5 research outputs found
Recommended from our members
Portable Microfluidic Integrated Plasmonic Platform for Pathogen Detection
Timely detection of infectious agents is critical in early diagnosis and treatment of infectious diseases. Conventional pathogen detection methods, such as enzyme linked immunosorbent assay (ELISA), culturing or polymerase chain reaction (PCR) require long assay times, and complex and expensive instruments, which are not adaptable to point-of-care (POC) needs at resource-constrained as well as primary care settings. Therefore, there is an unmet need to develop simple, rapid, and accurate methods for detection of pathogens at the POC. Here, we present a portable, multiplex, inexpensive microfluidic-integrated surface plasmon resonance (SPR) platform that detects and quantifies bacteria, i.e., Escherichia coli (E. coli) and Staphylococcus aureus (S. aureus) rapidly. The platform presented reliable capture and detection of E. coli at concentrations ranging from ~105 to 3.2 × 107 CFUs/mL in phosphate buffered saline (PBS) and peritoneal dialysis (PD) fluid. The multiplexing and specificity capability of the platform was also tested with S. aureus samples. The presented platform technology could potentially be applicable to capture and detect other pathogens at the POC and primary care settings
Counting Molecules with a Mobile Phone Camera Using Plasmonic Enhancement
Plasmonic
field enhancement enables the acquisition of Raman spectra at a single
molecule level. Here we investigate the detection of surface enhanced
Raman signal using the unmodified image sensor of a smart phone, integrated
onto a confocal Raman system. The sensitivity of a contemporary smart
phone camera is compared to a photomultiplier and a cooled charge-coupled
device. The camera displays a remarkably high sensitivity, enabling
the observation of the weak unenhanced Raman scattering signal from
a silicon surface, as well as from liquids, such as ethanol. Using
high performance wide area plasmonic substrates that enhance the Raman
signal 10<sup>6</sup> to 10<sup>7</sup> times, blink events typically
associated with single molecule motion, are observed on the smart
phone camera. Raman spectra can also be collected on the smart phone
by converting the camera into a low resolution spectrometer with the
inclusion of a collimator and a dispersive optical element in front
of the camera. In this way, spectral content of the blink events can
be observed on the plasmonic substrate, in real time, at 30 frames
per second
Counting Molecules with a Mobile Phone Camera Using Plasmonic Enhancement
Plasmonic
field enhancement enables the acquisition of Raman spectra at a single
molecule level. Here we investigate the detection of surface enhanced
Raman signal using the unmodified image sensor of a smart phone, integrated
onto a confocal Raman system. The sensitivity of a contemporary smart
phone camera is compared to a photomultiplier and a cooled charge-coupled
device. The camera displays a remarkably high sensitivity, enabling
the observation of the weak unenhanced Raman scattering signal from
a silicon surface, as well as from liquids, such as ethanol. Using
high performance wide area plasmonic substrates that enhance the Raman
signal 10<sup>6</sup> to 10<sup>7</sup> times, blink events typically
associated with single molecule motion, are observed on the smart
phone camera. Raman spectra can also be collected on the smart phone
by converting the camera into a low resolution spectrometer with the
inclusion of a collimator and a dispersive optical element in front
of the camera. In this way, spectral content of the blink events can
be observed on the plasmonic substrate, in real time, at 30 frames
per second
Counting Molecules with a Mobile Phone Camera Using Plasmonic Enhancement
Plasmonic
field enhancement enables the acquisition of Raman spectra at a single
molecule level. Here we investigate the detection of surface enhanced
Raman signal using the unmodified image sensor of a smart phone, integrated
onto a confocal Raman system. The sensitivity of a contemporary smart
phone camera is compared to a photomultiplier and a cooled charge-coupled
device. The camera displays a remarkably high sensitivity, enabling
the observation of the weak unenhanced Raman scattering signal from
a silicon surface, as well as from liquids, such as ethanol. Using
high performance wide area plasmonic substrates that enhance the Raman
signal 10<sup>6</sup> to 10<sup>7</sup> times, blink events typically
associated with single molecule motion, are observed on the smart
phone camera. Raman spectra can also be collected on the smart phone
by converting the camera into a low resolution spectrometer with the
inclusion of a collimator and a dispersive optical element in front
of the camera. In this way, spectral content of the blink events can
be observed on the plasmonic substrate, in real time, at 30 frames
per second
Counting Molecules with a Mobile Phone Camera Using Plasmonic Enhancement
Plasmonic
field enhancement enables the acquisition of Raman spectra at a single
molecule level. Here we investigate the detection of surface enhanced
Raman signal using the unmodified image sensor of a smart phone, integrated
onto a confocal Raman system. The sensitivity of a contemporary smart
phone camera is compared to a photomultiplier and a cooled charge-coupled
device. The camera displays a remarkably high sensitivity, enabling
the observation of the weak unenhanced Raman scattering signal from
a silicon surface, as well as from liquids, such as ethanol. Using
high performance wide area plasmonic substrates that enhance the Raman
signal 10<sup>6</sup> to 10<sup>7</sup> times, blink events typically
associated with single molecule motion, are observed on the smart
phone camera. Raman spectra can also be collected on the smart phone
by converting the camera into a low resolution spectrometer with the
inclusion of a collimator and a dispersive optical element in front
of the camera. In this way, spectral content of the blink events can
be observed on the plasmonic substrate, in real time, at 30 frames
per second