Evidence map›Paper›PMID 19628383›Full record

ArticleBiosensors & bioelectronics2009

Quantification of DNA and protein adsorption by optical phase shift.

Emre Ozkumur, Ayça Yalçin, Marina Cretich, Carlos A Lopez, David A Bergstein, Bennett B Goldberg, Marcella Chiari, M Selim Unlü

Abstract readEvaluation Study
In one paragraph

Article in Biosensors & bioelectronics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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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

8 authors.

Emre OzkumurDepartment of Electrical & Computer Engineering, Boston University, 8 St. Mary's Street, Boston, MA 02215, USA.
Ayça Yalçin
Marina Cretich
Carlos A Lopez
David A Bergstein
Bennett B Goldberg
Marcella Chiari
M Selim Unlü

Funding

High-throughput, Label-free Promoter Sequence DiscoveryR21GM074872 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI UNLU, M SELIM · 2006 to 2007
$428k
NIGMS NIH HHS R21 GM074872
6 · The paper itself

Abstract

A primary advantage of label-free detection methods over fluorescent measurements is its quantitative detection capability, since an absolute measure of adsorbed material facilitates kinetic characterization of biomolecular interactions. Interferometric techniques relate the optical phase to biomolecular layer density on the surface, but the conversion factor has not previously been accurately determined. We present a calibration method for phase shift measurements and apply it to surface-bound bovine serum albumin, immunoglobulin G, and single-stranded DNA. Biomolecules with known concentrations dissolved in salt-free water were spotted with precise volumes on the array surface and upon evaporation of the water, left a readily calculated mass. Using our label-free technique, the calculated mass of the biolayer was compared with the measured thickness, and we observed a linear dependence over 4 orders of magnitude. We determined that the widely accepted conversion of 1 nm of thickness corresponds to approximately 1 ng/mm(2) surface density held reasonably well for these substances and through our experiments can now be further specified for different types of biomolecules. Through accurate calibration of the dependence of thickness on surface density, we have established a relation allowing precise determination of the absolute number of molecules for single-stranded DNA and two different proteins.

Indexed as

AdsorptionAnimalsBiosensing TechniquesCalibrationCattleDNA, Single-StrandedEquipment DesignImmunoglobulin GOptics and PhotonicsRabbitsSerum Albumin, BovineDNA, Single-StrandedImmunoglobulin GSerum Albumin, Bovine

Identifiers

PMID19628383
PMCPMC2750076

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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.