Rapid Monitoring of Vancomycin Concentration in Serum Using Europium (III) Chelate Nanoparticle-Based Lateral Flow Immunoassay

Establishing personalized medication plans for patients to maximize therapeutic efficacy and minimize the toxicity of vancomycin (VAN) requires rapid, simple, and accurate monitoring of VAN concentration in body fluid. In this study, we have developed a simple and rapid analytical method by integrating Eu (III) chelate nanoparticles (CN-EUs) and lateral flow immunoassay (LFIA) to achieve the real-time monitoring of VAN concentration in serum within 15 min. This approach was performed on nitrocellulose (NC) membrane assembled LFIA strips via indirect competitive immunoassay and exhibited a wide linear range of detection (0.1–80 μg*ml−1) with a low limit of detection (69.2 ng*ml−1). The coefficients of variation (CV) of the intra- and inter-assay in the detection of VAN were 7.12–8.53% and 8.46–11.82%, respectively. The dilution test and specificity indicated this method had a stability that was not affected by the serum matrix and some other antibiotics. Furthermore, the applicability of the proposed method was assessed by comparing the determined results with those measured by LC-MS/MS, showing a satisfactory correlation (R2 = 0.9713). The proposed CN-EUs-based LFIA manifested promising analytical performance, which showed potential value in the real-time monitoring of VAN and could help optimize the clinical use of more antibiotics.

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Development and validation of the isothermal recombinase polymerase amplification assays for rapid detection of Mycoplasma ovipneumoniae

10.21203/rs.3.rs-17865/v2 ◽

2020 ◽

Author(s):

Jinfeng Wang ◽

Ruiwen Li ◽

Xiaoxia Sun ◽

Libing Liu ◽

Xuepiao Hao ◽

...

Keyword(s):

Real Time ◽

Real Time Pcr ◽

Limit Of Detection ◽

Lateral Flow ◽

Recombinase Polymerase Amplification ◽

Metal Bath ◽

Lateral Flow Strip ◽

The Real ◽

Mycoplasmal Pneumonia ◽

Mycoplasma Ovipneumoniae

Abstract Background: Mycoplasmal pneumonia is an important infectious disease that threatens sheep and goat production worldwide, and Mycoplasma ovipneumoniae is one of major etiological agent causing mycoplasmal pneumonia. Recombinase polymerase amplification (RPA) is an isothermal nucleic acid amplification technique, and RPA-based diagnostic assays have been described for the detection of different types of pathogens. Results: The RPA assays using real-time fluorescence detection (real-time RPA) and lateral flow strip detection (LFS RPA) were developed to detect M. ovipneumoniae targeting a conserved region of the 16S rRNA gene. Real-time RPA was performed in a portable florescence scanner at 39 °C for 20 min. LFS RPA was performed in a portable metal bath incubator at 39 °C for 15 min, and the amplicons were visualized with the naked eyes within 5 min on the lateral flow strip. Both assays were highly specific for M. ovipneumoniae , as there were no cross-reactions with other microorganisms tested, especially the pathogens involved in respiratory complex and other mycoplasmas frequently identified in ruminant s . The limit of detection of LFS RPA assay was 1.0×10 1 copies per reaction using a recombinant plasmid containing target gene as template, which is 10 times lower than the limit of detection of the real-time RPA and real-time PCR assays. The RPA assays were further validated on 111 clinical sheep nasal swab and fresh lung samples, and M. ovipneumoniae DNA was detected in 29 samples in the real-time RPA, 31 samples in the LFS RPA and 32 samples in the real-time PCR assay. Compared to real-time PCR, the real-time RPA and LFS RPA showed diagnostic specificity of 100% and 98.73%, diagnostic sensitivity of 90.63% and 93.75%, and a kappa coefficient of 0.932 and 0.934, respectively. Conclusions: The developed real-time RPA and LFS RPA assays provide the attractive and promising tools for rapid, convenient and reliable detection of M. ovipneumoniae , especially in resource-limited settings.

