immunomagnetic enrichment
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2021 ◽  
Vol 12 ◽  
Author(s):  
Junshan Gao ◽  
Le Zhang ◽  
Liang Xue ◽  
Weicheng Cai ◽  
Zhiwei Qin ◽  
...  

Human norovirus is a common cause of acute gastroenteritis worldwide, and oysters have been found to be the main carriers for its spread. The lack of efficient pre-treatment methods has been a major bottleneck limiting the detection of viruses in oysters. In this study, we established a novel immunomagnetic enrichment method using polyamidoamine (PAMAM) dendrimer/SA-biotin-mediated cascade amplification for reverse transcriptase quantitative real-time polymerase chain reaction (RT-qPCR) detection. We compared the capture efficiency of traditional immunomagnetic enrichment, biotin-amplified immunomagnetic enrichment, and PAMAM dendrimer/SA-biotin-mediated cascade-amplification immunomagnetic enrichment. The optimal capture efficiency of the novel method was 44.26 ± 1.45%, which increased by 183.17% (P < 0.01) and 18.09% (P < 0.05) compared with the first two methods, respectively. Three methods were all applied in detecting norovirus in 44 retail oysters, the detection rate of the PAMAM dendrimer/SA-biotin-mediated method was 25.0%, which was higher than those of traditional IME (15.90%) and SA-biotin-amplified IME (18.80%) by 9.1 and 6.2%, respectively. In conclusion, the novel method can be applied for the rapid detection of norovirus in oysters, which can help reduce the cost and time of detection and improve detection rates.


Diagnostics ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1020
Author(s):  
Michiel Stevens ◽  
Peng Liu ◽  
Tom Niessink ◽  
Anouk Mentink ◽  
Leon Abelmann ◽  
...  

Due to the low frequency of circulating tumor cells (CTC), the standard CellSearch method of enumeration and isolation using a single tube of blood is insufficient to measure treatment effects consistently, or to steer personalized therapy. Using diagnostic leukapheresis this sample size can be increased; however, this also calls for a suitable new method to process larger sample inputs. In order to achieve this, we have optimized the immunomagnetic enrichment process using a flow-through magnetophoretic system. An overview of the major forces involved in magnetophoretic separation is provided and the model used for optimizing the magnetic configuration in flow through immunomagnetic enrichment is presented. The optimal Halbach array element size was calculated and both optimal and non-optimal arrays were built and tested using anti-EpCAM ferrofluid in combination with cell lines of varying EpCAM antigen expression. Experimentally measured distributions of the magnetic moment of the cell lines used for comparison were combined with predicted recoveries and fit to the experimental data. Resulting predictions agree with measured data within measurement uncertainty. The presented method can be used not only to optimize magnetophoretic separation using a variety of flow configurations but could also be adapted to optimize other (static) magnetic separation techniques.


Author(s):  
Aaron B. Beasley ◽  
Emmanuel Acheampong ◽  
Weitao Lin ◽  
Elin S. Gray

Cancers ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 3525
Author(s):  
Peng Liu ◽  
Pascal Jonkheijm ◽  
Leon W. M. M. Terstappen ◽  
Michiel Stevens

Here, we review the characteristics and synthesis of magnetic nanoparticles (MNPs) and place these in the context of their usage in the immunomagnetic enrichment of Circulating Tumor Cells (CTCs). The importance of the different characteristics is explained, the need for a very specific enrichment is emphasized and different (commercial) magnetic separation techniques are shown. As the specificity of an MNP is in a large part dependent on the antibody coated onto the particle, different strategies in the coupling of specific antibodies as well as an overview of the available antibodies is given.


Talanta ◽  
2019 ◽  
Vol 201 ◽  
pp. 245-252 ◽  
Author(s):  
Hasan Ilhan ◽  
Burcu Guven ◽  
Uzeyir Dogan ◽  
Hilal Torul ◽  
Sefika Evran ◽  
...  

2018 ◽  
Vol 269 ◽  
pp. 375-379 ◽  
Author(s):  
Zhengzong Wu ◽  
Deyun He ◽  
Enbo Xu ◽  
Aiquan Jiao ◽  
Muhammad Farhan Jahangir Chughtai ◽  
...  

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