Evidence map›Paper›PMID 34736099›Full record

ArticleBiosensors & bioelectronics2022

Acoustofluidic multimodal diagnostic system for Alzheimer's disease.

Nanjing Hao, Zeyu Wang, Pengzhan Liu, Ryan Becker, Shujie Yang, Kaichun Yang, Zhichao Pei, Peiran Zhang, Jianping Xia, Liang Shen and 5 more

Open access · greenAbstract read
In one paragraph

Article in Biosensors & bioelectronics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.7field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 61 citations in OpenAlex.

  1. Review
  2. Review
  3. Acoustofluidic Biosensors.Micromachines · 2026
    Review
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  7. Article
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  10. Article
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  13. Review
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  16. Acoustics-Actuated Microrobots.Micromachines · 2022
    Review
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  18. Article
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  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 4 institutions in 2 countries.

Nanjing HaoThomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA.
Zeyu WangThomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA.
Pengzhan LiuThomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA.
Ryan BeckerDepartment of Biomedical Engineering, Duke University, Durham, NC, 27708, USA.
Shujie YangThomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA.
Kaichun YangThomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA.
Zhichao PeiThomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA.
Peiran ZhangThomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA.
Jianping XiaThomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA.
Liang ShenThomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA.
Lin WangAscent Bio-Nano Technologies, Inc., Morrisville, NC, 27560, USA.
Kathleen A Welsh-BohmerDepartment of Psychiatry, Duke University, Durham, NC, 27708, USA.
Laurie SandersDepartment of Neurology, Duke University Medical Center, Durham, NC, 27710, USA.
Luke P LeeRenal Division and Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA; Department of Bioengineering, Department of Electrical Engineering and Computer Science, University of California at Berkeley, Berkeley, CA, 94720, USA; Institute of Quantum Biophysics, Department of Biophysics, Sungkyunkwan University, Suwon, 16419, South Korea.
Tony Jun HuangThomas Lord Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA. Electronic address: tony.huang@duke.edu.
Duke University · USAscent Bio-Nano Technologies (United States) · USBrigham and Women's Hospital · USDuke Medical Center · US

Funding

TREATMENT OF DEPRESSION IN ALZHEIMER'S DISEASEP50AG005133 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KAMBOH, M. ILYAS · 1985 to 2019
$43.0M
AFS/SERS Saliva-based SARS-CoV-2 Earliest Infection and Antibodies DetectionU18TR003778 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HUANG, TONY JUN, KIM, YONG · 2021 to 2022
$1.8M
Integrated Acoustofluidic Plasmonic Molecular Diagnostic System for Detecting MicroRNA BiomarkersR01GM135486 · NIGMS · DUKE UNIVERSITY · PI VO-DINH, TUAN · 2020 to 2023
$1.8M
Acoustofluidic Separation (AFS), Purification and Raman Spectral Fingerprinting of Single EVs: From Cell of Origin to Target Cell and BiofluidsUH3TR002978 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GALL, KENNETH A, HUANG, TONY JUN · 2021 to 2022
$1.8M
Enabling Efficient, Fast, Biocompatible Exosome Separation via AcoustofluidicsR01GM132603 · NIGMS · DUKE UNIVERSITY · PI HUANG, TONY JUN · 2019 to 2022
$1.7M
Acoustofluidic Separation (AFS), Purification and Raman Spectral Fingerprinting of Single EVs: From Cell of Origin to Target Cell and BiofluidsUG3TR002978 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI AN, JI YEONG, GALL, KENNETH A · 2019 to 2020
$823k
An acoustofluidic device for diagnosing preclinical Alzheimer's diseaseR43AG063643 · NIA · ASCENT BIO-NANO TECHNOLOGIES, INC. · PI WANG, LIN · 2019 to 2019
$225k
NCATS NIH HHS U18 TR003778NCATS NIH HHS UG3 TR002978NCATS NIH HHS UH3 TR002978NIA NIH HHS P50 AG005133NIA NIH HHS R43 AG063643NIGMS NIH HHS R01 GM132603NIGMS NIH HHS R01 GM135486
6 · The paper itself

Abstract

Alzheimer's disease (AD) is a progressive and irreversible neurodegenerative brain disorder that affects tens of millions of older adults worldwide and has significant economic and societal impacts. Despite its prevalence and severity, early diagnosis of AD remains a considerable challenge. Here we report an integrated acoustofluidics-based diagnostic system (ADx), which combines triple functions of acoustics, microfluidics, and orthogonal biosensors for clinically accurate, sensitive, and rapid detection of AD biomarkers from human plasma. We design and fabricate a surface acoustic wave-based acoustofluidic separation device to isolate and purify AD biomarkers to increase the signal-to-noise ratio. Multimodal biosensors within the integrated ADx are fabricated by in-situ patterning of the ZnO nanorod array and deposition of Ag nanoparticles onto the ZnO nanorods for surface-enhanced Raman scattering (SERS) and electrochemical immunosensors. We obtain the label-free detections of SERS and electrochemical immunoassay of clinical plasma samples from AD patients and healthy controls with high sensitivity and specificity. We believe that this efficient integration provides promising solutions for the early diagnosis of AD.

Indexed as

Alzheimer DiseaseBiosensing TechniquesMetal NanoparticlesAgedHumansImmunoassaySilverSpectrum Analysis, RamanSilverAcoustofluidicsAlzheimer's diseaseBiosensorElectrochemicalSERS

Identifiers

PMID34736099
PMCPMC8643320
OpenAlexW3211157017

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.