Programmable graphene-based microfluidic sensor for DNA detection

Purwidyantri, Agnes; Ipatov, Andrey; Domingues, Telma; Borme, Jérôme; Martins, Marco; Alpuim, P.; Prado, Marta

doi:10.1016/j.snb.2022.132044

Cited by 23 publications

(13 citation statements)

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“…A printable graphene BioFET for DNA quantification utilizing the core board as the substrate and the printed circuit board (PCB) electrodes as the transistor drain, source, and gate pads was reported by Papamatthaiou et al 2021. These and many other examples show the versatility of graphene FET sensors. , …”

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confidence: 77%

Integrated Approach from Sample-to-Answer for Grapevine Varietal Identification on a Portable Graphene Sensor Chip

et al. 2023

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Identifying grape varieties in wine, related products, and raw materials is of great interest for enology and to ensure its authenticity. However, these matrices' complexity and low DNA content make this analysis particularly challenging. Integrating DNA analysis with 2D materials, such as graphene, offers an advantageous pathway toward ultrasensitive DNA detection. Here, we show that monolayer graphene provides an optimal test bed for nucleic acid detection with single-base resolution. Graphene's ultrathinness creates a large surface area with quantum confinement in the perpendicular direction that, upon functionalization, provides multiple sites for DNA immobilization and efficient detection. Its highly conjugated electronic structure, high carrier mobility, zeroenergy band gap with the associated gating effect, and chemical inertness explain graphene's superior performance. For the first time, we present a DNA-based analytic tool for grapevine varietal discrimination using an integrated portable biosensor based on a monolayer graphene field-effect transistor array. The system comprises a wafer-scale fabricated graphene chip operated under liquid gating and connected to a miniaturized electronic readout. The platform can distinguish closely related grapevine varieties, thanks to specific DNA probes immobilized on the sensor, demonstrating high specificity even for discriminating single-nucleotide polymorphisms, which is hard to achieve with a classical endpoint polymerase chain reaction or quantitative polymerase chain reaction. The sensor was operated in ultralow DNA concentrations, with a dynamic range of 1 aM to 0.1 nM and an attomolar detection limit of ∼0.19 aM. The reported biosensor provides a promising way toward developing decentralized analytical tools for tracking wine authenticity at different points of the food value chain, enabling data transmission and contributing to the digitalization of the agro−food industry.

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confidence: 77%

Integrated Approach from Sample-to-Answer for Grapevine Varietal Identification on a Portable Graphene Sensor Chip

et al. 2023

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“…On the other hand, fluidic control offers an additional degree of freedom that can be tuned to optimize the sensitivity of the transducer. For example, exploiting the fluid dynamics of a flow cell design including an impinging jet geometry has offered high sensitivity for the detection of DNA hybridization (~44 mV/decade of target DNA concentration) and a detection limit of ~0.642 aM [88] . The conjugation of the graphene field-effect transistor with anti-CD63 antibodies for the label-free detection of exosomes has brought to an additional minimum alongside the original Dirac point in the drain-source current-back-gate voltage curve.…”

Section: Electrical Doping For Enhancing Plasmonic Biosensingmentioning

confidence: 99%

Trends of Biosensing: Plasmonics through Miniaturization and Quantum Sensing

Simone

2023

Critical Reviews in Analytical Chemistry

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Despite being extremely old concepts, plasmonics and surface plasmon resonance-based biosensors have been increasingly popular in the recent two decades due to the growing interest in nanooptics and are now of significant significance in regards to applications associated with human health. Plasmonics used in health surveillance systems have a high sensitivity and meets the standards for sensitivity, selectivity, and detection limit. In addition, integration into microsystems and point-of-care devices has enabled significant levels of sensitivity and limit of detection to be achieved. All of this has encouraged the expansion of the fields of study and market niches devoted to the creation of quick and incredibly sensitive label-free detection. The trend is reflected in the development of wearable plasmonic sensors as well as point-of-care applications for widespread applications, demonstrating the potential impact of the new generation of plasmonic biosensors on human well-being through the concepts of personalized medicine and global health.In this context, the aim here is to discuss the potential, limitations, and opportunities for improvement that have arisen as a result of the integration of plasmonics into microsystems and lab-on-chip over the past five years. Recent applications of plasmonic biosensors in microsystems and their sensor performance are analyzed. The final discussion focuses on the integration of microfluidics and lab-on-a-chip with quantum plasmonics technology as a promising solution for chemical and biological sensing applications. Aiming to overcome the limits given by quantum fluctuations and noise, research in the field of quantum plasmonic sensing for biological applications has flourished over the past decade. The significant advances in nanophotonics, plasmonics and microsystems used to create increasingly effective biosensors would continue to benefit this field if harnessed properly.

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“…In multiphase flow, the validation and verification of the flow field, and the presence of multiple interfaces in the microchannel are topics of high importance in computational fluid dynamics. The applications of multiphase microfluidics are found in domains such as chemical synthesis [1], bioanalysis [2], 3D printing [3], and graphene field-effect transistors (GFET) integrated into microchannels [4] to create sensors with high sensitivity [5]. The advantage of linking immiscible fluids with microfluidics leads to important advancements in the domain of a 3D cell culture [6], where spheroids can be quantified and analyzed by a data-driven approach [7].…”

Section: Introductionmentioning

confidence: 99%

Investigation of Multiphase Flow in a Trifurcation Microchannel—A Benchmark Problem

2022

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The evolution of an interface between two immiscible liquids in a three-branch symmetric microchannel is numerically and experimentally investigated. The main goals of the paper are to correlate the numeric data with the experimental results for the tested flow case and to assess the quality of the VOF procedure to trace the interface using the Fluent commercial code. The focus of the experiments was to characterize the dynamics of the oil–water interface formed in the vicinity of the bifurcation, at the entrance in the main microchannel of 400 microns width and 50 microns height. The oil core surrounded by water is visualized and micro-PIV measurements are performed in water. Experimental results qualitatively and quantitatively confirm the 3D numerical simulations. We propose the present investigated flow as a benchmark case for the study of the interface in a branching microchannel geometry.

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Programmable graphene-based microfluidic sensor for DNA detection

Cited by 23 publications

References 50 publications

Integrated Approach from Sample-to-Answer for Grapevine Varietal Identification on a Portable Graphene Sensor Chip

Integrated Approach from Sample-to-Answer for Grapevine Varietal Identification on a Portable Graphene Sensor Chip

Trends of Biosensing: Plasmonics through Miniaturization and Quantum Sensing

Investigation of Multiphase Flow in a Trifurcation Microchannel—A Benchmark Problem

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