Basu Deeparati, Hossain Syed Minhaz, Das Jayoti
Departmemt of Physics, Jadavpur University, Kolkata, India.
Department of Physics, IIEST Shibpur, Howrah, India.
Appl Phys A Mater Sci Process. 2022;128(8):688. doi: 10.1007/s00339-022-05803-7. Epub 2022 Jul 17.
In this work, a multi-parametric optical sensor based on chitosan-silica nanocomposite (CSNC) porous thin film has been developed for effective detection of glucose in pathological range. The CSNC films were surface functionalized with Glucose Oxidase enzyme via Glutaraldehyde crosslinking chains for better attachment of enzyme molecules on thin film surface. FESEM and FTIR were performed for morphological and compositional characterisation of the composite films. Five interlinked optical parameters, i.e., transmittance (T), reflectance (R), internal scattering (IS), surface scattering (SS) and output power (OP) were measured simultaneously using image processing environment for cost efficiency of the system. Effect of surface functionalization on individual parameter response was studied. It was observed that without surface functionalization only two parameters change significantly, while surface functionalization enables all five parameters. For lower and higher glucose concentration (< 17 mM and > 17 mM), IS and SS were found to be maximum sensitive among the five parameters, respectively. Maximum sensitivity of 1.2 mM in IS and 1 mM in SS were observed for surface functionalized samples. The sensor showed good sensitivity, selectivity and reproducibility in the dynamic range of 3-30 mM and LOD of the sensor was found to be 0.76 mM. CSNC sensors were found suitable for single-time use and as mass production is possible with little amount of composite solution (250 sensors with just 10-ml composite solution), the sensor fabrication method is very much cost efficient. Image processing-based multi-parametric sensing is a novel field itself and detailed study of surface modified CSNC glucose sensors utilizing such sensing system is a unique work having potential to significantly contribute in the field of multi-parametric label-free optical biosensor research.
在这项工作中，基于壳聚糖-二氧化硅纳米复合材料（CSNC）多孔薄膜开发了一种多参数光学传感器，用于有效检测病理范围内的葡萄糖。通过戊二醛交联链用葡萄糖氧化酶对CSNC薄膜进行表面功能化，以便酶分子更好地附着在薄膜表面。对复合薄膜进行了场发射扫描电子显微镜（FESEM）和傅里叶变换红外光谱（FTIR）分析，以表征其形态和成分。利用图像处理环境同时测量了五个相互关联的光学参数，即透射率（T）、反射率（R）、内部散射（IS）、表面散射（SS）和输出功率（OP），以提高系统的成本效益。研究了表面功能化对各个参数响应的影响。结果表明，未经表面功能化时，只有两个参数有显著变化，而表面功能化使所有五个参数都能发生变化。对于较低和较高的葡萄糖浓度（<17 mM和>17 mM），在五个参数中，IS和SS分别被发现是最敏感的。表面功能化样品的IS最大灵敏度为1.2 mM，SS最大灵敏度为1 mM。该传感器在3-30 mM的动态范围内表现出良好的灵敏度、选择性和重现性，传感器的检测限为0.76 mM。发现CSNC传感器适用于一次性使用，并且由于只需少量复合溶液（10毫升复合溶液可制备250个传感器）就可以进行大规模生产，因此该传感器的制造方法非常具有成本效益。基于图像处理的多参数传感本身就是一个新领域，利用这种传感系统对表面改性的CSNC葡萄糖传感器进行详细研究是一项独特的工作，有可能在多参数无标记光学生物传感器研究领域做出重大贡献。
