The University of Southampton
University of Southampton Institutional Repository

5-axis CNC micro-milling for rapid, cheap and background free NMR micro-coils

5-axis CNC micro-milling for rapid, cheap and background free NMR micro-coils
5-axis CNC micro-milling for rapid, cheap and background free NMR micro-coils
The superior mass sensitivity of microcoil technology in nuclear magnetic resonance (NMR) spectroscopy provides potential for the analysis of extremely small-mass-limited samples such as eggs, cells, and tiny organisms. For optimal performance and efficiency, the size of the microcoil should be tailored to the size of the mass-limited sample of interest, which can be costly as mass-limited samples come in many shapes and sizes. Therefore, rapid and economic microcoil production methods are needed. One method with great potential is 5-axis computer numerical control (CNC) micromilling, commonly used in the jewelry industry. Most CNC milling machines are designed to process larger objects and commonly have a precision of >25 μm (making the machining of common spiral microcoils, for example, impossible). Here, a 5-axis MiRA6 CNC milling machine, specifically designed for the jewelry industry, with a 0.3 μm precision was used to produce working planar microcoils, microstrips, and novel microsensor designs, with some tested on the NMR in less than 24 h after the start of the design process. Sample wells could be built into the microsensor and could be machined at the same time as the sensors themselves, in some cases leaving a sheet of Teflon as thin as 10 μm between the sample and the sensor. This provides the freedom to produce a wide array of designs and demonstrates 5-axis CNC micromilling as a versatile tool for the rapid prototyping of NMR microsensors. This approach allowed the experimental optimization of a prototype microstrip for the analysis of two intact adult Daphnia magna organisms. In addition, a 3D volume slotted-tube resonator was produced that allowed for 2D 1H–13C NMR of D. magna neonates and exhibited 1H sensitivity (nLODω600 = 1.49 nmol s1/2) close to that of double strip lines, which themselves offer the best compromise between concentration and mass sensitivity published to date.
0003-2700
Moxley-Paquette, Vincent
7c8b185d-8477-4712-ba05-27b2e90b7e3d
Lane, Daniel
30d078b7-3b12-4984-b6d2-263674d75a12
Soong, Ronald
7b9f757a-1648-4958-82bd-71a2c742cc52
Ning, Paris
82596dce-d4e0-44db-b6fa-c070ad39d06a
Bastawrous, Monica
9b8bd35f-0fdd-4070-97b8-1c2b12ad9e7e
Wu, Bing
68da5cb1-6a5f-46f9-8173-12d702625220
Pedram, Maysam Zamani
64a97427-f465-421d-9149-09a1f401d3bb
