Evidence map›Paper›PMID 28085088›Full record

ReviewBiosensors2017

Surface-Enhanced Raman Scattering-Based Immunoassay Technologies for Detection of Disease Biomarkers.

Joseph Smolsky, Sukhwinder Kaur, Chihiro Hayashi, Surinder K Batra, Alexey V Krasnoslobodtsev

Open access · goldAbstract readReview
In one paragraph

Review in Biosensors, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
3.4field-weighted citation impact, top 7% of its field
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

36 citing papers in PubMed, 113 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Advances in Immunological Methods for the Detection ofSensors (Basel, Switzerland) · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. SERS Immunosensors for Cancer Markers Detection.Materials (Basel, Switzerland) · 2023
    Review
  14. Review
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. 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

5 authors at 2 institutions in 1 country.

Joseph SmolskyDepartment of Physics University of Nebraska at Omaha 6001 Dodge Street, Omaha, NE 68182, USA. jsmolsky@unomaha.edu.
Sukhwinder KaurDepartment of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68198, USA. skaur@unmc.edu.
Chihiro HayashiDepartment of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68198, USA. chihiro.hayashi@unmc.edu.
Surinder K BatraDepartment of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68198, USA. sbatra@unmc.edu.
Alexey V KrasnoslobodtsevDepartment of Physics University of Nebraska at Omaha 6001 Dodge Street, Omaha, NE 68182, USA. akrasnos@unomaha.edu.
University of Nebraska Medical Center · USUniversity of Nebraska at Omaha · US

Funding

Project 9 - Renal Drug Targeting for the Treatment of Lupus NephritisP20GM103480 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI BRONICH, TATIANA K · 2012 to 2017
$13.3M
Validation of biomarkers for risk prediction and early diagnosis of Pancreatic AdenocarcinomaU01CA200466 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Surinder K. Batra, Randall Brand · 2016 to 2026
$11.3M
Ultrasensitive SERS Nano-Sensors for Pancreatic Cancer Diagnosis and PrognosisR41CA213718 · NCI · SANGUINE DIAGNOSTICS AND THERAPEUTICS · PI JUNKER, WADE M, KAUR, SUKHWINDER · 2016 to 2016
$300k
NCI NIH HHS R41 CA213718NCI NIH HHS U01 CA200466NIGMS NIH HHS P20 GM103480
6 · The paper itself

Abstract

Detection of biomarkers is of vital importance in disease detection, management, and monitoring of therapeutic efficacy. Extensive efforts have been devoted to the development of novel diagnostic methods that detect and quantify biomarkers with higher sensitivity and reliability, contributing to better disease diagnosis and prognosis. When it comes to such devastating diseases as cancer, these novel powerful methods allow for disease staging as well as detection of cancer at very early stages. Over the past decade, there have been some advances in the development of platforms for biomarker detection of diseases. The main focus has recently shifted to the development of simple and reliable diagnostic tests that are inexpensive, accurate, and can follow a patient's disease progression and therapy response. The individualized approach in biomarker detection has been also emphasized with detection of multiple biomarkers in body fluids such as blood and urine. This review article covers the developments in Surface-Enhanced Raman Scattering (SERS) and related technologies with the primary focus on immunoassays. Limitations and advantages of the SERS-based immunoassay platform are discussed. The article thoroughly describes all components of the SERS immunoassay and highlights the superior capabilities of SERS readout strategy such as high sensitivity and simultaneous detection of a multitude of biomarkers. Finally, it introduces recently developed strategies for in vivo biomarker detection using SERS.

Indexed as

AnimalsAntibodiesBiomarkers, TumorEarly Detection of CancerHumansImmunoassayNeoplasmsReproducibility of ResultsSensitivity and SpecificitySpectrum Analysis, RamanSurface Plasmon ResonanceAntibodiesBiomarkers, TumorbiomarkersimmunoassaynanodiagnosticsSurface-Enhanced Raman Scattering

Identifiers

PMID28085088
PMCPMC5371780
OpenAlexW2576331443

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.