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Development of a three-dimensional graphene-based photoelectrochemical biosensor and its use for monitoring lipase activity
In recent years, photoelectrochemical (PEC) biosensors have shown great application prospects in biological analysis and food detection. In this work, we developed and tested a new PEC biosensor. Three-dimensional graphene oxide (3DGO) was generated and deposited on an indium tin oxides (ITO) electr...
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Published in: | Food science & technology 2022-12, Vol.170, p.114076, Article 114076 |
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Main Authors: | , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | In recent years, photoelectrochemical (PEC) biosensors have shown great application prospects in biological analysis and food detection. In this work, we developed and tested a new PEC biosensor. Three-dimensional graphene oxide (3DGO) was generated and deposited on an indium tin oxides (ITO) electrode. The photoelectrically active poly[Nile blue] (PNb) was formed on this electrode by electropolymerization, and glycerol dehydrogenase (GDH) was immobilised to generate the GDH-PNb-3DGO-ITO biosensor. This newly developed PEC biosensor exhibited excellent photoelectric response to lipase activity under light conditions, with a detection range of 0.1–6 U/mL and a lower detection limit of 0.069 U/mL. When the GDH-PNb-3DGO-ITO sensor was used for PEC detection of lipase activity by the standard addition recovery method, the recovery rate of the standard addition was 98.68–105.41%, and the relative standard deviation (RSD) was 2.1–3.5%, with good storage stability and repeatability. Therefore, this work provides new ideas for the design and preparation of PEC biosensors and introduces a new detection method for monitoring lipase activity.
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•Development of a PEC biosensor to detect lipase activity.•The fabricated biosensor has excellent optoelectronic properties.•The sensor has a low detection limit (0.069 U/mL), providing a platform for lipase activity detection. |
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ISSN: | 0023-6438 1096-1127 |
DOI: | 10.1016/j.lwt.2022.114076 |