Talukder, Md Aminul Haque
a7dbf3d1-945b-48b4-afdb-94bb6e5eebfd
Ghafar-Zadeh, Ebrahim
c4f9c41a-afe5-4ac6-9660-7e61f990148c
Zverev, Dimitri
31c3d6e1-7374-476e-8a2d-d14d93ce9aff
Martin, Richard
ad26d2fe-a3a4-4465-b225-6e897b2c4bd5
Macpherson, Bob
fb89e5d7-13eb-4943-af8b-da32b24623f0
Vargas, Mike
b9e28b25-81ca-490b-b576-121b4b0fdd35
Schmidig, Daniel
3c824c67-82a6-4bc3-b710-03ce456a985d
Graf, Stefan
58366648-51aa-4288-916e-3d86070fcf6f
Frei, Thomas
b6f25eb6-9f90-4a82-9225-93f2c18fb2cd
Al Adwan-Stojilkovic, Danijela
2934f1ee-deb3-4b1f-ae85-e8260d1bd174
De Castro, Peter
3c410566-725f-4431-8ef2-7432e8707528
Busse, Falko
cd45a4b8-ec70-4dac-913e-4782a7196c99
Bermel, Wolfgang
8ad6737d-0084-400a-a451-3c6bd19ff9d5
Kuehn, Till
80bcb6da-c304-4445-a8e6-45f6e2c09fdb
Kuemmerle, Rainer
57f31729-dbe4-457a-8277-c1ddb42b324a
Fey, Michael
903cf344-dce6-404d-a816-480fff049eb4
Decker, Frank
d53ff513-eec5-47b3-ae06-fac434e96c1d
Stronks, Henry
c82e1c84-3065-4b1c-865c-a7fc8b505498
Sullan, Ruby May A.
ce015161-e81c-48f2-95c6-0f7b888d8ba5
Utz, Marcel
c84ed64c-9e89-4051-af39-d401e423891b
Simpson, André J.
3cefdb3f-65cd-4b31-9b06-05417e83b93e
Moxley-Paquette, Vincent
7c8b185d-8477-4712-ba05-27b2e90b7e3d
Lane, Daniel
30d078b7-3b12-4984-b6d2-263674d75a12
Soong, Ronald
7b9f757a-1648-4958-82bd-71a2c742cc52
Ning, Paris
82596dce-d4e0-44db-b6fa-c070ad39d06a
Bastawrous, Monica
9b8bd35f-0fdd-4070-97b8-1c2b12ad9e7e
Wu, Bing
68da5cb1-6a5f-46f9-8173-12d702625220
Pedram, Maysam Zamani
64a97427-f465-421d-9149-09a1f401d3bb
Talukder, Md Aminul Haque
a7dbf3d1-945b-48b4-afdb-94bb6e5eebfd
Ghafar-Zadeh, Ebrahim
c4f9c41a-afe5-4ac6-9660-7e61f990148c
Zverev, Dimitri
31c3d6e1-7374-476e-8a2d-d14d93ce9aff
Martin, Richard
ad26d2fe-a3a4-4465-b225-6e897b2c4bd5
Macpherson, Bob
fb89e5d7-13eb-4943-af8b-da32b24623f0
Vargas, Mike
b9e28b25-81ca-490b-b576-121b4b0fdd35
Schmidig, Daniel
3c824c67-82a6-4bc3-b710-03ce456a985d
Graf, Stefan
58366648-51aa-4288-916e-3d86070fcf6f
Frei, Thomas
b6f25eb6-9f90-4a82-9225-93f2c18fb2cd
Al Adwan-Stojilkovic, Danijela
2934f1ee-deb3-4b1f-ae85-e8260d1bd174
De Castro, Peter
3c410566-725f-4431-8ef2-7432e8707528
Busse, Falko
cd45a4b8-ec70-4dac-913e-4782a7196c99
Bermel, Wolfgang
8ad6737d-0084-400a-a451-3c6bd19ff9d5
Kuehn, Till
80bcb6da-c304-4445-a8e6-45f6e2c09fdb
Kuemmerle, Rainer
57f31729-dbe4-457a-8277-c1ddb42b324a
Fey, Michael
903cf344-dce6-404d-a816-480fff049eb4
Decker, Frank
d53ff513-eec5-47b3-ae06-fac434e96c1d
Stronks, Henry
c82e1c84-3065-4b1c-865c-a7fc8b505498
Sullan, Ruby May A.
ce015161-e81c-48f2-95c6-0f7b888d8ba5
Utz, Marcel
c84ed64c-9e89-4051-af39-d401e423891b
Simpson, André J.
3cefdb3f-65cd-4b31-9b06-05417e83b93e

