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Geographical origin classification of peanuts and processed fractions using stable isotopes
Syed Abdul Wadood1,2,3, Jing Nie1,3, Chunlin Li1,3
1Institute of Agro-product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Key Laboratory of Information Traceability for Agricultural Products, Ministry of Agriculture and Rural Affairs of China, Hangzhou 310021, China.
Stable isotope analysis (carbon, nitrogen, hydrogen, oxygen) effectively traces peanut origin. Delipidized peanuts showed the highest accuracy in geographical classification using the Linear Discriminant Analysis model.
Area of Science:
- Food Science
- Analytical Chemistry
- Agricultural Science
Background:
- Geographical traceability of food products is crucial for quality control and authenticity.
- Stable isotope analysis offers a powerful tool for determining the origin of agricultural commodities.
- Peanut processing can alter the isotopic signatures, necessitating careful selection of sample fractions.
Purpose of the Study:
- To investigate the utility of stable isotopes (δ13C, δ15N, δ2H, δ18O) for geographical origin determination of peanuts.
- To evaluate the impact of peanut processing on isotopic values across different fractions (whole kernel, shell, delipidized, oil).
- To compare the effectiveness of various classification models (SVM, LDA, k-NN) for origin discrimination.
Main Methods:
- Procurement of peanut samples from three distinct Chinese growing regions (Shandong, Jilin, Jiangsu) in 2017.
- Analysis of stable isotope ratios (¹³C, ¹⁵N, ²H, ¹⁸O) in whole kernels, shells, delipidized peanuts, and peanut oil.
- Application and comparison of Support Vector Machine (SVM), Linear Discriminant Analysis (LDA), and k-Nearest Neighbors (k-NN) classification models.
Main Results:
- Peanut processing significantly affected δ¹³C, δ²H, and δ¹⁸O values, while δ¹⁵N remained consistent across fractions.
- Significant geographical variations were observed for δ¹⁵N and δ¹⁸O values, indicating strong potential for origin discrimination.
- Linear Discriminant Analysis (LDA) achieved the highest classification accuracy for geographical origin.
- Delipidized peanuts exhibited the best classification rate among all tested peanut fractions.
Conclusions:
- Stable isotope analysis, particularly δ¹⁵N and δ¹⁸O, is a reliable method for tracing the geographical origin of peanuts.
- Delipidized peanuts are the optimal fraction for isotopic analysis and origin determination due to their high classification accuracy.
- LDA is the most effective classification model for discriminating peanut geographical origins based on stable isotope data.
