platform for applications in forensics and biosensing. The discernible spectral molecular 'barcodes' primarily stemmed from amino acid, protein, and lipid changes in saliva.
ANALYTICA CHIMICA ACTA
(2021)
Article
Biochemistry & Molecular Biology
Giuseppe Pezzotti, Miyuki Kobara, Tamaki Nakaya, Hayata Imamura, Nao Miyamoto, Tetsuya Adachi, Toshiro Yamamoto, Narisato Kanamura, Eriko Ohgitani, Elia Marin, Wenliang Zhu, Ichiro Nishimura, Osam Mazda, Tetsuo Nakata, Koichi Makimura
Summary: Oral candidiasis, a common opportunistic infection, is mainly caused by Candida species. This study provides in-depth Raman spectroscopy analyses and proposes a barcode-assisted Raman method for rapid identification of oral yeast species. The method can enable on-site identification and improve disease control.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Review
Chemistry, Analytical
Anjali Tomar, Reeta R. Gupta, S. K. Mehta, Shilpee Sachar, Shweta Sharma
Summary: This review comprehensively explores the forensic examination of photocopied documents, analyzing trends and advances in analytical techniques over the past four decades. Various methods including spectroscopic, microscopic, and chromatographic techniques have been discussed for examination of printing toner samples. The use of nondestructive techniques, data fusion, and chemometric methods has enhanced sample discrimination and identification in forensic investigations.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
(2021)
Article
Biochemistry & Molecular Biology
Giuseppe Pezzotti, Miyuki Kobara, Tamaki Nakaya, Hayata Imamura, Tomoya Fujii, Nao Miyamoto, Tetsuya Adachi, Toshiro Yamamoto, Narisato Kanamura, Eriko Ohgitani, Elia Marin, Wenliang Zhu, Toshihisa Kawai, Osam Mazda, Tetsuo Nakata, Koichi Makimura
Summary: This study focuses on on-site/real-time taxonomic identification and metabolic profiling of different clades/subclades of Candida auris using Raman spectroscopy and imaging. The study found clear differences in cell walls and membrane structure among the clades/subclades, which are important for maintaining the integrity and physical strength of the cell walls. Raman analysis revealed various strategies employed by different clades to balance the stiffness, hydrophobicity, and impermeability of their cell walls.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Biochemistry & Molecular Biology
Mackenzi Peterson, Dmitry Kurouski
Summary: The study investigates the potential of near-infrared Raman spectroscopy (NIRS) in the identification of dyes on fabric. Through the analysis of the vibrational fingerprints of 15 different dyes on cotton, NIRS enables highly accurate identification of dyes, opening up a new avenue for forensic analysis at crime scenes.
Review
Environmental Sciences
Cedeno Estefany, Zhenli Sun, Zijin Hong, Jingjing Du
Summary: Atmospheric aerosols have a significant impact on human health and the environment, and their characteristics like size, shape, and chemical composition influence their effects. Quantifying and identifying atmospheric aerosols is challenging due to their high variability on spatial and temporal scales. Raman Spectroscopy (RS) is a valuable technique for understanding aerosol fate and can provide insights into the chemical compositions of individual particles.
ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
(2023)
Article
Spectroscopy
Shelby R. Khandasammy, Lenka Halamkova, Matthieu Baudelet, Igor K. Lednev
Summary: Firearm related evidence plays a significant role in forensic science. Researchers have been exploring the value of organic gunshot residue (OGSR) evidence, including factors like recoverability. Raman spectroscopy and LIBS are two nondestructive and rapid techniques used in this study to identify and characterize OGSR particles from closely related ammunition types. The goal is to differentiate between ammunition types of the same caliber and manufacturer, generated under identical firing conditions.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2023)
Article
Chemistry, Analytical
Wei Huang, Desheng Fan, Wangfang Li, Yaoyong Meng, Timon Cheng-yi Liu
Summary: This study proposes a rapid and non-destructive method for evaluating milk acidity based on Raman spectroscopy and chemometrics. It utilizes nonlinear modeling to predict the acidity and can detect illegal neutralization of milk acidity.
VIBRATIONAL SPECTROSCOPY
(2022)
Review
Medicine, Legal
Danielle Kochenborger John, Klester dos Santos Souza, Marco Flores Ferrao
Summary: The use of non-destructive forensic methods for cocaine identification is crucial due to the large number of seized samples. Spectroscopic techniques such as ATR-FTIR, Raman, and NIR spectroscopy offer fast and cost-effective analysis, along with the reanalysis of samples. When combined with chemometrics, these methods allow for accurate determination and quantification of cocaine, overcoming the limitations of existing techniques. This review article comprehensively discusses the application of spectroscopic techniques in identifying cocaine in various forms and matrices, including food and textiles used for smuggling. It also explores the chemometric identification of cocaine in oral fluid and water, as well as the use of portable equipment for vibrational spectroscopy. The article aims to evaluate the main chemometric applications of spectroscopic data and provide new perspectives on cocaine identification using chemometrics.
