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Optical Detection of Foodborne Bacterial Pathogens using Nanosensors

Lead Research Organisation: University of Strathclyde
Department Name: Pure and Applied Chemistry

Abstract

This programme of research involves the development of a new tool based on the use of innovative bionanosensors with superior performance for the detection of bacterial pathogens in a sensitive, quantitative and multiplexed manner. This will involve developing nanoparticle based analytical technology for the simultaneous detection of multiple bacterial pathogens associated with food poisoning. Current methods for detecting bacteria are time consuming (1-2 days in the case of bacteria culturing on selective media), expensive and require specialised personnel and equipment. Therefore, there is a strong need for faster, simpler and more reliable isolation and detection of bacterial pathogens that can be carried out in the field and can simultaneously detect multiple bacteria within a single test. Therefore, development of a simple, portable detection platform is proposed which can carry out multiplexed point of care (POC) detection.

Successful pathogen detection is crucial for the health of the general public as the threat of infectious disease is dramatically increasing as a result of bacteria developing resistance to antimicrobial drugs. Major threats to human health from bacterial infections such as E. coli have led to urgent demands to develop highly efficient strategies for isolating and detecting microorganisms in connection with food safety, medical diagnostics, water quality, and counter terrorism. Virulent strains of E. coli can cause gastroenteritis, urinary tract infections, and neonatal meningitis and Salmonella attacks the stomach lining and intestines and in severe cases can result in blood poisoning.

The research involves the use of an optical detection technique called Raman scattering which will be developed for the POC detection of bacterial pathogens. If light of a particular wavelength is directed onto a molecule then some of the scattered light will change wavelength. This change in wavelength is related to the structure of the molecules and provides a molecular fingerprint that can be used for definitive identification. However Raman scattering is an intrinsically weak process and the signal can be greatly enhanced if the molecule is coloured and is adsorbed onto a roughened metal surface (surface enhanced resonance Raman). The metal can be thought of as essentially amplifying the Raman scattering from a molecule on the surface and in this case the metal will take the form of metal nanoparticles. Since a fingerprint unique to the molecule is produced, the composition of mixtures can easily be identified without separation.

A novel diagnostic tool will be developed for the detection of multiple bacterial pathogens, namely Escherichia coli, Salmonella typhimurium and Campylobacter jejunii in a single assay combined with enhanced Raman detection. However, this technology will not be limited to these organisms and can readily be applied to other pathogens. This will involve using magnetic nanoparticles which have a biomolecule on the surface known as a lectin which will bind to the surface of bacterial cells. This will allow isolation and separation of bacteria from the surrounding medium upon application of a magnetic. Additionally, silver nanoparticles which are functionalised with a coloured molecule or label, resulting in intense surface enhanced Raman signals, and a biomolecule which will bind specifically to a particular strain of bacteria (antibody or aptamer) will be added. When the correct bacteria are present binding will occur resulting in magnetic isolation of the bacteria from the matrix as well as it now having a SERS response. By using a different label for each biomarker, a unique spectrum will be achieved for each biomarker allowing multiple biomarkers to be detected simultaneously. A portable Raman spectrometer will then be used to detect the bacteria present.

Technical Summary

Successful pathogen detection is crucial for the health of the general public as the threat of infectious disease is dramatically increasing due to bacteria developing resistance to antimicrobial drugs. Major threats to human health from bacterial infections such as E. coli have led to urgent demands to develop highly efficient strategies for detecting microorganisms. Therefore, there is a strong need for faster, simpler, and more reliable isolation and detection of multiple bacterial pathogens using novel point of care/use (POC) technology. The use of a novel tool is proposed for the multiplexed detection of foodborne bacterial pathogens. The technology is based upon the use of surface enhanced Raman scattering (SERS) due to its high sensitivity and multiplexing capabilities. SERS active silver coated magnetic nanoparticles will be functionalised with lectins which are capable of specifically recognising and binding to carbohydrate constituents on the surface of bacteria. These lectin functionalised magnetic nanoparticles will be used to selectively capture bacteria from the sample matrix. Silver nanoparticles will then be functionalised with a Raman reporter and a biorecognition molecule (antibodies/aptamers) which is specific towards a bacterial strain. A SERS response will only be obtained when the SERS active nanoparticle binds specifically to its bacterial target. The magnetic 'plug' will then be interrogated using Raman spectrometers that are field deployable. In this way the detection strategy will be fully portable and allow for rapid, point of use detection. Once the multiplexed quantitative SERS signal is generated it needs to be analysed such that the unequivocal detection of a pathogen is made and/or the concentration of the bacteria predicted. We shall build on our considerable chemometric expertise where we shall use discriminant analysis approaches for bacterial identification and multivariate regression-based methods for quantification.

