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3D-printed and CNC milled flow-cells for chemiluminescence detection

Spilstead,KB, Learey,JJ, Doeven,EH, Barbante,GJ, Mohr,S, Barnett,NW, Terry,JM, Hall,RM and Francis,PS 2014, 3D-printed and CNC milled flow-cells for chemiluminescence detection, Talanta, vol. 126, pp. 110-115, doi: 10.1016/j.talanta.2014.03.047.

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Title 3D-printed and CNC milled flow-cells for chemiluminescence detection
Author(s) Spilstead,KB
Learey,JJ
Doeven,EHORCID iD for Doeven,EH orcid.org/0000-0003-2677-4269
Barbante,GJ
Mohr,S
Barnett,NW
Terry,JM
Hall,RM
Francis,PSORCID iD for Francis,PS orcid.org/0000-0003-4165-6922
Journal name Talanta
Volume number 126
Start page 110
End page 115
Publisher Elsevier BV
Place of publication Amsterdam, Netherlands
Publication date 2014-08
ISSN 0039-9140
1873-3573
Keyword(s) 3D-printing
Acidic potassium permanganate
CNC milling
Chemiluminescence
Flow injection analysis
Flow-cells
Science & Technology
Physical Sciences
Chemistry, Analytical
Chemistry
ACIDIC POTASSIUM-PERMANGANATE
PERFORMANCE LIQUID-CHROMATOGRAPHY
INJECTION ANALYSIS
CITRUS-AURANTIUM
REAGENT
SYSTEM
Summary Herein we explore modern fabrication techniques for the development of chemiluminescence detection flow-cells with features not attainable using the traditional coiled tubing approach. This includes the first 3D-printed chemiluminescence flow-cells, and a milled flow-cell designed to split the analyte stream into two separate detection zones within the same polymer chip. The flow-cells are compared to conventional detection systems using flow injection analysis (FIA) and high performance liquid chromatography (HPLC), with the fast chemiluminescence reactions of an acidic potassium permanganate reagent with morphine and a series of adrenergic phenolic amines.
Language eng
DOI 10.1016/j.talanta.2014.03.047
Field of Research 030107 Sensor Technology (Chemical aspects)
Socio Economic Objective 970103 Expanding Knowledge in the Chemical Sciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Grant ID FT100100646
Copyright notice ©2014, Elsevier BV
Persistent URL http://hdl.handle.net/10536/DRO/DU:30069347

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