Dynamic characterization of multi-scale analytes by real time interferometric imaging

In the past decade, the field of biosensing has experienced an incredible pace of development, due to the compelling need for accurate and reliable tools for characterization of biomolecular kinetics. Specifically, label-free kinetic measurements are the most direct method for studying molecular binding, for example to establish the efficacy of drug-receptor interactions. For this reason, researchers in the pharmaceutical industry rely heavily on label-free detection for drug and antibody screening. Meanwhile, in the biosafety industry and healthcare, there is great demand for screening tools that can target biothreats, in order to accurately recognize the presence of toxins and pathogens with high sensitivity in diverse samples, such as bodily fluids, food and drinking water. This research topic has become particularly relevant during the recent pandemic, where vaccine development was carried out side by side with quantification and characterization of single viral particles. Here, we introduce a versatile biosensing platform capable of characterizing virtually any type of target compound, down to the single molecule level. For this work, we have improved the Interferometric Reflectance Imaging Sensor (IRIS) to perform accurate measurements of the binding kinetics of analytes ranging in molecular weight from less than 1kDa (small molecules) to more than 1MDa (biological nanoparticles). For the first time, we demonstrate multiplexed kinetic binding characterization of small molecules to surface immobilized antibody probes, as well as detection and phenotyping of large and complex analytes, on the same platform. The IRIS platform utilizes the optical interference signal produced by thinly layered substrates in order to precisely measure the thickness of a transparent film atop a silicon chip. In the context of this work, dynamic characterization of a wide range of biomolecular and nanoparticle targets was made possible by a multidimensional optimization, in order to improve both the sensitivity and the dynamic range of the instrument. Analysis of low molecular weight compounds required a significant increase in signal to noise ratio, which was achieved through averaging, as well as complete elimination of background solution effects ('bulk effect’). Additionally, the best surface chemistry for each application was identified by a new technique which consists of immobilizing capture probes on a multiplexed array of active polymers functionalized on the same sensor surface, allowing for simultaneous side-by-side comparison of their performance. Surface chemistry plays a huge role in kinetic measurements, in terms of probe functionality, steric hindrance, charge distribution and diffusion effects. Finally, imaging optics, illumination wavelength, and thickness of the silicon dioxide film were optimized to perform detection and phenotyping of large analytes, such as extracellular vesicles (EVs) and antibody-conjugated gold nanoparticles (mAb-GNPs). Results obtained from numerical simulations allowed for selection of the best experimental parameters for each application. Experimentally, mAb-GNPs were utilized to produce a real-time sandwich lateral flow assay. In this context, we demonstrated how the improved IRIS platform can bridge the gap between single-particle detection ('digital’ configuration) and bulk reflectance measurements ('analog’ configuration), creating a new 'hybrid' system (h-IRIS), which only requires minimal hardware adjustments to easily switch from one modality to the other. This brought a substantial improvement in sensitivity, improving the limit of detection by three orders of magnitude and enabling single-molecule level measurements. Finally, future system optimization ideas are presented to achieve even higher accuracy and further extend the range of target analytes

Simultaneous evaluation of multiple microarray surface chemistries through real-time interferometric imaging.

Surface chemistry is a crucial aspect for microarray modality biosensor development. The immobilization capability of the functionalized surface is indeed a limiting factor for the final yield of the binding reaction. In this work, we were able to simultaneously compare the functionality of protein ligands that were locally immobilized on different polymers, while on the same solid support, therefore demonstrating a new way of multiplexing. Our goal was to investigate, in a single experiment, both the immobilization efficiency of a group of reactive polymers and the resulting affinity of the tethered molecules. This idea was demonstrated by spotting many reactive polymers on a Si/SiO2 chip and depositing the molecular probes on the spots immediately after. As a proof of concept, we focused on which polymers would better immobilize a model protein (α-Lactalbumin) and a peptide (LAC-1). We successfully showed that this protocol is applicable to proteins and peptides with a good efficiency. By means of real-time binding measurements performed with the interferometric reflectance imaging sensor (IRIS), local functionalization proved to be comparable to the classical flat coating solution. The final outcome highlights the multiplexing power of this method: first, it allows to characterize dozens of polymers at once. Secondly, it removes the limitation, related to coated surfaces, that only molecules with the same functional groups can be tethered to the same solid support. By applying this protocol, many types of molecules can be studied simultaneously and immobilization for each probe can be individually optimized.766466 (INDEX) - Horizon 2020 Framework Programmehttps://s3-eu-west-1.amazonaws.com/itempdf74155353254prod/8976347/Simultaneous_Evaluation_of_Multiple_Microarray_Surface_Chemistries_Through_Real-Time_Interferometric_Imaging_v1.pdfFirst author draf

Bulk-effect-free method for binding kinetic measurements enabling small-molecule affinity characterization

