Evidence map›Paper›PMID 21479636›Full record

ArticleJournal of materials science. Materials in medicine2011

Characterization of surface modification on self-assembled monolayer-based piezoelectric crystal immunosensor for the quantification of serum α-fetoprotein.

Yu-Chang Tyan, Ming-Hui Yang, Tze-Wen Chung, Wen-Cheng Chen, Ming-Chen Wang, Yi-Ling Chen, Shu-Ling Huang, Ying-Fong Huang, Shiang-Bin Jong

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In one paragraph

Article in Journal of materials science. Materials in medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Yu-Chang TyanDepartment of Medical Imaging and Radiological Sciences, Kaohsiung Medical University, 100, Shi-Chuan 1st Rd, Kaohsiung 807, Taiwan. yctyan@kmu.edu.tw
Ming-Hui Yang
Tze-Wen Chung
Wen-Cheng Chen
Ming-Chen Wang
Yi-Ling Chen
Shu-Ling Huang
Ying-Fong Huang
Shiang-Bin Jong

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Self-assembled monolayers (SAMs) on coinage metallic material can provide versatile modeling systems for studies of interfacial electron transfer, biological interactions, molecular recognition and other interfacial phenomena. Recently, a bio-sensing system has been produced by analysis of the attachment of antibody using alkanethiols, to form SAMs on the face of Au-quartz crystal microbalance (QCM) surfaces. In this study, the attachment of anti-α-fetoprotein monoclonal antibody to a SAMs surface of 11-mercaptoundecanoic acid was achieved using water-soluble N-ethyl-N'-(3-dimethylaminopropyl) carbodiimide hydrochloride and N-hydroxysuccinimide as coupling agents. Surface analyses were utilized by X-ray photoelectron spectroscopy and atomic force microscopy. The quantization of immobilized antibody was characterized by the frequency shift of QCM and the radioactivity change of ¹²⁵I labeled antibody. The limit of detection and linear range of the calibration curve of the QCM method were 15 ng/ml and 15-850 ng/ml. The correlation coefficients of α-fetoprotein concentration between QCM and radioimmunoassay were 0.9903 and 0.9750 for the standards and serum samples, respectively. This report illustrates an investigation of SAMs for the preparation of covalently immobilized antibody biosensors.

Indexed as

Algorithmsalpha-FetoproteinsBiosensing TechniquesElectrochemistryHumansImmunoassayMicroscopy, Atomic ForceModels, BiologicalOsmolar ConcentrationPhotoelectron SpectroscopyQuartz Crystal Microbalance TechniquesSurface PropertiesUnilamellar Liposomesalpha-FetoproteinsUnilamellar Liposomes

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Registered trials

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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.