ArticleScientific reports2017
Detection and quantification of offal content in ground beef meat using vibrational spectroscopic-based chemometric analysis.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- AI-Driven Nondestructive Measurement Technologies for Meat Quality and Safety: A Review.Foods (Basel, Switzerland) · 2026Review
- Rapid Authentication of Plant-Based Milk Alternatives by Coupling Portable Raman Spectroscopy With Machine Learning.Journal of AOAC International · 2026Article
- Development of Water-Dispersible CuS Nanoparticles for Chemo-Photothermal Therapy and Photoacoustic Application.Chemphyschem : a European journal of chemical physics and physical chemistry · 2025Article
- The Effect of the Level of Goat Liver Addition to Goat Minced Meat on the Near-Infrared Spectra, Colour, and Shelf Life of Samples.Foods (Basel, Switzerland) · 2025Article
- A comparative study of meat quality and vibrational spectroscopic properties of different chicken breeds.Poultry science · 2022Article
- Differentiation of Livestock Internal Organs Using Visible and Short-Wave Infrared Hyperspectral Imaging Sensors.Sensors (Basel, Switzerland) · 2022Article
- Spectroscopic techniques for authentication of animal origin foods.Frontiers in nutrition · 2022Review
- Detection of Meat Adulteration Using Spectroscopy-Based Sensors.Foods (Basel, Switzerland) · 2021Article
- Rapid detection and specific identification of offals within minced beef samples utilising ambient mass spectrometry.Scientific reports · 2019Article
- The employment of Fourier transform infrared spectroscopy coupled with chemometrics techniques for traceability and authentication of meat and meat products.Journal of advanced veterinary and animal research · 2019Review
- Identification and Quantification of Texture Soy Protein in A Mixture with Beef Meat Using ATR-FTIR Spectroscopy in Combination with Chemometric Methods.Iranian journal of pharmaceutical research : IJPR · 2019Article
- Non-Destructive Trace Detection of Explosives Using Pushbroom Scanning Hyperspectral Imaging System.Sensors (Basel, Switzerland) · 2018Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As less consumed animal by-product, beef and pork offal have chances to sneak into the authentic ground beef meat products, and thus a rapid and accurate detection and quantification technique is highly required. In this study, Fourier transformed-infrared (FT-IR) spectroscopy was investigated to develop an optimized protocol for analyzing ground beef meat potentially adulterated with six types of beef and pork offal. Various chemometric models for classification and quantification were constructed for the collected FT-IR spectra. Applying optimized chemometric models, FT-IR spectroscopy could differentiate authentic beef meat from adulterated samples with >99% accuracy, to identify the type of offal in the sample with >80% confidence, and to quantify five types of offal in an accurate manner (R
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