TY - JOUR
T1 - Portable non-enzymatic electrochemical biosensor based on caffeine for Alzheimer's disease diagnosis
AU - Zhang, Xindan
AU - Wang, Audrey
AU - Wang, Chaojie
AU - Tang, Xiaoying
AU - Jiang, Zhenqi
AU - Qin, Jieling
N1 - Publisher Copyright:
© 2023 The Authors. VIEW published by Shanghai Fuji Technology Consulting Co., Ltd, authorized by Professional Community of Experimental Medicine, National Association of Health Industry and Enterprise Management (PCEM) and John Wiley & Sons Australia, Ltd.
PY - 2023/12
Y1 - 2023/12
N2 - 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.
AB - 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.
KW - amyloid beta oligomer
KW - electrochemical impedance biosensor
KW - non-enzymatic caffeine
KW - pine PTAA
KW - portable meter detection
UR - http://www.scopus.com/inward/record.url?scp=85174042186&partnerID=8YFLogxK
U2 - 10.1002/VIW.20230052
DO - 10.1002/VIW.20230052
M3 - Article
AN - SCOPUS:85174042186
SN - 2688-3988
VL - 4
JO - VIEW
JF - VIEW
IS - 6
M1 - 20230052
ER -