Plasmonic Absorption Enabled Analyte Detection Using Piezotransistive Microcantilevers

2018 ◽  
Author(s):  
Digangana Khan ◽  
Durga Gajula ◽  
Ferhat Bayram ◽  
Goutam Koley
Keyword(s):  
Analyte Detection

Novel Advanced Approaches in Sample Preparation and Analyte Detection for Bioanalysis

2006 ◽  
Vol 2 (4) ◽  
pp. 385-404 ◽  
Author(s):  
Georgios Theodoridis ◽  
Ioannis Papadoyannis
Keyword(s):  
Sample Preparation ◽  
Analyte Detection

Multi-analyte detection handheld analyzer for point-of-care application with disposable biochips

2004 ◽  
Author(s):  
M. Dutta ◽  
S. Chilukuru ◽  
L. Ramasamy ◽  
Xiaoshan Zhu ◽  
Jaephil Do ◽  
...  
Keyword(s):  
Point Of Care ◽  
Analyte Detection

Evaluation of nanopores as candidates for electronic analyte detection

2002 ◽  
Vol 23 (16) ◽  
pp. 2592-2601 ◽  
Author(s):  
Jonathan Nakane ◽  
Mark Akeson ◽  
Andre Marziali
Keyword(s):  
Analyte Detection

scholarly journals Size-selective analyte detection with a Young interferometer sensor using multiple wavelengths

2016 ◽  
Vol 24 (8) ◽  
pp. 8594 ◽  
Author(s):  
Harmen K. P. Mulder ◽  
Christian Blum ◽  
Vinod Subramaniam ◽  
Johannes. S. Kanger
Keyword(s):  
Multiple Wavelengths ◽  
Analyte Detection

Name Reactions: Strategies in Design of Chemodosimeters for Analyte Detection

2021 ◽  
Author(s):  
Ajit Kumar Mahapatra ◽  
Anwesha Maiti ◽  
Saikat Kumar Manna ◽  
Dipanjan Banik
Keyword(s):  
Molecular Recognition ◽  
Chemical Reactions ◽  
Design And Synthesis ◽  
Analyte Detection

Design and synthesis of suitable chemodosimeters for detection of toxic analytes has become challenging for new researchers nowadays in the molecular recognition field. Among different chemical reactions, name reaction-based approaches...

scholarly journals Protocell Arrays for Simultaneous Detection of Diverse Analytes

2021 ◽  
Author(s):  
Yan Zhang ◽  
Taisuke Kojima ◽  
Ge-Ah Kim ◽  
Monica P. McNerney ◽  
Shuichi Takayama ◽  
...  
Keyword(s):  
Small Molecules ◽  
Simultaneous Detection ◽  
Sample Volume ◽  
Free Expression ◽  
Phase System ◽  
Two Phase ◽  
Complex Decision Making ◽  
Multiple Analytes ◽  
Complex Decision ◽  
Analyte Detection

AbstractSimultaneous detection of multiple analytes from a single sample (multiplexing), particularly when at the point of need, can guide complex decision-making without increasing the required sample volume or cost per test. Despite recent advances, multiplexing still typically faces the critical limitation of measuring only one type of molecule per assay platform – for example, only small molecules or only nucleic acids. In this work, we address this bottleneck with a customizable platform that integrates cell-free expression (CFE) with a polymer-based aqueous two-phase system (ATPS) to produce membrane-less “protocells” containing transcription and translation machinery used for analyte detection. Multiple protocells are arrayed in microwells where each protocell droplet performs distinct reactions to detect chemically diverse targets including small molecules, minerals, and nucleic acid sequences, all from the same sample. We demonstrate that these protocell arrays can measure analytes in a human biofluid matrix, maintain function after lyophilization and rehydration, and produce visually interpretable readouts, illustrating its potential for application as a minimal-equipment, field-deployable, multi-analyte detection tool.

scholarly journals Curating Metal-Organic Frameworks to Compose Robust Gas Sensor Arrays in Dilute Conditions

2019 ◽  
Author(s):  
Arni Sturluson ◽  
Rachel Sousa ◽  
Yujing Zhang ◽  
Melanie T. Huynh ◽  
Caleb Laird ◽  
...  
Keyword(s):  
Sensor Array ◽  
Gas Sensing ◽  
Metal Organic Frameworks ◽  
Sensor Arrays ◽  
Gas Composition ◽  
Composition Space ◽  
The Matrix ◽  
Metal Organic ◽  
Analyte Detection ◽  
Value Decomposition

Metal-organic frameworks (MOFs)-- tunable, nano-porous materials-- are alluring recognition elements for gas sensing. Mimicking human olfaction, an array of cross-sensitive, MOF-based sensors could enable analyte detection in complex, variable gas mixtures containing confounding gas species. Herein, we address the question: given a set of MOF candidates and their adsorption properties, how do we select the optimal subset to compose a sensor array that accurately and robustly predicts the gas composition via monitoring the adsorbed mass in each MOF? We first mathematically formulate the MOF-based sensor array problem under dilute conditions. Instructively, the sensor array can be viewed as a linear map from <i>gas composition space</i> to <i>sensor array response space</i> defined by the matrix <b>H</b> of Henry coefficients of the gases in the MOFs. Characterizing this mapping, the singular value decomposition of <b>H </b>is a useful tool for evaluating MOF subsets for sensor arrays, as it determines the sensitivity of the predicted gas composition to measurement error, quantifies the magnitude of the response to changes in composition, and recovers which direction in gas composition space elicits the largest/smallest response. To illustrate, on the basis of experimental adsorption data, we curate MOFs for a sensor array with the objective of determining the concentration of CO<sub>2</sub> and SO<sub>2</sub> in the gas phase.

U-Grooved Dual-Channel Plasmonic Sensor for Simultaneous Multi-analyte Detection

2021 ◽  
Author(s):  
Abrar Islam ◽  
Firoz Haider ◽  
Rifat Ahmmed Aoni ◽  
Moqbull Hossen ◽  
Feroza Begum ◽  
...  
Keyword(s):  
Plasmonic Sensor ◽  
Dual Channel ◽  
Analyte Detection
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