Optical technologies for label-free detection are an attractive solution for monitoring molecular binding kinetics; however, these techniques measure the changes in the refractive index, making it difficult to distinguish surface binding from a change in the refractive index of the analyte solution in the proximity of the sensor surface. The solution refractive index changes, due to solvents, temperature changes, or pH variations, can create an unwanted background signal known as the bulk effect. Technologies such as biolayer interferometry and surface plasmon resonance offer no bulk-effect compensation, or they alternatively offer a reference channel to correct in postprocessing. Here, we present a virtually bulk-effect-free method, without a reference channel or any computational correction, for measuring kinetic binding using the interferometric reflectance imaging sensor (IRIS), an optical label-free biomolecular interaction analysis tool. Dynamic spectral illumination engineering, through tailored LED contributions, is combined with the IRIS technology to minimize the bulk effect, with the potential to enable kinetic measurements of a broader range of analytes. We demonstrate that the deviation in the reflectivity signal is reduced to ∼8 × 10-6 for a solution change from phosphate-buffered saline (PBS) (n = 1.335) to 1% dimethyl sulfoxide (DMSO) in PBS (n = 1.336). As a proof of concept, we applied the method to a biotin-streptavidin interaction, where biotin (MW = 244.3 Da) was dissolved at a final concentration of 1 μM in a 1% solution of DMSO in PBS and flowed over immobilized streptavidin. Clear binding results were obtained without a reference channel or any computational correction.1941195 - National Science Foundation; Boston University; 2027109 - National Science FoundationPublished versio

The role of surface chemistry in the efficacy of protein and DNA microarrays for label-free detection: an overview

The importance of microarrays in diagnostics and medicine has drastically increased in the last few years. Nevertheless, the efficiency of a microarray-based assay intrinsically depends on the density and functionality of the biorecognition elements immobilized onto each sensor spot. Recently, researchers have put effort into developing new functionalization strategies and technologies which provide efficient immobilization and stability of any sort of molecule. Here, we present an overview of the most widely used methods of surface functionalization of microarray substrates, as well as the most recent advances in the field, and compare their performance in terms of optimal immobilization of the bioreceptor molecules. We focus on label-free microarrays and, in particular, we aim to describe the impact of surface chemistry on two types of microarray-based sensors: microarrays for single particle imaging and for label-free measurements of binding kinetics. Both protein and DNA microarrays are taken into consideration, and the effect of different polymeric coatings on the molecules' functionalities is critically analyzed.SO766466 (INDEX) - European Union Horizon 2020; NSF iCorps Award n°5242027109 - National Science Foundation; NSF-TT PFI Award n°1941195 - National Science FoundationPublished versio

Multiplexed affinity measurements of extracellular vesicles binding kinetics.

Extracellular vesicles (EVs) have attracted significant attention as impactful diagnostic biomarkers, since their properties are closely related to specific clinical conditions. However, designing experiments that involve EVs phenotyping is usually highly challenging and time-consuming, due to laborious optimization steps that require very long or even overnight incubation durations. In this work, we demonstrate label-free, real-time detection, and phenotyping of extracellular vesicles binding to a multiplexed surface. With the ability for label-free kinetic binding measurements using the Interferometric Reflectance Imaging Sensor (IRIS) in a microfluidic chamber, we successfully optimize the capture reaction by tuning various assay conditions (incubation time, flow conditions, surface probe density, and specificity). A single (less than 1 h) experiment allows for characterization of binding affinities of the EVs to multiplexed probes. We demonstrate kinetic characterization of 18 different probe conditions, namely three different antibodies, each spotted at six different concentrations, simultaneously. The affinity characterization is then analyzed through a model that considers the complexity of multivalent binding of large structures to a carpet of probes and therefore introduces a combination of fast and slow association and dissociation parameters. Additionally, our results confirm higher affinity of EVs to aCD81 with respect to aCD9 and aCD63. Single-vesicle imaging measurements corroborate our findings, as well as confirming the EVs nature of the captured particles through fluorescence staining of the EVs membrane and cargo.Ignition Program - Boston University; INDEX (766466) - Horizon 2020; iCorps (2027109) - National Science Foundation; PFI-TT (1941195) - National Science FoundationPublished versio

Instrument-free protein microarray fabrication for accurate affinity measurements

Protein microarrays have gained popularity as an attractive tool for various fields, including drug and biomarker development, and diagnostics. Thus, multiplexed binding affinity measurements in microarray format has become crucial. The preparation of microarray-based protein assays relies on precise dispensing of probe solutions to achieve efficient immobilization onto an active surface. The prohibitively high cost of equipment and the need for trained personnel to operate high complexity robotic spotters for microarray fabrication are significant detriments for researchers, especially for small laboratories with limited resources. Here, we present a low-cost, instrument-free dispensing technique by which users who are familiar with micropipetting can manually create multiplexed protein assays that show improved capture efficiency and noise level in comparison to that of the robotically spotted assays. In this study, we compare the efficiency of manually and robotically dispensed α-lactalbumin probe spots by analyzing the binding kinetics obtained from the interaction with anti-α-lactalbumin antibodies, using the interferometric reflectance imaging sensor platform. We show that the protein arrays prepared by micropipette manual spotting meet and exceed the performance of those prepared by state-of-the-art robotic spotters. These instrument-free protein assays have a higher binding signal (~4-fold improvement) and a ~3-fold better signal-to-noise ratio (SNR) in binding curves, when compared to the data acquired by averaging 75 robotic spots corresponding to the same effective sensor surface area. We demonstrate the potential of determining antigen-antibody binding coefficients in a 24-multiplexed chip format with less than 5% measurement error.Boston University Ignition Program - Boston University; NSF -CORPS Award No. 2027109 and NSF-TT PFI Award No. 1941195 - National Science FoundationPublished versio

