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Label-free and reagentless electrochemical genosensor based on graphene acid for meat adulteration detection [Dataset]

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/331976
Digital.CSIC. Repositorio Institucional del CSIC
  • Flauzino, José M. R.
  • Nguyen, Emily P.
  • Yang, Qiuyue
  • Rosati, Giulio
  • Panáček, David
  • Brito-Madurro, Ana G.
  • Madurro, João M.
  • Bakandritsos, Aristides
  • Otyepka, Michal
  • Merkoçi, Arben
3 pages. -- Figure S1 – Optimization of the drop-casting procedure of the graphene acid solution: electrochemical characterization of the electrode surface. -- Figure S2 – FTIR spectra of the SPCE with and without the application of the linker EDC/NHS. -- Table S1 – Electrochemical data of the biosensor characterization steps (mean ± standard deviation, n=3). -- Table S2 – Surface parameters extracted from AFM microscopies. -- Table S3 – Electrochemical data of faradaic detections of targets (mean ± standard deviation, n = 3). -- Table S4 - Electrochemical data obtained from non-faradaic EIS detections (mean ± standard deviation, n = 3), Peer reviewed
 
DOI: http://hdl.handle.net/10261/331976
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/331976

HANDLE: http://hdl.handle.net/10261/331976
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/331976
 
Ver en: http://hdl.handle.net/10261/331976
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/331976

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/331976
Set de datos (Dataset). 2022

LABEL-FREE AND REAGENTLESS ELECTROCHEMICAL GENOSENSOR BASED ON GRAPHENE ACID FOR MEAT ADULTERATION DETECTION [DATASET]

Digital.CSIC. Repositorio Institucional del CSIC
  • Flauzino, José M. R.
  • Nguyen, Emily P.
  • Yang, Qiuyue
  • Rosati, Giulio
  • Panáček, David
  • Brito-Madurro, Ana G.
  • Madurro, João M.
  • Bakandritsos, Aristides
  • Otyepka, Michal
  • Merkoçi, Arben
3 pages. -- Figure S1 – Optimization of the drop-casting procedure of the graphene acid solution: electrochemical characterization of the electrode surface. -- Figure S2 – FTIR spectra of the SPCE with and without the application of the linker EDC/NHS. -- Table S1 – Electrochemical data of the biosensor characterization steps (mean ± standard deviation, n=3). -- Table S2 – Surface parameters extracted from AFM microscopies. -- Table S3 – Electrochemical data of faradaic detections of targets (mean ± standard deviation, n = 3). -- Table S4 - Electrochemical data obtained from non-faradaic EIS detections (mean ± standard deviation, n = 3), Peer reviewed




Recercat. Dipósit de la Recerca de Catalunya
oai:recercat.cat:2072/463858
Artículo científico (JournalArticle). 2022

LABEL-FREE AND REAGENTLESS ELECTROCHEMICAL GENOSENSOR BASED ON GRAPHENE ACID FOR MEAT ADULTERATION DETECTION

Recercat. Dipósit de la Recerca de Catalunya
  • Flauzino, J. M. R.
  • Nguyen, Emily P.
  • Yang, Qiuyue
  • Rosati, Giulio
  • Panáček, David
  • Brito-Madurro, Ana G.
  • Madurro, João M.
  • Bakandritsos, Aristides
  • Otyepka, Michal
  • Merkoçi, Arben
Altres ajuts: CERCA Programme/Generalitat de Catalunya, With the increased demand for beef in emerging markets, the development of quality-control diagnostics that are fast, cheap and easy to handle is essential. Especially where beef must be free from pork residues, due to religious, cultural or allergic reasons, the availability of such diagnostic tools is crucial. In this work, we report a label-free impedimetric genosensor for the sensitive detection of pork residues in meat, by leveraging the biosensing capabilities of graphene acid - a densely and selectively functionalized graphene derivative. A single stranded DNA probe, specific for the pork mitochondrial genome, was immobilized onto carbon screen-printed electrodes modified with graphene acid. It was demonstrated that graphene acid improved the charge transport properties of the electrode, following a simple and rapid electrode modification and detection protocol. Using non-faradaic electrochemical impedance spectroscopy, which does not require any electrochemical indicators or redox pairs, the detection of pork residues in beef was achieved in less than 45 min (including sample preparation), with a limit of detection of 9% w/w pork content in beef samples. Importantly, the sample did not need to be purified or amplified, and the biosensor retained its performance properties unchanged for at least 4 weeks. This set of features places the present pork DNA sensor among the most attractive for further development and commercialization. Furthermore, it paves the way for the development of sensitive and selective point-of-need sensing devices for label-free, fast, simple and reliable monitoring of meat purity.




Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/271140
Artículo científico (JournalArticle). 2022