FORENSIC SCIENCE INTERNATIONAL
(2023)
Article
Chemistry, Analytical
Romulo R. Facci, Paulo S. de O. Cezario, Jefferson S. de Gois, Aderval S. Luna, Wagner F. Pacheco
Summary: This study developed a method based on synchronous fluorescence combined with chemometric tools to classify vodka samples, achieving high accuracy in distinguishing authentic from counterfeit samples. Discriminant analysis and support vector machine were successful in accurately classifying the samples, while k-nearest neighbor was not effective. Ultimately, only SVM with radial base function was able to correctly classify all brands of vodka samples using synchronous fluorescence spectroscopy.
ANALYTICAL LETTERS
(2021)
Article
Chemistry, Physical
Kunal J. Tiwari, Robert Fonoll Rubio, Sergio Giraldo, Lorenzo Calvo-Barrio, Victor Izquierdo-Roca, Marcel Placidi, Yudania Sanchez, Alejandro Perez-Rodriguez, Edgardo Saucedo, Zacharie Jehl Li-Kao
Summary: The study presents a method to probe the depth morphology, defect profile, and possible secondary phases in thin film semiconductors. By analyzing the morphology of Kesterite films, it is found that more than 50% of the absorber is disconnected from the substrate, highlighting a potential limitation in Kesterite solar cells. Surface-sensitive techniques allow for accurate composition profiling and direct observation of defects in Kesterite.
APPLIED SURFACE SCIENCE
(2021)
Article
Public, Environmental & Occupational Health
Faris El-Dahiyat, Khairi M. S. Fahelelbom, Ammar Abdulrahman Jairoun, Sabaa Saleh Al-Hemyari
Summary: This study aimed to determine the identification rate of substandard and falsified medications among the public, finding that only 30.6% of participants were able to correctly identify counterfeit medicines. Results showed that older, single, Asian or American participants, as well as those willing to check the certification and report counterfeit medications to authorities, had a higher ability to identify counterfeit medicines.
FRONTIERS IN PUBLIC HEALTH
(2021)
Article
Chemistry, Analytical
Rafael C. Castro, David S. M. Ribeiro, Joao L. M. Santos, Ricardo N. M. J. Pascoa
Summary: This study focused on the application of vibrational spectroscopic techniques for the analysis of adulterants in peanut oil. The qualitative analysis showed that MCR-ALS accurately identified all adulterants, while the quantitative analysis demonstrated the effectiveness of both MCR-ALS and PLS in quantifying the adulterants, confirming the feasibility of using these methods in peanut oil.
Review
Chemistry, Analytical
Jana Weisser, Teresa Pohl, Michael Heinzinger, Natalia P. Ivleva, Thomas Hofmann, Karl Glas
Summary: This article discusses data analysis methods for identifying microplastics using vibrational spectra, introduces relevant programs provided by the scientific community, and aims to provide guidance for those who want to establish or enhance data analysis routines for vibrational spectra of microplastics.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
(2022)
Article
Environmental Sciences
Naomi Reymond, Erik Emke, Thea Boucheron, Thomas ter Laak, Pim de Voogt, Pierre Esseiva, Frederic Been
Summary: This study used high-resolution mass spectrometry data to detect markers of MDMA and amphetamine production in wastewater samples from the Netherlands, identifying 28 potential production markers that could help detect waste in sewer systems.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Environmental Sciences
Ruud Steenbeek, Peer H. A. Timmers, Danielle van der Linde, Kay Hup, Luc Hornstra, Frederic Been
Summary: This study aims to understand the variability in antibiotic-resistant gene (ARG) levels measured in the influent and effluent of two wastewater treatment plants in the Netherlands and link them to antibiotic residue levels in the same samples. The research found significant variations in mass loads between different days and in correlation with rainfall. Adequate sampling schemes should be designed to ensure accurate and representative conclusions.
JOURNAL OF WATER AND HEALTH
(2022)
Article
Environmental Sciences
Xin Tian, Frederic Been, Patrick S. Bauerlein
Summary: This study presents a novel approach to identify weathered microplastics using a combination of supervised and unsupervised machine learning models. The accuracy of identification reached up to 89.7% using supervised models and additional subgroups of microplastics were detected using an unsupervised model. This approach can greatly accelerate the identification process and reduce the labeling efforts.
