Literature DB >> 27503408

An SPR based sensor for allergens detection.

J Ashley1, M Piekarska1, C Segers1, L Trinh2, T Rodgers2, R Willey3, I E Tothill4.   

Abstract

A simple, sensitive and label-free optical sensor method was developed for allergens analysis using α-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 α-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 58ngmL-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 2µgmL-1 for α-S1-casein. The sensor demonstrated good selectivity towards the α-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.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Allergens; Antibody; Cleaning in place systems (CIP); Milk proteins; SPR; Surface plasmon resonance

Mesh:

Substances:

Year:  2016        PMID: 27503408     DOI: 10.1016/j.bios.2016.07.101

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  7 in total

1.  Graphene Oxide-Sensitized Surface Plasmon Resonance Biosensor of Porcine Reproductive and Respiratory Syndrome Virus.

Authors:  Xuemei Liu; Chao Xu; Chunyu Fu; Dongfang Xia; Fuchao Wang; Hongzong Yin; Jun Peng
Journal:  Molecules       Date:  2022-06-20       Impact factor: 4.927

Review 2.  Review of New Trends in the Analysis of Allergenic Residues in Foods and Cosmetic Products.

Authors:  Tomasz Tuzimski; Anna Petruczynik
Journal:  J AOAC Int       Date:  2020-07-01       Impact factor: 1.913

3.  Urea and creatinine detection on nano-laminated gold thin film using Kretschmann-based surface plasmon resonance biosensor.

Authors:  P Susthitha Menon; Fairus Atida Said; Gan Siew Mei; Dilla Duryha Berhanuddin; Akrajas Ali Umar; Sahbudin Shaari; Burhanuddin Yeop Majlis
Journal:  PLoS One       Date:  2018-07-27       Impact factor: 3.240

4.  An Electrochemical Sensor Based on Gold-Nanocluster-Modified Graphene Screen-Printed Electrodes for the Detection of β-Lactoglobulin in Milk.

Authors:  Jingyi Hong; Yuxian Wang; Liying Zhu; Ling Jiang
Journal:  Sensors (Basel)       Date:  2020-07-16       Impact factor: 3.576

Review 5.  Biosensing Based on Nanoparticles for Food Allergens Detection.

Authors:  Lidia Nazaret Gómez-Arribas; Elena Benito-Peña; María Del Carmen Hurtado-Sánchez; María Cruz Moreno-Bondi
Journal:  Sensors (Basel)       Date:  2018-04-04       Impact factor: 3.576

6.  Development of a β-Lactoglobulin Sensor Based on SPR for Milk Allergens Detection.

Authors:  Jon Ashley; Roberta D'Aurelio; Monika Piekarska; Jeff Temblay; Mike Pleasants; Linda Trinh; Thomas L Rodgers; Ibtisam E Tothill
Journal:  Biosensors (Basel)       Date:  2018-03-27

Review 7.  Nano-Biosensing Platforms for Detection of Cow's Milk Allergens: An Overview.

Authors:  Monika Nehra; Mariagrazia Lettieri; Neeraj Dilbaghi; Sandeep Kumar; Giovanna Marrazza
Journal:  Sensors (Basel)       Date:  2019-12-19       Impact factor: 3.576

  7 in total

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