umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Selective detection of TNT withmodified SERS-surfaces: Investigation of TNT adsorption and detection using goldand silver nano structured surfaces modified by cysteineand cysteamine
Umeå University, Faculty of Science and Technology, Department of Chemistry.
2010 (English)Independent thesis Advanced level (degree of Master (One Year)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

In the search for trace amounts of explosives in various environmental samples, the

analytical procedure is in need of improvements. If it is for national security or for

environmental purposes the detection of trace amounts of for example 2,4,6-

trinitrotoluene (TNT) is a costly and time consuming procedure. The use of Raman

spectrometry for trace amounts detection is one of the research areas that are in the

advancement and mainly because of the discovery of Surface-Enhanced Raman

spectroscopy (SERS). Raman spectrometry detects the inelastically scattered light

from molecules giving a fingerprint spectrum that can be interpreted and species can

be detected. The inelastically scattering of light only occurs in a small amount of the

molecules making the signal low and sensitive for interferences. SERS enhances the

signal from the molecules making it possible to detect very low concentrations. The

surfaces used in SERS need to be selective for the wanted species to be useful for the

analysis of environmental samples that often contains a wide variety of compounds.

This project’s aim was to investigate the possibility of modifying gold- and silvercoated

SERS surfaces (provided by DTU Nanotech) to get a selective detection of

trace amounts of TNT in water and air samples.

The results from the modification indicated some problems with the surfaces. The

modification molecules were cysteine or cysteamine. The hypothesis was that both of

them should bind to the surface by sulphur bond. But for cysteine this was not the

case. The results indicated a binding of the carboxyl group making the use of the

modification for the selective detection of TNT impossible. The modification by

cysteamine was more successful but the detection of TNT in water samples was hard

to get clear results from. The detection of TNT in air samples was carried out by a

method never tested before using a so-called Linkam cell in conjunction with a TNT

treated GC-column which together create a controlled environment. The results from

this experiment were very positive where a clear SERS-signal from TNT could be

detected.

Place, publisher, year, edition, pages
2010. , 29 p.
National Category
Inorganic Chemistry
Identifiers
URN: urn:nbn:se:umu:diva-56599OAI: oai:DiVA.org:umu-56599DiVA: diva2:536052
External cooperation
FOI
Uppsok
Physics, Chemistry, Mathematics
Supervisors
Examiners
Available from: 2012-06-21 Created: 2012-06-21 Last updated: 2012-06-21Bibliographically approved

Open Access in DiVA

fulltext(1011 kB)1171 downloads
File information
File name FULLTEXT01.pdfFile size 1011 kBChecksum SHA-512
6bbda9a14850757edf553bd0aa5f3fe62d1ac006663242d603fe0f5630e4c7aba13fdcc7035d84e62717c43b281ad8d1b03b7ed06e60a9b960ec8fe86038cf52
Type fulltextMimetype application/pdf

By organisation
Department of Chemistry
Inorganic Chemistry

Search outside of DiVA

GoogleGoogle Scholar
Total: 1171 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 1594 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf