Solid-phase microextraction and liquid chromatography/mass spectrometry in drug analysis

Kumazawa, Takeshi; Lee, Xiao‐Pen; Sato, Keizo; Сузукі, Осаму

doi:10.1016/s0003-2670(03)00680-9

Cited by 116 publications

(63 citation statements)

References 77 publications

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“…Carboxen-PDMS fiber (75 µm) purchased from Supelco (Bellefonte, PA, USA) was used to extract the volatile organic compounds (VOCs) in the headspace (HS) [43][44]. VOCs were analyzed using SPME coupled with gas chromatography/mass spectrometry (GC-MS) as previously described in details in reference [43].…”

Section: Experimental Set-up and Proceduresmentioning

confidence: 99%

Effects of ZnO quantum dots on the photostability of acrylate photopolymers used as recording materials

Goourey

Wong-Wah-Chung

Balan

et al. 2018

Polymer Degradation and Stability

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ZnO quantum dots, QDs (5 nm diameter) by their photogenerated charge carriers clearly influence the degradation of the acrylate host matrix, under conditions simulating solar light.As a result, QDs undergo a partial quenching of their fluorescence. To rationalize this influence, the investigation requires understanding the photochemical behavior of the acrylate photopolymer (carrier of ester and ether groups) in the absence of nanofiller. The matrix undergoes simultaneously a post-polymerization and photooxidative degradation. Infrared analysis and headspace gas chromatography coupled with mass spectrometry reveal that the main volatile organic compounds result from the oxidation of the ether groups, supposed to be the primary sites of degradation.The nanofiller increases the rate of degradation. Also, the concentration of the volatile organic compounds is all the more important as the doping percentage increases. However, the photostability of ZnO/polymer material strongly depends on the size of the nanoparticles.Whereas ZnO QDs display a photocatalytic effect, nanoparticles with a bigger size (10-30 nm) exhibit an unexpected UV-screening effect.

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Section: Experimental Set-up and Proceduresmentioning

confidence: 99%

Effects of ZnO quantum dots on the photostability of acrylate photopolymers used as recording materials

Goourey

Wong-Wah-Chung

Balan

et al. 2018

Polymer Degradation and Stability

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“…The theoretical foundations of SPME have been extensively addressed in the literature [29][30][31][32]. Since its development, this technique has become very popular and gained growing acceptance and increasing use in routine laboratories applications mainly to the sampling and analysis of environmental [33], food [34][35][36], forensic [37] and pharmaceutical samples [38,39]. Typically followed by GC in combination with mass spectrometric detection (MS) [40][41][42] or its multidimensional alternative, comprehensive two-dimensional GC (GC × GC-ToFMS) [43][44][45], SPME technique has been successfully used for wine samples.…”

Section: Introductionmentioning

confidence: 99%

Effectiveness of high-throughput miniaturized sorbent- and solid phase microextraction techniques combined with gas chromatography–mass spectrometry analysis for a rapid screening of volatile and semi-volatile composition of wines—A comparative study

Mendes¹,

Gonçalves²,

Câmara³

2012

Talanta

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a b s t r a c tIn this study the feasibility of different extraction procedures was evaluated in order to test their potential for the extraction of the volatile (VOCs) and semi-volatile constituents (SVOCs) from wines. In this sense, and before they could be analysed by gas chromatography-quadrupole first stage masss spectrometry (GC-qMS), three different high-throughput miniaturized (ad)sorptive extraction techniques, based on solid phase extraction (SPE), microextraction by packed sorbents (MEPS) and solid phase microextraction (SPME), were studied for the first time together, for the extraction step. To achieve the most complete volatile and semi-volatile signature, distinct SPE (LiChrolut EN, Poropak Q, Styrene-Divinylbenzene and Amberlite XAD-2) and MEPS (C 2 , C 8 , C 18 , Silica and M1 (mixed C 8 -SCX)) sorbent materials, and different SPME fibre coatings (PA, PDMS, PEG, DVB/CAR/PDMS, PDMS/DVB, and CAR/PDMS), were tested and compared. All the extraction techniques were followed by GC-qMS analysis, which allowed the identification of up to 103 VOCs and SVOCs, distributed by distinct chemical families: higher alcohols, esters, fatty acids, carbonyl compounds and furan compounds. Mass spectra, standard compounds and retention index were used for identification purposes.SPE technique, using LiChrolut EN as sorbent (SPE LiChrolut EN ), was the most efficient method allowing for the identification of 78 VOCs and SVOCs, 63 and 19 more than MEPS and SPME techniques, respectively. In MEPS technique the best results in terms of number of extractable/identified compounds and total peak areas of volatile and semi-volatile fraction, were obtained by using C 8 resin whereas DVB/CAR/PDMS was revealed the most efficient SPME coating to extract VOCs and SVOCs from Bual wine. Diethyl malate (18.8 ± 3.2%) was the main component found in wine SPE LiChrolut EN extracts followed by ethyl succinate (13.5 ± 5.3%), 3-methyl-1-butanol (13.2 ± 1.7%), and 2-phenylethanol (11.2 ± 9.9%), while in SPME DVB/CAR/PDMS technique 3-methyl-1-butanol (43.3 ± 0.6%) followed by diethyl succinate (18.9 ± 1.6%), and 2-furfural (10.4 ± 0.4%), are the major compounds. The major VOCs and SVOCs isolated by MEPS C8 were 3-methyl-1-butanol (26.8 ± 0.6%, from wine total volatile fraction), diethyl succinate (24.9 ± 0.8%), and diethyl malate (16.3 ± 0.9%). Regardless of the extraction technique, the highest extraction efficiency corresponds to esters and higher alcohols and the lowest to fatty acids.Despite some drawbacks associated with the SPE procedure such as the use of organic solvents, the time-consuming and tedious sampling procedure, it was observed that SPE LiChrolut EN , revealed to be the most effective technique allowing the extraction of a higher number of compounds (78) rather than the other extraction techniques studied.