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Development and validation of the isothermal recombinase polymerase amplification assays for rapid detection of Mycoplasma ovipneumoniae

10.21203/rs.3.rs-17865/v1 ◽

2020 ◽

Author(s):

Jinfeng Wang ◽

Ruiwen Li ◽

Xiaoxia Sun ◽

Libing Liu ◽

Xuepiao Hao ◽

...

Keyword(s):

Real Time ◽

Real Time Pcr ◽

Limit Of Detection ◽

Lateral Flow ◽

Recombinase Polymerase Amplification ◽

Metal Bath ◽

Lateral Flow Strip ◽

The Real ◽

Mycoplasmal Pneumonia ◽

Mycoplasma Ovipneumoniae

Abstract Background Mycoplasmal pneumonia is an important infectious disease that threatens sheep and goat production worldwide, and Mycoplasma ovipneumoniae is one of major etiological agent causing mycoplasmal pneumonia. It is an urgent need to develop a rapid and accurate method to detect M. ovipneumoniae . Recombinase polymerase amplification (RPA) is an isothermal nucleic acid amplification technique, and RPA-based diagnostic assays have been described for the detection of different types of pathogens. Results The RPA assays using real-time fluorescence detection (real-time RPA) and lateral flow strip detection (LFS RPA) were developed to detect M. ovipneumoniae targeting a conserved region of the 16SrRNA gene. Real-time RPA was performed in a portable florescence scanner at 39 °C for 20 min. LFS RPA was performed in a portable metal bath incubator at 39 °C for 15 min, and the amplicons were visualized with the naked eyes within 5 min on the lateral flow strip. Both assays were highly specific for M. ovipneumoniae , as there were no cross-reactions with other pathogens tested, especially the M. capricolum subsp. capripneumoniae . The limit of detection of LFS RPA assay was 1.0×10 1 copies per reaction using a recombinant plasmid containing target gene as template, which is 10 times higher than the limit of detection of the real-time RPA and real-time PCR assays. The RPA assays were further validated on 46 clinical sheep nasal swab and fresh lung samples, and M. ovipneumoniae DNA was detected in 17 samples in the RPA assays and 19 samples in the real-time PCR assay. The real-time RPA and LFS RPA showed diagnostic specificity of 100%, diagnostic sensitivity of 89.47%, and a kappa coefficient of 0.909. Conclusions The developed real-time RPA and LFS RPA assays provide the attractive and promising tools for rapid, convenient and reliable detection of M. ovipneumoniae , especially in resource-limited settings.

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Multi-Quantum Dots-Embedded Silica-Encapsulated Nanoparticle-Based Lateral Flow Assay for Highly Sensitive Exosome Detection

Nanomaterials ◽

10.3390/nano11030768 ◽

2021 ◽

Vol 11 (3) ◽

pp. 768

Author(s):

Hyung-Mo Kim ◽

Chiwoo Oh ◽

Jaehyun An ◽

Seungki Baek ◽

Sungje Bock ◽

...

Keyword(s):

Quantum Dots ◽

Limit Of Detection ◽

Specific Binding ◽

Calf Serum ◽

Lateral Flow ◽

Lateral Flow Immunoassay ◽

Uniform Size ◽

Highly Sensitive ◽

Wide Range ◽

New Biomarkers

Exosomes are attracting attention as new biomarkers for monitoring the diagnosis and prognosis of certain diseases. Colorimetric-based lateral-flow assays have been previously used to detect exosomes, but these have the disadvantage of a high limit of detection. Here, we introduce a new technique to improve exosome detection. In our approach, highly bright multi-quantum dots embedded in silica-encapsulated nanoparticles (M–QD–SNs), which have uniform size and are brighter than single quantum dots, were applied to the lateral flow immunoassay method to sensitively detect exosomes. Anti-CD63 antibodies were introduced on the surface of the M–QD–SNs, and a lateral flow immunoassay with the M–QD–SNs was conducted to detect human foreskin fibroblast (HFF) exosomes. Exosome samples included a wide range of concentrations from 100 to 1000 exosomes/µL, and the detection limit of our newly designed system was 117.94 exosome/μL, which was 11 times lower than the previously reported limits. Additionally, exosomes were selectively detected relative to the negative controls, liposomes, and newborn calf serum, confirming that this method prevented non-specific binding. Thus, our study demonstrates that highly sensitive and quantitative exosome detection can be conducted quickly and accurately by using lateral immunochromatographic analysis with M–QD–SNs.

