Evidence map›Paper›PMID 21479332›Full record

ArticleLab on a chip2011

A single-layer, planar, optofluidic Mach-Zehnder interferometer for label-free detection.

Michael Ian Lapsley, I-Kao Chiang, Yue Bing Zheng, Xiaoyun Ding, Xiaole Mao, Tony Jun Huang

Abstract read
In one paragraph

Article in Lab on a chip, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Plasmofluidics: Merging Light and Fluids at the Micro-/Nanoscale.Small (Weinheim an der Bergstrasse, Germany) · 2015
    Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. 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

6 authors.

Michael Ian LapsleyDepartment of Engineering Science and Mechanics, Pennsylvania State University, University Park, PA 16802, USA.
I-Kao Chiang
Yue Bing Zheng
Xiaoyun Ding
Xiaole Mao
Tony Jun Huang

Funding

On-Chip Optofluidic Laser Scanning Confocal Microscope for Early Cancer DetectionDP2OD007209 · OD · PENNSYLVANIA STATE UNIVERSITY, THE · PI HUANG, TONY JUN · 2010 to 2010
$2.2M
NIH HHS 1DP2OD007209-01NIH HHS DP2 OD007209
6 · The paper itself

Abstract

We have developed a planar, optofluidic Mach-Zehnder interferometer for the label-free detection of liquid samples. In contrast to most on-chip interferometers which require complex fabrication, our design was realized via a simple, single-layer soft lithography fabrication process. In addition, a single-wavelength laser source and a silicon photodetector were the only optical equipment used for data collection. The device was calibrated using published data for the refractive index of calcium chloride (CaCl(2)) in solution, and the biosensing capabilities of the device were tested by detecting bovine serum albumin (BSA). Our design enables a refractometer with a low limit of detection (1.24 × 10(-4) refractive index units (RIU)), low variability (1 × 10(-4) RIU), and high sensitivity (927.88 oscillations per RIU). This performance is comparable to state-of-the-art optofluidic refractometers that involve complex fabrication processes and/or expensive, bulky optics. The advantages of our device (i.e. simple fabrication process, straightforward optical equipment, low cost, and high detection sensitivity) make it a promising candidate for future mass-producible, inexpensive, highly sensitive, label-free optical detection systems.

Indexed as

AnimalsBiosensing TechniquesCalcium ChlorideCattleInterferometryMicrofluidic Analytical TechniquesSerum Albumin, BovineCalcium ChlorideSerum Albumin, Bovine

Identifiers

PMID21479332
PMCPMC3998765

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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.