Evidence map›Paper›PMID 27540627›Full record

ArticleACS applied materials & interfaces2016

PEGylated Artificial Antibodies: Plasmonic Biosensors with Improved Selectivity.

Jingyi Luan, Keng-Ku Liu, Sirimuvva Tadepalli, Qisheng Jiang, Jeremiah J Morrissey, Evan D Kharasch, Srikanth Singamaneni

Open access · greenAbstract read
In one paragraph

Article in ACS applied materials & interfaces, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.0field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 41 citations in OpenAlex.

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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 1 institution in 1 country.

Jingyi LuanDepartment of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis , St Louis, Missouri 63130, United States.
Keng-Ku LiuDepartment of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis , St Louis, Missouri 63130, United States.
Sirimuvva TadepalliDepartment of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis , St Louis, Missouri 63130, United States.
Qisheng JiangDepartment of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis , St Louis, Missouri 63130, United States.
Jeremiah J MorrisseyDepartment of Anesthesiology, Washington University in St. Louis , St. Louis, Missouri 63110, United States.
Evan D KharaschDepartment of Anesthesiology, Washington University in St. Louis , St. Louis, Missouri 63110, United States.
Srikanth SingamaneniDepartment of Mechanical Engineering and Materials Science, Institute of Materials Science and Engineering, Washington University in St. Louis , St Louis, Missouri 63130, United States.
Washington University in St. Louis · 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

Molecular imprinting, which involves the formation of artificial recognition elements or cavities with complementary shape and chemical functionality to the target species, is a powerful method to overcome a number of limitations associated with natural antibodies. An important but often overlooked consideration in the design of artificial biorecognition elements based on molecular imprinting is the nonspecific binding of interfering species to noncavity regions of the imprinted polymer. Here, we demonstrate a universal method, namely, PEGylation of the noncavity regions of the imprinted polymer, to minimize the nonspecific binding and significantly enhance the selectivity of the molecular imprinted polymer for the target biomolecules. The nonspecific binding, as quantified by the localized surface plasmon resonance shift of imprinted plasmonic nanorattles upon exposure to common interfering proteins, was found to be more than 10 times lower compared to the non-PEGylated counterparts. The method demonstrated here can be broadly applied to a wide variety of functional monomers employed for molecular imprinting. The significantly higher selectivity of PEGylated molecular imprints takes biosensors based on these artificial biorecognition elements closer to real-world applications.

Indexed as

Biosensing TechniquesAntibodiesMolecular ImprintingPolyethylene GlycolsPolymersProteinsAntibodiesPolyethylene GlycolsPolymersProteinsartificial antibodylocalized surface plasmon resonancemolecular imprintingPEGylationplasmonic biosensor

Identifiers

PMID27540627
PMCPMC5371828
OpenAlexW2513414440

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.