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Updated: Oct 2, 2026

Rapid and Efficient Spatiotemporal Monitoring of Normal and Aberrant Cytosine Methylation within Intact Zebrafish Embryos
Published on: August 18, 2022
MS3 acquisition and μ-SPE cleanup enable sensitive quantification of PPG1000 in zebrafish tissues: systematic
Jiarui Zhang1,2, Zichang Tian3, Jinqing Wu2
1Central Hospital of Dalian University of Technology, Dalian University of Technology, Dalian, Liaoning 116023, P.R. China. leiyin@dlut.edu.cn.
Abstract:
Polypropylene glycol 1000 (PPG1000) is a hydrophilic polymer widely used in pharmaceuticals and industry, but quantifying it in complex biological samples remains challenging. This study develops and validates a sensitive UPLC-MS/MS method for PPG1000 measurement in zebrafish tissues. The method combines micro-solid-phase extraction (μ-SPE) cleanup with a 2.5 min chromatographic run and MS3 detection for PPG1000-equivalent quantification in zebrafish tissues. We systematically compared three mass spectrometric acquisition modes: multiple reaction monitoring (MRM), MS3, and in-source collision-induced dissociation (CID). The ammonium adduct [M + NH4]+ of the 15-mer oligomer (m/z 906.6) served as the precursor ion. MS3 using a linear ion trap (m/z 906.6 → 175.1 → 117.1) delivered the highest signal intensity (3.6 × 106 cps), approximately 3.3-fold and 40-fold higher than MRM and CID, respectively. Integrating μ-SPE further improved method performance over conventional protein precipitation. The method showed excellent linearity (100 to 10 000 ng mL-1, r > 0.997) and was applied to zebrafish tissue distribution after aqueous exposure to 200 μg mL-1 PPG1000. All three tissues (gill, liver, and brain) exhibited increasing concentrations from 2 to 4 h, with the gill showing the highest accumulation. Detectable brain levels suggest partial blood-brain barrier penetration. This work provides the first systematic comparison of MRM, MS3, and in-source CID for PPG quantification, establishing a sensitive analytical platform with complementary greenness and practical applicability assessments using AGREE, AGSA, CACI, and GEMAM, for polymer bioanalysis in complex matrices.
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