Literature DB >> 34072374

Plasmonic Sensing Studies of a Gas-Phase Cystic Fibrosis Marker in Moisture Laden Air.

Libin Sun1,2, Douglas Conrad3, Drew A Hall4, Kurt D Benkstein2, Steve Semancik2, Mona E Zaghloul1.   

Abstract

A plasmonic sensing platform was developed as a noninvasive method to monitor gas-phase biomarkers related to cystic fibrosis (CF). The nanohole array (NHA) sensing platform is based on localized surface plasmon resonance (LSPR) and offers a rapid data acquisition capability. Among the numerous gas-phase biomarkers that can be used to assess the lung health of CF patients, acetaldehyde was selected for this investigation. Previous research with diverse types of sensing platforms, with materials ranging from metal oxides to 2-D materials, detected gas-phase acetaldehyde with the lowest detection limit at the µmol/mol (parts-per-million (ppm)) level. In contrast, this work presents a plasmonic sensing platform that can approach the nmol/mol (parts-per-billion (ppb)) level, which covers the required concentration range needed to monitor the status of lung infection and find pulmonary exacerbations. During the experimental measurements made by a spectrometer and by a smartphone, the sensing examination was initially performed in a dry air background and then with high relative humidity (RH) as an interferent, which is relevant to exhaled breath. At a room temperature of 23.1 °C, the lowest detection limit for the investigated plasmonic sensing platform under dry air and 72% RH conditions are 250 nmol/mol (ppb) and 1000 nmol/mol (ppb), respectively.

Entities:  

Keywords:  acetaldehyde; cystic fibrosis; humidity; image processing; localized surface plasmon resonance; plasmonic sensing

Mesh:

Substances:

Year:  2021        PMID: 34072374     DOI: 10.3390/s21113776

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  14 in total

1.  Defective intracellular transport and processing of CFTR is the molecular basis of most cystic fibrosis.

Authors:  S H Cheng; R J Gregory; J Marshall; S Paul; D W Souza; G A White; C R O'Riordan; A E Smith
Journal:  Cell       Date:  1990-11-16       Impact factor: 41.582

Review 2.  Light in tiny holes.

Authors:  C Genet; T W Ebbesen
Journal:  Nature       Date:  2007-01-04       Impact factor: 49.962

3.  The determination of acetaldehyde in exhaled breath.

Authors:  Robert Tardif
Journal:  Novartis Found Symp       Date:  2007

4.  Miniaturized nanohole array based plasmonic sensor for the detection of acetone and ethanol with insights into the kinetics of adsorptive plasmonic sensing.

Authors:  Yangyang Zhao; Kalisadhan Mukherjee; Kurt D Benkstein; Libin Sun; Kristen L Steffens; Christopher B Montgomery; Shiqi Guo; Steve Semancik; Mona E Zaghloul
Journal:  Nanoscale       Date:  2019-06-20       Impact factor: 7.790

5.  A rapid method for breath analysis in cystic fibrosis patients.

Authors:  R Kramer; A Sauer-Heilborn; T Welte; C A Guzman; M G Höfle; W-R Abraham
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2014-11-28       Impact factor: 3.267

6.  Breath analysis using laser spectroscopic techniques: breath biomarkers, spectral fingerprints, and detection limits.

Authors:  Chuji Wang; Peeyush Sahay
Journal:  Sensors (Basel)       Date:  2009-10-19       Impact factor: 3.576

7.  Breath gas metabolites and bacterial metagenomes from cystic fibrosis airways indicate active pH neutral 2,3-butanedione fermentation.

Authors:  Katrine L Whiteson; Simone Meinardi; Yan Wei Lim; Robert Schmieder; Heather Maughan; Robert Quinn; Donald R Blake; Douglas Conrad; Forest Rohwer
Journal:  ISME J       Date:  2014-01-09       Impact factor: 10.302

Review 8.  Advancing clinical development pathways for new CFTR modulators in cystic fibrosis.

Authors:  Nicole Mayer-Hamblett; Michael Boyle; Donald VanDevanter
Journal:  Thorax       Date:  2016-02-22       Impact factor: 9.139

9.  Dynamic Prediction of Survival in Cystic Fibrosis: A Landmarking Analysis Using UK Patient Registry Data.

Authors:  Ruth H Keogh; Shaun R Seaman; Jessica K Barrett; David Taylor-Robinson; Rhonda Szczesniak
Journal:  Epidemiology       Date:  2019-01       Impact factor: 4.822

10.  Microbiome networks and change-point analysis reveal key community changes associated with cystic fibrosis pulmonary exacerbations.

Authors:  Mehdi Layeghifard; Hannah Li; Pauline W Wang; Sylva L Donaldson; Bryan Coburn; Shawn T Clark; Julio Diaz Caballero; Yu Zhang; D Elizabeth Tullis; Yvonne C W Yau; Valerie Waters; David M Hwang; David S Guttman
Journal:  NPJ Biofilms Microbiomes       Date:  2019-01-21       Impact factor: 7.290

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