2017
DOI: 10.1016/j.snb.2016.08.062
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MnO 2 /reduced graphene oxide nanoribbons: Facile hydrothermal preparation and their application in amperometric detection of hydrogen peroxide

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Cited by 119 publications
(29 citation statements)
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“…[23][24][25] This type of nanomaterial has the advantages of low cost, environmental friendly and easy to prepare. However, its stability and sensitivity are unsatisfactory.…”
Section: Non-enzymatic Biosensormentioning
confidence: 99%
“…[23][24][25] This type of nanomaterial has the advantages of low cost, environmental friendly and easy to prepare. However, its stability and sensitivity are unsatisfactory.…”
Section: Non-enzymatic Biosensormentioning
confidence: 99%
“…MnO 2 , an important transition metal oxide, has been extensively used in rechargeable batteries [19], supercapacitors [20,21], electrocatalysis [22,23], and sensors [24][25][26][27][28], owing to its prominent advantages such as cheapness, low toxicity, and excellent electrocatalytic performances. Moreover, the electrochemical performance can be tailored by tuning the morphologies of nano-MnO 2 [25].…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, the electrochemical performance can be tailored by tuning the morphologies of nano-MnO 2 [25]. However, the poor electrical conductivity has hindered its broad applications in electrochemical sensors, due to the semiconductor property of itself [26]. Hence, much effort has been devoted to composite or hybrid nano-MnO 2 with conductive components, aiming to enhance electrical conductivity, decrease charge transfer resistance, and eventually improve sensing performances [20,21,29].…”
Section: Introductionmentioning
confidence: 99%
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“…In recent years, the progress of nanotechnology has promoted advances in the field of manufacturing of the H 2 O 2 electrochemical sensors. For example, carbon nanotubes and graphene can be used either as substrates with high specific areas for catalytic materials or as electrocatalysts by themselves (Šljukič et al, 2006;Pogacean et al, 2015;Wu et al, 2017;Yang et al, 2017).…”
Section: Introductionmentioning
confidence: 99%