Sensitive imaging of organelles in label-free cells by surface plasmon resonance in deep-ultraviolet region (Conference Presentation)

2016 ◽  
Author(s):  
Yoshimasa Kawata ◽  
Masakazu Kikawada ◽  
Atsushi Ono ◽  
Wataru Inami
Keyword(s):  
Surface Plasmon Resonance ◽  
Surface Plasmon ◽  
Plasmon Resonance ◽  
Ultraviolet Region ◽  
Label Free ◽  
Free Cells ◽  
Deep Ultraviolet

scholarly journals Localized surface plasmon resonance in deep ultraviolet region below 200 nm using a nanohemisphere on mirror structure

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Kohei Shimanoe ◽  
Soshi Endo ◽  
Tetsuya Matsuyama ◽  
Kenji Wada ◽  
Koichi Okamoto
Keyword(s):  
Surface Plasmon Resonance ◽  
Surface Plasmon ◽  
Plasmon Resonance ◽  
Localized Surface Plasmon Resonance ◽  
Localized Surface Plasmon ◽  
Ultraviolet Region ◽  
Simple Method ◽  
Thin Film Layer ◽  
Deep Ultraviolet ◽  
Two Peaks

AbstractLocalized surface plasmon resonance (LSPR) was performed in the deep ultraviolet (UVC) region with Al nanohemisphere structures fabricated by means of a simple method using a combination of vapor deposition, sputtering, and thermal annealing without top-down nanofabrication technology such as electron beam lithography. The LSPR in the UV region was obtained and tuned by the initial metal film thickness, annealing temperature, and dielectric spacer layer thickness. Moreover, we achieved a flexible tuning of the LSPR in a much deeper UVC region below 200 nm using a nanohemisphere on a mirror (NHoM) structure. NHoM is a structure in which a metal nanohemisphere is formed on a metal substrate that is interposed with an Al2O3 thin film layer. In the experimental validation, Al and Ga were used for the metal hemispheres. The LSPR spectrum of the NHoM structures was split into two peaks, and the peak intensities were enhanced and sharpened. The shorter branch of the LSPR peak appeared in the UVC region below 200 nm. Both the peak intensities and linewidth were flexibly tuned by the spacer thickness. This structure can contribute to new developments in the field of deep UV plasmonics.

Deep-Ultraviolet–Blue-Light Surface Plasmon Resonance of Al and Alcore/Al2O3shell in Spherical and Cylindrical Nanostructures

2012 ◽  
Vol 116 (29) ◽  
pp. 15584-15590 ◽  
Author(s):  
Jinlian Hu ◽  
Lu Chen ◽  
Zichao Lian ◽  
Min Cao ◽  
Haijin Li ◽  
...  
Keyword(s):  
Surface Plasmon Resonance ◽  
Blue Light ◽  
Surface Plasmon ◽  
Plasmon Resonance ◽  
Light Surface ◽  
Deep Ultraviolet

Plasma enhanced label-free immunoassay for alpha-fetoprotein based on a U-bend fiber-optic LSPR biosensor

RSC Advances ◽  
2015 ◽  
Vol 5 (31) ◽  
pp. 23990-23998 ◽  
Author(s):  
Gaoling Liang ◽  
Zhongjun Zhao ◽  
Yin Wei ◽  
Kunping Liu ◽  
Wenqian Hou ◽  
...  
Keyword(s):  
Surface Plasmon Resonance ◽  
Surface Plasmon ◽  
Plasmon Resonance ◽  
Localized Surface Plasmon Resonance ◽  
Fiber Optic ◽  
Cost Effective ◽  
Alpha Fetoprotein ◽  
Localized Surface Plasmon ◽  
Label Free

A simple, label-free and cost-effective localized surface plasmon resonance (LSPR) immunosensing method was developed for detection of alpha-fetoprotein (AFP).

scholarly journals Modifications of the PAMONO-Sensor Help to Size and Quantify Low Number of Individual Biological and Non-Biological Nano-Particles

2021 ◽  
Vol 6 (1) ◽  
pp. 26
Author(s):  
Rahat Morad Talukder ◽  
Al Shahriar Hossain Rakib ◽  
Julija Skolnik ◽  
Zohair Usfoor ◽  
Katharina Kaufmann ◽  
...  
Keyword(s):  
Surface Plasmon Resonance ◽  
Surface Plasmon ◽  
Plasmon Resonance ◽  
Nano Particles ◽  
Label Free ◽  
Specific Detection ◽  
Virus Like Particles ◽  
Low Concentrations ◽  
Challenging Tasks ◽  
Image Area

