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An Enhanced Platform to Analyse Low-Affinity Amyloid β Protein by Integration of Electrical Detection and Preconcentrator
Sensitivity and limit of detection (LOD) enhancement are essential criteria for the development of ultrasensitive molecular sensors. Although various sensor types have been investigated to enhance sensitivity and LOD, analyte detection and its quantification are still challenging, particularly for p...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5662786/ https://www.ncbi.nlm.nih.gov/pubmed/29084978 http://dx.doi.org/10.1038/s41598-017-14338-4 |
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author | Yoo, Yong Kyoung Yoon, Dae Sung Kim, Gangeun Kim, Jinsik Han, Sung Il Lee, Junwoo Chae, Myung-Sic Lee, Sang-Myung Lee, Kyu Hyoung Hwang, Kyo Seon Lee, Jeong Hoon |
author_facet | Yoo, Yong Kyoung Yoon, Dae Sung Kim, Gangeun Kim, Jinsik Han, Sung Il Lee, Junwoo Chae, Myung-Sic Lee, Sang-Myung Lee, Kyu Hyoung Hwang, Kyo Seon Lee, Jeong Hoon |
author_sort | Yoo, Yong Kyoung |
collection | PubMed |
description | Sensitivity and limit of detection (LOD) enhancement are essential criteria for the development of ultrasensitive molecular sensors. Although various sensor types have been investigated to enhance sensitivity and LOD, analyte detection and its quantification are still challenging, particularly for protein-protein interactions with low association constants. To solve this problem, here, we used ion concentration polarization (ICP)-based preconcentration to increase the local concentration of analytes in a microfluidic platform for LOD improvement. This was the first demonstration of a microfluidic device with an integrated ICP preconcentrator and interdigitated microelectrode (IME) sensor to detect small changes in surface binding between antigens and antibodies. We detected the amyloid beta (Aβ) protein, an Alzheimer’s disease marker, with low binding affinity to its antibodies by adopting ICP preconcentration phenomena. We demonstrated that a combination of ICP preconcentrator and IME sensor increased the LOD by 13.8-fold to femtomolar level (8.15 fM), which corresponds to a significant advance for clinical applications. |
format | Online Article Text |
id | pubmed-5662786 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-56627862017-11-08 An Enhanced Platform to Analyse Low-Affinity Amyloid β Protein by Integration of Electrical Detection and Preconcentrator Yoo, Yong Kyoung Yoon, Dae Sung Kim, Gangeun Kim, Jinsik Han, Sung Il Lee, Junwoo Chae, Myung-Sic Lee, Sang-Myung Lee, Kyu Hyoung Hwang, Kyo Seon Lee, Jeong Hoon Sci Rep Article Sensitivity and limit of detection (LOD) enhancement are essential criteria for the development of ultrasensitive molecular sensors. Although various sensor types have been investigated to enhance sensitivity and LOD, analyte detection and its quantification are still challenging, particularly for protein-protein interactions with low association constants. To solve this problem, here, we used ion concentration polarization (ICP)-based preconcentration to increase the local concentration of analytes in a microfluidic platform for LOD improvement. This was the first demonstration of a microfluidic device with an integrated ICP preconcentrator and interdigitated microelectrode (IME) sensor to detect small changes in surface binding between antigens and antibodies. We detected the amyloid beta (Aβ) protein, an Alzheimer’s disease marker, with low binding affinity to its antibodies by adopting ICP preconcentration phenomena. We demonstrated that a combination of ICP preconcentrator and IME sensor increased the LOD by 13.8-fold to femtomolar level (8.15 fM), which corresponds to a significant advance for clinical applications. Nature Publishing Group UK 2017-10-30 /pmc/articles/PMC5662786/ /pubmed/29084978 http://dx.doi.org/10.1038/s41598-017-14338-4 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Yoo, Yong Kyoung Yoon, Dae Sung Kim, Gangeun Kim, Jinsik Han, Sung Il Lee, Junwoo Chae, Myung-Sic Lee, Sang-Myung Lee, Kyu Hyoung Hwang, Kyo Seon Lee, Jeong Hoon An Enhanced Platform to Analyse Low-Affinity Amyloid β Protein by Integration of Electrical Detection and Preconcentrator |
title | An Enhanced Platform to Analyse Low-Affinity Amyloid β Protein by Integration of Electrical Detection and Preconcentrator |
title_full | An Enhanced Platform to Analyse Low-Affinity Amyloid β Protein by Integration of Electrical Detection and Preconcentrator |
title_fullStr | An Enhanced Platform to Analyse Low-Affinity Amyloid β Protein by Integration of Electrical Detection and Preconcentrator |
title_full_unstemmed | An Enhanced Platform to Analyse Low-Affinity Amyloid β Protein by Integration of Electrical Detection and Preconcentrator |
title_short | An Enhanced Platform to Analyse Low-Affinity Amyloid β Protein by Integration of Electrical Detection and Preconcentrator |
title_sort | enhanced platform to analyse low-affinity amyloid β protein by integration of electrical detection and preconcentrator |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5662786/ https://www.ncbi.nlm.nih.gov/pubmed/29084978 http://dx.doi.org/10.1038/s41598-017-14338-4 |
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