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Chen, Y., Luo, Q., Wang, J. and Zheng, X. (2018). Rapid Identification and Characterization of Recovered Edible Oil, Based on Raman and Near-Infrared Spectroscopy. Proceedings of the 2018 3rd International Conference on Modelling, Simulation and Applied Mathematics (MSAM 2018), Shanghai, 22-23 July 2018, 321-324.
https://doi.org/10.2991/msam-18.2018.67

has been cited by the following article:

• TITLE: Identification of Sudanese Sesame Oil Quality Using a 680 nm Semiconductor Laser Spectrometer and Other Techniques

  AUTHORS: Mohammed Uthman Orsod, Mubarak Dirar Abdalla, Ganesan Krishnan, Babikir Osman Elbashir, Faiz Mohamed Budr Elshafia

  KEYWORDS: Industrial Oil Production, Laser Spectroscopy, Quality Control, Sudanese Sesame Oil, Traditional Sesame Oil, Traditional Oil Presses

  JOURNAL NAME: Optics and Photonics Journal, Vol.14 No.3, March 31, 2024

  ABSTRACT: This study investigates the optical properties of sesame oil from traditional and industrial sources using a custom-designed semiconductor laser spectrometer, UV-Vis spectroscopy, and FTIR spectroscopy. Six samples were collected from traditional presses and factories in Khartoum State and White Nile State. The spectrometer, constructed with a 680 nm semiconductor laser and various resistor values, measured the absorbance of sesame oil samples. UV-Vis spectroscopy identified absorbance peaks at 670 nm and 417 nm, corresponding to chlorophyll a and b. FTIR analysis showed nearly identical spectra among the samples, indicating similar chemical compositions. Laser spectrometer analysis revealed specific absorbance values for each sample. The results highlight the feasibility of using a 680 nm semiconductor laser for analyzing sesame oil, providing a cost-effective alternative to other wavelengths. This study demonstrates the potential of integrating traditional methods with modern spectroscopic techniques for the quality assessment of sesame oil.