Detection of citric acid adulteration in orange juice with the help of electronic nose
Paper ID : 1063-NICAME1402
Authors:
NAHID AGHILI NATEGH *1, sanaz sadruyan2
1Department of Agricultural Machinery Engineering, Sonqor Faculty of Agriculture, Razi University, Kermanshah
22. Department of Biosystem Mechanical Engineering, Faculty of Agriculture, Razi University, Kermanshah, Iran
Abstract:
Orange juice has gained worldwide popularity due to its high nutritional value, attractive color and distinct sweet and sour taste. Citric acid is used as an acid and preservative in the food industry. Besides increasing shelf life, preservatives will be very destructive in the long term and can cause poisoning and even cancer for the consumer. The increasing concerns about the quality and health of food products have required accurate analytical methods to ensure food quality. It is necessary to replace the traditional time-consuming and costly methods of food control with rapid methods to ensure the health and quality of the product. In this research, an electronic nose system based on ten metal oxide semiconductor sensors was used to detect different percentages of citric acid adulteration in orange juice. In order to prepare treatments for smell tests, citric acid was mixed with orange juice in different percentages of 0%, 30% and 50%. Also, principal component analysis (PCA), linear discriminant analysis (LDA) and support vector machine (SVM) were used to classify the extracted features. LDA method was able to correctly distinguish all three percentages of citric acid adulteration in orange juice with 100% accuracy. Also, the SVM model was able to perform well in classifying different percentages of citric acid adulteration. The PCA method was also able to classify different percentages of citric acid adulteration in orange juice with a total of 62% of data variance. MQ135, MQ3 and TGS2610 sensors played the most role in differentiating between samples.
Keywords:
Electronic nose, citric acid, orange juice, cheating
Status : Paper Accepted (Oral Presentation)