کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6404152 | 1330900 | 2013 | 7 صفحه PDF | دانلود رایگان |
- Spectrofluorimetry combined with PLS, MLR and PCR for determining DPA in fruit.
- An appropriate calibration set may allow for determining DPA in food products.
- The proposed method requires no prior separation or derivatization process.
- Method has been successfully applied for determination of DPA in fruit samples.
Determination of diphenylamine residue in fruit samples was studied based on normal, synchronous first- and second- derivative spectrofluorimetry. These methods were performed using three of the most widely employed multivariate calibration techniques which are partial least squares, multiple linear regression and principal component regression. Eighteen combinational methods were tested to present the best model for determination of diphenylamine residue. The prediction performance of the calibration models, which was constructed on the basis of these methods, was also compared. For a range of concentrations from 10 to 100 μg kgâ1 of diphenylamine in the fruit prediction set, the values of root mean square error and relative error of prediction, using multiple linear regressions, were determined in the range of 3.3-4.1 μg kgâ1 and 6.4-8.0%, respectively. Repeatability studies were satisfactory, giving RSD% values of 1.8, 5.6, and 3.3 for apple, pear, and orange, respectively. The calibration graphs were linear in the range of 10-100 μg kgâ1 and detection limits were between 4 and 7 μg kgâ1. The presented method was successfully applied to determine diphenylamine residue in some of naturally treated fruit samples and the results indicated proper agreement with those obtained by HPLC analysis.
Journal: LWT - Food Science and Technology - Volume 54, Issue 1, November 2013, Pages 6-12