Abstract:Signature-based protein sensing has recently emerged as a promising prospective alternative to conventional lock-and-key methods. However, most of the current examples require the measurement of optical signals from spatially-separated materials for the generation of signatures. Herein, we present a new approach for the construction of multi-fluorescent sensing systems with high accessibility and tunability, which allows generating protein fluorescent signatures from a single microplate well. This approach is … Show more
“…Depending on overall charge, functionality and extension of aromatic moieties in biomolecule as well as dyes can control the tunable interaction. By utilizing this non‐covalent interactions, several research group have made sensing platform by attaching fluorescent labeled single‐stranded DNA for detection of proteins, bacteria and diseased cell lines . But the biggest challenge to build a multichannel optical sensor array to select and optimize a set of fluorophores which will have minimum FRET and efficient binding as well as detectable displacement by analytes.…”
Section: Resultsmentioning
confidence: 99%
“…By utilizing this non-covalent interactions, severalr esearchg roup have made sensing platform by attaching fluorescent labeled single-strandedD NA for detection of proteins,b acteria and diseased cell lines. [27,29,30] But the biggest challenge to build am ultichannelo ptical sensora rray to select and optimize as et of fluorophores which will have minimum FRET and efficient bindinga sw ell as detectable displacement by analytes.H ence to build am ultichannel array by using nGO as ar eceptor first we have screened several fluorophores (Table S17) and finally we have selected five fluorophores 7-hydroxy coumarin (7-HC), Fluorescein (Fl), Rhodamine 6G (Rh-6G), Rhodamine Bb ase (Rh-B) and Methylene Blue (MB)] which not only have the diversec harge and functionality but also the excitation and emission wavelengths have nominal overlap to minimize the FRET (Figure 2b,c). The selected fluorophores which are used in this study,h ave good quantum yield (Table S1), water solubility and high photo stability.…”
Optical array‐based sensors are attractive candidates for the detection of various bio‐analytes due to their convenient fabrication and measurements. For array‐based sensors, multichannel arrays are more advantageous and used frequently in many electronic sensors. But most reported optically array based sensors are constructed on a single channel array. This difficulty is mainly instigated from the overlap in optical responses. In this report we have used nano‐graphene oxide (nGO) and suitable fluorophores as sensor elements to construct a multichannel sensor array for the detection of protein analytes. By using the optimized multichannel array we are able to detect different proteins and mixtures of proteins with 100 % classification accuracy at sub‐nanomolar concentration. This modified method expedites the sensing analysis as well as minimizes the use of both analyte and sensor elements in array‐based protein sensing. We have also used this system for the single channel array‐based sensing to compare the sensitivity and the efficacy of these two systems for other applications. This work demonstrated an intrinsic trade‐off associated with these two methods which may be necessary to balance for array‐based analyte detections.
“…Depending on overall charge, functionality and extension of aromatic moieties in biomolecule as well as dyes can control the tunable interaction. By utilizing this non‐covalent interactions, several research group have made sensing platform by attaching fluorescent labeled single‐stranded DNA for detection of proteins, bacteria and diseased cell lines . But the biggest challenge to build a multichannel optical sensor array to select and optimize a set of fluorophores which will have minimum FRET and efficient binding as well as detectable displacement by analytes.…”
Section: Resultsmentioning
confidence: 99%
“…By utilizing this non-covalent interactions, severalr esearchg roup have made sensing platform by attaching fluorescent labeled single-strandedD NA for detection of proteins,b acteria and diseased cell lines. [27,29,30] But the biggest challenge to build am ultichannelo ptical sensora rray to select and optimize as et of fluorophores which will have minimum FRET and efficient bindinga sw ell as detectable displacement by analytes.H ence to build am ultichannel array by using nGO as ar eceptor first we have screened several fluorophores (Table S17) and finally we have selected five fluorophores 7-hydroxy coumarin (7-HC), Fluorescein (Fl), Rhodamine 6G (Rh-6G), Rhodamine Bb ase (Rh-B) and Methylene Blue (MB)] which not only have the diversec harge and functionality but also the excitation and emission wavelengths have nominal overlap to minimize the FRET (Figure 2b,c). The selected fluorophores which are used in this study,h ave good quantum yield (Table S1), water solubility and high photo stability.…”
Optical array‐based sensors are attractive candidates for the detection of various bio‐analytes due to their convenient fabrication and measurements. For array‐based sensors, multichannel arrays are more advantageous and used frequently in many electronic sensors. But most reported optically array based sensors are constructed on a single channel array. This difficulty is mainly instigated from the overlap in optical responses. In this report we have used nano‐graphene oxide (nGO) and suitable fluorophores as sensor elements to construct a multichannel sensor array for the detection of protein analytes. By using the optimized multichannel array we are able to detect different proteins and mixtures of proteins with 100 % classification accuracy at sub‐nanomolar concentration. This modified method expedites the sensing analysis as well as minimizes the use of both analyte and sensor elements in array‐based protein sensing. We have also used this system for the single channel array‐based sensing to compare the sensitivity and the efficacy of these two systems for other applications. This work demonstrated an intrinsic trade‐off associated with these two methods which may be necessary to balance for array‐based analyte detections.
