Analysis of benzylpenicillin in milk using MALDI-TOF mass spectrometry with top-down synthesized TiO2 nanowires as the solid matrix

Jo Il Kim; Jong Min Park; Joo Yoon Noh; Seong Ju Hwang; Min Jung Kang; Jae Chul Pyun

doi:10.1016/j.chemosphere.2015.04.002

Analysis of benzylpenicillin in milk using MALDI-TOF mass spectrometry with top-down synthesized TiO₂ nanowires as the solid matrix

Jo Il Kim, Jong Min Park, Joo Yoon Noh, Seong Ju Hwang, Min Jung Kang, Jae Chul Pyun

Department of Materials Science and Engineering

Research output: Contribution to journal › Article › peer-review

29 Citations (Scopus)

Abstract

In this work, the wet-corrosion process for the synthesis of titanium oxide (TiO₂) nanowires in the anatase phase was optimized as the solid matrix in MALDI-TOF mass spectrometry, and the solid matrix of the TiO₂ nanowires was applied to the detection of antibiotics in a daily milk sample. The influence of the alkali concentration and the heat treatment temperature on the crystal structure of the TiO₂ nanowires was investigated. The ionization activity of the TiO₂ nanowires was estimated for each synthetic condition using amino acids as model analytes with low molecular weights. For the detection of antibiotics in milk, benzylpenicillin was spiked in daily milk samples, and MALDI-TOF mass spectrometry with the TiO₂ nanowires was demonstrated to detect the benzylpenicillin at the cut-off concentration of the EU directive.

Original language	English
Pages (from-to)	64-70
Number of pages	7
Journal	Chemosphere
Volume	143
DOIs	https://doi.org/10.1016/j.chemosphere.2015.04.002
Publication status	Published - 2016 Jan 1

Bibliographical note

Funding Information:
This research was supported by the National Research Foundation (NRF) funded from the Korean government ( 2014M3A9E5073818 and 2012R1A2A2A03047461 ), and by Korea Small and Medium Business Administration ( S2220656 ). This work was also supported by the Yonsei University Research Fund of 2014.

Publisher Copyright:
© 2015 Elsevier Ltd.

All Science Journal Classification (ASJC) codes

Environmental Engineering
Environmental Chemistry
Chemistry(all)
Pollution
Health, Toxicology and Mutagenesis

Access to Document

10.1016/j.chemosphere.2015.04.002

Cite this

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title = "Analysis of benzylpenicillin in milk using MALDI-TOF mass spectrometry with top-down synthesized TiO2 nanowires as the solid matrix",

abstract = "In this work, the wet-corrosion process for the synthesis of titanium oxide (TiO2) nanowires in the anatase phase was optimized as the solid matrix in MALDI-TOF mass spectrometry, and the solid matrix of the TiO2 nanowires was applied to the detection of antibiotics in a daily milk sample. The influence of the alkali concentration and the heat treatment temperature on the crystal structure of the TiO2 nanowires was investigated. The ionization activity of the TiO2 nanowires was estimated for each synthetic condition using amino acids as model analytes with low molecular weights. For the detection of antibiotics in milk, benzylpenicillin was spiked in daily milk samples, and MALDI-TOF mass spectrometry with the TiO2 nanowires was demonstrated to detect the benzylpenicillin at the cut-off concentration of the EU directive.",

author = "Kim, {Jo Il} and Park, {Jong Min} and Noh, {Joo Yoon} and Hwang, {Seong Ju} and Kang, {Min Jung} and Pyun, {Jae Chul}",

note = "Funding Information: This research was supported by the National Research Foundation (NRF) funded from the Korean government ( 2014M3A9E5073818 and 2012R1A2A2A03047461 ), and by Korea Small and Medium Business Administration ( S2220656 ). This work was also supported by the Yonsei University Research Fund of 2014. Publisher Copyright: {\textcopyright} 2015 Elsevier Ltd.",

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AU - Noh, Joo Yoon

AU - Hwang, Seong Ju

AU - Kang, Min Jung

AU - Pyun, Jae Chul

N1 - Funding Information: This research was supported by the National Research Foundation (NRF) funded from the Korean government ( 2014M3A9E5073818 and 2012R1A2A2A03047461 ), and by Korea Small and Medium Business Administration ( S2220656 ). This work was also supported by the Yonsei University Research Fund of 2014. Publisher Copyright: © 2015 Elsevier Ltd.

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