ArticleScientific reports2021
Speciation and milk adulteration analysis by rapid ambient liquid MALDI mass spectrometry profiling using machine learning.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed, 48 citations in OpenAlex.
- Cost-Effective Voltammetric Determination of Salicylic Acid in Milk Using Copper Wire Electrodes.ACS omega · 2025Article
- Assessing Milk Authenticity Using Protein and Peptide Biomarkers: A Decade of Progress in Species Differentiation and Fraud Detection.Foods (Basel, Switzerland) · 2025Review
- Innovations in Proteomic Technologies and Artificial Neural Networks: Unlocking Milk Origin Identification.Biotech (Basel (Switzerland)) · 2025Article
- The Use of Explainable Machine Learning for the Prediction of the Quality of Bulk-Tank Milk in Sheep and Goat Farms.Foods (Basel, Switzerland) · 2024Article
- Detection of Antimicrobial Proteins/Peptides and Bacterial Proteins Involved in Antimicrobial Resistance in Raw Cow's Milk from Different Breeds.Antibiotics (Basel, Switzerland) · 2024Article
- Photonic Dipstick Immunosensor to Detect Adulteration of Ewe, Goat, and Donkey Milk with Cow Milk through Bovine κ-Casein Detection.Sensors (Basel, Switzerland) · 2024Article
- A Dual and Rapid RPA-CRISPR/Cas12a Method for Simultaneous Detection of Cattle and Soybean-Derived Adulteration in Goat Milk Powder.Foods (Basel, Switzerland) · 2024Article
- Recent Advances in the Detection of Food Toxins Using Mass Spectrometry.Chemical research in toxicology · 2023Review
- Mediterranean Plants with Antimicrobial Activity againstMicroorganisms · 2023Article
- A Rapid RPA-CRISPR/Cas12a Detection Method for Adulteration of Goat Milk Powder.Foods (Basel, Switzerland) · 2023Article
- Non-targeted detection of food adulteration using an ensemble machine-learning model.Scientific reports · 2022Article
- Applications of MALDI-MS/MS-Based Proteomics in Biomedical Research.Molecules (Basel, Switzerland) · 2022Review
- Separation and characterization of bovine milk proteins by capillary electrophoresis-mass spectrometry.Journal of separation science · 2022Article
- Ultrahigh-Throughput Sample Analysis Using Liquid Atmospheric Pressure Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry.Analytical chemistry · 2022Article
- Identification of milk from different animal and plant sources by desorption electrospray ionisation high-resolution mass spectrometry (DESI-MS).NPJ science of food · 2022Article
- LAP-MALDI MS coupled with machine learning: an ambient mass spectrometry approach for high-throughput diagnostics.Chemical science · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
Abstract
Growing interest in food quality and traceability by regulators as well as consumers demands advances in more rapid, versatile and cost-effective analytical methods. Milk, as most food matrices, is a heterogeneous mixture composed of metabolites, lipids and proteins. One of the major challenges is to have simultaneous, quantitative detection (profiling) of this panel of biomolecules to gather valuable information for assessing food quality, traceability and safety. Here, for milk analysis, atmospheric pressure matrix-assisted laser desorption/ionization employing homogenous liquid sample droplets was used on a Q-TOF mass analyzer. This method has the capability to produce multiply charged proteinaceous ions as well as highly informative profiles of singly charged lipids/metabolites. In two examples, this method is coupled with user-friendly machine-learning software. First, rapid speciation of milk (cow, goat, sheep and camel) is demonstrated with 100% classification accuracy. Second, the detection of cow milk as adulterant in goat milk is shown at concentrations as low as 5% with 92.5% sensitivity and 94.5% specificity.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.