Suppr超能文献

基于胰蛋白酶固定化氧化石墨烯-聚(脲-甲醛)复合涂层的微流控芯片生物反应器用于高效肽图分析。

Microchip bioreactors based on trypsin-immobilized graphene oxide-poly(urea-formaldehyde) composite coating for efficient peptide mapping.

机构信息

School of Pharmacy, Department of Chemistry, Fudan University, 220 Handan Road, Shanghai 200433, China.

出版信息

Talanta. 2013 Dec 15;117:119-26. doi: 10.1016/j.talanta.2013.08.052. Epub 2013 Sep 3.

Abstract

Trypsin was covalently immobilized to graphene oxide (GO)-poly(urea-formaldehyde) (PUF) composite coated on the channel wall of poly(methyl methacrylate) microchips to fabricate microfluidic bioreactors for highly efficient proteolysis. A mixture solution containing urea-formaldehyde prepolymer and GO nanosheets was allowed to flow through the channels. The modification layer on the channel wall could further polycondense to form GO-PUF composite coating in the presence of ammonium chloride. The primary amino groups of trypsin could react with the carboxyl groups of the GO sheets in the coating with the aid of carboxyl activating agents to realize covalent immobilization. The feasibility and performance of the novel GO-based microchip bioreactors were demonstrated by the digestion of bovine serum albumin, lysozyme, ovalbumin, and myoglobin. The digestion time was significantly reduced to less than 5s. The obtained digests were identified by MALDI-TOF MS with satisfactory sequence coverages that were comparable to those obtained by using 12-h in-solution digestion. The present proteolysis strategy is simple and efficient, offering great promise for high-throughput protein identification.

摘要

胰蛋白酶通过共价固定在涂覆在聚甲基丙烯酸甲酯微流控芯片通道壁上的氧化石墨烯-聚(脲-甲醛)(GO-PUF)复合涂层上,用于制备用于高效蛋白水解的微流控生物反应器。将含有脲-甲醛预聚物和 GO 纳米片的混合溶液流经通道。在氯化铵的存在下,修饰层在通道壁上进一步缩聚形成 GO-PUF 复合涂层。在羧基活化剂的帮助下,胰蛋白酶的伯氨基与涂层中的 GO 片的羧基反应,实现共价固定。通过牛血清白蛋白、溶菌酶、卵清蛋白和肌红蛋白的消化,验证了新型基于 GO 的微芯片生物反应器的可行性和性能。消化时间显著缩短至 5s 以内。通过 MALDI-TOF MS 鉴定得到的酶解产物,其序列覆盖率令人满意,与使用 12 h 溶液内消化得到的结果相当。该蛋白水解策略简单高效,为高通量蛋白质鉴定提供了广阔的前景。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验