State-of-the-art strategies for the colorimetric detection of heavy metals using gold nanorods based on aspect ratio reduction

2016 ◽  
Vol 8 (10) ◽  
pp. 2131-2137 ◽  
Author(s):  
Sruthi Ann Alex ◽  
N. Chandrasekaran ◽  
Amitava Mukherjee
Keyword(s):  
Heavy Metals ◽  
Aspect Ratio ◽  
Gold Nanorods ◽  
State Of The Art ◽  
Colorimetric Detection ◽  
Detection Techniques ◽  
Ratio Reduction

Current colorimetric detection techniques for metals using gold nanorods based on variations in the aspect ratio have been summarized.

Colorimetric detection of glutathione based on transverse overgrowth of high aspect ratio gold nanorods investigated by MCR-ALS

RSC Advances ◽  
2015 ◽  
Vol 5 (101) ◽  
pp. 82906-82915 ◽  
Author(s):  
Nafiseh Fahimi-Kashani ◽  
Parisa Shadabipour ◽  
M. Reza Hormozi-Nezhad
Keyword(s):  
Aspect Ratio ◽  
Gold Nanorods ◽  
High Aspect Ratio ◽  
Colorimetric Detection ◽  
Plasmonic Sensor

In this paper, we present a simple platform for colorimetric detection of glutathione using gold nanorods (AR ∼ 6.5 ± 0.2) as a plasmonic sensor.

Browser Security Attacks and Detection Techniques: A Case of Tabnabbing

2020 ◽  
Vol 8 (1) ◽  
pp. 33-41
Author(s):  
Dr. S. Sarika ◽  
Keyword(s):  
Credit Card ◽  
State Of The Art ◽  
Experimental Results ◽  
Detection Technique ◽  
Security Attacks ◽  
Agent Based ◽  
Detection Techniques ◽  
Browser Security ◽  
Cyber Threats ◽  
Multi Agent

Phishing is a malicious and deliberate act of sending counterfeit messages or mimicking a webpage. The goal is either to steal sensitive credentials like login information and credit card details or to install malware on a victim’s machine. Browser-based cyber threats have become one of the biggest concerns in networked architectures. The most prolific form of browser attack is tabnabbing which happens in inactive browser tabs. In a tabnabbing attack, a fake page disguises itself as a genuine page to steal data. This paper presents a multi agent based tabnabbing detection technique. The method detects heuristic changes in a webpage when a tabnabbing attack happens and give a warning to the user. Experimental results show that the method performs better when compared with state of the art tabnabbing detection techniques.

Effect of aspect ratio on the chirality of gold nanorods prepared through conventional seed-mediated growth method

2021 ◽  
Vol 1152 ◽  
pp. 338277
Author(s):  
Xiaojuan Zhou ◽  
Qiang Liu ◽  
Xiaoyu Shi ◽  
Chunli Xu ◽  
Baoxin Li
Keyword(s):  
Aspect Ratio ◽  
Gold Nanorods ◽  
Growth Method ◽  
Seed Mediated

Natural flocculants for the treatment of wastewaters containing dyes or heavy metals: A state-of-the-art review

2021 ◽  
pp. 106060
Author(s):  
Jamila El-Gaayda ◽  
Fatima Ezzahra Titchou ◽  
Rachid Oukhrib ◽  
Pow-Seng Yap ◽  
Tianqi Liu ◽  
...  
Keyword(s):  
Heavy Metals ◽  
State Of The Art

Object Detection Techniques: A State-of-the-Art Survey and Challenges

2021 ◽  
Author(s):  
S J Fiona G Sathiaraj ◽  
S J Evelyn G Sathiaraj ◽  
Laxmi Bewoor
Keyword(s):  
Object Detection ◽  
State Of The Art ◽  
Detection Techniques

Peptide Controlled Assembly of Palladium Nanoparticles on High-Aspect-Ratio Gold Nanorods

2020 ◽  
Vol 124 (50) ◽  
pp. 27743-27753
Author(s):  
John Tyler Wagner ◽  
Analeece K. Long ◽  
Michael B. Sumner ◽  
Ivan Cockman ◽  
Marvin Smith ◽  
...  
Keyword(s):  
Aspect Ratio ◽  
Gold Nanorods ◽  
High Aspect Ratio ◽  
Palladium Nanoparticles ◽  
Controlled Assembly

NEW EDGE CHARACTERISTICS FOR SCENE AND OBJECT CLASSIFICATION

2012 ◽  
Vol 26 (01) ◽  
pp. 1255001 ◽  
Author(s):  
PALAIAHNAKOTE SHIVAKUMARA ◽  
DEEPU RAJAN ◽  
SURESH ANAND SADANANTHAN
Keyword(s):  
Aspect Ratio ◽  
State Of The Art ◽  
Object Classification ◽  
The State ◽  
Complex Learning ◽  
Average Percentage ◽  
Class A ◽  
Training Samples ◽  
Learning Schemes ◽  
Class Representative

In this paper, we show that simple edge characteristics in images, when judiciously combined, can result in improved scene and object classification. Unlike existing methods that require a large number of training samples and complex learning schemes, our method discovers simple edge properties. We introduce three sets of edge properties, namely, centroid, compactness and aspect ratio of edges in the image. The combinations of these edge properties are used to discriminate among images in each class. A class representative is calculated for each class according to the average percentage of edges that satisfy the property of a particular class. This percentage for an unknown image is compared to the class representative to assign a label to it. It is shown that this simple edge properties-based method outperforms some of the state-of-the-art results on scene and object classification on standard databases.

Seedless synthesis of high aspect ratio gold nanorods with high yield

2014 ◽  
Vol 2 (10) ◽  
pp. 3528 ◽  
Author(s):  
Xiaolong Xu ◽  
Yuanyuan Zhao ◽  
Xiangdong Xue ◽  
Shuaidong Huo ◽  
Fei Chen ◽  
...  
Keyword(s):  
Aspect Ratio ◽  
Gold Nanorods ◽  
High Aspect Ratio ◽  
High Yield
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