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City University of New York - City College

Analysis of Blue Fountain Pen Ink by UV-Vis Spectroscopy, ATR-FTIR Spectroscopy, and Thin Layer Chromatography Enhanced with RGB Spot Evaluation to Construct a Database for Comparison and Identification.

Abstract

dc:description.abstract

<p>Pen ink can be a crucial piece of physical evidence in the area of Forensic Science. For example, evidence such as notes, letters, printed documents, checks, currency, ransom notes, and books may contain ink. Analysis of ink is typically done for identification or differentiation purposes. To improve existing methods, it was proposed to create a database with many samples and experimental information. The methods used and evaluated were thin-layer chromatography (TLC) enhanced with RGB spot evaluation, UV-Vis spectroscopy, and ATR-FTIR spectroscopy. All three methods were used to analyze 89 fountain pen ink samples. All three methods were able to discriminate between the majority of the ink samples. However, some samples were still similar and difficult to differentiate with a single method. Using more than one method proved advantageous in discriminating more samples.</p>

Degree

thesis:*
Name thesis:degree_name
Master of Science (M.S.)
Level thesis:degree_level
Thesis
Discipline thesis:degree_discipline
Chemistry
Year dc:date.available
2022

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Quinteros, Elliot D
Contributors dc:contributor
  • John Lombardi
  • Thomas Kubic
  • Barbara Zajc

Subjects

dc:subject × 7

Identifiers

dc:identifier.*
Repository record dc:identifier
https://academicworks.cuny.edu/cc_etds_theses/1000
OAI identifier oai:identifier
oai:academicworks.cuny.edu:cc_etds_theses-2049

Chain of custody

source
Harvested from
City University of New York - City College
Base URL
academicworks.cuny.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Quinteros, Elliot D. Analysis of Blue Fountain Pen Ink by UV-Vis Spectroscopy, ATR-FTIR Spectroscopy, and Thin Layer Chromatography Enhanced with RGB Spot Evaluation to Construct a Database for Comparison and Identification.. Thesis thesis, 2022. https://academicworks.cuny.edu/cc_etds_theses/1000