应用光纤生物传感器测量肿瘤的自体荧光光谱

光纤生物传感器是现代生物传感技术中的一个非常重要的类别。当前,许多以荧光检测为手段的光纤生物传感器已经商品化了,但几乎都是依靠检测荧光指示剂的光强来获取生物信息,而直接利用生物样品的自体荧光光谱来获取生物信息的光纤传感系统却还未上市。利用自行研发的一套三维荧光光谱光纤传感系统对新鲜的人体乳腺组织切片进行了研究,实验结果表明乳腺癌变组织与正常组织的自体荧光光谱的峰位和峰强比值存在明显区别,这是因为癌变组织的生化成分发生了根本改变。尽管其间的规律还需进一步探索,但可以展望,自体荧光光谱技术与光纤生物传感技术的结合有潜力成为人体恶性肿瘤在线原位诊断的有利工具。

Measurement of Tumor Self-fluorescence Spectra with Fiber Optical Biosensor

Fiber optical biosensor is a significant kind of modern biosensor systems.At present,many fiber optical biosensor systems depending on detecting fluorescence have been on sale,but they almost obtain the bio-informatics by the intensity of fluorescence which comes from the fluorescent indicator.On the other side,the fiber optical biosensor systems that could get the bio-informatics directly from the self-fluorescence(spectrum) of biologic samples have not come into the market.In this situation,the author started some research on the samples of fresh human breast tissues by a self-made three-dimensional fluorescence fiber optical(spectrometer.) With the results,it's found that there are many obvious differences in the self-fluorescence(spectrum) between the normal and cancerous tissues.In details,the peak value in normal tissue is on the(position) of 511 nm,while it is on the position of 513 nm around the cancerous tissue,518 nm in the core of cancerous tissue.We can observe that the position of peak value has a trend to shift to red side from normal to(cancerous) tissues.On the other side,the intensity ratio of two primary peaks in normal tissue is 0.77,while it is 0.64(around) the cancerous tissue and 0.58 in the core of cancerous tissue.We can observe that there is a decreasing trend from normal to cancerous tissues.Furthermore,the source of the spectral difference and the origin of different fluorescent bands are analyzed.Although there are still much work to do and lots of elements to reveal,it is definitely obvious that the fluorescence spectrum technique combined with fiber optical sensors technique would make great progress in on-line diagnosis of human cancer in near future.