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James A Covington

Showing results (21-30 of 72) with videos related to

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Analytical Chemistry|March 25, 2010
Fabrication of versatile channel flow cells for quantitative electroanalysis using prototypingMichael E Snowden, Philip H King, James A Covington, et al.
Molecules (Basel, Switzerland)|June 10, 2022
Application of MOS Gas Sensors Coupled with Chemometrics Methods to Predict the Amount of Sugar and Carbohydrates in PotatoesAli Khorramifar, Mansour Rasekh, Hamed Karami, et al.
Gastroenterology|November 14, 2017
Noninvasive Diagnosis of Pancreatic Cancer Through Detection of Volatile Organic Compounds in UrineRamesh P Arasaradnam, Alfian Wicaksono, Harrison O'Brien, et al.
Journal of Breath Research|September 3, 2019
Investigation of paediatric PKU breath malodour, comparing glycomacropeptide with phenylalanine free L-amino acid supplementsAkira Tiele, Anne Daly, John Hattersley, et al.
Chemistry (Weinheim an Der Bergstrasse, Germany)|April 15, 2010
Development of amino-oxazoline and amino-thiazoline organic catalysts for the ring-opening polymerisation of lactideJan M Becker, Sarah Tempelaar, Matthew J Stanford, et al.
Plos One|December 19, 2017
Identifying volatile metabolite signatures for the diagnosis of bacterial respiratory tract infection using electronic nose technology: A pilot studyJoseph M Lewis, Richard S Savage, Nicholas J Beeching, et al.
Sensors (Basel, Switzerland)|February 15, 2022
Minimal Gluten Exposure Alters Urinary Volatile Organic Compounds in Stable Coeliac DiseaseMichael McFarlane, Ramesh P Arasaradnam, Beryl Reed, et al.
Talanta|October 20, 2020
Volatile organic compounds (VOCs) for the non-invasive detection of pancreatic cancer from urineEmma Daulton, Alfian N Wicaksono, Akira Tiele, et al.
Analytical Chemistry|November 30, 2012
Ultrasensitive detection of dopamine using a carbon nanotube network microfluidic flow electrodeSiriwat Sansuk, Eleni Bitziou, Maxim B Joseph, et al.
Plos One|September 28, 2018
An improved machine learning pipeline for urinary volatiles disease detection: Diagnosing diabetesAndrea S Martinez-Vernon, James A Covington, Ramesh P Arasaradnam, et al.
Pageof 8

Showing results (21-30 of 72) with videos related to

Sort By:
Pageof 8
Analytical Chemistry|March 25, 2010
Fabrication of versatile channel flow cells for quantitative electroanalysis using prototypingMichael E Snowden, Philip H King, James A Covington, et al.
Molecules (Basel, Switzerland)|June 10, 2022
Application of MOS Gas Sensors Coupled with Chemometrics Methods to Predict the Amount of Sugar and Carbohydrates in PotatoesAli Khorramifar, Mansour Rasekh, Hamed Karami, et al.
Gastroenterology|November 14, 2017
Noninvasive Diagnosis of Pancreatic Cancer Through Detection of Volatile Organic Compounds in UrineRamesh P Arasaradnam, Alfian Wicaksono, Harrison O'Brien, et al.
Journal of Breath Research|September 3, 2019
Investigation of paediatric PKU breath malodour, comparing glycomacropeptide with phenylalanine free L-amino acid supplementsAkira Tiele, Anne Daly, John Hattersley, et al.
Chemistry (Weinheim an Der Bergstrasse, Germany)|April 15, 2010
Development of amino-oxazoline and amino-thiazoline organic catalysts for the ring-opening polymerisation of lactideJan M Becker, Sarah Tempelaar, Matthew J Stanford, et al.
Plos One|December 19, 2017
Identifying volatile metabolite signatures for the diagnosis of bacterial respiratory tract infection using electronic nose technology: A pilot studyJoseph M Lewis, Richard S Savage, Nicholas J Beeching, et al.
Sensors (Basel, Switzerland)|February 15, 2022
Minimal Gluten Exposure Alters Urinary Volatile Organic Compounds in Stable Coeliac DiseaseMichael McFarlane, Ramesh P Arasaradnam, Beryl Reed, et al.
Talanta|October 20, 2020
Volatile organic compounds (VOCs) for the non-invasive detection of pancreatic cancer from urineEmma Daulton, Alfian N Wicaksono, Akira Tiele, et al.
Analytical Chemistry|November 30, 2012
Ultrasensitive detection of dopamine using a carbon nanotube network microfluidic flow electrodeSiriwat Sansuk, Eleni Bitziou, Maxim B Joseph, et al.
Plos One|September 28, 2018
An improved machine learning pipeline for urinary volatiles disease detection: Diagnosing diabetesAndrea S Martinez-Vernon, James A Covington, Ramesh P Arasaradnam, et al.
Pageof 8