Abstract: Provided are methods, devices, and kits for the isolation of extracellular vesicles using silicon nanomembranes. A method for EV isolation includes the steps of collecting a biofluid sample, contacting the biofluid sample with a pre-filtration membrane, thereby forming a first filtrate and a first retentate, optionally, washing the first retentate of the pre-filtration membrane, contacting the first filtrate from the pre-filtration membrane with a capture membrane, thereby forming a second filtrate and a second retentate, optionally, washing the second retentate, and eluting the second retentate from the capture membrane or lysing the second retentate to recover the contents.

Abstract: Disclosed is a sensor chip for detecting a target molecule in a sample. The sensor chip includes a substrate having a surface and a layer of hydrogel particles immobilized on the substrate surface at two or more locations on the surface, wherein the hydrogel particles at a first location comprise a plurality of first probe molecules bound to the particles and the hydrogel particles at a second location comprise a plurality of second probe molecules bound to the particles. Systems that include the sensor chip, as well as methods of preparing and using the sensor chip, are also disclosed.

Abstract: Provided are methods, devices, and kits for the isolation of extracellular vesicles using silicon nanomembranes. A method for EV isolation includes the steps of collecting a biofluid sample, contacting the biofluid sample with a pre-filtration membrane, thereby forming a first filtrate and a first retentate, optionally, washing the first retentate of the pre-filtration membrane, contacting the first filtrate from the pre-filtration membrane with a capture membrane, thereby forming a second filtrate and a second retentate, optionally, washing the second retentate, and eluting the second retentate from the capture membrane or lysing the second retentate to recover the contents.

Abstract: Provided are methods, devices, and kits for the isolation of extracellular vesicles using silicon nanomembranes. A method for EV isolation includes the steps of collecting a biofluid sample, contacting the biofluid sample with a pre-filtration membrane, thereby forming a first filtrate and a first retentate, optionally, washing the first retentate of the pre-filtration membrane, contacting the first filtrate from the pre-filtration membrane with a capture membrane, thereb forming a second filtrate and a second retentate, optionally, washing the second retentate, and eluting the second retentate from the capture membrane or lysing the second retentate to recover the contents.

Abstract: Understanding the amount of exposure individuals have had to common chemical pollutants critically requires the ability to detect those compounds in a simple, sensitive, and specific manner. Doing so using label-free biosensor technology has proven challenging, however, given the small molecular weight of many pollutants of interest. To address this issue, a pollutant microarray based on the label-free Arrayed Imaging Reflectometry (AIR) detection platform was developed. The sensor that has undergone a two-step blocking process is able to detect three common environmental contaminants (benzo[a]pyrene (200), bisphenol A (202), and acrolein (204 and 206) in human serum via a competitive binding scheme.

Abstract: Provided are methods, devices, and kits for the isolation and enumeration of one or more components of interest within a liquid sample using microslit filter membranes. This disclosure relates to the enumeration of components within a sample of interest, and more particularly, the capture of such components by efficient isolation using microslit filters with high permeation capacity and precision molecular cut-off characteristics.

Abstract: Provided are methods of preparing, detecting, and/or assaying an analyte of interest from a sample. The methods utilize functionalized silicon membranes, such as, for example, functionalized silicon nanomembranes. Samples that can be used in the methods may be biological samples, food samples, environmental samples, industrial samples, or a combination thereof. Also provided are kits to perform methods of the present disclosure.

Abstract: Provided are methods using and making functionalized silicon membranes, such as, for example, functionalized silicon nanomembranes. The methods may combine one or more (e.g., two) surface modification processes (e.g., using a combination of aldehydes and silanes). Also described are fluidic devices containing functionalized membranes of the present disclosure and uses thereof. The fluidic devices of the present disclosure include one or more functionalized silicon membrane.

Abstract: Provided are methods, devices, and kits for the isolation of extracellular vesicles using silicon nanomembranes. A method for EV isolation includes the steps of collecting a biofluid sample, contacting the biofluid sample with a pre-filtration membrane, thereby forming a first filtrate and a first retentate, optionally, washing the first retentate of the pre-filtration membrane, contacting the first filtrate from the pre-filtration membrane with a capture membrane, thereby forming a second filtrate and a second retentate, optionally, washing the second retentate, and eluting the second retentate from the capture membrane or lysing the second retentate to recover the contents.

Abstract: This present disclosure generally relates to devices, methods, and systems for producing large numbers of SiO2 coated silicon chips with uniform film thickness controlled to angstrom and sub angstrom levels. The disclosure further relates to etching plates configured for receiving a plurality of chips mounted thereon.

Abstract: Understanding the amount of exposure individuals have had to common chemical pollutants critically requires the ability to detect those compounds in a simple, sensitive, and specific manner. Doing so using label-free biosensor technology has proven challenging, however, given the small molecular weight of many pollutants of interest. To address this issue, a pollutant microarray based on the label-free Arrayed Imaging Reflectometry (AIR) detection platform was developed. The sensor that has undergone a two-step blocking process is able to detect three common environmental contaminants (benzo[a]pyrene 200, bisphenol A, and acrolein) in human serum via a competitive binding scheme.

Abstract: This present disclosure generally relates to devices, methods, and systems for producing large numbers of SiO2 coated silicon chips with uniform film thickness controlled to angstrom and sub angstrom levels. The disclosure further relates to etching plates configured for receiving a plurality of chips mounted thereon.

Abstract: Disclosed is a sensor chip for detecting a target molecule in a sample. The sensor chip includes a substrate having a surface and a layer of hydrogel particles immobilized on the substrate surface at two or more locations on the surface, wherein the hydrogel particles at a first location comprise a plurality of first probe molecules bound to the particles and the hydrogel particles at a second location comprise a plurality of second probe molecules bound to the particles. Systems that include the sensor chip, as well as methods of preparing and using the sensor chip, are also disclosed.