Signal amplification and quantification on lateral flow assays by laser excitation of plasmonic nanomaterials

Ye, Haihang; Liu, Yaning; Zhan, Li; Liu, Yilin; Qin, Zhenpeng

doi:10.7150/thno.44298

Cited by 71 publications

(70 citation statements)

References 97 publications

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“…Although LFIA allows quick and simple point-of-care diagnosis, their simplicity can limit their performance and in many cases more complex devices are necessary for accurate diagnosis. A limitation commonly reported is their lack of sensitivity, which can be improved by the use of different labels or signal enhancement strategies [ 34 , 35 ]. In addition, often visual colorimetric measurements by naked-eye are not sufficient due to the variation in visual perception or when a more accurate result is required.…”

Section: Lateral Flow Immunoassay Systemsmentioning

confidence: 99%

Extracellular Vesicles: Current Analytical Techniques for Detection and Quantification

et al. 2020

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Since their first observation, understanding the biology of extracellular vesicles (EV) has been an important and challenging field of study. They play a key role in the intercellular communication and are involved in important physiological and pathological functions. Therefore, EV are considered as potential biomarkers for diagnosis, prognosis, and monitoring the response to treatment in some diseases. In addition, due to their properties, EV may be used for therapeutic purposes. In the study of EV, three major points have to be addressed: 1. How to isolate EV from cell culture supernatant/biological fluids, 2. how to detect them, and 3. how to characterize and quantify. In this review, we focus on the last two questions and provide the main analytical techniques up-to-date for detection and profiling of EV. We critically analyze the advantages and disadvantages of each one, aimed to be of relevance for all researchers working on EV biology and their potential applications.

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Section: Lateral Flow Immunoassay Systemsmentioning

confidence: 99%

Extracellular Vesicles: Current Analytical Techniques for Detection and Quantification

et al. 2020

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“…Most cancer cells are characterized by unstable chromosome numbers. 121 p53 protein can interact with a variety of lncRNAs, maintain cell chromosome stability, and regulate cell fate. 122 Similarly, p53 protein can be regulated by lncRNAs.…”

Section: Main Textmentioning

confidence: 99%

Targeting Long Non-coding RNA to Therapeutically Regulate Gene Expression in Cancer

Shi

Liu

et al. 2020

Molecular Therapy - Nucleic Acids

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Long-chain non-coding RNAs (lncRNAs) are RNA molecules with a length greater than 200 nt and no function of encoding proteins. lncRNAs play a precise regulatory function at different levels of transcription and post-transcription, and they interact with various regulatory factors to regulate gene expression, and then participate in cell growth, differentiation, apoptosis, and other life processes. In recent years, studies have shown that the abnormal expression of lncRNAs is closely related to the occurrence and development of tumors, which is expected to become an effective biomarker in tumor diagnosis. The sequencing analysis of mutations in the whole tumor genome suggests that mutations in non-coding regions may play an important role in the occurrence and development of tumors. Therefore, in-depth study of lncRNAs is helpful to clarify the molecular mechanism of tumor occurrence and development and to provide new targets for tumor diagnosis and treatment. This review introduces the molecular mechanism and clinical application prospect of lncRNAs affecting tumor development from the perspective of gene expression and regulation.

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“…Current diagnostic methods have three main approaches: nucleic acid amplification tests (NAATs), antigen-directed virus detection, and serological assays [2] , [3] , [4] . Among them, rapid antigen diagnostic tests, usually based on lateral flow device (LFD), have expanded widely due to its inexpensive, fast, qualitative and point-of-care testing [5] , [6] . Although LFD demonstrates fast detection, the accuracy and sensitivity are limited compared to the NAATs.…”

Section: Introductionmentioning

confidence: 99%

“…To improve the reliability of LFD, attentions are paid to focus on the ligand–receptor binding (LRB) process [2] , [5] , [6] , [7] , [8] . In LFD analysis, the viruses are usually modeled as nanoparticles (NPs) coated with ligands on the surface, as presented in Fig.…”

Section: Introductionmentioning

confidence: 99%

Adhesive rolling of nanoparticles in a lateral flow inspired from diagnostics of COVID-19

Shen

Liu

2021

Extreme Mechanics Letters

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Due to the lack of therapeutics and vaccines, diagnostics of COVID-19 emerges as one of the primary tools for controlling the spread of SARS-COV-2. Here we aim to develop a theoretical model to study the detection process of SARS-COV-2 in lateral flow device (LFD), which can achieve rapid antigen diagnostic tests. The LFD is modeled as the adhesion of a spherical nanoparticle (NP) coated with ligands on the surface, mimicking the SARS-COV-2, on an infinite substrate distributed with receptors under a simple shear flow. The adhesive behaviors of NPs in the LFD are governed by the ligand receptor binding (LRB) and local hydrodynamics. Through energy balance analysis, three types of motion are predicted: (i) firm-adhesion (FA); (ii) adhesive-rolling (AR); and (iii) free-rolling (FR), which correspond to LRB-dominated, LRB-hydrodynamics-competed, and hydrodynamics-dominated regimes, respectively. The transitions of FA-to-AR and AR-to-FR are found to be triggered by overcoming LRB barrier and saturation of LRB torque, respectively. Most importantly, in the AR regime, the smaller NPs can move faster than their larger counterparts, induced by the LRB effect that depends on the radius of NPs. In addition, a scaling law is found in the AR regime that (rolling velocity and shear rate ), with an approximate scaling factor identified through fitting both theoretical and numerical results. The scaling factor emerges from the energy-based stochastic LRB model, and is confirmed to be universal by examining selections of different LRB model parameters. This size-dependent rolling behavior under the control of flow strength may provide the theoretical guidance for designing efficient LFD in detecting infectious disease.

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Signal amplification and quantification on lateral flow assays by laser excitation of plasmonic nanomaterials

Cited by 71 publications

References 97 publications

Extracellular Vesicles: Current Analytical Techniques for Detection and Quantification

Extracellular Vesicles: Current Analytical Techniques for Detection and Quantification

Targeting Long Non-coding RNA to Therapeutically Regulate Gene Expression in Cancer

Adhesive rolling of nanoparticles in a lateral flow inspired from diagnostics of COVID-19

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