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“…Nevertheless, its simplicity of use and fibre reusability had made SPME an attractive choice for many analytical applications (Coelho et al, 2008;Ferreira, Perestrelo, Caldeira, & Camara, 2009;Ibáñez, López-Sebastián, Ramos, Tabera, & Reglero, 1998;Perestrelo, Nogueira, & Camara, 2009). In particular in combination with GC-MS, this technique have been largely used in environmental (Ternes, 1998), food (Camara, Alves, & Marques, 2006;Cheong et al, 2010;Pereira, Pereira, & Câmara, 2011;Pozo, Pueyo, Martin-Alvarez, & Polo, 2001), forensic (Chien, Uang, Kuo, Shih, & Jen, 2000;Kumazawa, Lee, Sato, & Suzuki, 2003), pharmaceutical and biomedical (Deng, Li, & Zhang, 2004a;Deng, Zhang, & Li, 2004b;Silva, Passos, & Câmara, 2011 coffee (Risticevic, Carasek, & Pawliszyn, 2008) and biological (Moeder, Schrader, Winkler, & Popp, 2000) analysis.…”

Section: Introductionmentioning

confidence: 99%

Dynamic headspace solid-phase microextraction combined with one-dimensional gas chromatography–mass spectrometry as a powerful tool to differentiate banana cultivars based on their volatile metabolite profile

Pontes

Câmara

2012

Food Chemistry

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a b s t r a c tIn this study the effect of the cultivar on the volatile profile of five different banana varieties was evaluated and determined by dynamic headspace solid-phase microextraction (dHS-SPME) combined with one-dimensional gas chromatography-mass spectrometry (1D-GC-qMS). This approach allowed the definition of a volatile metabolite profile to each banana variety and can be used as pertinent criteria of differentiation. The investigated banana varieties (Dwarf Cavendish, Prata, Maçã, Ouro and Platano) have certified botanical origin and belong to the Musaceae family, the most common genomic group cultivated in Madeira Island (Portugal). The influence of dHS-SPME experimental factors, namely, fibre coating, extraction time and extraction temperature, on the equilibrium headspace analysis was investigated and optimised using univariate optimisation design. A total of 68 volatile organic metabolites (VOMs) were tentatively identified and used to profile the volatile composition in different banana cultivars, thus emphasising the sensitivity and applicability of SPME for establishment of the volatile metabolomic pattern of plant secondary metabolites. Ethyl esters were found to comprise the largest chemical class accounting 80.9%, 86.5%, 51.2%, 90.1% and 6.1% of total peak area for Dwarf Cavendish, Prata, Ouro, Maçã and Platano volatile fraction, respectively. Gas chromatographic peak areas were submitted to multivariate statistical analysis (principal component and stepwise linear discriminant analysis) in order to visualise clusters within samples and to detect the volatile metabolites able to differentiate banana cultivars. The application of the multivariate analysis on the VOMs data set resulted in predictive abilities of 90% as evaluated by the cross-validation procedure.

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Solid-phase microextraction and liquid chromatography/mass spectrometry in drug analysis

Cited by 116 publications

References 77 publications

Effects of ZnO quantum dots on the photostability of acrylate photopolymers used as recording materials

Effects of ZnO quantum dots on the photostability of acrylate photopolymers used as recording materials

Effectiveness of high-throughput miniaturized sorbent- and solid phase microextraction techniques combined with gas chromatography–mass spectrometry analysis for a rapid screening of volatile and semi-volatile composition of wines—A comparative study

Dynamic headspace solid-phase microextraction combined with one-dimensional gas chromatography–mass spectrometry as a powerful tool to differentiate banana cultivars based on their volatile metabolite profile

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