Xiaoyun Wu1, Naqin1, Shiqi Hao1, Rimutu Ji1,2 and Liang Ming1,2*
1Key Laboratory of Dairy Biotechnology and Bioengineering, Ministry of Education,
College of Food Science and Engineering, Inner Mongolia Agricultural University, 010018, Hohhot, China
2Camel Research Institute of Inner Mongolia, 737300, Alashan, China
In recent years, owing to popular use and high price of camel milk powder, it is likely to be adulterated, hence needs a quick method of detecting adulteration. This study took camel milk powder as the research object, and added 0%, 1%, 5%, 10%, 20%, 30%, 50% and 100% adulterants, such as goat milk powder, cow milk powder, protein powder and starch for sample preparation. According to the odour characteristics of adulterated camel milk, the electronic nose technology combined with principal component analysis (PCA) and partial least square discriminant analysis (PLS-DA) were used for qualitative discrimination and quantitative analysis. Finally, multiple linear regression analysis (MLR) was used to verify the information of adulterated camel milk powder samples. The results showed that PCA analysis can distinguish different proportions of adulterated camel milk powder; PLS-DA model can effectively distinguish adulterated camel milk powder, and the detection limit of adulteration in camel milk powder was 1%. The correlation coefficients of linear regression analysis were all higher than 85%, and the predicted value and the actual adulteration value showed a certain linear relationship, indicating that the model had good generalisation ability. Therefore, it was feasible to use the electronic nose to realise the rapid detection method of camel milk powder adulteration.
Key words: Adulteration, camel milk powder, electronic nose, qualitative discrimination, quantitative analysis