Silicon nanomembrane based Devices for Optical Sensing and On-chip Interconnects

Author(s):  
Ray T. Chen ◽  
Xingyu Zhang
Sensors ◽  
2019 ◽  
Vol 19 (4) ◽  
pp. 878 ◽  
Author(s):  
Ana Hernandez ◽  
Fabian Dortu ◽  
Theo Veenstra ◽  
Paula Ciaurriz ◽  
Rafael Casquel ◽  
...  

We report the integration of an automated chemical optical sensing unit for the parallel interrogation of 12 BICELLs in a sensing chip. The work was accomplished under the European Project Enviguard (FP7-OCEAN-2013-614057) with the aim of demonstrating an optical nano-biosensing unit for the in-situ detection of various chemical pollutants simultaneously in oceanic waters. In this context, we designed an optical sensing chip based on resonant nanopillars (R-NPs) transducers organized in a layout of twelve biophotonic sensing cells (BICELLs). The sensing chip is interrogated in reflection with a 12-channels optical spectrometer equipped with an embedded computer-on-chip performing image processing for the simultaneous acquisition and analysis (resonant mode fitting) of the 12 spectra. A microfluidic chip and an automated flow control system composed of four pumps and a multi-path micro-valve makes it possible to drive different complex protocols. A rack was designed ad-hoc for the integration of all the modules. As a proof of concept, fluids of different refractive index (RI) were flowed in the system in order to measure the time response (sensogram) of the R-NPs under optical reflectance, and assess the sensors’ bulk sensitivity (285.9 ± 16.4 nm/RIU) and Limit of Detection (LoD) (2.95 × 10−6 RIUS). The real-time response under continuous flow of a sensor chip based on R-NP is showed for the first time, obtaining 12 sensograms simultaneously, featuring the unit as a potential excellent multiplexed detection system. These results indicate the high potential of the developed chemical sensing unit to be used for in-situ, multiplex and automatic optical biosensing.


Author(s):  
R. Osellame ◽  
R. Martinez Vazquez ◽  
R. Ramponi ◽  
G. Cerullo ◽  
C. Dongre ◽  
...  

Optik ◽  
2021 ◽  
Vol 232 ◽  
pp. 166576
Author(s):  
Sepideh Ebrahimi ◽  
Shima Poorgholam-Khanjari
Keyword(s):  
Q Factor ◽  

2012 ◽  
Vol 20 (21) ◽  
pp. 24093
Author(s):  
Jun Song ◽  
Xiang Zhou ◽  
Yuan-zhou Li ◽  
Xuan Li

2012 ◽  
Author(s):  
Jacqueline A. Nichols ◽  
Emily L. Landry ◽  
Brandon Born ◽  
Michael Wiltshire ◽  
Christopher M. Collier ◽  
...  

2012 ◽  
Vol 20 (17) ◽  
pp. 19226 ◽  
Author(s):  
Jun Song ◽  
Xiang Zhou ◽  
Yuan-zhou Li ◽  
Xuan Li

2020 ◽  
Vol 477 (14) ◽  
pp. 2679-2696
Author(s):  
Riddhi Trivedi ◽  
Kalyani Barve

The intestinal microbial flora has risen to be one of the important etiological factors in the development of diseases like colorectal cancer, obesity, diabetes, inflammatory bowel disease, anxiety and Parkinson's. The emergence of the association between bacterial flora and lungs led to the discovery of the gut–lung axis. Dysbiosis of several species of colonic bacteria such as Firmicutes and Bacteroidetes and transfer of these bacteria from gut to lungs via lymphatic and systemic circulation are associated with several respiratory diseases such as lung cancer, asthma, tuberculosis, cystic fibrosis, etc. Current therapies for dysbiosis include use of probiotics, prebiotics and synbiotics to restore the balance between various species of beneficial bacteria. Various approaches like nanotechnology and microencapsulation have been explored to increase the permeability and viability of probiotics in the body. The need of the day is comprehensive study of mechanisms behind dysbiosis, translocation of microbiota from gut to lung through various channels and new technology for evaluating treatment to correct this dysbiosis which in turn can be used to manage various respiratory diseases. Microfluidics and organ on chip model are emerging technologies that can satisfy these needs. This review gives an overview of colonic commensals in lung pathology and novel systems that help in alleviating symptoms of lung diseases. We have also hypothesized new models to help in understanding bacterial pathways involved in the gut–lung axis as well as act as a futuristic approach in finding treatment of respiratory diseases caused by dysbiosis.


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