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Shintaro Pang

Researcher at University of Massachusetts Amherst

Publications -  19
Citations -  1114

Shintaro Pang is an academic researcher from University of Massachusetts Amherst. The author has contributed to research in topics: Raman spectroscopy & Aptamer. The author has an hindex of 16, co-authored 19 publications receiving 852 citations. Previous affiliations of Shintaro Pang include Brigham Young University.

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Review of surface enhanced Raman spectroscopic (SERS) detection of synthetic chemical pesticides

TL;DR: A comprehensive report of recent advances in SERS detection of synthetic chemical pesticides is given in this article, where the main advantages of using SERS for pesticide detection are highlighted, together with its limitations.
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Development of a single aptamer-based surface enhanced Raman scattering method for rapid detection of multiple pesticides.

TL;DR: The results show that the four pesticides can be captured and detected using principal component analysis based on their distinct fingerprint Raman peaks and demonstrated the super capacity of aptamer-based SERS in rapid detection and discrimination of multi-pesticides.
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Highly sensitive and selective detection of nitrite ions using Fe3O4@SiO2/Au magnetic nanoparticles by surface-enhanced Raman spectroscopy

TL;DR: The SERS-based technique was successfully employed to detect nitrite ions in pond water, a synthetic urine solution, and pickle brine, and is well suited for the detection of nitrites in real samples without pretreatment steps.
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Rapid Detection of Acetamiprid in Foods using Surface-Enhanced Raman Spectroscopy (SERS)

TL;DR: The SERS methods provide simple, rapid, and sensitive ways to detect acetamiprid in beverages and on the surfaces of thick skinned fruits and vegetables.
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Label-free mapping of single bacterial cells using surface-enhanced Raman spectroscopy

TL;DR: The results show the developed method is able to detect single bacterial cells adsorbed on the silver dendrites with a limit of detection as low as 10(4) CFU mL(-1), which is two orders of magnitude lower than the traditional SERS method under the same experimental condition.