Optofluidic marine phosphate detection with enhanced absorption using a Fabry–Pérot resonator

Lab on a Chip ◽  
2017 ◽  
Vol 17 (23) ◽  
pp. 4025-4030 ◽  
Author(s):  
J. M. Zhu ◽  
Y. Shi ◽  
X. Q. Zhu ◽  
Y. Yang ◽  
F. H. Jiang ◽  
...  
Keyword(s):  
Real Time ◽  
Sensitive Detection ◽  
Real Time Monitoring ◽  
Traditional Methods ◽  
Enhanced Absorption ◽  
Fabry Perot ◽  
Phosphate Analysis ◽  
Phosphate Detection

An optofluidic phosphate analysis chip combined with a resonator has been created with enhanced absorption and real-time monitoring. It overcomes the obstacles of traditional methods with macroscale absorption cells, and low representative and time-sensitive detection results.

Cr doped WO3 nanofibers enriched with surface oxygen vacancies for highly sensitive detection of the 3-hydroxy-2-butanone biomarker

2018 ◽  
Vol 6 (43) ◽  
pp. 21419-21427 ◽  
Author(s):  
Zhengyou Zhu ◽  
Lijun Zheng ◽  
Shizheng Zheng ◽  
Jian Chen ◽  
Minghui Liang ◽  
...  
Keyword(s):  
Listeria Monocytogenes ◽  
Real Time ◽  
Oxygen Vacancies ◽  
Sensitive Detection ◽  
Surface Oxygen ◽  
Real Time Monitoring ◽  
The Real ◽  
Highly Sensitive ◽  
Highly Sensitive Detection

Cr doped WO3 nanofibers enriched with surface oxygen vacancies have been developed to smartly detect the 3H-2B biomarker for the real-time monitoring of Listeria monocytogenes.

A bioluminescent sensor for highly selective and sensitive detection of human carboxylesterase 1 in complex biological samples

2016 ◽  
Vol 52 (15) ◽  
pp. 3183-3186 ◽  
Author(s):  
Dan-Dan Wang ◽  
Qiang Jin ◽  
Li-Wei Zou ◽  
Jie Hou ◽  
Xia Lv ◽  
...  
Keyword(s):  
Real Time ◽  
Biological Samples ◽  
Living Cells ◽  
Sensitive Detection ◽  
Real Time Monitoring ◽  
Bio Imaging ◽  
Carboxylesterase 1

A highly selective and sensitive bioluminescent sensor (DME) for real-time monitoring of human carboxylesterase 1 (hCE1) activities in complex biological samples and bio-imaging of endogenous hCE1 in living cells.

Real-time monitoring of UV curing by fiber-integrated Fabry–Perot sensor

2021 ◽  
pp. 127143
Author(s):  
Hongchang Deng ◽  
Xiaowen Jiang ◽  
Rui Wang ◽  
Ronghui Xu ◽  
Chuanxin Teng ◽  
...  
Keyword(s):  
Real Time ◽  
Uv Curing ◽  
Real Time Monitoring ◽  
Fabry Perot

1618: Real-Time Monitoring of Nitric Oxide and Blood Flow During Ischemia-Reperfusion in the Rat Testis

2006 ◽  
Vol 175 (4S) ◽  
pp. 521-521
Author(s):  
Motoaki Saito ◽  
Tomoharu Kono ◽  
Yukako Kinoshita ◽  
Itaru Satoh ◽  
Keisuke Satoh
Keyword(s):  
Nitric Oxide ◽  
Blood Flow ◽  
Real Time ◽  
Ischemia Reperfusion ◽  
Real Time Monitoring ◽  
Rat Testis

GaN heteroepitaxy by remote plasma MOCVD : Real time monitoring by laser reflectance interferometry

2001 ◽  
Vol 11 (PR3) ◽  
pp. Pr3-1175-Pr3-1182 ◽  
Author(s):  
M. Losurdo ◽  
A. Grimaldi ◽  
M. Giangregorio ◽  
P. Capezzuto ◽  
G. Bruno
Keyword(s):  
Real Time ◽  
Real Time Monitoring ◽  
Remote Plasma ◽  
Laser Reflectance

INVESTIGATION OF HAND KINEMATICS TOWARDS FRONT CRAWL SWIMMING USING NON-INVASIVE REAL-TIME MONITORING SYSTEM

2014 ◽  
Author(s):  
Rozaimi Ghazali ◽  
◽  
Asiah Mohd Pilus ◽  
Wan Mohd Bukhari Wan Daud ◽  
Mohd Juzaila Abd Latif ◽  
...  
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Real Time Monitoring ◽  
Front Crawl ◽  
Non Invasive ◽  
Hand Kinematics

101-LB: Real-Time Monitoring of Cholesterol Levels Using a Microfluidic Device

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 101-LB
Author(s):  
ABHINAV BHUSHAN ◽  
SONALI J. KARNIK
Keyword(s):  
Real Time ◽  
Microfluidic Device ◽  
Real Time Monitoring ◽  
Cholesterol Levels

Real Time Person Recognition and Attendance Marking Using Holistic Based Approach

2017 ◽  
Vol 7 (7) ◽  
pp. 302
Author(s):  
Reshma P ◽  
Muneer VK ◽  
Muhammed Ilyas P
Keyword(s):  
Face Recognition ◽  
Real Time ◽  
High Accuracy ◽  
Efficient Technique ◽  
Human Face ◽  
Traditional Methods ◽  
Person Recognition ◽  
The Face

Face recognition is a challenging task for the researches. It is very useful for personal verification and recognition and also it is very difficult to implement due to all different situation that a human face can be found. This system makes use of the face recognition approach for the computerized attendance marking of students or employees in the room environment without lectures intervention or the employee. This system is very efficient and requires very less maintenance compared to the traditional methods. Among existing methods PCA is the most efficient technique. In this project Holistic based approach is adapted. The system is implemented using MATLAB and provides high accuracy.

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