Portable non‐enzymatic electrochemical biosensor based on caffeine for Alzheimer's disease diagnosis

Abstract Caffeine and its derivatives can effectively bind amyloid beta 16–22 (Aβ16–22) fragment of amyloid beta 1–42 (Aβ1–42), a biomarker for the early diagnosis of Alzheimer's disease (AD), by means of conformation selection, π–π stacking, van der Waals forces, and hydrogen bonding, so as to...

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Main Authors: Xindan Zhang, Audrey Wang, Chaojie Wang, Xiaoying Tang, Zhenqi Jiang, Jieling Qin
Format: Article
Language:English
Published: Wiley 2023-12-01
Series:View
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Online Access:https://doi.org/10.1002/VIW.20230052
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author Xindan Zhang
Audrey Wang
Chaojie Wang
Xiaoying Tang
Zhenqi Jiang
Jieling Qin
author_facet Xindan Zhang
Audrey Wang
Chaojie Wang
Xiaoying Tang
Zhenqi Jiang
Jieling Qin
author_sort Xindan Zhang
collection DOAJ
description Abstract Caffeine and its derivatives can effectively bind amyloid beta 16–22 (Aβ16–22) fragment of amyloid beta 1–42 (Aβ1–42), a biomarker for the early diagnosis of Alzheimer's disease (AD), by means of conformation selection, π–π stacking, van der Waals forces, and hydrogen bonding, so as to achieve high specificity and quantitative detection of Aβ1–42. In this study, 3‐mercaptopropionic acid (MPA), conductive polymer poly(thiophene‐3‐acetic acid) (PTAA), and pine‐like/Au pine PTAA (pine PTAA) were applied to modify the electrodes, and the non‐enzymatic caffeine was used as specific biorecognition element to study the analytical performance of the electrochemical sensor platform for Aβ1–42 oligomer (AβO). It was found that caffeine/pine PTAA‐based sensor with large surface area, high active sites, and excellent electrical conductivity demonstrated the widest linear range (10−8 to 100 nM) and highest sensitivity (743.77 Ω/log nM) in comparison. The prepared caffeine‐based sensor was afterward applied to cerebrospinal fluid and blood tests for real sample analysis, demonstrating its potential for practical use in detecting AβO at the attomolar level. Furthermore, the non‐enzymatic caffeine was constructed on the pine‐like PTAA‐modified screen‐printed electrodes for the rapid detection of AβO using portable meter.
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spelling doaj.art-ca9370853a96499b86f3f7b7199f2b6b2023-12-21T10:46:41ZengWileyView2688-39882688-268X2023-12-0146n/an/a10.1002/VIW.20230052Portable non‐enzymatic electrochemical biosensor based on caffeine for Alzheimer's disease diagnosisXindan Zhang0Audrey Wang1Chaojie Wang2Xiaoying Tang3Zhenqi Jiang4Jieling Qin5Tongji University Cancer Center, Shanghai Tenth People's Hospital, Shanghai Frontiers Science Center of Nanocatalytic Medicine, School of Medicine, Tongji UniversityShanghaiChinaTongji University Cancer Center, Shanghai Tenth People's Hospital, Shanghai Frontiers Science Center of Nanocatalytic Medicine, School of Medicine, Tongji UniversityShanghaiChinaTongji University Cancer Center, Shanghai Tenth People's Hospital, Shanghai Frontiers Science Center of Nanocatalytic Medicine, School of Medicine, Tongji UniversityShanghaiChinaSchool of Medical Technology, Beijing Institute of TechnologyBeijingChinaSchool of Medical Technology, Beijing Institute of TechnologyBeijingChinaTongji University Cancer Center, Shanghai Tenth People's Hospital, Shanghai Frontiers Science Center of Nanocatalytic Medicine, School of Medicine, Tongji UniversityShanghaiChinaAbstract Caffeine and its derivatives can effectively bind amyloid beta 16–22 (Aβ16–22) fragment of amyloid beta 1–42 (Aβ1–42), a biomarker for the early diagnosis of Alzheimer's disease (AD), by means of conformation selection, π–π stacking, van der Waals forces, and hydrogen bonding, so as to achieve high specificity and quantitative detection of Aβ1–42. In this study, 3‐mercaptopropionic acid (MPA), conductive polymer poly(thiophene‐3‐acetic acid) (PTAA), and pine‐like/Au pine PTAA (pine PTAA) were applied to modify the electrodes, and the non‐enzymatic caffeine was used as specific biorecognition element to study the analytical performance of the electrochemical sensor platform for Aβ1–42 oligomer (AβO). It was found that caffeine/pine PTAA‐based sensor with large surface area, high active sites, and excellent electrical conductivity demonstrated the widest linear range (10−8 to 100 nM) and highest sensitivity (743.77 Ω/log nM) in comparison. The prepared caffeine‐based sensor was afterward applied to cerebrospinal fluid and blood tests for real sample analysis, demonstrating its potential for practical use in detecting AβO at the attomolar level. Furthermore, the non‐enzymatic caffeine was constructed on the pine‐like PTAA‐modified screen‐printed electrodes for the rapid detection of AβO using portable meter.https://doi.org/10.1002/VIW.20230052amyloid beta oligomerelectrochemical impedance biosensornon‐enzymatic caffeinepine PTAAportable meter detection
spellingShingle Xindan Zhang
Audrey Wang
Chaojie Wang
Xiaoying Tang
Zhenqi Jiang
Jieling Qin
Portable non‐enzymatic electrochemical biosensor based on caffeine for Alzheimer's disease diagnosis
View
amyloid beta oligomer
electrochemical impedance biosensor
non‐enzymatic caffeine
pine PTAA
portable meter detection
title Portable non‐enzymatic electrochemical biosensor based on caffeine for Alzheimer's disease diagnosis
title_full Portable non‐enzymatic electrochemical biosensor based on caffeine for Alzheimer's disease diagnosis
title_fullStr Portable non‐enzymatic electrochemical biosensor based on caffeine for Alzheimer's disease diagnosis
title_full_unstemmed Portable non‐enzymatic electrochemical biosensor based on caffeine for Alzheimer's disease diagnosis
title_short Portable non‐enzymatic electrochemical biosensor based on caffeine for Alzheimer's disease diagnosis
title_sort portable non enzymatic electrochemical biosensor based on caffeine for alzheimer s disease diagnosis
topic amyloid beta oligomer
electrochemical impedance biosensor
non‐enzymatic caffeine
pine PTAA
portable meter detection
url https://doi.org/10.1002/VIW.20230052
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AT chaojiewang portablenonenzymaticelectrochemicalbiosensorbasedoncaffeineforalzheimersdiseasediagnosis
AT xiaoyingtang portablenonenzymaticelectrochemicalbiosensorbasedoncaffeineforalzheimersdiseasediagnosis
AT zhenqijiang portablenonenzymaticelectrochemicalbiosensorbasedoncaffeineforalzheimersdiseasediagnosis
AT jielingqin portablenonenzymaticelectrochemicalbiosensorbasedoncaffeineforalzheimersdiseasediagnosis