Ultrasound Assessment of Honey Using Fast Fourier Transform

被引:4
|
作者
Rufo, Montana [1 ,2 ]
Jimenez, Antonio [1 ,2 ]
Paniagua, Jesus M. [1 ,2 ]
Gonzalez-Mohino, Alberto [2 ,3 ]
机构
[1] Univ Extremadura, Sch Technol, Dept Appl Phys, Ave Univ S-N, Caceres 10003, Spain
[2] Univ Extremadura, Res Inst Meat & Meat Prod, Ave Univ S-N, Caceres 10003, Spain
[3] Univ Extremadura, Fac Vet, Dept Food Technol, Ave Univ S-N, Caceres 10003, Spain
关键词
non-destructive ultrasound; honey; fast Fourier transform (FFT); texture profile analysis (TPA); PHYSICOCHEMICAL CHARACTERISTICS; TEMPERATURE; VISCOSITY;
D O I
10.3390/s21206748
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Ultrasound inspection permits the characteristics of some foodstuffs to be determined easily and cheaply. This experimental study included the determination of various ultrasound parameters provided by the fast Fourier transform (FFT) which had not previously been considered in testing the physical properties of different varieties of honey. These parameters are practically independent of the criteria adopted for their calculation, unlike other ultrasound variables such as pulse velocity or attenuation whose determination can vary depending on those criteria. The study was carried out on four varieties of honey (Eucalyptus, Heather, Thyme, and Thousand Flowers) using 500-kHz transducers. A simultaneously performed honey texture analysis (Texture Profile Analysis-TPA) showed significant linear correlations between the ultrasound variables provided by FFT and the texture parameters. The FFT parameters distinguished between each of the four honey varieties studied.</p>
引用
收藏
页数:10
相关论文
共 50 条
  • [11] Fourier transform Raman spectroscopy of honey
    de Oliveira, LFC
    Colombara, R
    Edwards, HGM
    APPLIED SPECTROSCOPY, 2002, 56 (03) : 306 - 311
  • [12] Objective assessment of the fusion frequency in functional electrical stimulation using the fast Fourier transform
    Sauermann, Stefan
    Rafolt, Dietmar
    Bijak, Manfred
    Unger, Ewald
    Lanmueller, Hermann
    Weigel, Gerlinde
    Girsch, Werner
    Mayr, Winfried
    BIOMEDIZINISCHE TECHNIK, 2007, 52 (04): : 267 - 273
  • [13] Fourier Analysis and the Fast Fourier Transform
    Salvat-Pujol, Francesc
    OPTICA PURA Y APLICADA, 2008, 41 (01): : 31 - 41
  • [14] FAST FOURIER TRANSFORM ALGORITHM USING FERMAT NUMBER TRANSFORM.
    Morikawa, Yoshitaka
    Hamada, Hiroshi
    Yamane, Nobumoto
    Systems, computers, controls, 1982, 13 (04): : 12 - 21
  • [17] Quantum fast Fourier transform using multilevel atoms
    Muthukrishnan, A
    Stroud, CR
    JOURNAL OF MODERN OPTICS, 2002, 49 (13) : 2115 - 2127
  • [19] Accelerating the Nonuniform Fast Fourier Transform using FPGAs
    Kestur, Srinidhi
    Park, Sungho
    Irick, Kevin M.
    Narayanan, Vijaykrishnan
    2010 18TH IEEE ANNUAL INTERNATIONAL SYMPOSIUM ON FIELD-PROGRAMMABLE CUSTOM COMPUTING MACHINES (FCCM 2010), 2010, : 19 - 26
  • [20] Using fast Fourier transform to assess respiratory rate
    Wu, XueJun
    Payseur, Jason
    Bayrak, Konuralp
    Turner, Sandra
    Bahinski, Anthony
    Rossman, Eric I.
    JOURNAL OF PHARMACOLOGICAL AND TOXICOLOGICAL METHODS, 2018, 93 : 159 - 159