A tetraphenylethene-based dye for latent fingerprint analysis

2017 ◽  
Vol 244 ◽  
pp. 777-784 ◽  
Author(s):  
Xiaodong Jin ◽  
Ran Xin ◽  
Shifan Wang ◽  
Wenzhu Yin ◽  
Tongxiang Xu ◽  
...  
Keyword(s):  
Fingerprint Analysis ◽  
Latent Fingerprint

An aggregation-induced emission luminogen combined with a cyanoacrylate fuming method for latent fingerprint analysis

The Analyst ◽  
2020 ◽  
Vol 145 (6) ◽  
pp. 2311-2318 ◽  
Author(s):  
Xiaodong Jin ◽  
Hao Wang ◽  
Ran Xin ◽  
Yining Ma ◽  
Guoping Wu ◽  
...  
Keyword(s):  
Fingerprint Analysis ◽  
Latent Fingerprints ◽  
Latent Fingerprint ◽  
Aggregation Induced Emission ◽  
Cyanoacrylate Fuming

An aggregation-induced emission luminogen tetraphenylethene-based dye FLA-2, was synthesized and characterized. Two methods were adopted herein to visualize the latent fingerprints, respectively.

A Magnetically Responsive Polydiacetylene Precursor for Latent Fingerprint Analysis

2016 ◽  
Vol 8 (9) ◽  
pp. 6245-6251 ◽  
Author(s):  
Joosub Lee ◽  
Chan Woo Lee ◽  
Jong-Man Kim
Keyword(s):  
Fingerprint Analysis ◽  
Latent Fingerprint

Species Classify of Fritillaria by NMR Fingerprint Analysis

Planta Medica ◽  
2010 ◽  
Vol 76 (05) ◽  
Author(s):  
ZH Song ◽  
J Zhao ◽  
ZZ Qian ◽  
TJ Smillie ◽  
IA Khan
Keyword(s):  
Fingerprint Analysis

Chemical Fingerprint Analysis and Simultaneous Determination of Nucleosides and Amino Acids in Kang Fu Xin Liquid by High Performance Liquid Chromatography with Diode Array Detector

2020 ◽  
Vol 16 (7) ◽  
pp. 831-843
Author(s):  
Yuwen Wang ◽  
Shuping Li ◽  
Liuhong Zhang ◽  
Shenglan Qi ◽  
Huida Guan ◽  
...  
Keyword(s):  
Amino Acids ◽  
Quality Control ◽  
Uric Acid ◽  
Control Method ◽  
Principal Component ◽  
Gradient Elution ◽  
Hplc Method ◽  
Array Detector ◽  
Fingerprint Analysis ◽  
Wavelength Switching

Background and Objective: Kang Fu Xin liquid (KFX) is an official preparation made from the ethanol extract product from P. Americana. The present quality control method cannot control the quality of the preparation well. The aim of the present study is to establish a convenient HPLC method for multicomponents determination combined with fingerprint analysis for quality control of KFX. Methods: An HPLC-DAD method with gradient elution and detective wavelength switching program was developed to establish HPLC fingerprints of KFX, and 38 batches of KFX were compared and evaluated by similarity analysis (SA), hierarchical clustering analysis (HCA), and principal component analysis (PCA). Meanwhile, six nucleosides and three amino acids, including uracil, hypoxanthine, uric acid, adenosine, xanthine, inosine, tyrosine, phenylalanine and tryptophan in KFX were determined based on the HPLC fingerprints. Results: An HPLC method assisted with gradient elution and wavelength switching program was established and validated for multicomponents determination combined with fingerprint analysis of KFX. The results demonstrated that the similarity values of the KFX samples were more than 0.845. PCA indicated that peaks 4 (hypoxanthine), 7 (xanthine), 9 (tyrosine), 11, 13 and 17 might be the characteristic contributed components. The nine constituents in KFX, uracil, hypoxanthine, uric acid, adenosine, xanthine, inosine, tyrosine, phenylalanine and tryptophan, showed good regression (R2 > 0.9997) within test ranges and the recoveries of the method for all analytes were in the range from 96.74 to 104.24%. The limits of detections and quantifications for nine constituents in DAD were less than 0.22 and 0.43 μg•mL-1, respectively. Conclusion: The qualitative analysis of chemical fingerprints and the quantitative analysis of multiple indicators provide a powerful and rational way to control the KFX quality for pharmaceutical companies.

State-of-the-Art: A Systematic Literature Review on Image Segmentation in Latent Fingerprint Forensics

2019 ◽  
Vol 12 ◽  
Author(s):  
Megha Chhabra ◽  
Manoj Kumar Shukla ◽  
Kiran Kumar Ravulakollu
Keyword(s):  
Image Segmentation ◽  
Background Noise ◽  
State Of The Art ◽  
Recognition Rate ◽  
Poor Quality ◽  
Latent Fingerprint ◽  
In The Beginning ◽  
The Comparative Study ◽  
Finger Skin

: Latent fingerprints are unintentional finger skin impressions left as ridge patterns at crime scenes. A major challenge in latent fingerprint forensics is the poor quality of the lifted image from the crime scene. Forensics investigators are in permanent search of novel outbreaks of the effective technologies to capture and process low quality image. The accuracy of the results depends upon the quality of the image captured in the beginning, metrics used to assess the quality and thereafter level of enhancement required. The low quality of the image collected by low quality scanners, unstructured background noise, poor ridge quality, overlapping structured noise result in detection of false minutiae and hence reduce the recognition rate. Traditionally, Image segmentation and enhancement is partially done manually using help of highly skilled experts. Using automated systems for this work, differently challenging quality of images can be investigated faster. This survey amplifies the comparative study of various segmentation techniques available for latent fingerprint forensics.

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