基于石墨烯/纤维状二氧化硅纳米杂化材料的固相萃取和亲水作用色谱-质谱法分析对河蚬（Corbicula fluminea）的脂质组学表型分析

Lipidomics phenotyping of clam (Corbicula fluminea) through graphene/fibrous silica nanohybrids based solid-phase extraction and HILIC-MS analysis.

机构信息

Collaborative Innovation Center of Seafood Deep Processing, Zhejiang Province Joint Key Laboratory of Aquatic Products Processing, Institute of Seafood, Zhejiang Gongshang University, Hangzhou, China.

Institute of Dairy Science, College of Animal Sciences, Zhejiang University, Hangzhou, China.

出版信息

Food Chem. 2021 Aug 30;354:129565. doi: 10.1016/j.foodchem.2021.129565. Epub 2021 Mar 13.

DOI:10.1016/j.foodchem.2021.129565

PMID:33756323

Abstract

Polyunsaturated phospholipids are abundant in clam (Corbicula fluminea) but difficult to be fully extracted. Herein, graphene/fibrous silica (G/KCC-1) nanohybrids were synthesized, characterized, and applied for solid-phase extraction (SPE) of phospholipids in clam. The effectiveness of G/KCC-1 SPE was verified by hydrophilic interaction chromatography mass spectrometry (HILIC-MS) based lipidomics and statistical analysis. The ions of PE 16:0/18:1 (m/z 716.4), PC 16:0/20:5 (m/z 824.6) and etc. were regarded as the main difference among the crude lipids, acetone washed extract, and eluate of G/KCC-1 SPE. Finally, this method was validated in terms of linearity (R 0.9965 to 0.9981), sensitivity (LOD 0.19-0.51 μg·mL and LOQ 0.48 - 1.47 μg·mL), and precision (RSD ≤ 7.16% and RSD ≤ 7.30%). In conclusion, the G/KCC-1 SPE and HILIC-MS method was shown to be accurate and efficient in selective extracting and phenotyping phospholipids in C. fluminea.

摘要

多不饱和磷脂在蛤蜊（Corbicula fluminea）中含量丰富，但难以被完全提取。本文中，合成了石墨烯/纤维状硅（G/KCC-1）纳米杂化材料，并将其用于蛤蜊中磷脂的固相萃取（SPE）。基于亲水作用色谱质谱（HILIC-MS）的脂质组学和统计分析验证了 G/KCC-1 SPE 的有效性。PE 16:0/18:1（m/z 716.4）、PC 16:0/20:5（m/z 824.6）等离子被认为是粗脂质、丙酮洗涤提取物和 G/KCC-1 SPE 洗脱液之间的主要差异。最后，该方法在线性范围（R 0.9965 至 0.9981）、灵敏度（LOD 0.19-0.51μg·mL 和 LOQ 0.48-1.47μg·mL）和精密度（RSD≤7.16%和 RSD≤7.30%）方面进行了验证。综上所述，G/KCC-1 SPE 和 HILIC-MS 方法在选择性提取和鉴定 C. fluminea 中磷脂的表型方面表现出准确和高效的特点。