Recent developments in machine learning for mass spectrometry

AG Beck, M Muhoberac, CE Randolph… - ACS Measurement …, 2024 - ACS Publications
Statistical analysis and modeling of mass spectrometry (MS) data have a long and rich
history with several modern MS-based applications using statistical and chemometric …

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

N Birse, C Elliott - Trends in Food Science & Technology, 2024 - Elsevier
Abstract Background Rapid Evaporative Ionisation Mass Spectrometry (REIMS) has been
used for a wide variety of applications in the food authenticity, food safety and food quality …

Data fusion and multivariate analysis for food authenticity analysis

Y Hong, N Birse, B Quinn, Y Li, W Jia… - Nature …, 2023 - nature.com
A mid-level data fusion coupled with multivariate analysis approach is applied to dual-
platform mass spectrometry data sets using Rapid Evaporative Ionization Mass …

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

N Birse, DT Burns, MJ Walker… - … Reviews in Food …, 2023 - Wiley Online Library
Food allergy remains a public health, business, and regulatory challenge. Risk analysis
(RA) and risk management (RM) of food allergens are of great importance and analysis for …

Applications of ambient ionization mass spectrometry in 2022: An annual review

S Rankin‐Turner, P Sears… - Analytical Science …, 2023 - Wiley Online Library
The development of ambient ionization mass spectrometry (AIMS) has transformed
analytical science, providing the means of performing rapid analysis of samples in their …

New Insights into Phospholipid Profile Alteration of Bigeye Tuna (Thunnus obesus) during Daily Cooking Processes Using Rapid Evaporative Ionization Mass …

G Song, X Guo, Q Li, K Dai, D Wang… - Journal of Agricultural …, 2023 - ACS Publications
Bigeye tuna (BET, Thunnus obesus) is one of the most nutritious and luxurious cosmopolitan
fish. The cooked BET products are capturing the interests of consumers by enhancing flavor …

Emerging perspectives on analytical techniques and machine learning for food metabolomics in the era of industry 4.0: a systematic review

S Taheri, JC Andrade… - Critical Reviews in Food …, 2024 - Taylor & Francis
This review systematically explores the emerging perspectives on analytical techniques and
machine learning applications in food metabolomics, with a focus on their roles in the era of …

A novel machine-learning framework based on a hierarchy of dispute models for the identification of fish species using multi-mode spectroscopy

M Sueker, A Daghighi, A Akhbardeh, N MacKinnon… - Sensors, 2023 - mdpi.com
Seafood mislabeling rates of approximately 20% have been reported globally. Traditional
methods for fish species identification, such as DNA analysis and polymerase chain reaction …

Enhancing Food Authentication Screening Through the Integration of Chemometrics and Ambient Ionization Mass Spectrometry: A Comprehensive Review

R Augusti, ACC Fulgêncio, HM Nogueira… - Trends in Food Science …, 2024 - Elsevier
Background The global issue of food authentication and fraud detection involves
deliberately misrepresenting products for financial gain. Unfortunately, current technologies …

Evaluation of Lipid Oxidation Characteristics in Salmon after Simulation of Cold Chain Interruption Using Rapid Evaporation Ionization Mass Spectrometry

X Yin, H Wang, W Lu, L Ge, Y Cui, Q Zhao… - Journal of Agricultural …, 2024 - ACS Publications
Temperature fluctuations occurring during the cold chain logistics of salmon contribute to
lipid oxidation. This study aimed to simulate cold chain interruption through freeze–thaw …