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Observing the real time formation of phosphine-ligated gold clusters by electrospray ionization mass spectrometry

Physical Chemistry Chemical Physics ◽

10.1039/c7cp01402c ◽

2017 ◽

Vol 19 (26) ◽

pp. 17187-17198 ◽

Cited By ~ 11

Author(s):

Marshall R. Ligare ◽

Grant E. Johnson ◽

Julia Laskin

Keyword(s):

Mass Spectrometry ◽

Electrospray Ionization ◽

Real Time ◽

Electrospray Ionization Mass Spectrometry ◽

Gold Cluster ◽

Gold Clusters ◽

Ionization Mass Spectrometry ◽

Ionization Mass ◽

Real Time Monitoring ◽

The Real

Real-time monitoring of the gold cluster synthesis by electrospray ionization mass spectrometry reveals distinct formation pathways for Au8, Au9 and Au10 clusters.

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A Study of Detecting Broken Rail using the Real-time Monitoring System

Journal of the Korean Society of Safety ◽

10.14346/jkosos.2013.28.4.001 ◽

2013 ◽

Vol 28 (4) ◽

pp. 1-7

Author(s):

Tae Geon Kim ◽

Beom Gyu Eom ◽

Hi Sung Lee

Keyword(s):

Real Time ◽

Monitoring System ◽

Real Time Monitoring ◽

The Real

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The Real-Time Monitoring System of Social Big Data for Disaster Management

Computer Science and its Applications - Lecture Notes in Electrical Engineering ◽

10.1007/978-3-662-45402-2_115 ◽

2015 ◽

pp. 809-815 ◽

Cited By ~ 15

Author(s):

Seonhwa Choi ◽

Byunggul Bae

Keyword(s):

Big Data ◽

Real Time ◽

Monitoring System ◽

Disaster Management ◽

Real Time Monitoring ◽

The Real ◽

Social Big Data

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A Novel Hash Chain-Based Data Availability Monitoring Method for Off-site Disaster Recovery Architecture

Journal of Circuits System and Computers ◽

10.1142/s0218126621502947 ◽

2021 ◽

pp. 2150294

Author(s):

Neng Huang ◽

Junxing Zhu ◽

Chaonian Guo ◽

Shuhan Cheng ◽

Xiaoyong Li

Keyword(s):

Information Systems ◽

Real Time ◽

Data Center ◽

Disaster Recovery ◽

Distributed Storage ◽

Data Availability ◽

Data Consistency ◽

Real Time Monitoring ◽

The Real ◽

Hash Chain

With the rapid development of mobile Internet, there is a higher demand for the real-time, reliability and availability of information systems and to prevent the possible systemic risks of information systems, various business consistency standards and regulatory guidelines have been published, such as Recovery Time Object (RTO) and Recovery Point Object (RPO). Some of the current related researches focus on the standards, methods, management tools and technical frameworks of business consistency, while others study the data consistency algorithms in the cases of large data, cloud computing and distributed storage. However, few researchers have studied on how to monitor the data consistency and RPO of production-disaster recovery, and what architecture and technology should be applied in the monitoring. Moreover, in some information systems, due to the complex structures and distributions of data, it is difficult for traditional methods to quickly detect and accurately locate the first error data. Besides, due to the separation of production data center (PDC) and disaster recovery data center (DRDC), it is difficult to calculate the data difference and RPO between the two centers. This paper first discusses the architecture of remote distributed DRDCs. The architecture can make the disaster recovery (DR) system always online and the data always readable, and support the real-time monitoring of data availability, consistency as well as other related indicators, in this way to make DRDC out-of-the-box in disasters. Second, inspired by blockchain, this paper proposes a method to realize real-time monitoring of data consistency and RTO by building hash chains for PDC and DRDC. Third, this paper evaluates the hash chain operations from the algorithm time complexity, the data consistency, and the validity of RPO monitoring algorithms and since DR system is actually a kind of distributed system, the proposed approach can also be applied to the data consistency detection and data difference monitoring in other distributed systems.

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