CHEN Zhi,FENG Ze-yang,ZENG Li-xi,ZHAO Jing,WANG Guang,ZHANG Na,XIE Yi-qiao.Study on the Determination of Polystyrene Microplastics in Whole Blood by PY/GC-MS and the Influence of Matrix Effects[J].Journal of Instrumental Analysis,2025,44(05):906-912.
CHEN Zhi,FENG Ze-yang,ZENG Li-xi,ZHAO Jing,WANG Guang,ZHANG Na,XIE Yi-qiao.Study on the Determination of Polystyrene Microplastics in Whole Blood by PY/GC-MS and the Influence of Matrix Effects[J].Journal of Instrumental Analysis,2025,44(05):906-912. DOI: 10.12452/j.fxcsxb.240912393.
Study on the Determination of Polystyrene Microplastics in Whole Blood by PY/GC-MS and the Influence of Matrix Effects
In order to investigate the matrix effect of microplastics in whole blood samples by pyrolysis gas chromatography-mass spectrometry(PY/GC-MS) and establish a quantitative method,this paper takes polystyrene microplastics as the research object,and uses three substrates and two pretreatment methods respectively to carry out group experiments. In order to find the optimal pretreatment method to reduce the influence of matrix effect. The results showed that there were significant matrix enhancement effects in different matrix supplemented samples. However,the matrix effect after pretreatment with potassium hydroxide(KOH) reagent was significantly weakened,and it was superior to the current mainstream enzymatic pretreatment results. This pretreatment method was significantly superior to enzyme method,easy to operate,and low reagent cost. It can be applied to the pretreatment of large quantities of samples and is currently the optimal pretreatment method. Finally,a quantitative method for determining polystyrene microplastics in whole blood samples using PY/GC-MS was established based on the optimized preprocessing method in this article. This method demonstrates a detection limit of 26 ng/mL and a quantification limit of 100 ng/mL,which can be used for practical applications. The research will have important reference value for the quantitative detection of microplastics in other biological matrices.
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