ROBERTA D'AURELIO

Dr. ROBERTA D'AURELIO

orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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26 January 2018 in ACS Sensors
Verified
Journal Article
Closed access
JAJon Ashley
Jon Ashley
YSYunus Shukor
Yunus Shukor
RDROBERTA D'AURELIO
ROBERTA D'AURELIO
LTLinda Trinh
Linda Trinh
TRThomas L. Rodgers
Thomas L. Rodgers
Ibtisam E TothillIbtisam E Tothill
Ibtisam E Tothill

27 March 2018 in Biosensors
Verified
Journal Article
Open access
PDF file
JAJon Ashley
Jon Ashley
RDROBERTA D'AURELIO
ROBERTA D'AURELIO
MPMonika Piekarska
Monika Piekarska
JTJeff Temblay
Jeff Temblay
MPMike Pleasants
Mike Pleasants
Ibtisam E TothillIbtisam E Tothill
Ibtisam E Tothill
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 (KD), 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.

4 March 2020 in Biosensors
Verified
Journal Article
Open access
PDF file
RDROBERTA D'AURELIO
ROBERTA D'AURELIO
Iva ChianellaIva Chianella
Iva Chianella
JGJack A. Goode
Jack A. Goode
Ibtisam E TothillIbtisam E Tothill
Ibtisam E Tothill
The development of a sensor based on molecularly imprinted polymer nanoparticles (nanoMIPs) and electrochemical impedance spectroscopy (EIS) for the detection of trace levels of cocaine is described in this paper. NanoMIPs for cocaine detection, synthesized using a solid phase, were applied as the sensing element. The nanoMIPs were first characterized by Transmission Electron Microscopy (TEM) and Dynamic Light Scattering and found to be ~148.35 ± 24.69 nm in size, using TEM. The nanoMIPs were then covalently attached to gold screen-printed electrodes and a cocaine direct binding assay was developed and optimized, using EIS as the sensing principle. EIS was recorded at a potential of 0.12 V over the frequency range from 0.1 Hz to 50 kHz, with a modulation voltage of 10 mV. The nanoMIPs sensor was able to detect cocaine in a linear range between 100 pg mL−1 and 50 ng mL−1 (R2 = 0.984; p-value = 0.00001) and with a limit of detection of 0.24 ng mL−1 (0.70 nM). The sensor showed no cross-reactivity toward morphine and a negligible response toward levamisole after optimizing the sensor surface blocking and assay conditions. The developed sensor has the potential to offer a highly sensitive, portable and cost-effective method for cocaine detection.

1 October 2016 in Food Control
Verified
Journal Article
Closed access
LILuigi Iannetti
Luigi Iannetti
VAVicdalia Aniela Acciari
Vicdalia Aniela Acciari
SASalvatore Antoci
Salvatore Antoci
NANicoletta Addante
Nicoletta Addante
LBLia Bardasi
Lia Bardasi
GMGiacomo Migliorati
Giacomo Migliorati

1 March 2018 in Food Control
Verified
Journal Article
Closed access
GSGino Angelo Santarelli
Gino Angelo Santarelli
GMGiacomo Migliorati
Giacomo Migliorati
FPFrancesco Pomilio
Francesco Pomilio
CMCristina Marfoglia
Cristina Marfoglia
PCPatrizia Centorame
Patrizia Centorame
LILuigi Iannetti
Luigi Iannetti

1 October 2020 in Chemosensors
Verified
Journal Article
Open access
PDF file
RDROBERTA D'AURELIO
ROBERTA D'AURELIO
JAJon Ashley
Jon Ashley
TRThomas L. Rodgers
Thomas L. Rodgers
LTLinda Trinh
Linda Trinh
JTJeff Temblay
Jeff Temblay
Ibtisam E TothillIbtisam E Tothill
Ibtisam E Tothill
Food manufacturers are aiming to manage the levels of cross-contamination of allergens within food processing plants and ultimately move away from precautionary labelling. Hence, the need for rapid methods to detect allergens cross-contamination. A sensitive and selective label-free nanoMIPs based sensor was developed and tested for the detection of β-lactoglobulin (BLG). NanoMIPs were synthesized using solid-phase synthesis and appeared as spherical nanoparticles with sizes ranging from 264–294 nm, using dynamic light scattering (DLS). The nanoMIPs were functionalized with amine groups and attached to the surface of the SPR gold chip via amine-coupling protocol. The SPR nanoMIPs-based sensor demonstrated a detection limit of 3 ng mL−1 (211 pM) over a linear range of 1–5000 ng mL−1, with binding affinity of 7.0 × 10−8 M and specificity towards BLG. With further testing and final optimization, the developed nanosensor can be integrated on-line or at-line cleaning-in-place (CIP) wash systems, allowing to effectively monitor milk protein allergens as a rapid, point-of-source methodology.