Planned Impact

One only needs to open the newspaper and be reminded of the problems within our food. The recent food poisoning outbreaks throughout the world have included, for example, the German E. coli outbreak in 2011 that infected nearly 4000 people and resulted in 53 deaths, and it is well accepted that the incidence of Salmonella (~12k p.a.; www.hpa.org.uk) and Campylobacter (~60K p.a.; www.hpa.org.uk) implicated in food poisoning is under reported in the UK. Therefore there is an on-going and urgent need for the rapid detection and enumeration of bacterial pathogens.

Thus developing rapid, new technology for the multiplexed POC detection of bacterial pathogens in food before they are consumed by the general public will be of huge benefit in terms of preventing illness. This will have implications in terms of economic cost savings due to more information per test being obtained but also on the cost burden on the NHS by reducing the amount of cases of food poisoning outbreaks.

The approach being developed will be a portable, POC platform where bacterial identification can be rapidly carried out in the field. The worldwide need for such rapid, POC diagnostic devices is huge and the outcome of the research will be a world leading position which could lead to company formation and considerable opportunity for wealth generation and employment in the UK. This proof of concept approach can be extended in the future to the detection of other bacterial strains as well as related biomarkers for other conditions. Therefore, this POC platform has the capability for extension into third world detection strategies for example for pathogen detection and disease diagnosis and for security/military applications for chemical, biological threats. Therefore the impact of this research is immense and far reaching.

There are a large number of beneficiaries in both the academic and industrial communities. Any protectable outcome from the research will be covered through IP protection in the form of a patent. Faulds and Goodacre have an extensive network of potential end users that will allow this technology to be evaluated with a view to assessing industrial interest. The main benefit from this research is the generation of a new tool which will contribute to the food security and health sectors and in particular to the sustainability of SERS technology as an emerging detection technique. The PI already has a relationship with Dstl who are already funding several PhD studentships in the area of SERS and they will have great interest in the outcomes from this research. There remains a continuing threat of terrorist/insurgent attack on military/civilian personnel and key strategic infrastructures both within the UK mainland and in operational theatres. To counter these threats reliable, low cost, widely available, screening capability is required that would provide a step change in the current in-service test kits and protocols. A simple procedure to test for numerous threats simultaneously which has an unambiguous result, is affordable and can be widely deployed as an essential tool in advancing our current capability. The technology could be adapted for detection of other analytes of interest to the MoD, e.g. detection of biological species such as proteins or toxins or chemical warfare agents. Therefore this research could have great impact in protecting the general public as well as the military.

The applicants have a strong track record of entrepreneurial activities arising from research and there is an ethos within the research collaboration that fosters this activity through direct mentoring and engagement with industry but also the availability of specific courses run by the Strathclyde Programme in Research and Leadership (SPIRAL) and University of Manchester Intellectual Property (UMIP). In addition, opportunities for further engagement with prospective industrial and academic partners through TIC at the UoS and the MIB at UoM.

Publications

10 25 50
 
Description The summary of the key outcomes of this research and it has been spilt into three distinct sections for clarity:

1. Functionalisation of nanoparticles with biomarker recognition molecules

i. Lectin functionalised magnetic nanoparticle for bacteria capture and isolation

A lectin is carbohydrate binding protein. Concanvalin A (Con A) is a lectin binds specifically to terminal ?-D-mannosyl and ?-D-glucosyl groups present on the surface of all bacteria and as such was chosen as the biomolecule to capture and isolate the 3 bacterial pathogens from the sample mixture. Silver coated magnetic nanoparticles (Ag@MNP) were successfully conjugated to Con A using a large PEGylated linker via carbodiimide cross-linking chemistry to yield Ag@MNP conjugates.

Magnetic separation can be achieved by applying a magnet and thus isolating the sample from the sample matrix, allowing for concentration of the sample and wash steps.

ii. Biorecognition nanoparticles for bacteria identification

Antibodies (Ab) bind specifically to a particular strain of bacteria and as such allow strain specific identification. 3 types of antibodies were purchased; E. Coli, S. Typh and S. Aureus. The antibody-nanoparticle (Ab-NP) conjugates contained the following: silver nanoparticles (AgNP) plus Raman reporter conjugated to Ab using a PEGylated linker. Each of the conjugates had a different Raman reporter so that a unique Raman fingerprint of that conjugate would be provided. The 3 sets of Ab-NP conjugates were successfully synthesised and characterised using the same techniques described above for the Ag@MNP conjugates.

