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An SPR based sensor for allergens detection

delete2017-02-01
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OA
AI
J
Jon Ashley
M
Monika Piekarska
C
C. Segers
L
Linh Trinh
T
Thomas L. Rodgers
R
Russ Willey
I
Ibtisam E. Tothill *
DOI:10.1016/j.bios.2016.07.101delete
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Abstract

Abstract

En 中文
A simple, sensitive and label-free optical sensor method was developed for allergens analysis using a casein as the biomarker for cow's milk detection, to be used directly in final rinse samples of cleaning in place systems (CIP) of food manufacturers. A Surface Plasmon Resonance (SPR) sensor chip consisting of four sensing arrays enabling the measurement of samples and control binding events simultaneously on the sensor surface was employed in this work. SPR offers several advantages in terms of label free detection, real time measurements and superior sensitivity when compared to ELISA based techniques. The gold sensor chip was used to immobilise a-casein-polyclonal antibody using EDC/NHS coupling procedure. The performance of the assay and the sensor was first optimised and characterised in pure buffer conditions giving a detection limit of 58 ng mL(-1) as a direct binding assay. The assay sensitivity can be further improved by using sandwich assay format and amplified with nanoparticles. However, at this stage this is not required as the detection limit achieved exceeded the required allergens detection levels of 2 mu g mL(-1) for alpha-S1-casein. The sensor demonstrated good selectivity towards the a-casein as the target analyte and adequate recoveries from CIP final rinse wash samples. The sensor would be useful tool for monitoring allergen levels after cleaning procedures, providing additional data that may better inform upon wider food allergen risk management decision(s) that are made by food manufacturer. In particular, this sensor could potentially help validate or optimise cleaning practices for a given food manufacturing process. (C) 2016 Elsevier B.V. All rights reserved.
Keywords:
Surface plasmon resonance
SPR
Milk proteins
Allergens
Cleaning in place systems (CIP)
Antibody
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Biosensors and Bioelectronics cover
Biosensors and Bioelectronics
IF:
10.5
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1.8W
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U
Unilever
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cranfield university
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University of Manchester
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