2021
DOI: 10.3389/fcimb.2021.762472
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Rapid Detection of Cysticercus cellulosae by an Up-Converting Phosphor Technology-Based Lateral-Flow Assay

Abstract: Cysticercosis is a neglected tropical disease caused by the larvae of Taenia solium in pigs and humans. The current diagnosis of porcine cysticercosis is difficult, and traditional pathological tests cannot meet the needs of detection. This study established a UPT-LF assay for the detection of Cysticercus cellulosae. UCP particles were bound to two antigens, TSOL18 and GP50; samples were captured, and the signal from the UCP particles was converted into a detectable signal for analysis using a biosensor. Compa… Show more

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Cited by 5 publications
(6 citation statements)
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“…The sensitivity of the ICS method exhibits 1% increase when compared to the LFA method [ 22 ]. Not only does ICS demonstrate exceptional detection results, but it also offers a more cost-effective alternative to LFA.…”
Section: Discussionmentioning
confidence: 99%
See 3 more Smart Citations
“…The sensitivity of the ICS method exhibits 1% increase when compared to the LFA method [ 22 ]. Not only does ICS demonstrate exceptional detection results, but it also offers a more cost-effective alternative to LFA.…”
Section: Discussionmentioning
confidence: 99%
“…The same batch of negative (10) and positive serums (10) was tested at different time points and two temperatures (4 and 25 ℃) and each test had three replicates. The results at different time points were compared with the initial results to calculate the relative deviation: a relative deviation of less than 15% was accepted [ 22 ].…”
Section: Methodsmentioning
confidence: 99%
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“…However, the traditional AuNPs-based LFIA has limitations in high-sensitivity quantification. Varied novel nanoparticles, such as quantum dots [ 22 ], fluorescent microspheres [ 23 ], magnetic nanoparticles [ 24 ], and up-conversion phosphorescent nanoparticles [ 25 ], have been used as reporters in LFIA to break through the limitation. Among them, fluorescence microspheres suffer from narrow Stokes shift, strong background signals, and photobleaching, influencing the accuracy and sensitivity of detection results [ 26 ].…”
Section: Introductionmentioning
confidence: 99%