Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractEgg yolk immunoglobulin interactions with Porphyromonas gingivalis to impact periodontal inflammation and halitosis    Next AbstractContribution of Atmospheric Oxygenated Organic Compounds to Particle Growth in an Urban Environment »

Angew Chem Int Ed Engl


Title:Detection of Exhaled Volatile Organic Compounds Improved by Hollow Nanocages of Layered Double Hydroxide on Ag Nanowires
Author(s):Qiao X; Chen X; Huang C; Li A; Li X; Lu Z; Wang T;
Address:"Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences(CAS), Beijing, 100190, China. University of Chinese Academy of Sciences, Beijing, 100049, China. Key Laboratory of Materials Processing and Mold, Ministry of Education, Zhengzhou University, China"
Journal Title:Angew Chem Int Ed Engl
Year:2019
Volume:20190930
Issue:46
Page Number:16523 - 16527
DOI: 10.1002/anie.201910865
ISSN/ISBN:1521-3773 (Electronic) 1433-7851 (Linking)
Abstract:"To detect biomarkers from human exhalation, air flow dynamics on the nanoparticle surface were explored by a surface-enhanced Raman scattering (SERS) sensor. A hollow Co-Ni layered double hydroxide (LDH) nanocage on Ag nanowires (Ag@LDH) was prepared. Ag nanowires provided amplified Raman signals for trace determination; hollow LDH nanocages served as the gaseous confinement cavity to improve capture and adsorption of gaseous analytes. The Raman intensity and logarithmic analyte concentration exhibit an approximately linear relationship; the detection limit of SERS sensors for aldehyde is 1.9x10(-9) v/v (1.9 ppb). Various aldehydes in mixed mimetic gas are distinguished by Raman spectra statistical analysis assisted by multivariate methods, including principal component analysis and hierarchical cluster analysis. The information was recorded in a barcode, which can be used for the design and development of a desktop SERS sensor analysis system for large-scale lung cancer detection"
Keywords:"Benzaldehydes/analysis Biomarkers, Tumor/analysis Exhalation Gases/chemistry Humans Hydroxides/*chemistry Limit of Detection Lung Neoplasms/diagnosis Nanostructures/*chemistry Nanowires/*chemistry Porosity Silver/*chemistry Spectrum Analysis, Raman/*metho;"
Notes:"MedlineQiao, Xuezhi Chen, Xiangyu Huang, Chuanhui Li, Ailin Li, Xiao Lu, Zhili Wang, Tie eng 21635002/Innovative Research Group Project of the National Natural Science Foundation of China/International 21621062/Instituto Nacional de Ciencia e Tecnologia da Criosfera/International Research Support, Non-U.S. Gov't Germany 2019/09/06 Angew Chem Int Ed Engl. 2019 Nov 11; 58(46):16523-16527. doi: 10.1002/anie.201910865. Epub 2019 Sep 30"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 21-09-2024