明胶
傅里叶变换红外光谱
化学计量学
化学
色谱法
主成分分析
线性判别分析
偏最小二乘回归
食品科学
数学
人工智能
计算机科学
生物化学
化学工程
统计
工程类
作者
Nur Çebi,Canan Ekinci Doğan,Ayten Ekin Meşe,Durmuş Özdemir,Muhammet Arıcı,Osman Saǧdıç
标识
DOI:10.1016/j.foodchem.2018.10.125
摘要
Gelatin is widely used in gummy candies because of its unique functional properties. Generally, porcine and bovine gelatins are used in the food industry. FTIR-ATR combined with chemometrics analysis such as hierarchical cluster analysis (HCA) (OPUS Version 7.2 software), principal component analysis (PCA) (OPUS Version 7.2 software) and partial least squares-discriminant analysis (PLS-DA) (Matlab R2017b) were used for classification and discrimination of gelatin gummy candies related to their gelatin source. The spectral region between 1734 and 1528 cm−1 was selected for chemometric analysis. The potential of FTIR spectroscopy for determination of bovine and porcine source in gummy candies was examined and validated by a real-time polymerase chain reaction (PCR) method. Twenty commercial samples were tested by developed ATR-FTIR methodology and RT-PCR technique, mutually confirming and supporting results were obtained. Gummy candies were classified and discriminated in relation to the bovine or porcine source of gelatin with 100% success without any sample preparation using FTIR-ATR technique.
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