Evidence map›Paper›PMID 35271059›Full record

ArticleSensors (Basel, Switzerland)2022

Detection of β-Lactoglobulin by a Porous Silicon Microcavity Biosensor Based on the Angle Spectrum.

Lanlan Bai, Yun Gao, Jiajia Wang, Tuerxunnayi Aili, Zhenhong Jia, Xiaoyi Lv, Xiaohui Huang, Jie Yang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Lanlan BaiSchool of Physical Science and Technology, Xinjiang University, Urumqi 830046, China.
Yun GaoSchool of Physical Science and Technology, Xinjiang University, Urumqi 830046, China.
Jiajia WangSchool of Information Science and Engineering, Xinjiang University, Urumqi 830046, China.
Tuerxunnayi AiliSchool of Life Science and Technology, Xinjiang University, Urumqi 830046, China.
Zhenhong JiaSchool of Information Science and Engineering, Xinjiang University, Urumqi 830046, China.
Xiaoyi LvThe Key Laboratory of Signal Detection and Processing, Xinjiang Uygur Autonomous Region, Xinjiang University, Urumqi 830046, China.
Xiaohui HuangSchool of Information Science and Engineering, Xinjiang University, Urumqi 830046, China.
Jie YangSchool of Life Science and Technology, Xinjiang University, Urumqi 830046, China.

Funding

Jiajia Wang TCBS202049Zhenhong Jia 2019YFC1606100Zhenhong Jia 61665012
6 · The paper itself

Abstract

In this paper, carbon quantum dot-labelled β-lactoglobulin antibodies were used for refractive index magnification, and β-lactoglobulin was detected by angle spectroscopy. In this method, the detection light is provided by a He-Ne laser whose central wavelength is the same as that of the porous silicon microcavity device, and the light source was changed to a parallel beam to illuminate the porous silicon microcavity' surface by collimating beam expansion, and the reflected light was received on the porous silicon microcavity' surface by a detector. The angle corresponding to the smallest luminous intensity before and after the onset of immune response was measured by a detector for different concentrations of β-lactoglobulin antigen and carbon quantum dot-labelled β-lactoglobulin antibodies, and the relationship between the variation in angle before and after the immune response was obtained for different concentrations of the β-lactoglobulin antigen. The results of the experiment present that the angle variations changed linearly with increasing β-lactoglobulin antigen concentration before and after the immune response. The limit of detection of β-lactoglobulin by this method was 0.73 μg/L, indicating that the method can be used to detect β-lactoglobulin quickly and conveniently at low cost.

Indexed as

Biosensing TechniquesSiliconLactoglobulinsPorosityRefractometryLactoglobulinsSiliconangular spectrumcarbon quantum dotsporous silicon microcavity

Identifiers

PMID35271059
PMCPMC8914963

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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.