ENVIRONMENTAL RESEARCH
(2022)
Article
Medicine, Legal
Thomas L. Ter Laak, Erik Emke, Annemieke Benschop, Ton Nabben, Frederic Been
Summary: Drug consumption estimates are important for public health and understanding criminal activities. Wastewater analysis can be used to estimate drug consumption and markets. This study in Amsterdam found an increase in consumption of MDMA, cocaine, amphetamine, and methamphetamine using wastewater analysis and other survey methods.
FORENSIC SCIENCE INTERNATIONAL
(2022)
Article
Environmental Sciences
Ruud Steenbeek, Erik Emke, Dennis Vughs, Joao Matias, Tim Boogaerts, Sara Castiglioni, Marina Campos-Manas, Adrian Covaci, Pim de Voogt, Thomas ter Laak, Felix Hernandez, Noelia Salgueiro-Gonzalez, Wim G. Meijer, Mario J. Dias, Susana Simoes, Alexander L. N. van Nuijs, Lubertus Bijlsma, Frederic Been
Summary: This study assessed crack cocaine use on a broad scale, both temporal and in cities across Europe, using wastewater-based epidemiology. The results highlight the importance of monitoring community loads of crack cocaine use.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Engineering, Environmental
Xin Tian, Frederic Been, Yiqun Sun, Peter van Thienen, Patrick S. Bauerlein
Summary: Identifying environmental polymers and micro-plastics is crucial, and various spectroscopy techniques and machine learning models can be used for accurate identification and classification. This study compares different machine learning models on different data set sizes and proposes a data augmentation technique for generating synthetic samples. The results show that an ensemble ML model achieves the best performance with a classification accuracy of 99.5%.
ENVIRONMENTAL SCIENCE & TECHNOLOGY LETTERS
(2023)
Article
Environmental Sciences
Tim J. H. Jonkers, Peter H. J. Keizers, Frederic Been, Jeroen Meijer, Corine J. Houtman, Imane Al Gharib, Douwe Molenaar, Timo Hamers, Marja H. Lamoree
Summary: The study aimed to identify antimicrobial contaminants in the aquatic environment using effect-directed analysis. Samples of wastewater influent, effluent, and surface water were collected at two study sites and subjected to high-resolution fractionation. Antibiotics bioassay was performed on 80 resulting fractions to determine bioactivity. Suspect and non-targeted identification strategy was guided by bioactive fractions using high-resolution mass spectrometry data. The study successfully identified antibiotic metabolites in the aquatic environment, highlighting the importance of considering the toxic effects of bioactive metabolites in environmental risk assessments.
Article
Engineering, Environmental
Mohammad Sadia, Ingeborg Nollen, Rick Helmus, Thomas L. ter Laak, Frederic Been, Antonia Praetorius, Annemarie P. van Wezel
Summary: This study examines human exposure to PFAS through drinking water and assesses the associated health risks. A method for analyzing 56 target PFAS was developed and applied to drinking water samples from 18 Dutch locations. The study found that ultrashort-chain PFAS and PFCA were the most dominant substances, while surface water sources had higher levels of PFCA and perfluoroalkyl-sulfonic-acid. Groundwater protection is necessary to address the presence of ultrashort PFAS. Some advanced treatment processes showed negative removal of PFAS, indicating desorption and degradation. Drinking water produced from surface water exceeded non-binding provisional guideline values in some locations but met the upcoming binding drinking-water-directive requirements.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Engineering, Environmental
Barbara Kasprzyk-Hordern, Frederic Been, Lubertus Bijlsma, Werner Brack, Sara Castiglioni, Adrian Covaci, Bice S. Martincigh, Jochen F. Mueller, Alexander L. N. van Nuijs, Temilola Oluseyi, Kevin V. Thomas
Summary: Water-based environmental monitoring (WBE) has become a useful tool for SARS-CoV-2 surveillance and has been applied to assess illicit drug consumption in communities. It is important to expand its use to evaluate community exposure to chemical stressors. The goal of WBE is to measure exposure, identify exposure-outcome associations, and implement interventions for exposure prevention and public health promotion. To fully utilize WBE, further action is needed, such as integrating WBE with human biomonitoring initiatives, conducting global WBE monitoring campaigns, combining WBE with One Health actions, and advancing analytical tools and methodologies.
