Preliminary study on the geographical origin of Chinese 'Cuiguan' pears using integrated stable isotope and multi-element analyses
- Tingting Zeng 1,2, Tingting Fu 1,2, Yongchuan Huang 1,2, Wei Zhang 1,2, Jiuping Gong 1,2, Bingjing Ji 1,2, Xiaoxia Yang 1,2, Mingfeng Tang 1,2
- Tingting Zeng 1,2, Tingting Fu 1,2, Yongchuan Huang 1,2
- 1Institute of Agricultural Quality Standard and Testing Technology, Chongqing Academy of Agricultural Sciences, Chongqing 401329, People's Republic of China.
- 2Agricultural Product Quality and Safety Supervision, Inspection and Testing Center, Ministry of Agriculture and Rural Affairs, Chongqing, People's Republic of China.
- 0Institute of Agricultural Quality Standard and Testing Technology, Chongqing Academy of Agricultural Sciences, Chongqing 401329, People's Republic of China.
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View abstract on PubMed
Summary
This summary is machine-generated.Stable isotope and elemental analysis accurately identifies pear geographical origin. This method enhances brand protection and food safety by distinguishing pear sources, ensuring fair trade.
Area Of Science
- Food Science
- Analytical Chemistry
- Agricultural Science
Background
- Geographical origin authentication is crucial for pear brand protection and food safety.
- Variations in stable isotopes and elemental composition can reflect geographical provenance.
Purpose Of The Study
- To develop a reliable method for distinguishing the geographical origin of pears.
- To assess the effectiveness of stable isotope ratios and elemental profiling for origin discrimination.
Main Methods
- Analysis of stable isotope profiles (δ13C, δ15N, δ2H, δ18O) and elemental content (16 elements) in pear samples.
- Application of chemometric techniques, including Principal Component Analysis (PCA), Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA), and Linear Discriminant Analysis (LDA).
Main Results
- Significant differences in stable isotope ratios and 12 elemental contents were observed across four pear production areas (p < 0.05).
- OPLS-DA identified key discriminating variables: δ13C, δ18O, δ2H, Ni, Cd, Ca, δ15N, Sr, and Ga.
- OPLS-DA achieved 87.76% accuracy; LDA demonstrated superior performance with 100% original and 95.7% cross-validated accuracy.
Conclusions
- Stable isotope and elemental analysis combined with chemometrics provides a robust method for pear geographical origin assessment.
- This approach can support brand protection, mitigate food safety risks, and promote fair trade in the pear market.
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