Identifying Hypocalcemia in Dairy Cattle by Combining 3D Printing and Paper Diagnostics

This paper describes the design, fabrication, and validation of a paper-based diagnostic device for the rapid diagnosis of hypocalcemia in dairy cattle at the point-of-care (POC). The device incorporates a 3D printed calcium ion-selective membrane (ISM) as the sensing element for free—unbound—calciu...

Full description

Bibliographic Details
Main Authors: Art Matthew Mamaril, Dalton L. Glasco, Francisco A. Leal Yepes, Jeffrey G. Bell
Format: Article
Language:English
Published: IOP Publishing 2022-01-01
Series:ECS Sensors Plus
Online Access:https://doi.org/10.1149/2754-2726/aca034
_version_ 1797670974265491456
author Art Matthew Mamaril
Dalton L. Glasco
Francisco A. Leal Yepes
Jeffrey G. Bell
author_facet Art Matthew Mamaril
Dalton L. Glasco
Francisco A. Leal Yepes
Jeffrey G. Bell
author_sort Art Matthew Mamaril
collection DOAJ
description This paper describes the design, fabrication, and validation of a paper-based diagnostic device for the rapid diagnosis of hypocalcemia in dairy cattle at the point-of-care (POC). The device incorporates a 3D printed calcium ion-selective membrane (ISM) as the sensing element for free—unbound—calcium in real bovine whole blood samples. With a linear response range of 100 mM to 97.7 μ M, the sensor covers the clinically relevant concentrations of Ca ^2+ associated with both healthy cattle as well as those suffering from hypocalcemia. The components of the Ca ^2+ ion-selective electrodes were successfully translated to a paper-based device to provide a sensing platform that is simple to use, disposable, and low-cost, and is therefore well-situated for applications at the POC. The paper-based calcium sensor showed a Nernstian response between 10 mM and 100 μ M and required only 12 μ l of sample to perform a measurement, which can be accomplished in less than two minutes without the need for time-consuming separation steps. The performance of the paper-based Ca ^2+ sensor was validated using the commercially available epoc ^® Blood Analysis System, which provided results within 5% of the data obtained with 3D printed Ca ^2+ -ISM integrated paper-based device.
first_indexed 2024-03-11T21:08:36Z
format Article
id doaj.art-2fbc311dbfad4cf9b62f4c0721779906
institution Directory Open Access Journal
issn 2754-2726
language English
last_indexed 2024-03-11T21:08:36Z
publishDate 2022-01-01
publisher IOP Publishing
record_format Article
series ECS Sensors Plus
spelling doaj.art-2fbc311dbfad4cf9b62f4c07217799062023-09-29T08:25:40ZengIOP PublishingECS Sensors Plus2754-27262022-01-011404060110.1149/2754-2726/aca034Identifying Hypocalcemia in Dairy Cattle by Combining 3D Printing and Paper DiagnosticsArt Matthew Mamaril0Dalton L. Glasco1Francisco A. Leal Yepes2https://orcid.org/0000-0002-7531-5133Jeffrey G. Bell3https://orcid.org/0000-0003-3470-1043Department of Chemistry, Washington State University , Pullman, Washington 99163, United States of AmericaDepartment of Chemistry, Washington State University , Pullman, Washington 99163, United States of AmericaDepartment of Veterinary Clinical Sciences, Washington State University , Pullman, Washington 99163, United States of AmericaDepartment of Chemistry, Washington State University , Pullman, Washington 99163, United States of AmericaThis paper describes the design, fabrication, and validation of a paper-based diagnostic device for the rapid diagnosis of hypocalcemia in dairy cattle at the point-of-care (POC). The device incorporates a 3D printed calcium ion-selective membrane (ISM) as the sensing element for free—unbound—calcium in real bovine whole blood samples. With a linear response range of 100 mM to 97.7 μ M, the sensor covers the clinically relevant concentrations of Ca ^2+ associated with both healthy cattle as well as those suffering from hypocalcemia. The components of the Ca ^2+ ion-selective electrodes were successfully translated to a paper-based device to provide a sensing platform that is simple to use, disposable, and low-cost, and is therefore well-situated for applications at the POC. The paper-based calcium sensor showed a Nernstian response between 10 mM and 100 μ M and required only 12 μ l of sample to perform a measurement, which can be accomplished in less than two minutes without the need for time-consuming separation steps. The performance of the paper-based Ca ^2+ sensor was validated using the commercially available epoc ^® Blood Analysis System, which provided results within 5% of the data obtained with 3D printed Ca ^2+ -ISM integrated paper-based device.https://doi.org/10.1149/2754-2726/aca034
spellingShingle Art Matthew Mamaril
Dalton L. Glasco
Francisco A. Leal Yepes
Jeffrey G. Bell
Identifying Hypocalcemia in Dairy Cattle by Combining 3D Printing and Paper Diagnostics
ECS Sensors Plus
title Identifying Hypocalcemia in Dairy Cattle by Combining 3D Printing and Paper Diagnostics
title_full Identifying Hypocalcemia in Dairy Cattle by Combining 3D Printing and Paper Diagnostics
title_fullStr Identifying Hypocalcemia in Dairy Cattle by Combining 3D Printing and Paper Diagnostics
title_full_unstemmed Identifying Hypocalcemia in Dairy Cattle by Combining 3D Printing and Paper Diagnostics
title_short Identifying Hypocalcemia in Dairy Cattle by Combining 3D Printing and Paper Diagnostics
title_sort identifying hypocalcemia in dairy cattle by combining 3d printing and paper diagnostics
url https://doi.org/10.1149/2754-2726/aca034
work_keys_str_mv AT artmatthewmamaril identifyinghypocalcemiaindairycattlebycombining3dprintingandpaperdiagnostics
AT daltonlglasco identifyinghypocalcemiaindairycattlebycombining3dprintingandpaperdiagnostics
AT franciscoalealyepes identifyinghypocalcemiaindairycattlebycombining3dprintingandpaperdiagnostics
AT jeffreygbell identifyinghypocalcemiaindairycattlebycombining3dprintingandpaperdiagnostics