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However, a long\u2010term challenge is to achieve rapid and accurate early diagnosis of AD by detecting hallmarks such as amyloid beta (A\u03b2<jats:sub>42<\/jats:sub>). Here, a multi\u2010channel microfluidic\u2010based plasmonic fiber\u2010optic biosensing platform is established for simultaneous detection and differentiation of multiple AD biomarkers. The platform is based on a gold\u2010coated, highly\u2010tilted fiber Bragg grating (TFBG) and a custom\u2010developed microfluidics. TFBG excites a high\u2010density, narrow\u2010cladding\u2010mode spectral comb that overlaps with the broad absorption of surface plasmons for high\u2010precision interrogation, enabling ultrasensitive monitoring of analytes. In situ detection and in\u2010parallel discrimination of different forms of A\u03b2<jats:sub>42<\/jats:sub> in cerebrospinal fluid (CSF) are successfully demonstrated with a detection of limit in the range of \u224830\u2013170 pg mL<jats:sup>\u22121<\/jats:sup>, which is one order of magnitude below the clinical cut\u2010off level in AD onset, providing high detection sensitivity for early diagnosis of AD. The integration of the TFBG sensor with multi\u2010channel microfluidics enables simultaneous detection of multiple biomarkers using sub\u2010\u00b5L sample volumes, as well as combining initial binding rate and real\u2010time response time to differentiate between multiple biomarkers in terms of binding kinetics. With the advantages of multi\u2010parameter, low consumption, and highly sensitive detection, the sensor represents an urgently needed potentials for large\u2010scale diagnosis of diseases at early\u00a0stage.<\/jats:p>","DOI":"10.1002\/advs.202308783","type":"journal-article","created":{"date-parts":[[2024,3,21]],"date-time":"2024-03-21T00:39:15Z","timestamp":1710981555000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":57,"title":["Ultrasensitive and Multiple Biomarker Discrimination for Alzheimer's Disease via Plasmonic &amp; Microfluidic Sensing Technologies"],"prefix":"10.1002","volume":"11","author":[{"given":"Lijiao","family":"Zu","sequence":"first","affiliation":[{"name":"Institute of Photonics Technology Jinan University  Guangzhou 510632 China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xicheng","family":"Wang","sequence":"additional","affiliation":[{"name":"Institute of Photonics Technology 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