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基于固定在铂纳米粒子修饰的碳纳米纤维和聚(二烯丙基二甲基氯化铵)薄膜上的乳酸氧化酶的一次性安培生物传感器。

Disposable amperometric biosensor based on lactate oxidase immobilised on platinum nanoparticle-decorated carbon nanofiber and poly(diallyldimethylammonium chloride) films.

机构信息

Sensors Unit, Materials Division, IK4-CIDETEC, Parque Tecnológico de San Sebastián, Paseo Miramón 196, 20009 Donostia-San Sebastián, Spain.

Sensors Unit, Materials Division, IK4-CIDETEC, Parque Tecnológico de San Sebastián, Paseo Miramón 196, 20009 Donostia-San Sebastián, Spain.

出版信息

Biosens Bioelectron. 2014 Jun 15;56:345-51. doi: 10.1016/j.bios.2014.01.047. Epub 2014 Jan 31.

Abstract

A novel biosensor for lactate has been developed, using screen-printed carbon electrodes (SPCE) and lactate oxidase (LOx). The active surface of the electrodes was modified using a dispersion of platinum nanoparticle decorated carbon nanofibers (PtNp-CNF) in poly(diallyldimethylammonium) chloride (PDDA) solution. In this way, sensitive, disposable, low cost and reliable hydrogen peroxide sensors were obtained. The immobilisation of LOx on top of these PtNp-CNF-PDDA/SPCEs resulted in amperometric biosensors with high operational stability. The sensitivity of the optimised lactate biosensor was 36.8 (mA/Mcm(2)) with a linear range of 25-1500 µM. The limit of detection was 11 µM (S/N=3). Reproducibility, selectivity and storage stability were also evaluated. Additionally, the stability of the biosensor was also predicted by a model based on thermal degradation. Finally, lactate in sweat and blood samples was determined in a sport test using LOx/PtNp-CNF-PDDA/SPCEs and commercial biosensors respectively. Based on these data, the validity of the sweat lactate for the determination of the lactate threshold is discussed.

摘要

已经开发出一种新型的乳酸生物传感器,使用丝网印刷碳电极(SPCE)和乳酸氧化酶(LOx)。通过在聚二烯丙基二甲基氯化铵(PDDA)溶液中分散铂纳米粒子修饰的碳纳米纤维(PtNp-CNF)来修饰电极的活性表面。通过这种方式,获得了灵敏、一次性、低成本和可靠的过氧化氢传感器。将 LOx 固定在这些 PtNp-CNF-PDDA/SPCE 上,得到了具有高操作稳定性的电流型生物传感器。优化后的乳酸生物传感器的灵敏度为 36.8(mA/Mcm(2)),线性范围为 25-1500 µM。检测限为 11 µM(S/N=3)。还评估了重现性、选择性和存储稳定性。此外,还通过基于热降解的模型预测了生物传感器的稳定性。最后,使用 LOx/PtNp-CNF-PDDA/SPCE 分别在运动测试中测定汗液和血液样本中的乳酸。基于这些数据,讨论了汗液乳酸用于确定乳酸阈值的有效性。

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