Monte Carlo simulation for quantitative determination of fat content in dairy products

被引:1
|
作者
Elsharkawy, Wafaa B. [1 ]
机构
[1] Prince Sattam Bin Abdulaziz Univ, Coll Sci & Humanities, Phys Dept, Alkharj 11942, Saudi Arabia
关键词
X-ray scattering profile; Fat percentages; Monte Carlo simulation; Dairy products; Tissue characterization; X-RAY-SCATTERING; BONE; TISSUES;
D O I
10.1007/s11694-020-00695-8
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
A modified method for the quantitative estimation of fat content in some dairy products from their X-ray scattering profiles is introduced in this manuscript. Measured X-ray scattering profile of each dairy product was compared to Monte Carlo simulated profiles in order to deduce the fat percentage in each dairy product. Two distinguishable characteristic peaks were observed in each profile. The first one was at a momentum transfer of 1.1 nm(-1)(characteristic to fat content) and the second peak was at a momentum transfer of 1.6 nm(-1)(characteristic to water content). By comparing the measured profiles to simulated profiles one could obtain the fat percentage in each dairy product. The correlation coefficient between measured and simulated data was determined to obtain the percentage of fat in each sample from the best fitted profiles. Results showed high correlation coefficient value (> 0.9) between measured and simulated profiles. Therefore it was possible to utilize Monte Carlo simulation as a tool for quantitative determination of fat content in dairy products.
引用
收藏
页码:976 / 982
页数:7
相关论文
共 50 条
  • [41] Uncertainty evaluation in the determination of oil and grease content in produced water by colorimetric method using Monte Carlo Simulation
    de Oliveira, Elcio Cruz
    Biazon, Cesar Luis
    Moreira, Rosana Medeiros
    de Souza Filho, Pedro Lincoln
    PETROLEUM SCIENCE AND TECHNOLOGY, 2019, 37 (04) : 436 - 442
  • [42] Monte Carlo simulation techniques for quantitative X-ray microanalysis
    Reimer, L
    MIKROCHIMICA ACTA, 1996, : 1 - 12
  • [43] Quantitative Analysis of Transmission XRD Background Based on Monte Carlo Simulation
    Yuan J.
    Huang N.
    He Z.
    Peng B.
    Wang P.
    Yuanzineng Kexue Jishu/Atomic Energy Science and Technology, 2024, 58 (02): : 441 - 450
  • [44] Quantitative validation of Monte Carlo SPECT simulation: application to a Mediso AnyScan GATE simulation
    Pells, Sophia
    Cullen, David M.
    Deidda, Daniel
    Denis-Bacelar, Ana M.
    Fenwick, Andrew
    Ferreira, Kelley M.
    Hamilton, David
    Heetun, Warda
    Julyan, Peter
    Needham, George
    Pietras, Ben
    Price, Emlyn
    Scuffham, James
    Tipping, Jill
    Robinson, Andrew P.
    EJNMMI PHYSICS, 2023, 10 (01)
  • [45] Quantitative validation of Monte Carlo SPECT simulation: application to a Mediso AnyScan GATE simulation
    Sophia Pells
    David M. Cullen
    Daniel Deidda
    Ana M. Denis-Bacelar
    Andrew Fenwick
    Kelley M. Ferreira
    David Hamilton
    Warda Heetun
    Peter Julyan
    George Needham
    Ben Pietras
    Emlyn Price
    James Scuffham
    Jill Tipping
    Andrew P. Robinson
    EJNMMI Physics, 10
  • [46] QUANTITATIVE-DETERMINATION OF SOME THICKENERS IN DAIRY-PRODUCTS
    GLUCK, U
    THIER, HP
    ZEITSCHRIFT FUR LEBENSMITTEL-UNTERSUCHUNG UND-FORSCHUNG, 1980, 170 (04): : 272 - 279
  • [47] Determination of benzoic acid content of dairy products consumed in Turkey
    Gucer, Leyla
    Kinik, Ozer
    Yerlikaya, Oktay
    Meric, Saban
    Aydin, Emel
    Kilincer, Mehmet
    Kurtulus, Gulbeyaz
    Yagli, Hatice Gur
    JOURNAL OF FOOD SAFETY AND FOOD QUALITY-ARCHIV FUR LEBENSMITTELHYGIENE, 2016, 67 (04): : 107 - 111
  • [48] Optimizing Monte Carlo simulation for detecting the internal information in a fat–muscle media
    Yan Liu
    Xue Yang
    Gang Li
    Ling Lin
    Optical and Quantum Electronics, 2016, 48
  • [49] Monte Carlo Simulation of the Determination of Complex Mixed Solution with Hyperspectral Technique
    Li Gang
    Xiong Chan
    Li Jia-xing
    Lin Ling
    Tong Ying
    Zhang Bao-ju
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2011, 31 (11) : 3014 - 3017
  • [50] Composite Materials Property Determination by Rule of Mixture and Monte Carlo Simulation
    GazizYerbolat
    ShynggysAmangeldi
    Ali, Md. Hazrat
    Badanova, Nazym
    Ashirbeok, Asset
    Islam, Gulzhahan
    PROCEEDINGS OF THE 2018 IEEE INTERNATIONAL CONFERENCE ON ADVANCED MANUFACTURING (IEEE ICAM), 2018, : 384 - 387