“…Figure A,B shows the results of hierarchical cluster analysis (HCA) for the shorter and longer wavelength resonance peaks of SNPG, respectively. The dendrograms demonstrate that the shorter wavelength peak for SNPG around 440 nm is extremely sensitive to the surrounding conditions and can be used to clearly distinguish between various dielectric media, notably water and 0.1 mmol L −1 BSA, which vary only by 0.001 in their RI.…”
Section: Resultsmentioning
confidence: 99%
“…Elucidating subtle RI-induced changes in these profiles (as shown in Figures S4 and S5 of the Supporting Information) is challenging by gross visual inspection alone but can be realized through application of multivariate analytics algorithms that harness the full spectral information. [58,59] Figure 4A,B shows the results of hierarchical cluster analysis (HCA) [60][61][62] for the shorter and longer wavelength resonance peaks of SNPG, respectively. The dendrograms demonstrate that the shorter wavelength peak for SNPG around 440 nm is extremely sensitive to the surrounding conditions and can be used to clearly distinguish between various dielectric media, notably water and 0.1 mmol L −1 BSA, which vary only by 0.001 in their RI.…”
Section: Csp-based Refractive Index Sensingmentioning
Biosensing based on localized surface plasmon resonance (LSPR) relies on concentrating light to a nanometeric spot and leads to a highly enhanced electromagnetic field near the metal nanostructure. Here, a design of plasmonic nanostructures based on rationally structured metal–dielectric combinations is presented, called composite scattering probes (CSPs), to generate an integrated multimodal biosensing platform featuring LSPR and surface‐enhanced Raman spectroscopy (SERS). Specifically, CSP configurations are proposed, which have several prominent resonance peaks enabling higher tunability and sensitivity for self‐referenced multiplexed analyte sensing. Using electron‐beam evaporation and thermal dewetting, large‐area, uniform, and tunable CSPs are fabricated, which are suitable for label‐free LSPR and SERS measurements. The CSP prototypes are used to demonstrate refractive index sensing and molecular analysis using albumin as a model analyte. By using partial least squares on recorded absorption profiles, differentiation of subtle changes in refractive index (as low as 0.001) in the CSP milieu is demonstrated. Additionally, CSPs facilitate complementary untargeted plasmon‐enhanced Raman measurements from the sample's compositional contributors. With further refinement, it is envisioned that the method may lead to a sensitive, versatile, and tunable platform for quantitative concentration determination and molecular fingerprinting, particularly where limited a priori information of the sample is available.
“…Such probe arrays are constructed to exhibit the chemical diversity necessary to respond distinctively to a variety of analyte proteins, allowing the generation of target-specific response fingerprints. This strategy has been used to identify proteins dissolved in buffer solutions, (9)(10)(11)(12) serum, (13)(14)(15)(16) and urine. (17,18) Most of the previously reported fingerprint-based sensors, however, require multiple synthetic probes as sensor elements for the construction of an array with reliable discrimination ability, (7,8) which involves laborious synthetic efforts.…”
The identification of secreted proteins in cell culture supernatants is a useful method for the noninvasive evaluation of cultured cells. Herein, we show that a fingerprint-based sensor technique can be used to identify typical hepatocyte-derived secretory proteins spiked into a cell culture medium. A poly-L-lysine modified with environment-sensitive dansyl groups (PLL-Dnc), which allows a turn-on fluorescent response with cross-reactivity against different analytes, was employed for the sensing of a series of secretory proteins (albumin, α 1-antitrypsin, fibrinogen, transferrin, and α-fetoprotein). An array of PLL-Dnc in different buffer solutions successfully produced fluorescence fingerprints as a result of distinct interactions with analyte proteins depending on solution conditions (pH and ionic strength), enabling the qualitative identification of five secretory proteins in culture media (40 μg/mL) with 100% accuracy using linear discriminant analysis. The array system was also capable of analyzing culture media that contain different concentrations of albumin and α-fetoprotein under realistic conditions. This work demonstrates the solution-condition-dependent discriminatory response of PLL-Dnc toward proteins spiked into a culture medium, rendering such a PLL-Dnc system a promising platform for the antibody-free and marker-based evaluation of cultured cells.
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