Anisotropic nanoparticles (i.e., silver nanocubes) were functionalized with target-specific antibodies and Raman active tags to serve as nanoprobes for the rapid detection of bacteria in a test-in-a-tube platform. A self-referencing scheme was developed and implemented in which surface enhanced Raman spectroscopic (SERS) signatures of the targets were observed superimposed with the SERS signals of the Raman tags. The assessment through the dual signals (superimposed target and tag Raman signatures) supported a specific recognition of the targets in a single step with no washing/separation needed to a sensitivity of 102 CFU/mL, even in the presence of non-target bacteria at a 10 times higher concentration. The self-referencing protocol imple...
This work explores the development and application of chip-scale bioassays based on surface-enhanced...
Agricultural pollutants are harmful components threatening human health, wildlife, the environment, ...
Citation: Wang, C., Madiyar, F., Yu, C. X., & Li, J. (2017). Detection of extremely low concentratio...
Anisotropic nanoparticles (i.e., silver nanocubes) were functionalized with target-specific antibodi...
Anisotropic nanoparticles (i.e., silver nanocubes) were functionalized with target-specific antibodi...
Rapid and sensitive methods have been developed to detect foodborne pathogens, a development that is...
This mini-review summarizes the most recent progress concerning the use of surface-enhanced Raman sp...
Background: Mass gathering is a risk factor for infectious diseases transmission. Therefore, rapid d...
A nanobiosensor chip, utilizing surface enhanced Raman spectroscopy (SERS) on nanosculptured thin fi...
Testing for the presence of microorganisms in biological samples in order to diagnose infections is ...
Sensitive, selective, rapid, and label-free detection of pathogenic bacteria with high generality is...
Detection of pathogenic organisms in the environment presents several challenges due to the high cos...
Techniques to distinguish between live and dead bacteria in a quantitative manner are in high demand...
There is a challenge to obtain an ultrasensitive and rapid approach to detect bacteria and identify ...
The bio-sensing for the convenient detection of bacteria has been widely explored with the use of va...
This work explores the development and application of chip-scale bioassays based on surface-enhanced...
Agricultural pollutants are harmful components threatening human health, wildlife, the environment, ...
Citation: Wang, C., Madiyar, F., Yu, C. X., & Li, J. (2017). Detection of extremely low concentratio...
Anisotropic nanoparticles (i.e., silver nanocubes) were functionalized with target-specific antibodi...
Anisotropic nanoparticles (i.e., silver nanocubes) were functionalized with target-specific antibodi...
Rapid and sensitive methods have been developed to detect foodborne pathogens, a development that is...
This mini-review summarizes the most recent progress concerning the use of surface-enhanced Raman sp...
Background: Mass gathering is a risk factor for infectious diseases transmission. Therefore, rapid d...
A nanobiosensor chip, utilizing surface enhanced Raman spectroscopy (SERS) on nanosculptured thin fi...
Testing for the presence of microorganisms in biological samples in order to diagnose infections is ...
Sensitive, selective, rapid, and label-free detection of pathogenic bacteria with high generality is...
Detection of pathogenic organisms in the environment presents several challenges due to the high cos...
Techniques to distinguish between live and dead bacteria in a quantitative manner are in high demand...
There is a challenge to obtain an ultrasensitive and rapid approach to detect bacteria and identify ...
The bio-sensing for the convenient detection of bacteria has been widely explored with the use of va...
This work explores the development and application of chip-scale bioassays based on surface-enhanced...
Agricultural pollutants are harmful components threatening human health, wildlife, the environment, ...
Citation: Wang, C., Madiyar, F., Yu, C. X., & Li, J. (2017). Detection of extremely low concentratio...