Separation of Blue Ballpoint Pen Inks- A Comparison of Solvent Systems on Thin Layer Chromatography Techniques
รหัสดีโอไอ
Creator Vasinee Sombut
Title Separation of Blue Ballpoint Pen Inks- A Comparison of Solvent Systems on Thin Layer Chromatography Techniques
Contributor Ploysai Ohama, Saowanee Kumpun, Narong Kulnides, Boon-ek Yingyongnarongkul
Publisher Faculty of Science and Technology, Suan Sunandha Rajabhat University
Publication Year 2561
Journal Title Suan Sunandha Science and Technology Journal
Journal Vol. 5
Journal No. 1
Page no. 20 to 27
Keyword forensic, ballpoint pen inks, thin-layer chromatography, ink analysis
URL Website www.ssstj.sci.ssru.ac.th
Website title Suan Sunandha Science and Technology Journal (SSSTJ)
ISSN 2351-0889
Abstract This article is chromatographic analysis of inks for forensic science. Thin layer chromatographic technique (TLC) is often used in separation of writing inks because it is rapid and requires no sophisticated instrumentation. The repeatability and reproducibility of TLC analyses of inks depend on several factors. However, the critical importance is the use of solvent for the extraction process and for mobile phase. The purpose of the present study is to compare the effectiveness of blue ballpoint pen ink separation by TLC between different solvent extraction and variant mobile phase systems. Thirty blue ballpoint pens commonly used in Thailand were extracted from document then three solvents (ethanol, acetone or dichloromethane) and five solvent systems as mobile phase were used to separate pigment compounds in each sample. The Rf values were calculated for discrimination analysis of all blue pens via two-way ANOVA. The results showed that the most important factor affecting ink classification was solvent extraction. The ethanol was the best solvent for extraction and the optimal mobile phase was n-butanol: ethanol: water (50:15:10 v/v/v) having statistically significant level of 0.05. This mobile phase system could be used to classify all 30 inks into 12 different groups with the discrimination power (DP) of 89.20%. In the future, the qualitative data from TLC plates will more reliable by multivariate statistical techniques can also be applied on effectively interpretation.
Suan Sunandha Science and Technology Journal

บรรณานุกรม

EndNote

APA

Chicago

MLA

ดิจิตอลไฟล์

Digital File
DOI Smart-Search
สวัสดีค่ะ ยินดีให้บริการสอบถาม และสืบค้นข้อมูลตัวระบุวัตถุดิจิทัล (ดีโอไอ) สำนักการวิจัยแห่งชาติ (วช.) ค่ะ