Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 188

The DOI matches its Crossref record.

A Reactive Poly(ethylene glycol) Layer To Achieve Specific Surface Plasmon Resonance Sensing with a High S/N Ratio: The Substantial Role of a Short Underbrushed PEG Layer in Minimizing Nonspecific Adsorption

Uchida, Katsumi, Otsuka, Hidenori, Kaneko, Mitsuhiro, Kataoka, Kazunori, Nagasaki, Yukio·2005·Analytical Chemistry

Abstract

A reactive poly(ethylene glycol) (PEG)-brushed layer was constructed on a surface plasmon resonance (SPR) sensor chip using a heterobifunctional PEG possessing an acetal group at one end and a mercapto group at the other end (alpha-acetal-omega-mercapto-PEG). The density of the PEG brushed layer substantially increased with repetitive adsorption/rinse cycles of the PEG on the sensor chip, allowing dramatic reduction of nonspecific protein adsorption. Notably, formation of a short, filler layer of PEG (2 kDa) in the preconstructed longer PEG brushed layer (5 kDa) achieved almost complete prevention of nonspecific protein adsorption. The acetal group located at the distal end of the tethered PEG was converted to an aldehyde group by the acid treatment, followed by the installation of biocytin hydrazide through Schiff base formation. SPR sensing of streptavidin was done with a very high S/N ratio even in a proteinous medium using the biotinylated PEG (5 kDa) tethered chip with an inert filler layer of short PEG (2 kDa). Furthermore, the specific affinity of streptavidin for the biotinylated PEG was highly influenced by the length of the filler PEG and was significantly reduced when the length of the filler PEG was longer than that of the biotinylated PEG. This result clearly revealed the substantial importance of the steric factor on biospecific interaction at the distal end of tethered PEG on the sensor surface.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/ac0486140

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

Metadata

Authors
Uchida, K., Otsuka, H., Kaneko, M., Kataoka, K., & Nagasaki, Y.
Venue
Analytical Chemistry
Published
2005-01-15
Volume
77
Issue
4
Pages
1075-1080
ISSN
  • 0003-2700 (ISSN-L)
  • 1520-6882
OpenAlex
W2030152915
Cited by
188
References
0
FWCI
7.88
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.