Evidence map›Paper›PMID 31941128›Full record

ArticleSensors (Basel, Switzerland)2020

Smartphone Biosensor System with Multi-Testing Unit Based on Localized Surface Plasmon Resonance Integrated with Microfluidics Chip.

Zhiyuan Fan, Zhaoxin Geng, Weihao Fang, Xiaoqing Lv, Yue Su, Shicai Wang, Hongda Chen

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. 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
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  8. Article
  9. An LSPR Sensor Integrated with VCSEL and Microfluidic Chip.Nanomaterials (Basel, Switzerland) · 2022
    Article
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  11. Review
  12. Review
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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

7 authors.

Zhiyuan FanState Key Laboratory of Integrated Optoelectronics, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China.
Zhaoxin GengState Key Laboratory of Integrated Optoelectronics, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China.
Weihao FangState Key Laboratory of Integrated Optoelectronics, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China.
Xiaoqing LvState Key Laboratory of Integrated Optoelectronics, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China.
Yue SuState Key Laboratory of Integrated Optoelectronics, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China.
Shicai WangState Key Laboratory of Crystal Materials, Shandong University, Jinan 250100, China.
Hongda ChenState Key Laboratory of Integrated Optoelectronics, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China.

Funding

China Postdoctoral Science Foundation 2018M641448Research project of scientific research equipment of CAS YJKYYQ20170043the Key Program of Natural Science Foundation of Beijing 4181001the leading project of youth academic team @ Minzu University of China Sensor and microsystem: 317201929the National Key R&D Plan 2017YFB0405400 and 2016YFB0402700the National Natural Science Foundation of China 61774175, 61674146, 61634006 and 61875140the Opened Fund of the State Key Laboratory of Integrated Optoelectronics no. IOSKL2017KF12
6 · The paper itself

Abstract

Detecting biomarkers is an efficient method to diagnose and monitor patients' stages. For more accurate diagnoses, continuously detecting and monitoring multiple biomarkers are needed. To achieve point-of-care testing (POCT) of multiple biomarkers, a smartphone biosensor system with the multi-testing-unit (SBSM) based on localized surface plasmon resonance (LSPR) integrated multi-channel microfluidics was presented. The SBSM could simultaneously record nine sensor units to achieve the detection of multiple biomarkers. Additional 72 sensor units were fabricated for further verification. Well-designed modularized attachments consist of a light source, lenses, a grating, a case, and a smartphone shell. The attachments can be well assembled and attached to a smartphone. The sensitivity of the SBSM was 161.0 nm/RIU, and the limit of detection (LoD) reached 4.2 U/mL for CA125 and 0.87 U/mL for CA15-3 through several clinical serum specimens testing on the SBSM. The testing results indicated that the SBSM was a useful tool for detecting multi-biomarkers. Comparing with the enzyme-linked immunosorbent assays (ELISA) results, the results from the SBSM were correlated and reliable. Meanwhile, the SBSM was convenient to operate without much professional skill. Therefore, the SBSM could become useful equipment for point-of-care testing due to its small size, multi-testing unit, usability, and customizable design.

Indexed as

Biosensing TechniquesMicrofluidicsSmartphoneBiomarkers, TumorCalibrationCarcinoembryonic AntigenGoldHumansNanoparticlesNeoplasm StagingReference StandardsRefractometrySurface Plasmon ResonanceBiomarkers, TumorCarcinoembryonic AntigenGoldlocalized surface plasmon resonancemicrofluidicsmultipoint biosensorpoint-of-careprotein detectionsmartphone

Identifiers

PMID31941128
PMCPMC7014366

What OpenQuestion holds

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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.