SERS-based inverse molecular sentinel (iMS) nanoprobes for multiplexed detection of microRNA cancer biomarkers in biological samples

2017 ◽  
Author(s):  
Bridget M. Crawford ◽  
Hsin-Neng Wang ◽  
Andrew M. Fales ◽  
Michelle L. Bowie ◽  
Victoria L. Seewaldt ◽  
...  
Keyword(s):  
Biological Samples ◽  
Cancer Biomarkers ◽  
Multiplexed Detection

An Electrodeposited MXene‐Ti 3 C 2 T x Nanosheets Functionalized by Task‐Specific Ionic Liquid for Simultaneous and Multiplexed Detection of Bladder Cancer Biomarkers

Small ◽  
2020 ◽  
Vol 16 (46) ◽  
pp. 2002517 ◽  
Author(s):  
Md. Sharifuzzaman ◽  
Sharat Chandra Barman ◽  
Md. Abu Zahed ◽  
Sudeep Sharma ◽  
Hyosang Yoon ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Ionic Liquid ◽  
Cancer Biomarkers ◽  
Multiplexed Detection ◽  
Task Specific Ionic Liquid

Competitive aptasensor for the ultrasensitive multiplexed detection of cancer biomarkers by fluorescent nanoparticle counting

The Analyst ◽  
2020 ◽  
Vol 145 (10) ◽  
pp. 3612-3619 ◽  
Author(s):  
Xiaojing Pei ◽  
Xi Wu ◽  
Jie Xiong ◽  
Guohong Wang ◽  
Guangyu Tao ◽  
...  
Keyword(s):  
Cancer Biomarkers ◽  
Multiplexed Detection ◽  
Fluorescent Nanoparticle

Multiplexed detection by fluorescent nanoparticle counting based on competitive mode.

Graphene-based stochastic sensors for pattern recognition of gastric cancer biomarkers in biological fluids

2019 ◽  
Vol 23 (11n12) ◽  
pp. 1365-1370 ◽  
Author(s):  
Raluca-Ioana Stefan-van Staden ◽  
Ruxandra-Maria Ilie-Mihai ◽  
Florina Pogacean ◽  
Stela Pruneanu
Keyword(s):  
Gastric Cancer ◽  
Pattern Recognition ◽  
Biological Samples ◽  
Whole Blood ◽  
Biological Fluids ◽  
Protoporphyrin Ix ◽  
Cancer Biomarkers ◽  
Exfoliated Graphene ◽  
Blood And Urine Samples

This paper proposes pattern recognition of gastric cancer biomarkers CEA, CA19-9 and p53 in whole blood and urine samples using a stochastic sensor based on exfoliated graphene (E-NGr) paste modified with protoporphyrin IX. The proposed sensor covered large ranges of concentrations: 1 × 10[Formula: see text]–1 × 10[Formula: see text]g/mL for CEA, 1 × 10[Formula: see text]–1 × 102 U/mL for CA19-9, and 0.2–5.0 [Formula: see text]g/mL for p53. These ranges allowed the determination of the three biomarkers from early to latest stages of gastric cancer. Validation of the pattern recognition of gastric cancer biomarkers was accomplished using biological samples: whole blood and urine.

Multiplexed detection of lung cancer biomarkers based on quantum dots and microbeads

Talanta ◽  
2016 ◽  
Vol 156-157 ◽  
pp. 48-54 ◽  
Author(s):  
Simin Wu ◽  
Lifen Liu ◽  
Gong Li ◽  
Fengxiang Jing ◽  
Hongju Mao ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Quantum Dots ◽  
Cancer Biomarkers ◽  
Multiplexed Detection
Sign in / Sign up

Export Citation Format

Share Document