| The use of Fourier Transform Infrared (FTIR) spectrometry for distinguishing between sweet almonds and bitter almonds is beneficial |
| Paper ID : 1294-NICAME1402 |
| Authors: |
|
Mojtaba Afsharipour *1, Mohsen Shamsi1, Hojatollah Khabazzadeh2 1Department of Agricultural Machinery Engineering, University of Shahid bahonar, Kerman, Iran 2Department of chemistry, University of Shahid bahonar, Kerman, Iran |
| Abstract: |
| Sweet and bitter almonds differ from each other in terms of price and the amount of consumption in the market. The distinction between these two types of almonds helps traders and manufacturers to price their products properly and increase their profitabilities. In this article, the non-destructive method of FTIR was used to separate sweet almonds from the bitter ones. The comparison of the FTIR spectra of sweet bitter almonds is possible using the analysis of elements present in them. Spectral data were obtained in the wavelength range of 400- 4000 cm-1. Initially, to determine the normality of the data, the obtained spectra were analyzed in SPSS software. The Kolmogorov-Smirnov and Shapiro-Wilk tests were used to examine the distribution and normality of the data at a 95% confidence level. After normalizing the results of the analysis of variance, median, mean, and test, the comparison of means were performed using Python software on the normalized spectral data. In this study, T-Test was used to investigate the significant difference in means between the two almond groups. The results indicate that FTIR can accurately distinguish between sweet almonds and bitter ones, with different peaks indicating the distinction between the two types. the T-Test also showed a significant difference between the two types of almonds. This method can be used as a fast and non-destructive technique to distinguish between the two types of almonds in various industries such as food, agriculture, commerce. it can help to improve the quality of products and prevent market fraud. |
| Keywords: |
| Normal Test, Sweet almond, bitter almond, Python, separation, spectral data, Fourier transform infrared spectrum |
| Status : Paper Accepted (Oral Presentation) |
