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Related Experiment Video

Updated: Jul 13, 2026

PTR-ToF-MS Coupled with an Automated Sampling System and Tailored Data Analysis for Food Studies: Bioprocess Monitoring, Screening and Nose-space Analysis

PTR-ToF-MS Coupled with an Automated Sampling System and Tailored Data Analysis for Food Studies: Bioprocess Monitoring, Screening and Nose-space Analysis

Published on: May 11, 2017

Rapid and Accurate Quantification Detection of BHT in Edible Oils Using Raman Spectroscopy Combined with Chemometric

Congli Mei¹, Shuai Lu², Xiaolin Zhou²

¹College of Electrical Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310048, China.

Foods (Basel, Switzerland)

|February 27, 2026

Summary

Raman spectroscopy and chemometrics accurately quantify butylated hydroxytoluene (BHT) in edible oils. This method enables rapid screening, offering a reliable alternative for quality control in food products.

Keywords:

Raman spectroscopy antioxidants machine learning multivariate analysis vegetable edible oils

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Last Updated: Jul 13, 2026

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Published on: May 1, 2017

Area of Science:

Analytical Chemistry
Spectroscopy
Chemometrics

Background:

Edible oil quality is linked to chemical composition.
Antioxidants like butylated hydroxytoluene (BHT) extend shelf life.
Accurate BHT quantification is crucial for food safety and quality.

Purpose of the Study:

To quantitatively determine BHT concentration in edible oils.
To develop and validate a rapid screening method using Raman spectroscopy and chemometrics.
To compare the performance of different chemometric models for BHT detection.

Main Methods:

Acquisition of Raman spectra from edible oil samples with varying BHT concentrations.
Application of three variable selection methods (including CARS) to pre-processed spectra.
Development of Radial Basis Function (RBF) neural network and Partial Least Squares (PLS) models using optimized wavelengths.

Main Results:

Variable selection methods identified features highly correlated with BHT content.
The PLS model optimized with Competitive Adaptive Reweighting (CARS) showed the best performance (RP2=0.9687, RMSEP=3.1211).
Demonstrated feasibility of Raman spectroscopy and chemometrics for rapid BHT screening in edible oils.

Conclusions:

Raman spectroscopy combined with chemometrics provides a precise method for BHT determination in edible oils.
The developed models are suitable for high-precision detection and rapid screening.
Further optimization is needed for trace-level BHT detection to meet regulatory standards.