Highly multiplexed label-free imaging sensor for accurate quantification of small-molecule binding kinetics

Investigating the binding interaction of small molecules to large ligands is a compelling task for the field of drug development, as well as agro-biotechnology, since a common trait of drugs and toxins is often a low molecular weight (MW). Here, we improve the limit of detection of the Interferometric Reflectance Imaging Sensor (IRIS), a label-free, highly multiplexed biosensor, to perform small-molecule screening. In this work, characterization of small molecules binding to immobilized probes in a microarray format is demonstrated, with a limit of detection of 1 pg/mm2 in mass density. First, as a proof of concept to show the impact of spatial and temporal averaging on the system noise, detection of biotin (MW = 244.3 Da) binding to a streptavidin-functionalized chip is performed and the parameters are tuned to achieve maximum signal-to-noise ratio (SNR ≈ 34). The optimized system is then applied to the screening of a 20-multiplexed antibody chip against fumonisin B1 (MW = 721.8 Da), a mycotoxin found in cereal grains. The simultaneously recorded binding curves yield an SNR ≈ 8. Five out of twenty antibodies are also screened against the toxin in a lateral flow assay, obtaining consistent results. With the demonstrated noise characteristics, further sensitivity improvements are expected with the advancement of camera sensor technology.Published versio

A LYSO Calorimeter for the SuperB Factory

The SuperB project is an asymmetric e+e? accelerator of 1036cm?2s?1 luminosity, capable of collecting a data sample of 50?75 ab?1 in five years of running. The SuperB electromagnetic calorimeter (EMC), that will be described in this paper, provides energy and direction measurement of photons and electrons, and is used for identification of electrons versus other charged particles. In particular we will present its design, geometry study and related simulations, as well as R&D on LYSO crystals, a project for the mechanical structure and development on readout and electronics. A matrix of 6 crystals has been tested this year June 2010 at the Beam Test Facility of Frascati (BTF) at energies between 200 MeV and 500 MeV, and a beam test with the complete prototype of 25 crystals is foreseen at CERN in October 2010 to cover the energy range between 500 MeV and 7 GeV

Highly Multiplexed Label-Free Imaging Sensor for Accurate Quantification of Small-Molecule Binding Kinetics

Investigating the binding kinetics of small molecule analytes to larger ligands, such as proteins and antibodies, is a compelling task for the field of drug and biomarker development, as well as the food industry and agro-biotechnology. Here, we improve the limit of detection of the Interferometric Reflectance Imaging Sensor (IRIS), a label-free, highly multiplexed biosensor, to perform real-time affinity measurement of small molecules binding to immobilized antibodies in a microarray format. As the analytes bind to the surface probes, the biomass accumulation on the surface is quantified by measuring the optical reflectance from the layered Si/SiO2 chip through the solution, in a common-path interferometer configuration. As a proof of concept, label-free detection of biotin molecules binding to immobilized streptavidin probes is performed, achieving 1 pg/mm2 sensitivity through signal averaging in a shot noise limited operation. Furthermore, we apply the optimized sensor to the screening of a 20-multiplexed antibody chip (MW~150 kDa ligands) against Fumonisin B1 (MW = 721.8 Da), one of the most prevalent mycotoxins found in many cereal grains such as corn and wheat. The simultaneously recorded binding curves of the toxin to the multiplexed sensor yield a signal-to-noise ratio of ≈8 when noise reduction methods of spatial and temporal averaging are utilized

Multiplexed Affinity Measurements of Extracellular Vesicles Binding Kinetics

Extracellular vesicles (EVs) have attracted significant attention as impactful diagnostic biomarkers, since their properties are closely related to specific clinical conditions. However, designing experiments that involve EVs phenotyping is usually highly challenging and time-consuming, due to laborious optimization steps that require very long or even overnight incubation durations. In this work, we demonstrate label-free, real-time detection, and phenotyping of extracellular vesicles binding to a multiplexed surface. With the ability for label-free kinetic binding measurements using the Interferometric Reflectance Imaging Sensor (IRIS) in a microfluidic chamber, we successfully optimize the capture reaction by tuning various assay conditions (incubation time, flow conditions, surface probe density, and specificity). A single (less than 1 h) experiment allows for characterization of binding affinities of the EVs to multiplexed probes. We demonstrate kinetic characterization of 18 different probe conditions, namely three different antibodies, each spotted at six different concentrations, simultaneously. The affinity characterization is then analyzed through a model that considers the complexity of multivalent binding of large structures to a carpet of probes and therefore introduces a combination of fast and slow association and dissociation parameters. Additionally, our results confirm higher affinity of EVs to aCD81 with respect to aCD9 and aCD63. Single-vesicle imaging measurements corroborate our findings, as well as confirming the EVs nature of the captured particles through fluorescence staining of the EVs membrane and cargo