JOURNAL OF HAZARDOUS MATERIALS
(2023)
Article
Environmental Sciences
Ray W. Izquierdo-Lara, Leo Heijnen, Bas B. Oude Munnink, Claudia M. E. Schapendonk, Goffe Elsinga, Jeroen Langeveld, Johan Post, Divyae K. Prasad, Christian Carrizosa, Frederic Been, Janko van Beek, Remy Schilperoort, Rianne Vriend, Ewout Fanoy, Evelien I. T. de Schepper, Reina S. Sikkema, Richard Molenkamp, Frank M. Aarestrup, Gertjan Medema, Marion P. G. Koopmans, Miranda de Graaf
Summary: Monitoring SARS-CoV-2 in wastewater has the potential to provide valuable information about viral dynamics and diversity within a population. In this study, sewage samples from different areas in Rotterdam were sequenced, and specific signature mutations were used to estimate the relative abundances of SARS-CoV-2 lineages. The results were compared with clinical genomic surveillance data to track the emergence, dominance, and replacement of specific variants of concern (VOCs). The study also demonstrated the ability to detect spatio-temporal clusters and identify mutations not captured by clinical surveillance.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Chemistry, Analytical
S. Codrean, B. Kruit, N. Meekel, D. Vughs, F. Been
Summary: This study developed a machine learning-based approach to automatically evaluate the diagnostic information of MS2 spectra of environmentally relevant compounds. By training a classifier, the MS2 spectra providing good or poor diagnostic information were successfully distinguished, showing high accuracy, precision, and recall.
ANALYTICAL CHEMISTRY
(2023)
Article
Environmental Sciences
Miranda de Graaf, Jeroen Langeveld, Johan Post, Christian Carrizosa, Eelco Franz, Ray W. Izquierdo-Lara, Goffe Elsinga, Leo Heijnen, Frederic Been, Janko van Beek, Remy Schilperoort, Rianne Vriend, Ewout Fanoy, Evelien I. T. de Schepper, Marion P. G. Koopmans, Gertjan Medema
Summary: Despite high vaccination rates, SARS-CoV-2 continues to circulate in the Netherlands. Sewage surveillance has been used as an early warning tool and has shown correlation with case trends, independent of variants of concern and vaccination levels. It can objectively display virus dynamics and measure small variations in infected individuals.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Review
Environmental Sciences
Juliane Hollender, Emma L. Schymanski, Lutz Ahrens, Nikiforos Alygizakis, Frederic Been, Lubertus Bijlsma, Andrea M. Brunner, Alberto Celma, Aurelie Fildier, Qiuguo Fu, Pablo Gago-Ferrero, Ruben Gil-Solsona, Peter Haglund, Martin Hansen, Sarit Kaserzon, Anneli Kruve, Marja Lamoree, Christelle Margoum, Jeroen Meijer, Sylvain Merel, Cassandra Rauert, Pawel Rostkowski, Saer Samanipour, Bastian Schulze, Tobias Schulze, Randolph R. Singh, Jaroslav Slobodnik, Teresa Steininger-Mairinger, Nikolaos S. Thomaidis, Anne Togola, Katrin Vorkamp, Emmanuelle Vulliet, Linyan Zhu, Martin Krauss
Summary: The increasing production and use of chemicals have led to a growing interest in understanding their impact on ecosystems and human health through suspect and non-target screening (NTS). To promote effective implementation of NTS, more harmonisation is needed. The NORMAN Association has prepared a guidance document to provide guidance on conducting high-quality NTS studies and interpreting data while addressing the challenges and pitfalls of these techniques. The document covers various steps of NTS, from sampling and analysis to data evaluation and reporting, and also introduces analytical methods, processing techniques, and databases commonly used in NTS workflows.
ENVIRONMENTAL SCIENCES EUROPE
(2023)
Article
Engineering, Environmental
Mohammad Sadia, Ingeborg Nollen, Rick Helmus, Thomas L. ter Laak, Frederic Been, Antonia Praetorius, Annemarie P. van Wezel
Summary: This study examines human exposure to PFAS through drinking water and assesses the associated health risks. A method for detecting 56 target PFAS, including ultrashort-chain and branched isomers, was developed and applied to Dutch drinking water sources and treatment processes. The study found that ultrashort-chain and PFCA PFAS were dominant in the water, with higher levels of PFCA and perfluoroalkyl-sulfonic-acid in water from surface sources. However, all produced drinking waters met the binding drinking water directive requirements.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Environmental Sciences
Natalie Stephens, Frederic Been, Dragan Savic
Summary: Wastewater-based epidemiology (WBE) is recognized as a powerful tool for detecting and monitoring SARS-CoV-2 trends. This study extended the use of WBE to explore the effectiveness of nonpharmaceutical interventions (NPIs) and compare their impact on COVID-19 hospitalizations.
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)
