Article
Biophysics
Skomantas Serapinas, Justina Gineityte, Marius Butkevicius, Rapolas Danilevicius, Marius Dagys, Dalius Ratautas
Summary: This paper presents a new bioelectronic device for the detection of nuclease activity in various fluids. The developed sensor enables rapid and sensitive determination of DNase activity, with high accuracy and reproducibility demonstrated in real human saliva samples. The technology has the potential to improve nuclease quality control processes in the pharmaceutical/biotechnology industry and provide new insights into the importance of nucleases for medical applications.
BIOSENSORS & BIOELECTRONICS
(2022)
Article
Plant Sciences
Pil Joong Chung, Gajendra P. Singh, Chung-Hao Huang, Sayuj Koyyappurath, Jun Sung Seo, Hui-Zhu Mao, Piyarut Diloknawarit, Rajeev J. Ram, Rajani Sarojam, Nam-Hai Chua
Summary: A rapid Raman spectroscopy-based method for detecting and quantifying early innate immunity responses in Arabidopsis and Choy Sum plants has been developed, using ERI and IRI values to quantify immune responses. Raman spectroscopy can be used for screening plant mutants and early diagnosis of pathogen infections.
FRONTIERS IN PLANT SCIENCE
(2021)
Article
Biochemistry & Molecular Biology
Sudharsan Sadhasivam, Omer Barda, Varda Zakin, Ram Reifen, Edward Sionov
Summary: In this study, a cost-effective method using HPLC coupled with spectroscopic detectors was developed for the detection and quantification of PAT and CTN in pome fruits without the need for clean-up steps. The method showed good performance in analyzing these mycotoxins in apple and pear fruit samples, providing rapid and accurate detection. The study findings indicate that the newly developed HPLC method is a reliable approach for PAT and CTN analysis in fruits.
Article
Chemistry, Analytical
Abraham O. Ogungbile, Idan Ashur, Itzik Icin, Orr H. Shapiro, Sefi Vernick
Summary: The development of an electrochemical biosensor for rapid quantitative detection of microcystins in water has shown superior sensitivity and specificity compared to current methods, demonstrating its potential as an essential tool for water monitoring and environmental diagnostics in the future.
SENSORS AND ACTUATORS B-CHEMICAL
(2021)
Article
Engineering, Biomedical
Xiaolin Wu, Joshua K. Tay, Chuan Keng Goh, Cheryl Chan, Yie Hou Lee, Stacy L. Springs, De Yun Wang, Kwok Seng Loh, Timothy K. Lu, Harry Yu
Summary: RADICA is a novel approach for absolute quantification of nucleic acids in 40-60 minutes, offering high accuracy and low variability in detecting and quantifying various targets such as SARS-CoV-2 and EBV. It provides a faster alternative to traditional methods, showing versatility and sensitivity across different applications.
Article
Biochemistry & Molecular Biology
Panxue Wang, Li Wang, Cen Li, Xiang Li, Guoliang Li
Summary: A ratiometric SERS aptasensor was established for the reliable and rapid detection and quantification of enrofloxacin. The method used aptamers labeled with ROX and gold nanoparticles functionalized with 4-MBN as SERS probes. The ratio of the SERS signal intensities of ROX to 4-MBN was used for the determination of enrofloxacin. The developed aptasensor showed high sensitivity and a wide linear range, and was successfully applied in the detection of enrofloxacin in fish and chicken meat.
Article
Chemistry, Analytical
Najla AlMasoud, Taghrid S. Alomar, Yun Xu, Cassio Lima, Royston Goodacre
Summary: Paracetamol (acetaminophen) is commonly used as an OTC drug for mild pain, headache, cold and flu. However, it is also used for suicide attempts in young adults, making rapid detection of overdose crucial to limit liver damage. In this study, a surface-enhanced Raman scattering (SERS) methodology was developed to accurately quantify paracetamol and its metabolites in water and artificial urine.
Article
Engineering, Mechanical
Seyed-Ehsan Mir-Haidari, Kamran Behdinan
Summary: Efficient testing protocols were developed in this research for accurate detection and quantification of nonlinearities in aeroengine casing assemblies. The integration of theoretical FE modelling techniques with advanced experiment formulations resulted in significantly improved time efficiency and accuracy in nonlinear testing.
