研究目的
To develop high-throughput analytical methods for determination of citalopram in fish brain tissues by LDTD-APCI in combination with low- and high-resolution mass spectrometers.
研究成果
The LDTD-APCI-HRPS method represents a comparable and beneficial alternative to traditional LC-HESI-HRPS methods, offering rapid reduction of analysis time and sample treatment requirements. It is particularly useful for analyses with critically small sample amounts.
研究不足
The direct sample introduction technique may not be suitable for multi-residue analysis due to limited acquisition speed of the high-resolution mass spectrometer and short desorption time of the chemical by LDTD. Additionally, the method may present false-positive results for analytes with identical m/z of precursors and major fragmentation products.
1:Experimental Design and Method Selection:
The study employed laser diode thermal desorption with atmospheric pressure chemical ionization mass spectrometry (LDTD-APCI-MS) for the analysis of citalopram in fish brain tissues. Two mass spectrometric methods based on low (LDTD-APCI-QqQ-MS/MS) and high (LDTD-APCI-HRPS) resolutions were developed and evaluated.
2:Sample Selection and Data Sources:
Fish brain tissue samples from juvenile chubs exposed to citalopram were used. The samples were prepared by extraction with a mixture of solvents, internal standards, and a stainless steel ball, followed by centrifugation and protein precipitation.
3:List of Experimental Equipment and Materials:
Equipment included a T-960 LDTD-APCI ion source, TSQ Quantum Ultra triple quadrupole mass spectrometer, Q Exactive hybrid high-resolution mass spectrometer, and TissueLyser II for sample preparation.
4:Experimental Procedures and Operational Workflow:
Samples were spotted in cells of a LazWell 96-well plate and allowed to evaporate to dryness. The LDTD-APCI method was optimized for laser energy and sample volume.
5:Data Analysis Methods:
Data acquisition and post-processing were performed using Xcalibur 3.0 and TraceFinder 3.3 software. Method performance was evaluated based on accuracy, precision, linearity, intraday precision, LOQ, and LOD.
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