Evidence map›Paper›PMID 29336151›Full record

ArticleACS sensors2018

Ultrarobust Biochips with Metal-Organic Framework Coating for Point-of-Care Diagnosis.

Congzhou Wang, Lu Wang, Sirimuvva Tadepalli, Jeremiah J Morrissey, Evan D Kharasch, Rajesh R Naik, Srikanth Singamaneni

Open access · greenAbstract read
In one paragraph

Article in ACS sensors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Ultrasensitive Detection of Neurofilament Light in Plasma Using F(Ab')Small (Weinheim an der Bergstrasse, Germany) · 2026
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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

7 authors at 3 institutions in 1 country.

Congzhou WangDepartment of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis , Saint Louis, Missouri 63130, United States.
Lu WangDepartment of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis , Saint Louis, Missouri 63130, United States.
Sirimuvva TadepalliDepartment of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis , Saint Louis, Missouri 63130, United States.
Jeremiah J MorrisseyDepartment of Anesthesiology, Washington University in St. Louis , St. Louis, Missouri 63110, United States.ORCID 0000-0002-9911-4811
Evan D KharaschDepartment of Anesthesiology, Washington University in St. Louis , St. Louis, Missouri 63110, United States.
Rajesh R Naik711th Human Performance Wing, Air Force Research Laboratory, Wright-Patterson Air Force Base, Dayton, Ohio 45433, United States.ORCID 0000-0002-7677-928X
Srikanth SingamaneniDepartment of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis , Saint Louis, Missouri 63130, United States.ORCID 0000-0002-7203-2613
Washington University in St. Louis · USUniversity of Health Sciences and Pharmacy · USWright-Patterson Air Force Base · US

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
URINARY BIOMARKERS OF RENAL CELL CARCINOMASR01CA141521 · NCI · WASHINGTON UNIVERSITY · PI MORRISSEY, JEREMIAH J · 2011 to 2019
$2.6M
POINT OF CARE ACUTE KIDNEY INJURY DETECTION USING MOLECULARLY IMPRINTED GOLD NANOCAGESR21DK100759 · NIDDK · WASHINGTON UNIVERSITY · PI SINGAMANENI, SRIKANTH · 2015 to 2016
$411k
NCATS NIH HHS UL1 TR002345NCI NIH HHS R01 CA141521NIDDK NIH HHS R21 DK100759
6 · The paper itself

Abstract

Most biosensors relying on antibodies as recognition elements fail in harsh environment conditions such as elevated temperatures, organic solvents, or proteases because of antibody denaturation, and require strict storage conditions with defined shelf life, thus limiting their applications in point-of-care and resource-limited settings. Here, a metal-organic framework (MOF) encapsulation is utilized to preserve the biofunctionality of antibodies conjugated to nanotransducers. This study investigates several parameters of MOF coating (including growth time, surface morphology, thickness, and precursor concentrations) that determine the preservation efficacy against different protein denaturing conditions in both dry and wet environments. A plasmonic biosensor based on gold nanorods as the nanotransducers is employed as a model biodiagnostic platform. The preservation efficacy attained through MOF encapsulation is compared to two other commonly employed materials (sucrose and silk fibroin). The results show that MOF coating outperforms sucrose and silk fibroin coatings under several harsh conditions including high temperature (80 °C), dimethylformamide, and protease solution, owing to complete encapsulation, stability in wet environment and ease of removal at point-of-use by the MOF. We believe this study will broaden the applicability of this universal approach for preserving different types of on-chip biodiagnostic reagents and biosensors/bioassays, thus extending the benefits of advanced diagnostic technologies in resource-limited settings.

Indexed as

Point-of-Care SystemsAntibodies, ImmobilizedBiosensing TechniquesFibroinsGoldMetal-Organic FrameworksNanotubesAntibodies, ImmobilizedFibroinsGoldMetal-Organic Frameworksmetal−organic frameworkplasmonic biosensorpreservationresource-limited settingssilksucrosetemperature

Identifiers

PMID29336151
PMCPMC5825292
OpenAlexW2784275178

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.