Biomolecular Gradients via Semiconductor Gradients: Characterization of Amino Acid Adsorption to InxGa1–xN Surfaces

Bain, Lauren; Jewett, Scott A.; Mukund, Aadhithya Hosalli; Bedair, S. M.; Paskova, Tania; Ivanisevic, Albena

doi:10.1021/am4015555

Cited by 12 publications

(11 citation statements)

References 49 publications

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“…1) To maintain an acceptable length, we are not going to discuss about AA adsorption on semiconducting surfaces, for which quite a lot of literature is already present [8][9][10][11][12][13]. Indeed the study of the interface between biomolecules and semiconducting surfaces is mainly motivated by the possible applications in molecular electronics and bio-compatible electronic devices, which would make the content of the present review diverge from its central focus.…”

Section: Introductionmentioning

confidence: 99%

Adsorption and self-assembly of bio-organic molecules at model surfaces: A route towards increased complexity

Costa

Pradier

Tielens

et al. 2015

Surface Science Reports

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Understanding the bio-physical-chemical interactions at nanostructured biointerfaces and the assembling mechanisms of so-called hybrid nano-composites is nowadays a keyissue for nanoscience in view of the many possible applications foreseen. The contribution of surface science in this field is noteworthy since, using a bottom-up approach, it allows the investigation of the fundamental processes at the basis of complex interfacial phenomena and thus it helps to unravelthe elementary mechanisms governing them. Nowadays it is well demonstrated that a wide variety of different molecular assemblies can form upon adsorption of small biomolecules at surfaces. The geometry of such self-organized structures can often be tuned by a careful control of the experimental conditions during the deposition process. Indeed an impressive number of studies exist (both experimental and -to a lesser extendtheoretical), which demonstrate the ability of molecular self-assembly to create different structural motifs in a more or less predictable manner, by tuning the molecular building blocks as well as the metallic substrate. In this frame, amino acidsand small peptides at surfaces are key, basic, systems to be studied. The amino acidsstructure is simple enough to serve as a model for the chemisorption of biofunctional molecules, but their adsorption at surfaces has applications in surface functionalization, in enantiospecific catalysis, biosensing, nanoparticles shape control or in emerging fields such as "green" corrosion inhibition. In this paper we review the most recent advancements in this field. We will start from amino acids adsorption at metal surfaces and we will evolve then in the direction of more complex systems, in thelight of the latest improvements of surface science techniques and of computational methods. On one side, we will focus on amino acids adsorption at oxide surfaces, on the other on peptide adsorption both at metal and oxide substrates. Particular attention will be drawn to the added value provided by the combination of several experimental surface science techniques and to the precious contribution of advanced complementary computational methods to resolve the details of systems of increased complexity. Finally, some hints into experiments performed in the presence of water and then characterized in UHV and in the related theoretical work will be presented. This is a further step towards abetter approximation of real biological systems. However, since the methods employed are often not typical of surface science, this topic is not developed in details.2

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Section: Introductionmentioning

confidence: 99%

Adsorption and self-assembly of bio-organic molecules at model surfaces: A route towards increased complexity

Costa

Pradier

Tielens

et al. 2015

Surface Science Reports

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“…Since the development of first FET in 1970, there has been the major drive to utilize FET-based biosensor devices for different analytes detection (Bergveld, 1970;Balasubramanian, 2010;Cella et al, 2010;Artiles et al, 2011). In these biosensors, current flows along a semiconductor path (the channel) that is connected to two electrodes, S-D.…”

Section: Fet-based Biosensormentioning

confidence: 99%

“…Gallium nitride (GaN), a wide band-gap semiconductor has biological specificity for the variety of proteins and biomolecules, which are used to fabricate FET-based biosensors (Bain et al, 2013;Sahoo et al, 2013;Seo et al, 2015). Many groups demonstrated the use of AlGaN/ GaN heterojunction FETs to detect biological target molecules such as DNAs and proteins with low concentrations (Jin et al, 2013;Lee et al, 2015a;Wen et al, 2011;Li et al, 2014).…”

Section: Gallium Nitride Nws-based Fet Biosensorsmentioning

confidence: 99%

Recent advances in nanowires-based field-effect transistors for biological sensor applications

Ahmad

Mahmoudi

Ahn

et al. 2018

Biosensors and Bioelectronics

131

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Nanowires (NWs)-based field-effect transistors (FETs) have attracted considerable interest to develop innovative biosensors using NWs of different materials (i.e. semiconductors, polymers, etc.). NWs-based FETs provide significant advantages over the other bulk or non-NWs nanomaterials-based FETs. As the building blocks for FET-based biosensors, one-dimensional NWs offer excellent surface-to-volume ratio and are more suitable and sensitive for sensing applications. During the past decade, FET-based biosensors are smartly designed and used due to their great specificity, sensitivity, and high selectivity. Additionally, they have the advantage of low weight, low cost of mass production, small size and compatible with commercial planar processes for large-scale circuitry. In this respect, we summarize the recent advances of NWs-based FET biosensors for different biomolecule detection i.e. glucose, cholesterol, uric acid, urea, hormone, proteins, nucleotide, biomarkers, etc. A comparative sensing performance, present challenges, and future prospects of NWs-based FET biosensors are discussed in detail.

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“…Device modification with appropriate biomolecules, in the right orientation and coverage, has been a central challenge in adapting semiconductor devices into sensing applications that require 8.14 direct contact with water solutions in addition to sensitivity, selectivity, and reproducibility (75). Published covalent surface chemistry reactions can be difficult to adapt to the modification of devices due to types of solvents used that result in peeling off of contacts and compromise of device integrity.…”

Section: Recent Developmentsmentioning

confidence: 99%

Electronic Biosensors Based on III-Nitride Semiconductors

Kirste

Rohrbaugh²,

Bryan³

et al. 2015

Annual Rev. Anal. Chem.

Self Cite

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We review recent advances of AlGaN/GaN high-electron-mobility transistor (HEMT)-based electronic biosensors. We discuss properties and fabrication of III-nitride-based biosensors. Because of their superior biocompatibility and aqueous stability, GaN-based devices are ready to be implemented as next-generation biosensors. We review surface properties, cleaning, and passivation as well as different pathways toward functionalization, and critically analyze III-nitride-based biosensors demonstrated in the literature, including those detecting DNA, bacteria, cancer antibodies, and toxins. We also discuss the high potential of these biosensors for monitoring living cardiac, fibroblast, and nerve cells. Finally, we report on current developments of covalent chemical functionalization of III-nitride devices. Our review concludes with a short outlook on future challenges and projected implementation directions of GaN-based HEMT biosensors.

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Biomolecular Gradients via Semiconductor Gradients: Characterization of Amino Acid Adsorption to In_xGa_1–xN Surfaces

Cited by 12 publications

References 49 publications

Adsorption and self-assembly of bio-organic molecules at model surfaces: A route towards increased complexity

Adsorption and self-assembly of bio-organic molecules at model surfaces: A route towards increased complexity

Recent advances in nanowires-based field-effect transistors for biological sensor applications

Electronic Biosensors Based on III-Nitride Semiconductors

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