This work showed that nanoparticles with the necessary biorecognition molecules were successfully functionalised and optimised for the three bacteria targets.

2. Fixed Bacterial Imaging

To ensure the conjugates were successfully binding to the bacteria surface, mapping and imaging experiments were conducted. From the dark field images and 2D Raman maps it was evident that the nanoparticle conjugates bound to single bacteria cell. This was confirmed when the single bacteria cells were mapped, because intense SERS signals were obtained from the same locations and where there was no nanoparticles bound there was no Raman signal.

This showed that it was possible to image single bacteria cells with the nanoparticle conjugates bound to the bacteria surface.

3. Solution Assay

Single-plex tests were developed for each of the targets and the sensitivity was established. It was found that for the 3 bacterial strains, the optimum concentration to be used in the assay was 1000 CFU/mL. In terms of the assay's sensitivity we can confidently detect 100 CFU/mL but the lowest discrimination between the sample and control was found to be 10 CFU/mL for all three bacterial strains. We then extended this to multiplex detection. We have successfully developed SERS biosensors for the isolation and detection of duplex and triplex samples where we are able to discriminate between each of the bacterial strains. In the triplex sample we can successfully identify 3 distinct peaks to identify E. Coli, S. Typh and S. Aureus simultaneously in the one sample.

This work showed that SERS biosensors for the isolation and detection of each of the 3 bacterial strains have been developed.
Exploitation Route This work showed that SERS biosensors for the isolation and detection of each of the 3 bacterial strains have been developed.
Sectors Healthcare

 
Description We have had some initial discussions with Bradgate Bakery who are the largest suppliers of sandwiches for Tesco. They are interested in rapid, point of use detection of lysteria in their factories and we are exploring potential further funding options to explore how this technology could be further developed. These discussions have led to an application for a BBSRC Industrial Partnership Award with Bradgate which has recently been funded.
Sector Agriculture, Food and Drink
Impact Types Economic

 
Description Optical Detection of Listeria in the Chilled Food Environment using Bionanosensors
Amount £365,556 (GBP)
Funding ID BB/R00899X/1 
Organisation Biotechnology and Biological Sciences Research Council (BBSRC) 
Sector Public
Country United Kingdom
Start 05/2018 
End 05/2022
 
Title CCDC 1553805: Experimental Crystal Structure Determination 
Description Related Article: Ahmed Al-Yasari, Nick Van Steerteghem, Hayleigh Kearns, Hani El Moll, Karen Faulds, Joseph A. Wright, Bruce S. Brunschwig, Koen Clays, and John Fielden|2017|Inorg.Chem.|56|10181|doi:10.1021/acs.inorgchem.7b00708 
Type Of Material Database/Collection of data 
Year Produced 2017 
Provided To Others? Yes  
URL http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc1p4vrf&sid=DataCite
 
Title CCDC 1553806: Experimental Crystal Structure Determination 
Description Related Article: Ahmed Al-Yasari, Nick Van Steerteghem, Hayleigh Kearns, Hani El Moll, Karen Faulds, Joseph A. Wright, Bruce S. Brunschwig, Koen Clays, and John Fielden|2017|Inorg.Chem.|56|10181|doi:10.1021/acs.inorgchem.7b00708 
Type Of Material Database/Collection of data 
Year Produced 2017 
Provided To Others? Yes  
URL http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc1p4vsg&sid=DataCite
 
Title CCDC 1553807: Experimental Crystal Structure Determination 
Description Related Article: Ahmed Al-Yasari, Nick Van Steerteghem, Hayleigh Kearns, Hani El Moll, Karen Faulds, Joseph A. Wright, Bruce S. Brunschwig, Koen Clays, and John Fielden|2017|Inorg.Chem.|56|10181|doi:10.1021/acs.inorgchem.7b00708 
Type Of Material Database/Collection of data 
Year Produced 2017 
Provided To Others? Yes  
URL http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc1p4vth&sid=DataCite
 
Title CCDC 1553808: Experimental Crystal Structure Determination 
Description Related Article: Ahmed Al-Yasari, Nick Van Steerteghem, Hayleigh Kearns, Hani El Moll, Karen Faulds, Joseph A. Wright, Bruce S. Brunschwig, Koen Clays, and John Fielden|2017|Inorg.Chem.|56|10181|doi:10.1021/acs.inorgchem.7b00708 
Type Of Material Database/Collection of data 
Year Produced 2017 
Provided To Others? Yes  
URL http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc1p4vvj&sid=DataCite
 
