Identification of Recycled Cooking Oil and Edible Oils by Iodine Determination and Carbon Isotopic Analysis

Lu, Hai Yan; Wei, Chao; Fu, Hui; Li, Xiuqin; Zhang, Qinghe; Wang, Jun

doi:10.1007/s11746-015-2726-0

Cited by 3 publications

(2 citation statements)

References 18 publications

(16 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…(Table S2). e results were consistent with other reports about the δ 13 C values of C3 and C4 plants oils [19,20].…”

Section: δ 13 C Determination Of Cyclohexane Extracts Of Collected Sasupporting

confidence: 93%

“…EA-IRMS could be applied to discriminate raw EF, processed EF, and the C3 plant oils used during EF processing. e EA-IRMS methods have been established for the authenticity evaluation and geographical traceability of foods, including plant oils and edible animal fats [18][19][20]. However, few papers have reported about the application of EA-IRMS on the authentication of processed Chinese material medica.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Authentication of Processed Epimedii folium by EA-IRMS

et al. 2020

Journal of Analytical Methods in Chemistry

View full text Add to dashboard Cite

Processing of crude drug is a key character of traditional Chinese medicine (TCM), which could enhance the efficacy and/or reduce the toxicity of crude drugs to fulfill different requirements of TCM clinical practice. Epimedii folium (EF) is a widely used TCM. As a traditional method of TCM, EF is processed with refined mutton fat before being used in clinical practice. It has been reported that processing EF with mutton fat could improve the bioavailability and intestinal absorption of epimedium flavonoids and thus enhances the pharmacological effects. For economic benefits, it is possible to adulterate processed EF with unprocessed drug or process EF with cheaper plant oils. In the present study, 17 batches of crude and processed EF samples were collected from the Chinese market and 10 batches of replica processed drugs were prepared with different edible plant oils and animal fats in our laboratory. Elemental analyzer coupled with isotopic ratio mass spectrometry (EA-IRMS) was applied to determine the δ 13 C values of the cyclohexane extracts of those samples. Significant differences could be observed in the results. EA-IRMS could be used to discriminate raw EF, processed EF, and EF processed with C3 plant oils.

show abstract

“…(Table S2). e results were consistent with other reports about the δ 13 C values of C3 and C4 plants oils [19,20].…”

Section: δ 13 C Determination Of Cyclohexane Extracts Of Collected Sasupporting

confidence: 93%

Section: Resultsmentioning

confidence: 99%

Authentication of Processed Epimedii folium by EA-IRMS

et al. 2020

Journal of Analytical Methods in Chemistry

View full text Add to dashboard Cite

show abstract

The use of stable isotope ratio analysis to characterise saw palmetto (Serenoa Repens) extract

et al. 2019

View full text Add to dashboard Cite

Identification of the interference spectra of edible oil samples based on neighborhood rough set attribute reduction

XU¹,

Wu²,

GONG³

et al. 2023

Appl. Opt.

View full text Add to dashboard Cite

Due to numerous edible oil safety problems in China, an automatic oil quality detection technique is urgently needed. In this study, rough set theory and Fourier transform spectrum are combined for proposing a digital identification method for edible oil. First, the Fourier transform spectra of three different types of edible oil samples, including colza oil, waste oil, and peanut oil, are measured. After the input spectra are differentially and smoothly processed, the characteristic wavelength bands are selected with neighborhood rough set attribution reduction (NRSAR). Moreover, the classification models are established based on random forest (RF) and extreme learning machine (ELM) algorithms. Finally, confusion matrix, classification accuracy, sensitivity, specificity, and the distribution of judgment are calculated for evaluating the classification performances of different models and determining the optimal oil identification model. The results show that by using the third-order difference pre-processing method, 193 wavelength bands in the visible range can be reduced to 10 characteristic wavelengths, with a compression ratio of over 88.61%. Using the established NRS-RF and NRS-ELM models, the total identification accuracies are 91.67% and 93.33%, respectively. In particular, the identification accuracy of peanut oil using the NRS-ELM model reaches up to 100%, whereas the identification accuracies obtained using the principal component analysis (PCA)-based models that are commonly used in information processing (PCA-RF and PCA-ELM) are 81.67% and 90.00%, respectively. As compared with feature extraction methods, the proposed NRSAR shows directive advantages in terms of precision, sensitivity, specificity, and the distribution of judgment. In addition, the execution time is also reduced by approximately 1/3. Conclusively, the NRSAR method and NRS-ELM the model in the spectral identification of edible oil show favorable performance. They are expected to bring forth insightful oil identification techniques.

show abstract

Identification of Recycled Cooking Oil and Edible Oils by Iodine Determination and Carbon Isotopic Analysis

Cited by 3 publications

References 18 publications

Authentication of Processed Epimedii folium by EA-IRMS

Authentication of Processed Epimedii folium by EA-IRMS

The use of stable isotope ratio analysis to characterise saw palmetto (Serenoa Repens) extract

Identification of the interference spectra of edible oil samples based on neighborhood rough set attribute reduction

Contact Info

Product

Resources

About