2021
DOI: 10.1016/j.sintl.2021.100111
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An amperometric cholesterol biosensor based on immobilization of cholesterol oxidase onto titanium dioxide nanoparticles

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Cited by 16 publications
(5 citation statements)
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“…In this research, the prepared MB-CIT-BCD@Fe 3 O 4 composite as a non-enzymatic cholesterol sensor exhibited good performance in terms of selectivity and LOD, and the result was consistent with the data of the computation previously performed. Furthermore, the performance of the developed sensor was excellent compared with that of the other reported sensors developed by methods using enzymatic pathways, (38,40,42) which is a favorable result compared with that of the other developed sensor using β-cyclodextrins in their measurement. (28,39) Additionally, the differences in synthesis pathway and electrochemical measurement are the probable reasons that make the sensitivity of MB/CIT-BCD@Fe 3 O 4 become three times higher than that of MB/BCD-CIT@Fe 3 O 4 even though at the same material composition.…”
Section: Corned Beef Sample Measurementmentioning
confidence: 79%
“…In this research, the prepared MB-CIT-BCD@Fe 3 O 4 composite as a non-enzymatic cholesterol sensor exhibited good performance in terms of selectivity and LOD, and the result was consistent with the data of the computation previously performed. Furthermore, the performance of the developed sensor was excellent compared with that of the other reported sensors developed by methods using enzymatic pathways, (38,40,42) which is a favorable result compared with that of the other developed sensor using β-cyclodextrins in their measurement. (28,39) Additionally, the differences in synthesis pathway and electrochemical measurement are the probable reasons that make the sensitivity of MB/CIT-BCD@Fe 3 O 4 become three times higher than that of MB/BCD-CIT@Fe 3 O 4 even though at the same material composition.…”
Section: Corned Beef Sample Measurementmentioning
confidence: 79%
“…Since the overall performance of a non-enzymatic biosensor strongly depends on the inherent properties of the electrode materials, in recent years, various metal/metal oxide nanostructures, such as ZnO, TiO 2 , WO 3 , SnO 2 , and Co 3 O 4 , among others, have emerged as promising candidates for the development of efficient and reliable cholesterol biosensors [ 26 , 27 , 28 , 29 , 30 ]. These nanostructure-based electrodes offer various technical advantages, such as a large surface-to-volume ratio, increased active sites, rapid and fast charge transfer rate, and improved electrochemical properties at the nanoscale.…”
Section: Nanomaterials For Non-enzymatic Cholesterol Biosensormentioning
confidence: 99%
“…Electrochemical sensors are one of the leading techniques for detecting many analytes in biological fluids with high accuracy. For the CHOL assay, highly selective enzymatic electrochemical sensors based on the high substrate-specific cholesterol oxidase (ChOx) and peroxidase (HRP) [ 15 ] or in combination with various nanomaterials [ 14 , 16 ] have been created.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, amperometric biosensors for CHOL analysis based on direct electron transfer (DET) between ChOx and the electrode working at low potentials have been reported [ 14 , 19 , 20 ]. It is known that nanoparticles can provide new possibilities for the construction of biosensors with excellent analytical properties due to their unique properties such as excellent conductivity, high porosity and a large surface-to-volume ratio [ 14 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 ]. It has been constructed ChOx-based biosensors where the Chox was immobilized on the surface of nanomaterials, namely, carbon nanotubes (CNTs) [ 24 ], graphene [ 25 ], metallic nanoparticles (NPs) [ 26 , 27 , 28 , 29 , 30 ], transition metals nanomaterials [ 30 , 31 ], rare earth metal oxides nanomaterials [ 26 , 30 ], conductive polymers [ 23 , 32 , 33 ], quantum dots [ 34 ], hybrid combinations of them [ 29 , 35 ] and even with redox mediators (K 4 [Fe(CN) 6 ], thionine, etc.)…”
Section: Introductionmentioning
confidence: 99%
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