Spectroscopy and Spectral Analysis, Volume. 34, Issue 12, 3307(2014)

Determination of Carmine in Carbonated Beverages Using 3-D Fluorescence Spectra Coupled with Second-Order Calibration Algorithm

LI Run*, CHEN Guo-qing, ZHU Chun, KONG Fan-biao, and HU Yang-jun
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    Three-dimensional fluorescence spectra combined with second-order calibration algorithm based on alternate a weighted residual (ANWE) was applied to the direct concentration determination of carmine in carbonated beverages. Firstly, 3-D fluorescence spectra of carmine and sunset yellow mixed solutions with different concentrations were obtained by employing spectrometer, and analyzed by using ANWE, the correlation coefficient between calibration concentration and the actual concentration was 0.991 7, and the average recovery was 100.92%±2.71%. The results show that the ANWE algorithm is reliable. Then, the commercial carbonated soft drinks in 8, 9, 12 and 13 times diluted concentration were detected by using ANWE algorithm, the correlation coefficient between relative concentration and the actual concentration were 0.993 0, 0.993 0, 0.993 2 and 0.793 2, respectively, and the contents of carmine in beverage were 38.88, 37.71, 37.68 and 39.65 μg·mL-1, respectively. The average concentration was (38.48±0.96) μg·mL-1. Finally, the standard addition method was applied to estimate the prediction accuracy between calibration concentration and the actual concentration was 0.993 5, and the average recovery was 102.99%±2.15%. The results can provide a new idea for the rapid content determination of food pigments in commercial beverages.

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    LI Run, CHEN Guo-qing, ZHU Chun, KONG Fan-biao, HU Yang-jun. Determination of Carmine in Carbonated Beverages Using 3-D Fluorescence Spectra Coupled with Second-Order Calibration Algorithm[J]. Spectroscopy and Spectral Analysis, 2014, 34(12): 3307

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    Paper Information

    Received: Oct. 8, 2013

    Accepted: --

    Published Online: Dec. 8, 2014

    The Author Email: Run LI (lirun1987616@163.com)

    DOI:10.3964/j.issn.1000-0593(2014)12-3307-05

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