Disposable and portable gold nanoparticles modified - laser-scribed graphene sensing strips for electrochemical, non-enzymatic detection of glucose

Zhu, Bicheng; Luo, Yu; Beikzadeh, Sara; Zhang, Shuyuan; Zhang, Peikai; Wang, Li; Travaš-Sejdić, Jadranka

doi:10.1016/j.electacta.2021.138132

Cited by 53 publications

(37 citation statements)

References 52 publications

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“…[23]. [42] guarantee the formation of graphene. However, it can indicate the graphitization of the PI material.…”

Section: The Sheet Resistance Of Ligmentioning

confidence: 99%

“…Consequently, an increase in the surface area increases the immobilization capacity of LIG for nanomaterials and, thus, improves the sensor's analytical characteristics. For example, Zhu [42] et al has investigated LIG electrodes (with A GEO of 0.0314 cm 2 ) fabricated at three different laser settings in term of laser power (W), laser speed cm/s; pulse per inch (PPI). It was shown that:…”

Section: Electrochemical Behavior Of Lig 41 the Effective Electroacti...mentioning

confidence: 99%

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Laser‐induced Graphene in Facts, Numbers, and Notes in View of Electroanalytical Applications: A Review

Muzyka

2021

Electroanalysis

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In this review, laser-induced graphene (LIG) -based electrodes are discussed by covering such essential areas, as a characterization of LIG material properties necessary for electroanalysis, including data on LIG sheet resistance, wettability, spatial resolution, electrochemical characteristics, as well as correlations of "process" -"properties" -"electroanalytical characteristics"of LIGelectrodes. Moreover, typical and innovative LIG-based electrodes designs for electroanalytical applications, including combined multi-analyte multimodal wearable sensors, interdigitated electrodes, are shown. The essential data related to LIG in electroanalysis are summarized in tables. The authors also discussed recent LIG-based electroanalytical applications. Close attention has been paid to LIG glucose sensors and biosensors.

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“…[23]. [42] guarantee the formation of graphene. However, it can indicate the graphitization of the PI material.…”

Section: The Sheet Resistance Of Ligmentioning

confidence: 99%

Section: Electrochemical Behavior Of Lig 41 the Effective Electroacti...mentioning

confidence: 99%

Laser‐induced Graphene in Facts, Numbers, and Notes in View of Electroanalytical Applications: A Review

Muzyka

2021

Electroanalysis

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“…One of the main challenges that should be overcome is the anisotropic conductivity of the LIG 3D structure, which dependent on the preparation method that is followed, could affect the preparation time and the uniformity of the metallic nanoparticles or layer onto graphene surface. Namely, it has been found that electroplating deposition of metallic nanoparticles is acceptable only for large LIG electrodes [ 80 ], while otherwise it may the deposition time be increased dramatically leading to a non-uniform deposition. So, currently most of the efforts are focused on the exploration of uniform metallic nanoparticles deposition or inclusion of them into the LIG structure, aiming also at its conductivity increment.…”

Section: Graphene-based Nanomaterials For Glucose Electrochemical Sensorsmentioning

confidence: 99%

Cost Effective Synthesis of Graphene Nanomaterials for Non-Enzymatic Electrochemical Sensors for Glucose: A Comprehensive Review

Balkourani

Damartzis

Brouzgou

et al. 2022

Sensors

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The high conductivity of graphene material (or its derivatives) and its very large surface area enhance the direct electron transfer, improving non-enzymatic electrochemical sensors sensitivity and its other characteristics. The offered large pores facilitate analyte transport enabling glucose detection even at very low concentration values. In the current review paper we classified the enzymeless graphene-based glucose electrocatalysts’ synthesis methods that have been followed into the last few years into four main categories: (i) direct growth of graphene (or oxides) on metallic substrates, (ii) in-situ growth of metallic nanoparticles into graphene (or oxides) matrix, (iii) laser-induced graphene electrodes and (iv) polymer functionalized graphene (or oxides) electrodes. The increment of the specific surface area and the high degree reduction of the electrode internal resistance were recognized as their common targets. Analyzing glucose electrooxidation mechanism over Cu- Co- and Ni-(oxide)/graphene (or derivative) electrocatalysts, we deduced that glucose electrochemical sensing properties, such as sensitivity, detection limit and linear detection limit, totally depend on the route of the mass and charge transport between metal(II)/metal(III); and so both (specific area and internal resistance) should have the optimum values.

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“…Additional to various chemical synthesis methods, it was discovered that direct lasing of polymers forms high quality graphene by photothermal reactions( Beduk et al, 2020 ). The graphene produced by this straightforward and method is called laser scribed graphene (LSG)( Lahcen et al, 2020 ), used in many applications such as clinical diagnostics including SARS-CoV-2 S1 protein detection( Alhajji et al, 2020 ; Beduk et al, 2021a ; Fenzl et al, 2017 ; Ghanam et al, 2020 ; Rauf et al, 2021b ; Zhu et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

'All In One' SARS-CoV-2 variant recognition platform: Machine learning-enabled point of care diagnostics

Beduk

Filho

Bedük

et al. 2022

Biosensors and Bioelectronics: X

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Point of care (PoC) devices are highly demanding to control current pandemic, originated from severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2). Though nucleic acid-based methods such as RT-PCR are widely available, they require sample preparation and long processing time. PoC diagnostic devices provide relatively faster and stable results. However they require further investigation to provide high accuracy and be adaptable for the new variants. In this study, laser-scribed graphene (LSG) sensors are coupled with gold nanoparticles (AuNPs) as stable promising biosensing platforms. Angiotensin Converting Enzyme 2 (ACE2), an enzymatic receptor, is chosen to be the biorecognition unit due to its high binding affinity towards spike proteins as a key-lock model. The sensor was integrated to a homemade and portable potentistat device, wirelessly connected to a smartphone having a customized application for easy operation. LODs of 5.14 and 2.09 ng/mL was achieved for S1 and S2 protein in the linear range of 1.0–200 ng/mL, respectively. Clinical study has been conducted with nasopharyngeal swabs from 63 patients having alpha (B.1.1.7), beta (B.1.351), delta (B.1.617.2) variants, patients without mutation and negative patients. A machine learning model was developed with accuracy of 99.37% for the identification of the SARS-Cov-2 variants under 1 min. With the increasing need for rapid and improved disease diagnosis and monitoring, the PoC platform proved its potential for real time monitoring by providing accurate and fast variant identification without any expertise and pre sample preparation, which is exactly what societies need in this time of pandemic.

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Disposable and portable gold nanoparticles modified - laser-scribed graphene sensing strips for electrochemical, non-enzymatic detection of glucose

Cited by 53 publications

References 52 publications

Laser‐induced Graphene in Facts, Numbers, and Notes in View of Electroanalytical Applications: A Review

Laser‐induced Graphene in Facts, Numbers, and Notes in View of Electroanalytical Applications: A Review

Cost Effective Synthesis of Graphene Nanomaterials for Non-Enzymatic Electrochemical Sensors for Glucose: A Comprehensive Review

'All In One' SARS-CoV-2 variant recognition platform: Machine learning-enabled point of care diagnostics

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