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Nicholas Birse

The Queen's University Belfast

United Kingdom

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Research Interests

Food Science

100%

Animal Science

40%

Dietary Science

70%

Mass Spectrometry

50%

Food Quality

40%

Spectrometry

40%

Meat Science

40%

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Articles21

Promoting LC-QToF based non-targeted fingerprinting and biomarker selection with machine learning for the discrimination of black tea geographical origin

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Year:

2025

A combined elementomics, metabolomics, and chemometrics approach as tools to identify the geographic origins of black pepper

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Year:

2025

Gaseous exchange-dependent in vitro culture extensively alters plant growth and metabolic landscape revealed by comprehensive metabolomics

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Year:

2025

Investigating the impact of particle size on the volatile and non-volatile metabolite variations of ginger powder

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Year:

2025

Machine learning-guided Orbitrap-HRAMS-based metabolomic fingerprinting for geographical origin, variety and tissue specific authentication, and adulteration detection of turmeric and ashwagandha

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Year:

2025

From automated Raman to cost-effective nanoparticle-on-film (NPoF) SERS spectroscopy: a combined approach for assessing micro- and nanoplastics released into the oral cavity from chewing gum

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Year:

2025

MALDI-ToF MS and chemometric analysis as a tool for identifying wild and farmed salmon

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Year:

2024

Discrimination of beef composition and sensory quality by using rapid Evaporative Ionisation Mass Spectrometry (REIMS)

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Year:

2024

Meat provenance - Advances and opportunities in rapid spectral techniques for authentication of dietary background and geographical origin of meat

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Year:

2024

Towards a harmonized approach for food authenticity marker validation and accreditation

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Year:

2024

Fingerprinting black tea: When spectroscopy meets machine learning a novel workflow for geographical origin identification

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Year:

2024

Food allergen analysis: A review of current gaps and the potential to fill them by matrix-assisted laser desorption/ionization

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Year:

2023

Data fusion and multivariate analysis for food authenticity analysis

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Year:

2023

Rapid metabolic fingerprinting with the aid of chemometric models to identify authenticity of natural medicines: Turmeric, Ocimum, and Withania somnifera study

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Year:

2023

Multivariate versus machine learning-based classification of rapid evaporative ionisation mass spectrometry spectra towards industry based large-scale fish speciation

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Year:

2023

Rapid evaporative ionisation mass spectrometry for food authenticity and beyond – A review of applications over the first decade (2014–2023).

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Year:

2023

Elementomics combined with dd-SIMCA and K-NN to identify the geographical origin of rice samples from China, India, and Vietnam

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Year:

2022

Identification of milk from different animal and plant sources by desorption electrospray ionisation high-resolution mass spectrometry (DESI-MS)

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Year:

2022

Metabolomic profiling to detect different forms of beef fraud using rapid evaporative ionisation mass spectrometry (REIMS)

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Year:

2022

Authentication of organically grown vegetables by the application of ambient mass spectrometry and inductively coupled plasma (ICP) mass spectrometry; The leek case study

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Year:

2021

Ambient mass spectrometry as a tool to determine poultry production system history: A comparison of rapid evaporative ionisation mass spectrometry (REIMS) and direct analysis in real time (DART) ambient mass spectrometry platforms

Article Link

Year:

2020

Collaborators11

Christopher T. Elliott

UNITED KINGDOM

Natasha Logan

The Queen's University Belfast

UNITED KINGDOM

Yicong Li

Queen's University Belfast

UNITED KINGDOM

Stephan Hann

University of Natural Resources and Life Sciences

AUSTRIA

Maria Corradini

Associate Professor

University of Guelph

CANADA

Di Wu

The Queen's University Belfast

UNITED KINGDOM

Stephane Bayen

Associate Professor

McGill University

CANADA

Lynn Vanhaecke

The Queen's University Belfast

UNITED KINGDOM

Kristian Holst Laursen

Associate Professor

University of Copenhagen

DENMARK

Shawninder Chahal

Assistant Professor

University of Ottawa

CANADA

Robert Hanner

CANADA

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