LABEL-FREE AND REAGENTLESS ELECTROCHEMICAL GENOSENSOR BASED ON GRAPHENE ACID FOR MEAT ADULTERATION DETECTION

Digital.CSIC. Repositorio Institucional del CSIC
  • Flauzino, José M. R.
  • Nguyen, Emily P.
  • Yang, Qiuyue
  • Rosati, Giulio
  • Panáček, David
  • Brito-Madurro, Ana G.
  • Madurro, João M.
  • Bakandritsos, Aristides
  • Otyepka, Michal
  • Merkoçi, Arben
With the increased demand for beef in emerging markets, the development of quality-control diagnostics that are fast, cheap and easy to handle is essential. Especially where beef must be free from pork residues, due to religious, cultural or allergic reasons, the availability of such diagnostic tools is crucial. In this work, we report a label-free impedimetric genosensor for the sensitive detection of pork residues in meat, by leveraging the biosensing capabilities of graphene acid - a densely and selectively functionalized graphene derivative. A single stranded DNA probe, specific for the pork mitochondrial genome, was immobilized onto carbon screen-printed electrodes modified with graphene acid. It was demonstrated that graphene acid improved the charge transport properties of the electrode, following a simple and rapid electrode modification and detection protocol. Using non-faradaic electrochemical impedance spectroscopy, which does not require any electrochemical indicators or redox pairs, the detection of pork residues in beef was achieved in less than 45 min (including sample preparation), with a limit of detection of 9% w/w pork content in beef samples. Importantly, the sample did not need to be purified or amplified, and the biosensor retained its performance properties unchanged for at least 4 weeks. This set of features places the present pork DNA sensor among the most attractive for further development and commercialization. Furthermore, it paves the way for the development of sensitive and selective point-of-need sensing devices for label-free, fast, simple and reliable monitoring of meat purity., We acknowledge funding from the European Union Horizon2020 Programme under Grant No. 881603 (Graphene Flagship Core 3). This article reflects only the author's view, and the European Commission is not responsible for any use that may be made of the information it contains. ICN2 is funded by the CERCA programme, Generalitat de Catalunya. The ICN2 is supported by the Severo Ochoa Centres of Excellence programme, funded by the Spanish Research Agency (AEI, grant no. SEV-2017-0706). J. M. R. Flauzino is grateful for the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior scholarship (CAPES-PRINT, Brazil, Grant number: 88887.371591/2019–00). D. Panáček acknowledges the Internal Student Grant Agency of the Palacký University in Olomouc, (IGA_PrF_2021_031). A. G. Brito-Madurro acknowledges the funding from Conselho Nacional de Desenvolvimento Científico e Tecnológico - CNPq (310782/2018–0). J. M. Madurro acknowledges the funding from Fundação de Amparo à Pesquisa do Estado de Minas Gerais – FAPEMIG (CEX-APQ-02902-17) and Conselho Nacional de Desenvolvimento Científico e Tecnológico – CNPq (311737/2018–8). A. Bakandritsos acknowledges the funding from the Czech Science Foundation, (project GA CR – EXPRO, 19–27454X). M. Otyepka acknowledges the ERC grand 2D-CHEM (No 683024 from H202). The work was supported also by the ERDF/ESF project “Nano4Future” (No.CZ.02.1.01/0.0/0.0/16_019/0000754).




Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/331976
Set de datos (Dataset). 2022

LABEL-FREE AND REAGENTLESS ELECTROCHEMICAL GENOSENSOR BASED ON GRAPHENE ACID FOR MEAT ADULTERATION DETECTION [DATASET]

Digital.CSIC. Repositorio Institucional del CSIC
  • Flauzino, José M. R.
  • Nguyen, Emily P.
  • Yang, Qiuyue
  • Rosati, Giulio
  • Panáček, David
  • Brito-Madurro, Ana G.
  • Madurro, João M.
  • Bakandritsos, Aristides
  • Otyepka, Michal
  • Merkoçi, Arben
3 pages. -- Figure S1 – Optimization of the drop-casting procedure of the graphene acid solution: electrochemical characterization of the electrode surface. -- Figure S2 – FTIR spectra of the SPCE with and without the application of the linker EDC/NHS. -- Table S1 – Electrochemical data of the biosensor characterization steps (mean ± standard deviation, n=3). -- Table S2 – Surface parameters extracted from AFM microscopies. -- Table S3 – Electrochemical data of faradaic detections of targets (mean ± standard deviation, n = 3). -- Table S4 - Electrochemical data obtained from non-faradaic EIS detections (mean ± standard deviation, n = 3), Peer reviewed




Dipòsit Digital de Documents de la UAB
oai:ddd.uab.cat:266840
Artículo científico (JournalArticle). 2022

LABEL-FREE AND REAGENTLESS ELECTROCHEMICAL GENOSENSOR BASED ON GRAPHENE ACID FOR MEAT ADULTERATION DETECTION

Dipòsit Digital de Documents de la UAB
  • Flauzino, J. M. R.
  • Nguyen, Emily P.|||0000-0003-4299-2055
  • Yang, Qiuyue|||0000-0002-7693-6679
  • Rosati, Giulio|||0000-0002-0227-4561
  • Panáček, David
  • Brito-Madurro, Ana G.
  • Madurro, João M.
  • Bakandritsos, Aristides|||0000-0003-4411-9348
  • Otyepka, Michal|||0000-0002-1066-5677
  • Merkoçi, Arben|||0000-0003-2486-8085
With the increased demand for beef in emerging markets, the development of quality-control diagnostics that are fast, cheap and easy to handle is essential. Especially where beef must be free from pork residues, due to religious, cultural or allergic reasons, the availability of such diagnostic tools is crucial. In this work, we report a label-free impedimetric genosensor for the sensitive detection of pork residues in meat, by leveraging the biosensing capabilities of graphene acid - a densely and selectively functionalized graphene derivative. A single stranded DNA probe, specific for the pork mitochondrial genome, was immobilized onto carbon screen-printed electrodes modified with graphene acid. It was demonstrated that graphene acid improved the charge transport properties of the electrode, following a simple and rapid electrode modification and detection protocol. Using non-faradaic electrochemical impedance spectroscopy, which does not require any electrochemical indicators or redox pairs, the detection of pork residues in beef was achieved in less than 45 min (including sample preparation), with a limit of detection of 9% w/w pork content in beef samples. Importantly, the sample did not need to be purified or amplified, and the biosensor retained its performance properties unchanged for at least 4 weeks. This set of features places the present pork DNA sensor among the most attractive for further development and commercialization. Furthermore, it paves the way for the development of sensitive and selective point-of-need sensing devices for label-free, fast, simple and reliable monitoring of meat purity.




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