Olive oil adulteration detection method combining low-field nuclear magnetic resonance with pattern recognition technology
A low-field nuclear magnetic resonance and pattern recognition technology, applied in the field of food analysis, can solve problems such as destructiveness, complex preprocessing, and time-consuming, and achieve the effect of guaranteeing rights, efficient and reliable detection methods, and simplifying data.
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[0034] Below in conjunction with specific implementation examples, further illustrate the present invention:
[0035] A method for detecting adulteration of olive oil based on low-field nuclear magnetic resonance technology, comprising the following steps:
[0036] 1) Collect pure extra virgin olive oil samples and adulterated binary mixed olive oil samples, Spanish extra virgin olive oil samples are provided by Xiamen Customs Inspection and Quarantine Technology Center. Soybean oil and corn oil are refined edible oils purchased from local supermarkets in Xiamen;
[0037] 2) Perform low-field nuclear magnetic resonance detection for each sample, and obtain the transverse relaxation time T after inversion through the Windows analysis platform and the multi-exponential fitting analysis program (T-invfit) after acquisition 2 distribution spectrum;
[0038] 3) According to step (2), for different adulterated ratios of olive oil T 2 Compare the characteristic parameters of the d...
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