Cargando…
Development of a β-Lactoglobulin Sensor Based on SPR for Milk Allergens Detection
A sensitive and label-free surface plasmon resonance (SPR) based sensor was developed in this work for the detection of milk allergens. β-lactoglobulin (BLG) protein was used as the biomarker for cow milk detection. This is to be used directly in final rinse samples of cleaning in-place (CIP) system...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6023029/ https://www.ncbi.nlm.nih.gov/pubmed/29584662 http://dx.doi.org/10.3390/bios8020032 |
_version_ | 1783335778853584896 |
---|---|
author | Ashley, Jon D’Aurelio, Roberta Piekarska, Monika Temblay, Jeff Pleasants, Mike Trinh, Linda Rodgers, Thomas L. Tothill, Ibtisam E. |
author_facet | Ashley, Jon D’Aurelio, Roberta Piekarska, Monika Temblay, Jeff Pleasants, Mike Trinh, Linda Rodgers, Thomas L. Tothill, Ibtisam E. |
author_sort | Ashley, Jon |
collection | PubMed |
description | A sensitive and label-free surface plasmon resonance (SPR) based sensor was developed in this work for the detection of milk allergens. β-lactoglobulin (BLG) protein was used as the biomarker for cow milk detection. This is to be used directly in final rinse samples of cleaning in-place (CIP) systems of food manufacturers. The affinity assay was optimised and characterised before a standard curve was performed in pure buffer conditions, giving a detection limit of 0.164 µg mL(−1) as a direct binding assay. The detection limit can be further enhanced through the use of a sandwich assay and amplification with nanomaterials. However, this was not required here, as the detection limit achieved exceeded the required allergen detection levels of 2 µg mL(−1) for β-lactoglobulin. The binding affinities of the polyclonal antibody for BLG, expressed by the dissociation constant (K(D)), were equal to 2.59 × 10(−9) M. The developed SPR-based sensor offers several advantages in terms of label-free detection, real-time measurements, potential on-line system and superior sensitivity when compared to ELISA-based techniques. The method is novel for this application and could be applied to wider food allergen risk management decision(s) in food manufacturing. |
format | Online Article Text |
id | pubmed-6023029 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-60230292018-07-02 Development of a β-Lactoglobulin Sensor Based on SPR for Milk Allergens Detection Ashley, Jon D’Aurelio, Roberta Piekarska, Monika Temblay, Jeff Pleasants, Mike Trinh, Linda Rodgers, Thomas L. Tothill, Ibtisam E. Biosensors (Basel) Article A sensitive and label-free surface plasmon resonance (SPR) based sensor was developed in this work for the detection of milk allergens. β-lactoglobulin (BLG) protein was used as the biomarker for cow milk detection. This is to be used directly in final rinse samples of cleaning in-place (CIP) systems of food manufacturers. The affinity assay was optimised and characterised before a standard curve was performed in pure buffer conditions, giving a detection limit of 0.164 µg mL(−1) as a direct binding assay. The detection limit can be further enhanced through the use of a sandwich assay and amplification with nanomaterials. However, this was not required here, as the detection limit achieved exceeded the required allergen detection levels of 2 µg mL(−1) for β-lactoglobulin. The binding affinities of the polyclonal antibody for BLG, expressed by the dissociation constant (K(D)), were equal to 2.59 × 10(−9) M. The developed SPR-based sensor offers several advantages in terms of label-free detection, real-time measurements, potential on-line system and superior sensitivity when compared to ELISA-based techniques. The method is novel for this application and could be applied to wider food allergen risk management decision(s) in food manufacturing. MDPI 2018-03-27 /pmc/articles/PMC6023029/ /pubmed/29584662 http://dx.doi.org/10.3390/bios8020032 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ashley, Jon D’Aurelio, Roberta Piekarska, Monika Temblay, Jeff Pleasants, Mike Trinh, Linda Rodgers, Thomas L. Tothill, Ibtisam E. Development of a β-Lactoglobulin Sensor Based on SPR for Milk Allergens Detection |
title | Development of a β-Lactoglobulin Sensor Based on SPR for Milk Allergens Detection |
title_full | Development of a β-Lactoglobulin Sensor Based on SPR for Milk Allergens Detection |
title_fullStr | Development of a β-Lactoglobulin Sensor Based on SPR for Milk Allergens Detection |
title_full_unstemmed | Development of a β-Lactoglobulin Sensor Based on SPR for Milk Allergens Detection |
title_short | Development of a β-Lactoglobulin Sensor Based on SPR for Milk Allergens Detection |
title_sort | development of a β-lactoglobulin sensor based on spr for milk allergens detection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6023029/ https://www.ncbi.nlm.nih.gov/pubmed/29584662 http://dx.doi.org/10.3390/bios8020032 |
work_keys_str_mv | AT ashleyjon developmentofablactoglobulinsensorbasedonsprformilkallergensdetection AT daurelioroberta developmentofablactoglobulinsensorbasedonsprformilkallergensdetection AT piekarskamonika developmentofablactoglobulinsensorbasedonsprformilkallergensdetection AT temblayjeff developmentofablactoglobulinsensorbasedonsprformilkallergensdetection AT pleasantsmike developmentofablactoglobulinsensorbasedonsprformilkallergensdetection AT trinhlinda developmentofablactoglobulinsensorbasedonsprformilkallergensdetection AT rodgersthomasl developmentofablactoglobulinsensorbasedonsprformilkallergensdetection AT tothillibtisame developmentofablactoglobulinsensorbasedonsprformilkallergensdetection |