2018
DOI: 10.1021/acs.analchem.8b03905
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Ω-Shaped Fiber-Optic Probe-Based Localized Surface Plasmon Resonance Biosensor for Real-Time Detection of Salmonella Typhimurium

Abstract: A novel, Ω-shaped fiber-optic localized surface plasmon resonance (FOLSPR) biosensor was designed for sensitive real-time and label-free bacterial detection. The designed Ω-shaped fiber-optic probe exhibits an outstanding sensitivity, due to the effect of unique geometry on performance. The results show that refractive index (RI) sensitivity of the Ω-shaped fiber-optic probe is 14 times and 2.5 times higher than those of the straight-shaped and the Ushaped FOLSPR, respectively. In addition, the reason for the … Show more

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Cited by 58 publications
(30 citation statements)
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“…In 2018, a Ω-Shaped Fiber-Optic Probe-Based Localized Surface Plasmon Resonance (FOLSPR) Biosensor was used in the quantification of S. Typhimurium. The sensor detected S. Typhimurium down to 128 CFU/mL within a linear range from 5 × 10 2 to 1 × 10 8 CFU/mL [89].…”
Section: Optical Biosensorsmentioning
confidence: 99%
“…In 2018, a Ω-Shaped Fiber-Optic Probe-Based Localized Surface Plasmon Resonance (FOLSPR) Biosensor was used in the quantification of S. Typhimurium. The sensor detected S. Typhimurium down to 128 CFU/mL within a linear range from 5 × 10 2 to 1 × 10 8 CFU/mL [89].…”
Section: Optical Biosensorsmentioning
confidence: 99%
“…In order to prevent the spread of infectious diseases, developing a sensitive and accurate analytical method for pathogen detection is of great significance to food safety and global public health. [3][4][5][6] In the past, a large number of pathogen analysis methods, such as the culture and colony counting method, the polymerase chain reaction (PCR) and the enzyme-linked immunosorbent assay (ELISA) have been developed. [7][8][9] However, these traditional methods are costly and labor-intensive and require specialized instruments and operators, which are difficult to meet the requirement of bioanalysis nowadays.…”
Section: Introductionmentioning
confidence: 99%
“…Biosensing can be divided into three basic stages of target recognition, signal amplification, and signal output, of which specific target recognition and signal output are essential. , However, it is always difficult to produce ample signal only through the one-to-one interaction between the target and the recognition element, especially when the binding affinity is relatively weak. , Therefore, effective signal amplification is usually crucial and necessary for achieving sensitive target detection. , …”
Section: Introductionmentioning
confidence: 99%