Sandwich method-based sensitivity enhancement of Ω-shaped fiber optic LSPR for time-flexible bacterial detection

Liu, Yu; Wang, Xu; Wei, Ning; Yang, Enlai; Li, Yongxin; Luo, Zewei; Duan, Yixiang

doi:10.1016/j.bios.2021.113911

Cited by 27 publications

(20 citation statements)

References 47 publications

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“…Recently, some new sensitization methods have also been used to improve the sensitivity of the Ω-type sensors. In 2022, gold nanoparticles of two sizes [ 82 ] were proposed to achieve specific detection of Salmonella typhimurium by the sandwich method. The small-sized gold nanoparticles of about 15 nm can be quickly modified to the surface of the fiber, which saves preparation time.…”

Section: Structure Classification and Application Of Lspr Fiber-optic...mentioning

confidence: 99%

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Recent Advancements of LSPR Fiber-Optic Biosensing: Combination Methods, Structure, and Prospects

Zhang

Zhou

et al. 2023

Biosensors

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Fiber-optic biosensors based on localized surface plasmon resonance (LSPR) have the advantages of great biocompatibility, label-free, strong stability, and real-time monitoring of various analytes. LSPR fiber-optic biosensors have attracted extensive research attention in the fields of environmental science, clinical medicine, disease diagnosis, and food safety. The latest development of LSPR fiber-optic biosensors in recent years has focused on the detection of clinical disease markers and the detection of various toxic substances in the environment and the progress of new sensitization mechanisms in LSPR fiber-optic sensors. Therefore, this paper reviews the LSPR fiber-optic sensors from the aspects of working principle, structure, and application fields in biosensors. According to the structure, the sensor can be divided into three categories: traditional ordinary optical fiber, special shape optical fiber, and specialty optical fiber. The advantages and disadvantages of existing and future LSPR fiber-optic biosensors are discussed in detail. Additionally, the prospect of future development of fiber-optic biosensors based on LSPR is addressed.

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Section: Structure Classification and Application Of Lspr Fiber-optic...mentioning

confidence: 99%

Section: Figurementioning

confidence: 99%

Recent Advancements of LSPR Fiber-Optic Biosensing: Combination Methods, Structure, and Prospects

Zhang

Zhou

et al. 2023

Biosensors

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“…Fortunately, the Luo group selected aptamers targeted toward the N protein . PolyA finely tunes the density and orientation of surface-tethered oligonucleotides, causing a primary effect on the sensitivity of biosensors. , The aptamer with the single-stranded DNA with a negative charge easily absorbs on the citrate-wrapped AuNP surface . However, duplex-stranded DNA was hard to interact with the AuNPs due to electron screening.…”

Section: Introductionmentioning

confidence: 99%

“…15 PolyA finely tunes the density and orientation of surface-tethered oligonucleotides, 16 causing a primary effect on the sensitivity of biosensors. 17,18 The aptamer with the singlestranded DNA with a negative charge easily absorbs on the citrate-wrapped AuNP surface. 19 However, duplex-stranded DNA was hard to interact with the AuNPs due to electron A localized surface plasmon resonance (LSPR) biosensor based on fiber optics is real-time analysis technology.…”

Section: ■ Introductionmentioning

confidence: 99%

T-Shaped Aptamer-Based LSPR Biosensor Using Ω-Shaped Fiber Optic for Rapid Detection of SARS-CoV-2

Luo

Cheng

et al. 2022

Anal. Chem.

