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基于全内反射荧光的牛乳中孕酮灵敏检测生物传感器的研制。

Development of a TIRF-based biosensor for sensitive detection of progesterone in bovine milk.

作者信息

Käppel Nina D, Pröll Florian, Gauglitz Guenter

机构信息

Eberhard-Karls-University of Tuebingen, Institute of Physical and Theoretical Chemistry (IPTC), Auf der Morgenstelle 8, 72076 Tuebingen, Germany.

出版信息

Biosens Bioelectron. 2007 Apr 15;22(9-10):2295-300. doi: 10.1016/j.bios.2006.11.030. Epub 2007 Jan 16.

Abstract

A total internal reflectance fluorescence (TIRF)-based biosensor for progesterone in bovine milk was developed and tested by measuring the progesterone level in daily milk samples for 25 days, covering a whole estrus cycle. The detection is based on total internal reflectance fluorescence. The assay has been designed as a binding-inhibition test with a progesterone derivative covalently immobilized on the sensor surface and a monoclonal anti-progesterone antibody as biological recognition element. First an existing progesterone assay was optimized by reducing the assay time per measurement, resulting in an assay time of about 5 min and reaching a limit of detection (LOD) of 0.04 ng mL(-1) and a quantification limit (LOQ) of 0.34 ng mL(-1). After calibration the assay was tested by measuring the progesterone level in daily milk samples over several weeks. An estrus cycle of a cow could be measured. As results become available within minutes without any preparation or pre-concentration of the milk samples the fully automated TIRF-based biosensor for progesterone can be used in-line in the milking parlor and thus could be an important tool for reproductive management of dairy cattle detecting heat and predicting pregnancy, which are critical parameters in milk production.

摘要

开发了一种基于全内反射荧光(TIRF)的牛乳中孕酮生物传感器,并通过测量25天每日牛奶样本中的孕酮水平进行测试,涵盖整个发情周期。该检测基于全内反射荧光。该测定设计为一种结合抑制试验,将孕酮衍生物共价固定在传感器表面,以单克隆抗孕酮抗体作为生物识别元件。首先,通过减少每次测量的测定时间对现有的孕酮测定进行优化,结果测定时间约为5分钟,检测限(LOD)达到0.04 ng mL⁻¹,定量限(LOQ)为0.34 ng mL⁻¹。校准后,通过测量数周内每日牛奶样本中的孕酮水平对该测定进行测试。可以测量奶牛的发情周期。由于无需对牛奶样本进行任何制备或预浓缩即可在数分钟内获得结果,基于TIRF的全自动孕酮生物传感器可在挤奶厅在线使用,因此可能成为奶牛繁殖管理中检测发情和预测妊娠的重要工具,而发情和妊娠是牛奶生产中的关键参数。

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