In a series of recently published works, we demonstrated that the plasmon-assisted microscopy of nano-objects (PAMONO) technique can be successfully employed for the sizing and quantification of single viruses, virus-like particles, microvesicles and charged non-biological particles. This approach enables label-free, but specific detection of biological nano-vesicles. Hence, the sensor, which was built up utilizing plasmon-assisted microscopy, possesses relative versatility and it can be used as a platform for cell-based assays. However, one of the challenging tasks for such a sensor was the ability to reach a homogeneous illumination of the whole surface of the gold sensor slide. Moreover, in order to enable the detection of even relatively low concentrations of nano-particles, the focused image area had to be expanded. Both tasks were solved via modifications of previously described PAMONO-sensor set ups. Taken together, our latest findings can help to develop a research and diagnostic platform based on the principles of the surface plasmon resonance (SPR)-assisted microscopy of nano-objects.

scholarly journals Trends in SPR Cytometry: Advances in Label-Free Detection of Cell Parameters

Biosensors ◽  
2018 ◽  
Vol 8 (4) ◽  
pp. 102 ◽  
Author(s):  
Richard Schasfoort ◽  
Fikri Abali ◽  
Ivan Stojanovic ◽  
Gestur Vidarsson ◽  
Leon Terstappen
Keyword(s):  
Surface Plasmon Resonance ◽  
Surface Plasmon ◽  
Plasmon Resonance ◽  
Mammalian Cells ◽  
Living Cells ◽  
Label Free ◽  
Intact Cells ◽  
Cell Parameters ◽  
Spr Imaging ◽  
Label Free Detection

SPR cytometry entails the measurement of parameters from intact cells using the surface plasmon resonance (SPR) phenomenon. Specific real-time and label-free binding of living cells to sensor surfaces has been made possible through the availability of SPR imaging (SPRi) instruments and researchers have started to explore its potential in the last decade. Here we will discuss the mechanisms of detection and additionally describe the problems and issues of mammalian cells in SPR biosensing, both from our own experience and with information from the literature. Finally, we build on the knowledge and applications that has already materialized in this field to give a forecast of some exciting applications for SPRi cytometry.

scholarly journals Rapid Antibody Selection Using Surface Plasmon Resonance for High-Speed and Sensitive Hazelnut Lateral Flow Prototypes

Biosensors ◽  
2018 ◽  
Vol 8 (4) ◽  
pp. 130 ◽  
Author(s):  
Georgina Ross ◽  
Maria Bremer ◽  
Jan Wichers ◽  
Aart van Amerongen ◽  
Michel Nielen
Keyword(s):  
Surface Plasmon Resonance ◽  
Surface Plasmon ◽  
Plasmon Resonance ◽  
High Speed ◽  
Selection Process ◽  
Low Cost ◽  
Real Life ◽  
Cross Reactivity ◽  
Lateral Flow ◽  
Label Free

Lateral Flow Immunoassays (LFIAs) allow for rapid, low-cost, screening of many biomolecules such as food allergens. Despite being classified as rapid tests, many LFIAs take 10–20 min to complete. For a really high-speed LFIA, it is necessary to assess antibody association kinetics. By using a label-free optical technique such as Surface Plasmon Resonance (SPR), it is possible to screen crude monoclonal antibody (mAb) preparations for their association rates against a target. Herein, we describe an SPR-based method for screening and selecting crude anti-hazelnut antibodies based on their relative association rates, cross reactivity and sandwich pairing capabilities, for subsequent application in a rapid ligand binding assay. Thanks to the SPR selection process, only the fast mAb (F-50-6B12) and the slow (S-50-5H9) mAb needed purification for labelling with carbon nanoparticles to exploit high-speed LFIA prototypes. The kinetics observed in SPR were reflected in LFIA, with the test line appearing within 30 s, almost two times faster when F-50-6B12 was used, compared with S-50-5H9. Additionally, the LFIAs have demonstrated their future applicability to real life samples by detecting hazelnut in the sub-ppm range in a cookie matrix. Finally, these LFIAs not only provide a qualitative result when read visually, but also generate semi-quantitative data when exploiting freely downloadable smartphone apps.

Label-Free Detection of Nappa: Surface Plasmon Resonance

2019 ◽  
pp. 287-304
Author(s):  
Manuel Fuentes ◽  
Sanjeeva Svrivastava ◽  
Nirosahan Ramachandran ◽  
Eugenie Hainsworth ◽  
Josh LaBaer
Keyword(s):  
Surface Plasmon Resonance ◽  
Surface Plasmon ◽  
Plasmon Resonance ◽  
Label Free ◽  
Label Free Detection
Sign in / Sign up

Export Citation Format

Share Document