IN VIVO PHOTOACOUSTIC SPECTROSCOPY OF THE SKIN

1983 ◽  
Vol 44 (C6) ◽  
pp. C6-413-C6-418 ◽  
Author(s):  
P. Poulet ◽  
J. Chambron
Keyword(s):  
Photoacoustic Spectroscopy

Non-invasive blood glucose in vivo detection based on photoacoustic spectroscopy

2019 ◽  
Vol 27 (6) ◽  
pp. 1301-1308
Author(s):  
吕鹏飞 L Peng-fei ◽  
陆志谦 LU Zhi-qian ◽  
何巧芝 HE Qiao-zhi ◽  
王 倩 WANG Qian ◽  
赵 辉 ZHAO Hui
Keyword(s):  
Blood Glucose ◽  
Photoacoustic Spectroscopy ◽  
Non Invasive ◽  
In Vivo Detection

scholarly journals Sonophoric nanoprobe aided pH measurement in vivo using photoacoustic spectroscopy

The Analyst ◽  
2013 ◽  
Vol 138 (11) ◽  
pp. 3126 ◽  
Author(s):  
Aniruddha Ray ◽  
Hyung Ki Yoon ◽  
Yong Eun Koo Lee ◽  
Raoul Kopelman ◽  
Xueding Wang
Keyword(s):  
Photoacoustic Spectroscopy ◽  
Ph Measurement

Photoacoustic spectroscopy to evaluate the potentiality of bee-propolis as UV protector: In vivo test in humans

2005 ◽  
Vol 125 ◽  
pp. 681-683
Author(s):  
E. Sehn ◽  
K. C. Silva ◽  
A. C. Bento ◽  
M. L. Baesso ◽  
S. L. Franco
Keyword(s):  
Photoacoustic Spectroscopy ◽  
In Vivo Test

Photoacoustic spectroscopy to evaluate the penetration rate of three different sunscreens into human skin in vivo

2005 ◽  
Vol 125 ◽  
pp. 757-759 ◽  
Author(s):  
F. Pedrochi ◽  
E. Sehn ◽  
A. N. Medina ◽  
A. C. Bento ◽  
M. L. Baesso ◽  
...  
Keyword(s):  
Human Skin ◽  
Photoacoustic Spectroscopy ◽  
Penetration Rate

Photoacoustic in vivo study of the penetration of sunscreen into human skin

1986 ◽  
Vol 64 (9) ◽  
pp. 1139-1141 ◽  
Author(s):  
K. Giese ◽  
A. Nicolaus ◽  
B. Sennhenn ◽  
K. Kölmel
Keyword(s):  
Human Skin ◽  
Photoacoustic Spectroscopy ◽  
In Vivo Study ◽  
Experimental Setup ◽  
In Vivo Measurements ◽  
Transfer Properties

Photoacoustic spectroscopy offers the opportunity of detecting the diffusion of light-absorbing drugs into the skin. We report on in vivo measurements on human skin treated with sunscreens. The experimental setup is described, and the transfer properties of the open-ended detector are discussed theoretically and experimentally.

Independent Component Analysis of Multiple-Component Gaseous Photoacoustic Spectroscopy to Determine Feature Absorption

2012 ◽  
Vol 518-523 ◽  
pp. 1544-1551 ◽  
Author(s):  
Zhi Ying Wu ◽  
Nan Nan Gai
Keyword(s):  
Pattern Recognition ◽  
Photoacoustic Spectroscopy ◽  
Statistical Information ◽  
Independent Component ◽  
Similar Species ◽  
Detection Experiment ◽  
Fastica Algorithm ◽  
Multiple Component ◽  
Separation Model

A blind source separation model out of statistical information principle is applied to “decode” multi-gas photoacoustic spectroscopy from mixing signal into a couple of single independent component based on samples from a given detection experiment and A FastICA algorithm with used in the mode is introduced to separate the spectroscopy of low molecule mass by a feature extraction or to track that of higher-mass volatile molecule by a pattern recognition, such as acetone or its similar-species molecules. The research has exhibited its glamour by successfully extracting ammonia feature absorption in the real-time detection of breath ammonia in vivo.

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