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SARS-CoV-2, especially the variant strains, is rapidly spreading around the world. Rapid detection methods for the virus are crucial for controlling the COVID-19 epidemic. Herein, a localized surface plasmonic resonance (LSPR) biosensor based on Ω-shaped fiber optic (Ω-FO) was developed for dual assays of SARS-CoV-2 monitoring. Due to its strong ability to control the orientation and density, a new T-shaped aptamer exhibits enhanced binding affinity toward N proteins. After being combined on the fiber optic surface, the T-shaped aptamer sensitively captured N proteins of SARS-CoV-2 for a direct assay. Further, core–shell structured gold/silver nanoparticles functionalized with a T-shaped aptamer (apt-Ag@AuNPs) can amplify the signal of N protein detection for a sandwich assay. The real-time analytical feature of the dual assays endows time-dependent sensitivity enhancement behavior, which provides a guideline to save analytical time. With those characteristics, the LSPR biosensor has been successfully used to rapidly identify 39 healthy volunteers and 39 COVID-19 patients infected with the ancestral or variant SARS-CoV-2. With the help of simple pretreatment, we obtain a true negative rate of 100% and a true positive rate of 92.3% with a short analysis time of 45 min using the direct assay. Further, the LSPR biosensor could also broaden the detection application range to the surface of cold-chain foods using a sandwich assay. Thus, the LSPR biosensor based on Ω-FO was demonstrated to have broad application potential to detect SARS-CoV-2 rapidly.

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“…Plate counting (24–48 h) methods should be replaced by novel biosensor systems as an alternative reliable pathogen detection technique, demonstrated by the use of nanoparticles in last few years [ 5 , 6 , 7 ]. In these developed biosensor systems, different analytical techniques are used, such as surface enhanced Raman scattering (SERS) [ 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 ], fluorescence [ 16 , 17 , 18 , 19 ], enzyme-linked immunosorbent assay (ELISA) [ 20 , 21 , 22 ], surface plasmon resonance (SPR) [ 23 , 24 ], electrochemical methods [ 25 , 26 , 27 ] and colorimetric methods [ 28 , 29 ]. SERS is a very good alternative analytical technique due to its high sensitivity, which can even detect a single bacterium.…”

Section: Introductionmentioning

confidence: 99%

Escherichia coli Enumeration in a Capillary-Driven Microfluidic Chip with SERS

et al. 2022

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Pathogen detection is still a challenging issue for public health, especially in food products. A selective preconcentration step is also necessary if the target pathogen concentration is very low or if the sample volume is limited in the analysis. Plate counting (24–48 h) methods should be replaced by novel biosensor systems as an alternative reliable pathogen detection technique. The usage of a capillary-driven microfluidic chip is an alternative method for pathogen detection, with the combination of surface-enhanced Raman scattering (SERS) measurements. Here, we constructed microchambers with capillary microchannels to provide nanoparticle–pathogen transportation from one chamber to the other. Escherichia coli (E. coli) was selected as a model pathogen and specific antibody-modified magnetic nanoparticles (MNPs) as a capture probe in a complex milk matrix. MNPs that captured E. coli were transferred in a capillary-driven microfluidic chip consisting of four chambers, and 4-aminothiophenol (4-ATP)-labelled gold nanorods (Au NRs) were used as the Raman probe in the capillary-driven microfluidic chip. The MNPs provided immunomagnetic (IMS) separation and preconcentration of analytes from the sample matrix and then, 4-ATP-labelled Au NRs provided an SERS response by forming sandwich immunoassay structures in the last chamber of the capillary-driven microfluidic chip. The developed SERS-based method could detect 101–107 cfu/mL of E. coli with the total analysis time of less than 60 min. Selectivity of the developed method was also tested by using Salmonella Enteritidis (S. Enteritidis) and Staphylococcus aureus (S. aureus) as analytes, and very weak signals were observed.

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Sandwich method-based sensitivity enhancement of Ω-shaped fiber optic LSPR for time-flexible bacterial detection

Cited by 27 publications

References 47 publications

Recent Advancements of LSPR Fiber-Optic Biosensing: Combination Methods, Structure, and Prospects

Recent Advancements of LSPR Fiber-Optic Biosensing: Combination Methods, Structure, and Prospects

T-Shaped Aptamer-Based LSPR Biosensor Using Ω-Shaped Fiber Optic for Rapid Detection of SARS-CoV-2

Escherichia coli Enumeration in a Capillary-Driven Microfluidic Chip with SERS

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