NONLINEAR DYNAMICS
(2021)
Article
Plant Sciences
Valentina Rossi, Julia Bengtsson, Andrei Kiselev, Elodie Gaulin, Louise Holmquist, Laura J. Grenville-Briggs
Summary: This study aimed to establish a qPCR-based method to quantify pathogen DNA in infected plants, predict the resistance levels of different sugar beet genotypes to A. cochlioides, and investigate the response differences to A. cochlioides isolates from different geographical origins. Additionally, confocal microscopy was used to observe the colonization pattern in infected seedlings of susceptible and partially resistant breeding lines. The research presented in this article provides a tool to understand infection progress in infected tissues and identify the genetic background of resistance to A. cochlioides for breeding programs.
JOURNAL OF PLANT PATHOLOGY
(2023)
Article
Chemistry, Multidisciplinary
Megan I. Chambers, Justine E. Giffen-Lemieux, Rabi A. Musah
Summary: In recent years, national laboratories have identified several plant-derived materials as concerns to public health due to their psychoactive effects and potential for abuse. Salvia divinorum, in particular, has received attention for its increasing recreational use and easy accessibility. This study used DART-HRMS to rapidly screen for Salvia plant material and developed a validated method for quantifying salvinorin A in commercial Salvia products.
Article
Polymer Science
Cesar Caceres, Macarena del Pilar Garcia Morgado, Freddy Celis Bozo, Sergey Piletsky, Ewa Moczko
Summary: This article introduces a new analytical method, molecularly imprinted nanoparticles (nanoMIPs), for the detection and determination of prohibited drugs, such as B-blockers, in water and human urine samples. The method offers numerous advantages over traditional methods, including high binding capacity, affinity, and selectivity for target molecules, as well as a simpler, cheaper, and more controlled process.
Article
Chemistry, Analytical
Jose Luis P. Calle, Marta Barea-Sepulveda, Ana Ruiz-Rodriguez, Jose Angel Alvarez, Marta Ferreiro-Gonzalez, Miguel Palma
Summary: This study presents a method combining machine learning models and near-infrared spectroscopy to detect and quantify juice adulteration. The results show the suitability of this method for quality control of fruit juices and a prototype application has been developed for sharing the models with other users.
Article
Environmental Sciences
Hanchen Miao, Ji Zhang, Qingyue Shen, Satoshi Ichise, Yasuhiro Asada, Yuan Tian, Motoo Utsumi, Zhongfang Lei, Zhenya Zhang, Hirokazu Takanashi, Naoshi Fujimoto, Osamu Nishimura, Michihiro Akiba, Kazuya Shimizu
Summary: The study developed PCR and qPCR-based assays to effectively monitor geosmin-producing cyanobacteria in water bodies. The whole-cell PCR and qPCR analysis can accurately assess the abundance of musty odor-producers and predict the onset of musty odor events. These methods are of great importance in ensuring good water quality.
WATER AIR AND SOIL POLLUTION
(2022)
Article
Microbiology
Angela Sun, Paul M. Mirzayans, Andrew M. Piggott, Jo-Ann L. Stanton, Anwar Sunna
Summary: This work builds on a previously developed workflow for rapid and sensitive pathogen detection. It establishes a sample treatment strategy that consistently produces quantification efficiencies (QEs) for Campylobacter jejuni against a complex and highly variable sample matrix from a suburban river. The most effective treatments at minimizing the inhibitory effects of the sample matrix were pH buffering with HEPES and addition of the surfactant Tween 20. The workflow's consistency and scalability make it a suitable alternative to culture-based ISO methods for detecting Campylobacter spp. in environmental water.
FEMS MICROBIOLOGY ECOLOGY
(2023)
Article
Chemistry, Analytical
Chonghui Yang, Yujing Yang, Gaozhen Zhao, Huan Wang, Yang Dai, Xiaowen Huang
Summary: The sensitive and rapid detection of microsamples is crucial for early diagnosis of diseases. We developed a low-cost smartphone-based fluorescence detection device (Smartphone-BFDD) without precision equipment for rapid identification and quantification of biomarkers on glass capillary. The device combines microfluidic technology with RGB image analysis, effectively reducing the sample volume to 20 μL and detection time to only 30 min. This device provides potential applications for different biomarkers and offers wide use for rapid biochemical analysis in biomedical research.