Browsing by Author "Shukla, S. K."
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Article Chemically modified optical fibers in advanced technology: An overview(Elsevier Sci Ltd, 2019) Shukla, S. K.; Kushwaha, Chandra Shekhar; Guner, Tugrul; Demir, Mustafa M.In recent years, chemically modified optical fibers have widely used for development of several advanced chemical and biosensors, biomedical technology and environmental monitoring. The chemically modified optical fiber bears several valuable properties like energy loss, catalytic behaviour, refractive index, and mechanical strength to advance the optical fiber technology. In this article, we reviewed the chemically-modified optical fiber and their applications in different optical fiber-based technologies. The basics of optical fiber and their modification are discussed along with the adopted methodologies. The advancements in different optical fiber based technologies viz sensing, imaging, tomography, magnetic resonance imaging, photodynamic therapy, optogenics, surgery and environmental monitoring are discussed in the light of the contribution of chemically modified optical fibers. In conclusion, success and challenges for the use of chemically modified-optical fiber are presented on the basis of existing literature.Article Optical fibre based non-enzymatic glucose sensing over Cu2+-doped polyaniline hybrid matrix(Elsevier Science Sa, 2017) Shukla, Sudheesh K.; Demir, Mustafa M.; Govender, Penny P.; Tiwari, Ashutosh; Shukla, S. K.The opto-chemical glucose sensing over cupric ion doped polyaniline (Cu+2/PANI) hybrid polymer matrix coated glass rod based optode has been demonstrated.Cu+2/PANI hybrid matrix was synthesized by in situ chemical polymerization of intrinsically functionalized aniline. Furthermore, developed optode has been explored for direct oxidisation of glucose on Cu+2/PANI hybrid matrix for non-enzymatic glucose sensing employing O-dianisidine indicator system. The proposed glucose sensor works well in range of 50 mg/dL-200 mg/dL with response time of 15 s in artificial as well as in biological samples along with 40 days of lifespan. (C) 2016 Elsevier B.V. All rights reserved.

