Dual-signal analysis eliminates requirement for milk sample pretreatment.
(2011) In Biosensors & Bioelectronics 29(1). p.115-118- Abstract
- Detection of analytes in complex biological samples, such as milk and blood, normally requires sample pretreatment. These pretreatment regimes reduce assay throughput and increase testing costs. Technologies that make it possible to eliminate sample pretreatment are of great industrial interest. Here we report the development of a dual-signal flow injected analysis device which eliminates the need for sample pretreatment. The device employs thermal traducers to measure the signal from an enzyme and a reference column. This makes it possible to independently monitor and correct for non-specifically generated heat, thereby eliminating the need for sample pretreatment. The ability of the dual-signal device to determine urea and lactate in... (More)
- Detection of analytes in complex biological samples, such as milk and blood, normally requires sample pretreatment. These pretreatment regimes reduce assay throughput and increase testing costs. Technologies that make it possible to eliminate sample pretreatment are of great industrial interest. Here we report the development of a dual-signal flow injected analysis device which eliminates the need for sample pretreatment. The device employs thermal traducers to measure the signal from an enzyme and a reference column. This makes it possible to independently monitor and correct for non-specifically generated heat, thereby eliminating the need for sample pretreatment. The ability of the dual-signal device to determine urea and lactate in milk samples without any prior treatment was evaluated. The spiked milk samples, the urea assay had a linear range from 0.1 to 50mM (R=0.996), and the lactate assay had a linear range from 0.025 to 5.0mM (R=0.9998). The linear regression values for urea and lactate for 0.5%, 1.5% and 3.0% fat milk were at least 0.990. The dual-signal design improves assay reproducibility, accuracy and sensitivity. Addition benefits are shorter assay times and lowers costs, as well as reducing equipment and training requirements. The potential application of the technology for multi-analyte analysis in point of care and decentralized diagnostic testing in healthcare, agriculture and environmental areas is discussed. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2150643
- author
- Chen, Ying LU ; Andersson, Anneli ; Mecklenburg, Michael ; Xie, Bin LU and Zhou, Yikai
- organization
- publishing date
- 2011
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Biosensors & Bioelectronics
- volume
- 29
- issue
- 1
- pages
- 115 - 118
- publisher
- Elsevier
- external identifiers
-
- wos:000296174700018
- pmid:21871791
- scopus:80053093001
- pmid:21871791
- ISSN
- 1873-4235
- DOI
- 10.1016/j.bios.2011.08.003
- language
- English
- LU publication?
- yes
- id
- e39cec33-6785-4da6-809a-fcdbc3f3df0d (old id 2150643)
- date added to LUP
- 2016-04-01 14:09:18
- date last changed
- 2022-01-27 23:01:23
@article{e39cec33-6785-4da6-809a-fcdbc3f3df0d,
abstract = {{Detection of analytes in complex biological samples, such as milk and blood, normally requires sample pretreatment. These pretreatment regimes reduce assay throughput and increase testing costs. Technologies that make it possible to eliminate sample pretreatment are of great industrial interest. Here we report the development of a dual-signal flow injected analysis device which eliminates the need for sample pretreatment. The device employs thermal traducers to measure the signal from an enzyme and a reference column. This makes it possible to independently monitor and correct for non-specifically generated heat, thereby eliminating the need for sample pretreatment. The ability of the dual-signal device to determine urea and lactate in milk samples without any prior treatment was evaluated. The spiked milk samples, the urea assay had a linear range from 0.1 to 50mM (R=0.996), and the lactate assay had a linear range from 0.025 to 5.0mM (R=0.9998). The linear regression values for urea and lactate for 0.5%, 1.5% and 3.0% fat milk were at least 0.990. The dual-signal design improves assay reproducibility, accuracy and sensitivity. Addition benefits are shorter assay times and lowers costs, as well as reducing equipment and training requirements. The potential application of the technology for multi-analyte analysis in point of care and decentralized diagnostic testing in healthcare, agriculture and environmental areas is discussed.}},
author = {{Chen, Ying and Andersson, Anneli and Mecklenburg, Michael and Xie, Bin and Zhou, Yikai}},
issn = {{1873-4235}},
language = {{eng}},
number = {{1}},
pages = {{115--118}},
publisher = {{Elsevier}},
series = {{Biosensors & Bioelectronics}},
title = {{Dual-signal analysis eliminates requirement for milk sample pretreatment.}},
url = {{http://dx.doi.org/10.1016/j.bios.2011.08.003}},
doi = {{10.1016/j.bios.2011.08.003}},
volume = {{29}},
year = {{2011}},
}