Towards an Electronic Dog Nose: Surface Plasmon Resonance Immunosensor for Security and Safety

Onodera, Takeshi; Toko, Kiyoshi

doi:10.3390/s140916586

Cited by 41 publications

(33 citation statements)

References 109 publications

(98 reference statements)

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“…Already, new biomimetic approaches have been explored to broaden the capability of robots to adapt to unknown environmental situations (Shimoda and Kimura 2010;Shimoda et al 2013). Sensing technology such as mimicking gustatory and olfactory sensors has progressed (Tahara and Toko 2013;Toko 2013;Onodera and Toko 2014).…”

Section: Imperfect Human Life With Imperfect Robotsmentioning

confidence: 99%

An Acquaintance with An Aging Society

Yamada

2019

Social Sciences

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Low birth rates and higher life expectancy have been ravaging Japanese society. This article summarizes some of the latest medical knowledge and assistive activities, with a nod toward one nonprofit organization’s efforts to deliver better home healthcare to the elderly through housing and technologies, in the world’s first super-aging society. The response to the transforming society requires a combination of familiar customs and new technologies that create a favorable environment for mobility and continuous learning that are key to elderly health. As other countries will face similar issues, further international interdisciplinary knowledge-building will be necessary to face the challenges of super-aging societies.

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Section: Imperfect Human Life With Imperfect Robotsmentioning

confidence: 99%

An Acquaintance with An Aging Society

Yamada

2019

Social Sciences

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“…SPR immunosensor (Onodera and Toko 2014;Abadian et al 2014) can accurately monitor the changes in the refractive index caused by the binding reaction of antigen-antibody on the surface of the chip in real time Luz et al 2015), which made it have a significant advantage in rapid, selective and accurate detection of harmful substances, especially the small molecules in complex sample system. In the field of food safety detection (Suherman et al 2015;Mine et al 2013), SPR immunosensor has also attracted much attention from the researchers and been developed for trace residue detection due to its many advantages of reusability, high sensitivity, short detection time, and simple sample preparation process (Agrawa et al 2016;Suherman et al 2016;Lu et al 2014;Jorn and Edward 2005).…”

Section: Introductionmentioning

confidence: 99%

Stable and Sensitive Detection of Sulfonamide Residues in Animal-Derived Foods Using a Reproducible Surface Plasmon Resonance Immunosensor

Pan

Wang

et al. 2016

Food Anal. Methods

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In this research, a reproducible surface plasmon resonance (SPR) immunosensor based on inhibition format was fabricated for stable and sensitive detection of four sulfonamides (SAs) in animal-derived foods. The parameters in the fabrication and measurement process were optimized and discussed in details. The method using the proposed SPR immunosensor was validated and exhibited favorable performance for SAs residues detection in common animal-derived food products, as well as acceptable accuracy (pure milk 88.5-106.2%; egg 89.0-91.5%; chicken muscle 87.2-94.7%; beef 84.8-96.9%; fish 87.8-95.0%), precision (relative standard deviation (n = 3), pure milk 3.2-5.2%; egg 1.1-5.4%; chicken muscle 1.1-5.9%; beef 2.5-7.1%; fish 4.6-5.3%), and sensitivity (IC 15 , pure milk 59.6 ng mL − 1 , egg 56.1 ng mL − 1 , chicken muscle 66.9 ng mL −1 , beef 63.3 ng mL −1 , fish 62.7 ng mL −1 ). Each detection cycle could finish in less than 5 min, and each SPR chip could reuse 300 analysis cycles with response attenuation of 3.7%. These results have demonstrated that the proposed SPR immunosensor has offered an effective, accurate, sensitive, rapid, and low-cost methodology for SAs residue detection in food sample, and this method has great potential for the routine analysis of large numbers of samples on measuring different kinds of compounds.

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“…There are some standard techniques used for the detection of trace quantities of explosive materials. Some of these techniques for explosive material detection include gas chromatography 1 , 2-4 , x-ray analysis 5,6 , neutron activation 7-11 , chemiluminescence [12][13][14][15][16][17] , vapor detection via cantilever [18][19][20][21] systems and even biological techniques like dog noses [18][19][20][21][22][23][24][25][26] or honeybees 27,28 . However, despite the vast array of available techniques, none of these have yet proven 100% effective and ruggedized in the presence of a complex chemical background and under standard theatre environments encountered.…”

Section: Introductionmentioning

confidence: 99%

Raman Detection of improvised explosive device (IED) material fabricated using drop-on-demand Inkjet Technology on several real world surfaces

2015

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The requirement to detect hazardous materials (i.e., chemical, biological, and explosive) on a host of materials has led to the development of hazard detection systems. These new technologies and their capabilities could have immediate uses for the US military, national security agencies, and environmental response teams in efforts to keep people secure and safe. In particular, due to the increasing use by terrorists, the detection of common explosives and improvised explosive device (IED) materials have motivated research efforts toward detecting trace (i.e., particle level) quantities on multiple commonly encountered surfaces (e.g., textiles, metals, plastics, natural products, and even people). Non-destructive detection techniques can detect trace quantities of explosive materials; however, it can be challenging in the presence of a complex chemical background. One spectroscopic technique gaining increased attention for detection is Raman.One popular explosive precursor material is ammonium nitrate (AN). The material AN has many agricultural applications, however it can also be used in the fabrication of IEDs or homemade explosives (HMEs). In this paper, known amounts of AN will be deposited using an inkjet printer into several different common material surfaces (e.g., wood, human hair, textiles, metals, plastics). The materials are characterized with microscope images and by collecting Raman spectral data. In this report the detection and identification of AN will be demonstrated.

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Towards an Electronic Dog Nose: Surface Plasmon Resonance Immunosensor for Security and Safety

Cited by 41 publications

References 109 publications

An Acquaintance with An Aging Society

An Acquaintance with An Aging Society

Stable and Sensitive Detection of Sulfonamide Residues in Animal-Derived Foods Using a Reproducible Surface Plasmon Resonance Immunosensor

Raman Detection of improvised explosive device (IED) material fabricated using drop-on-demand Inkjet Technology on several real world surfaces

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