Solution-based circuits enable rapid and multiplexed pathogen detection

Lam, Brian; Das, Jagotamoy; Holmes, Richard D.; Live, Ludovic S.; Sage, A.T.; Sargent, Edward H.; Kelley, Shana O.

doi:10.1038/ncomms3001

Cited by 116 publications

(116 citation statements)

References 37 publications

Supporting

Mentioning

115

Contrasting

Order By: Relevance

“…It is therefore important to develop a fabrication technique whereby disorder can be produced on large scales and with controllable features. In order to assemble a broadband ENZ nanomaterial, we used an electroplating process that grows a random networks of gold (Au) nanowires from a flat metallic Au substrate [32][33][34][35] (Figure 1). Figure 2a shows SEM cross sections of a fabricated sample.…”

Section: Materials Design and Absorption Resultsmentioning

confidence: 99%

Complex epsilon-near-zero metamaterials for broadband light harvesting systems

Bonifazi

Tian

Fratalocchi

2018

Physics, Simulation, and Photonic Engineering of Photovoltaic Devices VII

View full text Add to dashboard Cite

We engineered an epsilon-near-zero (ENZ) material from suitably disordered metallic nanostructures. We create a new class of dispersionless composite materials that efficiently harnesses white light. By means of Atomic Force Microscopy (AFM) and Photoluminescence (PLE) measurements we experimentally demonstrate that this nanomaterial increases up to a record value the absorption of ultra-thin light harvesting films at visible and infrared wavelengths. Moreover, we obtained a 170% broadband increase of the external quantum efficiency (EQE) when these ENZ materials are inserted in an energy-harvesting module. We developed an inexpensive electrochemical deposition process that enables large-scale production of this material for energy-harvesting applications.

show abstract

Section: Materials Design and Absorption Resultsmentioning

confidence: 99%

Complex epsilon-near-zero metamaterials for broadband light harvesting systems

Bonifazi

Tian

Fratalocchi

2018

Physics, Simulation, and Photonic Engineering of Photovoltaic Devices VII

View full text Add to dashboard Cite

show abstract

“…In general, technologies based on biosensors have been applied in diagnostic investigations of a wide range of parasites as can be seen in Table 4. In this way, advanced research through the integration of different techniques for multiplexing and high-throughput analysis on a chip might lead to the development of multi-parasite detection devices highly advantageous for tropical parasitic diseases [161,162]. Moreover, microfluidic devices open new avenues to investigate full parasite behaviour [163,164] and parasite drug response [165] in order to design new strategies to fight them.…”

Section: The Critical Role Of Biosensors In Important Parasitic Diseamentioning

confidence: 99%

Sensing parasites: Proteomic and advanced bio-detection alternatives

Sánchez-Ovejero

Benito‐Lopez

Díez

et al. 2016

Journal of Proteomics

View full text Add to dashboard Cite

Journal of Proteomics 136 : 145-156 (2016) This work is made available online in accordance with publisher policies. To see the final version of this work please visit the publisher's website. Access to the published online version may require a subscription. This review provides the most recent methodological and technological advances with great potential for bio-sensing parasites in their hosts, showing the newest opportunities offered by modern "-omics" and platforms for parasite detection and control. Link to publisher's version

show abstract

“…15 This chip was equipped with solution circuits for multiplexed measurements of pathogenic bacteria and antibiotic-resistance biomarkers. 16 In general, nanostructured sensors coupled with massively labeled detection particles can provide very large signal enhancements. 4 Screen and ink-jet printed electrode arrays are quite useful for multiplexing, can be fabricated as or converted to nanostructured sensors, and can be integrated with microfluidics to detect panels of proteins.…”

Section: Clinical Protein Detectionmentioning

confidence: 99%