ArticleFood control2019
Quantitative TLC-SERS detection of histamine in seafood with support vector machine analysis.
Article in Food control, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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
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Who cites it
24 citing papers in PubMed, 105 citations in OpenAlex.
- Current Analytical Methods and Recent Advances in Histamine Analysis in Fish and Fish Products: A Systematic Review.Foods (Basel, Switzerland) · 2026Review
- Spectrofluorimetric Method for Sensitive Histamine Detection Using Europium Complexation.ACS omega · 2026Article
- Artificial intelligence in food safety.NPJ science of food · 2026Review
- Advances in the Application of Surface-Enhanced Raman Spectroscopy for Quality Control of Cereal Foods.Foods (Basel, Switzerland) · 2025Review
- Quantitative Detection of Pyrene in Edible Oil via Plasmonic TLC-SERS Combined with Machine Learning Analysis.Biosensors · 2025Article
- Coupling of chromatography with surface-enhanced Raman spectroscopy: trends and prospects.Frontiers in chemistry · 2025Review
- Research progress of chilled meat freshness detection based on nanozyme sensing systems.Food chemistry: X · 2024Review
- Flexible 3D Plasmonic Web Enables Remote Surface Enhanced Raman Spectroscopy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- A fresh-cut papaya freshness prediction model based on partial least squares regression and support vector machine regression.Heliyon · 2024Article
- Advancing Mycotoxin Detection: Multivariate Rapid Analysis on Corn Using Surface Enhanced Raman Spectroscopy (SERS).Toxins · 2023Article
- Unraveling surface-enhanced Raman spectroscopy results through chemometrics and machine learning: principles, progress, and trends.Analytical and bioanalytical chemistry · 2023Review
- Recent Trends in SERS-Based Plasmonic Sensors for Disease Diagnostics, Biomolecules Detection, and Machine Learning Techniques.Biosensors · 2023Review
- Review of Thin-Layer Chromatography Tandem with Surface-Enhanced Raman Spectroscopy for Detection of Analytes in Mixture Samples.Biosensors · 2022Review
- Rapid Limit Test of Seven Pesticide Residues in Tea Based on the Combination of TLC and Raman Imaging Microscopy.Molecules (Basel, Switzerland) · 2022Article
- Rapid Detection of Five Estrogens Added Illegally to Dietary Supplements by Combining TLC with Raman Imaging Microscope.Molecules (Basel, Switzerland) · 2022Article
- Multiplex Sensing of Complex Mixtures by Machine Vision Analysis of TLC-SERS Images.Sensors and actuators. B, Chemical · 2022Article
- Recent Progress of Fluorescence Sensors for Histamine in Foods.Biosensors · 2022Review
- Sub-Part-Per-Billion Level Sensing of Fentanyl Residues from Wastewater Using Portable Surface-Enhanced Raman Scattering Sensing.Biosensors · 2021Article
- Machine Learning Enhances the Performance of Bioreceptor-Free Biosensors.Sensors (Basel, Switzerland) · 2021Review
- Influence of Sample Matrix on Determination of Histamine in Fish by Surface Enhanced Raman Spectroscopy Coupled with Chemometric Modelling.Foods (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 2 countries.
Funding
Abstract
Scombroid fish poisoning caused by histamine intoxication is one of the most prevalent allergies associated with seafood consumption in the United States. Typical symptoms range from mild itching up to fatal cardiovascular collapse seen in anaphylaxis. In this paper, we demonstrate rapid, sensitive, and quantitative detection of histamine in both artificially spoiled tuna solution and real spoiled tuna samples using thin layer chromatography in tandem with surface-enhanced Raman scattering (TLC-SERS) sensing methods, enabled by machine learning analysis based on support vector regression (SVR) after feature extraction with principal component analysis (PCA). The TLC plates used herein, which were made from commercial food-grade diatomaceous earth, served simultaneously as the stationary phase to separate histamine from the blended tuna meat and as ultra-sensitive SERS substrates to enhance the detection limit. Using a simple drop cast method to dispense gold colloidal nanoparticles onto the diatomaceous earth plate, we were able to directly detect histamine concentration in artificially spoiled tuna solution down to 10 ppm. Based on the TLC-SERS spectral data of real tuna samples spoiled at room temperature for 0 to 48 hours, we used the PCA-SVR quantitative model to achieve superior predictive performance exceling traditional partial least squares regression (PLSR) method. This work proves that diatomaceous earth based TLC-SERS technique combined with machine-learning analysis is a cost-effective, reliable, and accurate approach for on-site detection and quantification of seafood allergen to enhance food safety.
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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.