Title CCDC 1553809: Experimental Crystal Structure Determination 
Description Related Article: Ahmed Al-Yasari, Nick Van Steerteghem, Hayleigh Kearns, Hani El Moll, Karen Faulds, Joseph A. Wright, Bruce S. Brunschwig, Koen Clays, and John Fielden|2017|Inorg.Chem.|56|10181|doi:10.1021/acs.inorgchem.7b00708 
Type Of Material Database/Collection of data 
Year Produced 2017 
Provided To Others? Yes  
URL http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc1p4vwk&sid=DataCite
 
Title CCDC 1553810: Experimental Crystal Structure Determination 
Description Related Article: Ahmed Al-Yasari, Nick Van Steerteghem, Hayleigh Kearns, Hani El Moll, Karen Faulds, Joseph A. Wright, Bruce S. Brunschwig, Koen Clays, and John Fielden|2017|Inorg.Chem.|56|10181|doi:10.1021/acs.inorgchem.7b00708 
Type Of Material Database/Collection of data 
Year Produced 2017 
Provided To Others? Yes  
URL http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc1p4vxl&sid=DataCite
 
Title Optical Detection of Foodborne Bacterial Pathogens using Nanosensors 
Description "Successful pathogen detection is crucial for public health as the threat of infectious disease is dramatically increasing due to bacteria developing resistance to anti-microbial drugs. Specifically, an increase in bacterial infections from foodborne pathogens such as Escherichia Coli and Salmonella have led to urgent demands for simpler, faster and more reliable detection methods to be developed. Surface enhanced Raman scattering (SERS) is an analytical technique which has gained a great deal of interest for biosensing due to its sensitivity, selectivity and multiplexing capabilities. Our research goal was to develop an innovative SERS biosensor for the simultaneous detection of multiple pathogens associated with food contamination. Specifically, the research involved designing an optimised assay for the isolation and detection of Escherichia Coli, Salmonella Typhimurium and Staphylococcus Aureus simultaneously. SERS biosensors for the isolation and detection of each of the 3 bacterial strains have been developed. In addition, the bacterial strains can be discriminated between in a duplex and triplex assay. The research data has been split into three folders: i) Characterisation of Nanoparticle Conjugates This folder contains all the data associated with the synthesis, functionalisation and characterisation of nanoparticles (NP) conjugated with bio-molecules (antibodies and lectins). The detection techniques used where Extinction spectroscopy, size, zeta and SERS analysis. . The SERS analysis was conducted using a Snowy Range instrument with a 532 nm laser excitation and acquisition times between 0.1 - 3s. ii) Fixed Bacterial Imaging This folder contains all the data associated with the bacterial mapping and imaging experiments. Single bacterial imaging and mapping was conducted to ensure the NP conjugates were binding efficiently to the surface of the bacteria. The dark field images and maps were acquired using a Renishaw Instrument. Specifically for the maps a 633 nm laser excitation and x100 objective was employed but with various laser powers, step sizes and acquisition times. See file names for specific details. iii) Solution Assay This folder contains all the data associated with the solution assay experiments. Initially the SERS assay was performed for each of the bacterial strains individually allowing for single pathogen detection but then additional experiments were conducted to investigate the multiplexing capabilities of this assay. In addition, an E. Coli concentration study and cross reactivity experiments were conducted. The Raman spectra were acquired using a Renishaw Instrument. Specifically a 532 nm laser excitation and x20 objective was focused into a 96 well plate containing 300 µL of the bacteria-NP conjugate solution. An acquisition time of 1s and laser power operating at 100% was employed. Note, various concentrations of bacteria were used in these studies from 10 million -10 CFUs but see folder and/or file names for specific information. Embargo end date 15/01/18 " 
Type Of Material Database/Collection of data 
Year Produced 2016 
Provided To Others? Yes  
Impact Not applicable 
 
Description Bradgate Bakery 
Organisation Samworth Brothers
Department Bradgate Bakery
Country United Kingdom 
Sector Private 
PI Contribution This grant resulted in a collaboration with Bradgate bakery which then resulted in the securing of a BBSRC Industrial Partnership Award (IPA) with Bradgate contributing 10% of the project costs.
Collaborator Contribution Intellectual input into the project and financial contribution of 45k
Impact Allowed subsequent funding through IPA award for listeria detection in the chilled food environment. See grant BB/R00899X/1
Start Year 2017
 
Description SciX 2018 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Industry/Business
Results and Impact SciX 2018
Year(s) Of Engagement Activity 2018
 
Description Spring SciX 2018 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact SERS Detection of Multiple Antimicrobial-Resistant Pathogens Using Nanosensors
Year(s) Of Engagement Activity 2018
URL https://springscix.org/