|
| Detection of adulteration content in sesame oil by optimizing the modelestablished by synergy interval partial least squares based on near infrared spectroscopy |
| |
| DOI：10.12166/j.zgyz.1003-7969/2020.02.017 |
| KeyWord:near infrared spectroscopy UVE SiPLS tsPSO |
| FundProject:国家重点研发计划（2017YFD0700501）；江苏省科技计划（BY2016009-03） |
|
| Hits: 1974 |
| Download times: 681 |
| Abstract: |
| A quantitative analysis model for determining the adulteration content of soybean oil in sesame oil was established by near infrared spectroscopy technique. Based on the near infrared spectroscopy of a total of 384 adulterated sesame oil samples from 32 content gradients, the spectrum was pre-processed by the standard normal variate transformation (SNV), then the wavelength variable was initially filtrated by the uninformative variables elimination(UVE) method firstly, and then the model for predicting the adulteration content of soybean oil in sesame oil was established by combining the synergy interval partial least squares (SiPLS) with extremum disturbed simple particle swarm optimization(tsPSO). After wavelengths extraction, the number of wavelengths was reduced from 451 to 219. The correlation coefficients of the train set and the test set were 0.999 8 and 0.991 9 respectively. The root-mean-square errors were 4.39E-2 and 3.99E-2 respectively. The experimental results showed that the method could be used as a rapid method to detect the adulteration content of soybean oil in sesame oil. In addition, the method could also be applied to the detection of adulteration content of other low-value oil in sesame oil. |
| View full text View/Add Comment Download reader |
| Close |
