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线性石墨烯纳米复合材料的合成及其在金花茶种子氨基酸检测中的分析应用。

Linear Graphene Nanocomposite Synthesis and an Analytical Application for the Amino Acid Detection of Camellia nitidissima Chi Seeds.

作者信息

Cheng Jinsheng, Zhong Ruimin, Lin Jiajian, Zhu Jianhua, Wan Weihong, Chen Xinyan

机构信息

School of Ying-Dong Food Sciences and Engineering, Shaoguan University, Shaoguan 512005, China.

Soochow Tanfeng Graphene Technology Co. Ltd., Suzhou 215100, China.

出版信息

Materials (Basel). 2017 Apr 24;10(4):443. doi: 10.3390/ma10040443.

Abstract

Husk derived amino modified linear graphene nanocomposites (aLGN) with a diameter range of 80-300 nm and a length range of 100-300 μm were prepared by a modified Hummers method, ammonia treatment, NaBH₄ reduction and phenylalanine induced assembly processes, etc. The resulting composites were characterized by transmission electron microscopy (TEM), atomic force microscopy (AFM), scanning electron microscopy (SEM), biological microscope (BM), and X-ray diffraction spectroscopy (XRD), etc. Investigations found that the aLGN can serve as the novel coating of stir bar sorptive extraction (SBSE) technology. By combing this technology with gas chromatography-mass spectrometry (GC-MS), the combined SBSE/GC-MS technology with an aLGN coating can detect seventeen kinds of amino acids of Chi seeds, including Ala, Gly, Thr, Ser, Val, Leu, Ile, Cys, Pro, Met, Asp, Phe, Glu, Lys, Tyr, His, and Arg. Compared to a conventional polydimethylsiloxane (PDMS) coating, an aLGN coating for SBSE exhibited a better thermal desorption performance, better analytes fragmentation depressing efficiencies, higher peak intensities, and superior amino acid discrimination, leading to a practicable and highly distinguishable method for the variable amino acid detection of Chi seeds.

摘要

通过改进的Hummers法、氨处理、NaBH₄还原和苯丙氨酸诱导组装等工艺制备了直径范围为80 - 300 nm、长度范围为100 - 300 μm的稻壳衍生氨基修饰线性石墨烯纳米复合材料(aLGN)。通过透射电子显微镜(TEM)、原子力显微镜(AFM)、扫描电子显微镜(SEM)、生物显微镜(BM)和X射线衍射光谱(XRD)等对所得复合材料进行了表征。研究发现,aLGN可作为搅拌棒吸附萃取(SBSE)技术的新型涂层。通过将该技术与气相色谱 - 质谱联用(GC - MS),带有aLGN涂层的组合SBSE/GC - MS技术能够检测奇亚籽中的十七种氨基酸,包括丙氨酸(Ala)、甘氨酸(Gly)、苏氨酸(Thr)、丝氨酸(Ser)、缬氨酸(Val)、亮氨酸(Leu)、异亮氨酸(Ile)、半胱氨酸(Cys)、脯氨酸(Pro)、蛋氨酸(Met)、天冬氨酸(Asp)、苯丙氨酸(Phe)、谷氨酸(Glu)、赖氨酸(Lys)、酪氨酸(Tyr)、组氨酸(His)和精氨酸(Arg)。与传统的聚二甲基硅氧烷(PDMS)涂层相比,用于SBSE的aLGN涂层表现出更好的热解吸性能、更好的分析物碎片化抑制效率、更高的峰强度以及卓越的氨基酸区分能力,从而形成了一种可行且高度可区分的奇亚籽中多种氨基酸检测方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d34f/5506894/f0e4675d29ef/materials-10-00443-g001.jpg

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