2020
DOI: 10.1080/10408398.2020.1803197
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Rapid and ultrasensitive detection of food contaminants using surface-enhanced Raman spectroscopy-based methods

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Cited by 42 publications
(24 citation statements)
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“…165 It has been employed for the recognition of bacteria in food 22 as well as for HIV-1 detection. [166][167][168] Recently, RS was applied for SARS-COVID-19 detection using Au nanoparticles. 169 However, signal ampli-cation was required due to the very low signal intensity, for which the plasmonic effects of different metallic nanoparticles can be applied.…”
Section: Surface-enhanced Raman Spectroscopy (Sers)mentioning
confidence: 99%
“…165 It has been employed for the recognition of bacteria in food 22 as well as for HIV-1 detection. [166][167][168] Recently, RS was applied for SARS-COVID-19 detection using Au nanoparticles. 169 However, signal ampli-cation was required due to the very low signal intensity, for which the plasmonic effects of different metallic nanoparticles can be applied.…”
Section: Surface-enhanced Raman Spectroscopy (Sers)mentioning
confidence: 99%
“…Molecularly imprinted polymers (MIPs), artificial recognition elements, are polymers that are fabricated via chemical, photochemical or electrochemical methods in the presence of a target template material of interest. Recently, they have been used for pathogen detection due to its excellent properties such as simple fabrication process together with their stability [ [55] , [56] , [57] , [58] , [59] , [60] ].…”
Section: Pathogen Detection With Electrochemical Biosensorsmentioning
confidence: 99%
“…As mentioned above, the Raman signals of bacteria originate from cell membranes with similar chemical structures and composition for most bacterial species. Thus, it is still challenging to distinguish closely related species, especially in bacterial mixtures [80,81]. In addition, cells should be washed repeatedly and resuspended in pure water to avoid the potential interference of the residual matrix or buffer.…”
Section: Detection Of Bacterial Metabolitesmentioning
confidence: 99%