Moxley-Paquette, Vincent, Lane, Daniel, Soong, Ronald, Ning, Paris, Bastawrous, Monica, Wu, Bing, Pedram, Maysam Zamani, Talukder, Md Aminul Haque, Ghafar-Zadeh, Ebrahim, Zverev, Dimitri, Martin, Richard, Macpherson, Bob, Vargas, Mike, Schmidig, Daniel, Graf, Stefan, Frei, Thomas, Al Adwan-Stojilkovic, Danijela, De Castro, Peter, Busse, Falko, Bermel, Wolfgang, Kuehn, Till, Kuemmerle, Rainer, Fey, Michael, Decker, Frank, Stronks, Henry, Sullan, Ruby May A., Utz, Marcel and Simpson, André J. (2020) 5-axis CNC micro-milling for rapid, cheap and background free NMR micro-coils. Analytical Chemistry. (doi:10.1021/acs.analchem.0c03126).

Record type: Article

Abstract

The superior mass sensitivity of microcoil technology in nuclear magnetic resonance (NMR) spectroscopy provides potential for the analysis of extremely small-mass-limited samples such as eggs, cells, and tiny organisms. For optimal performance and efficiency, the size of the microcoil should be tailored to the size of the mass-limited sample of interest, which can be costly as mass-limited samples come in many shapes and sizes. Therefore, rapid and economic microcoil production methods are needed. One method with great potential is 5-axis computer numerical control (CNC) micromilling, commonly used in the jewelry industry. Most CNC milling machines are designed to process larger objects and commonly have a precision of >25 μm (making the machining of common spiral microcoils, for example, impossible). Here, a 5-axis MiRA6 CNC milling machine, specifically designed for the jewelry industry, with a 0.3 μm precision was used to produce working planar microcoils, microstrips, and novel microsensor designs, with some tested on the NMR in less than 24 h after the start of the design process. Sample wells could be built into the microsensor and could be machined at the same time as the sensors themselves, in some cases leaving a sheet of Teflon as thin as 10 μm between the sample and the sensor. This provides the freedom to produce a wide array of designs and demonstrates 5-axis CNC micromilling as a versatile tool for the rapid prototyping of NMR microsensors. This approach allowed the experimental optimization of a prototype microstrip for the analysis of two intact adult Daphnia magna organisms. In addition, a 3D volume slotted-tube resonator was produced that allowed for 2D 1H–13C NMR of D. magna neonates and exhibited 1H sensitivity (nLODω600 = 1.49 nmol s1/2) close to that of double strip lines, which themselves offer the best compromise between concentration and mass sensitivity published to date.

Text
Final Paper - Accepted Manuscript
Download (957kB)

More information

Accepted/In Press date: 29 October 2020
e-pub ahead of print date: 10 November 2020
Additional Information: Funding Information: Authors would like to thank the Natural Sciences and Engineering Research Council of Canada (NSERC) (Strategic (STPGP 494273-16), Discovery (RGPIN-2019-04165), and Alliance (ALLRP 549399) programs), the Canada Foundation for Innovation (CFI), the Ontario Ministry of Research and Innovation (MRI), and the Krembil Foundation for providing funding. A.J.S. would like to thank the Government of Ontario for an Early Researcher Award. The authors also thank C. J. Reddy, R. B. Little, and S. H. Arif from Altair for technical assistance and support. Publisher Copyright: © 2020 American Chemical Society.

Identifiers

Local EPrints ID: 445183
URI: http://eprints.soton.ac.uk/id/eprint/445183
ISSN: 0003-2700
PURE UUID: b5990fb6-b805-4900-a069-78d2ec93f2e8
ORCID for Marcel Utz: ORCID iD orcid.org/0000-0003-2274-9672

Catalogue record

Date deposited: 24 Nov 2020 17:34
Last modified: 17 Mar 2024 06:05

Export record

Altmetrics

Contributors

Author: Vincent Moxley-Paquette
Author: Daniel Lane
Author: Ronald Soong
Author: Paris Ning
Author: Monica Bastawrous
Author: Bing Wu
Author: Maysam Zamani Pedram
Author: Md Aminul Haque Talukder
Author: Ebrahim Ghafar-Zadeh
Author: Dimitri Zverev
Author: Richard Martin
Author: Bob Macpherson
Author: Mike Vargas
Author: Daniel Schmidig
Author: Stefan Graf
Author: Thomas Frei
Author: Danijela Al Adwan-Stojilkovic
Author: Peter De Castro
Author: Falko Busse
Author: Wolfgang Bermel
Author: Till Kuehn
Author: Rainer Kuemmerle
Author: Michael Fey
Author: Frank Decker
Author: Henry Stronks
Author: Ruby May A. Sullan
Author: Marcel Utz ORCID iD
Author: André J. Simpson

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×