2020
DOI: 10.1016/j.sbsr.2020.100368
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Nanocellulose- based biosensor for colorimetric detection of glucose

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Cited by 30 publications
(31 citation statements)
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“…For instance, the use of the oxidant agent 2,2,6,6tetramethylpiperine-1-oxyl (TEMPO) as a mediator in the oxidation process is a widely used and promising procedure. 58,192,195 It enables oxidation of primary hydroxyl groups from cellulose in aldehydes, which are further converted (using other reagents) into charged carboxyl groups. 235,236 The process is advantageous for being one-step and specific for primary alcohol groups of polysaccharides, keeping secondary ones unaffected.…”
Section: Nanomaterials In Sensorsmentioning
confidence: 99%
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“…For instance, the use of the oxidant agent 2,2,6,6tetramethylpiperine-1-oxyl (TEMPO) as a mediator in the oxidation process is a widely used and promising procedure. 58,192,195 It enables oxidation of primary hydroxyl groups from cellulose in aldehydes, which are further converted (using other reagents) into charged carboxyl groups. 235,236 The process is advantageous for being one-step and specific for primary alcohol groups of polysaccharides, keeping secondary ones unaffected.…”
Section: Nanomaterials In Sensorsmentioning
confidence: 99%
“…In another strategy, Neubauerova et al 58 developed a glucose colorimetric biosensor using CNM deposited onto a cellulose paper substrate. Specifically, the authors used MCC as a cellulose source, which was oxidized using TEMPOmediated oxidation, leading to the formation of carboxylated groups at the cellulose surface.…”
Section: Nanomaterials In Sensorsmentioning
confidence: 99%
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“…There are many approaches that have been developed in time to achieve a successful biosensor on cellulose-based substrates, 18 24 including cellulose of bacterial origin, 25 much before COVID-19, and they consist of immobilizing specific reagents on these substrates. Generally, this includes reagents that react with a given compound or group of compounds, 26 metal nanoparticles (NPs) with catalytic or plasmonic features 27 , 28 or selective biorecognition elements that capture a wide range of target analytes, 29 31 including disease diagnosis. 32 35 These events may be translated by monitoring alterations in optical features, 36 which may involve changes in maximum wavelength reflection/absorption 37 or the enhanced Raman-scattering properties.…”
Section: Introductionmentioning
confidence: 99%