2001
DOI: 10.1366/0003702011953496
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Time-Resolved Reflectance Spectroscopy Applied to the Nondestructive Monitoring of the Internal Optical Properties in Apples

Abstract: Time-resolved reflectance has been used for the nondestructive measurement of optical properties in apples. The technique is based on the detection of the temporal dispersión of a short láser pulse injected into the probed médium. The time distribution of re-emitted photons interpreted with a solution of the diffusion equation yields the mean valúes of the absorption and reduced scattering coefficients of the médium. The proposed technique proved useful for the measurement of the absorption and scattering spec… Show more

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Cited by 95 publications
(53 citation statements)
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“…Because absorption and scattering are interwoven during light transfer in turbid media, fast and accurate measurement of the absorption and scattering coefficients still remains a challenging task. Over the years, researchers in the field of biomedical optics have developed several techniques for measuring the optical properties of biological tissues, which, according to their measurement principles, can be categorized into: time-resolved [93,94], frequency domain [95,96], spatially-resolved [56,97], and spatial frequency domain [98,99]. While time-resolved and frequency domain techniques are able to interrogate the tissues at a greater depth, they generally require more expensive and sophisticated instrumentation and have fewer wavelength selection options.…”
Section: Spatially-resolved Spectroscopic Technique For Optical Propementioning
confidence: 99%
“…Because absorption and scattering are interwoven during light transfer in turbid media, fast and accurate measurement of the absorption and scattering coefficients still remains a challenging task. Over the years, researchers in the field of biomedical optics have developed several techniques for measuring the optical properties of biological tissues, which, according to their measurement principles, can be categorized into: time-resolved [93,94], frequency domain [95,96], spatially-resolved [56,97], and spatial frequency domain [98,99]. While time-resolved and frequency domain techniques are able to interrogate the tissues at a greater depth, they generally require more expensive and sophisticated instrumentation and have fewer wavelength selection options.…”
Section: Spatially-resolved Spectroscopic Technique For Optical Propementioning
confidence: 99%
“…The skin thickness was estimated from the boundary where a fast growth of the cells Table 2. The data concerning the flesh have been reported by authors who worked with the hyperspectral imaging-based spatially-resolved method [48,49] or with the time-resolved method [1,2], in the wavelengths ranging from 633 nm to 850 nm. The listed data especially show the variation between retrieved optical properties due to considered apple varieties or to the optical technique which has been used for the measurements.…”
Section: Monte Carlo Input Datamentioning
confidence: 99%
“…Incident photons that penetrate in turbid tissues often undergo multiple scattering events before being absorbed or exiting from the material. Light absorption is primarily due to chemical constituents (chromophores and pigments) of the material [1][2][3], whereas light scattering is more related to structural features (density, particle size, and cellular structures) [4][5][6]. These two fundamental optical events are characterized by the absorption coefficient µ a , the scattering coefficient µ s , the scattering anisotropy g, the reduced scattering coefficient µ' s (µ' s = µ s (1´g)), and the refractive index (n) [7,8].…”
Section: Introductionmentioning
confidence: 99%
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“…In the past decade, investigations for measuring tissue absorption and scattering coefficients of agro-products became popular for the previously mentioned reasons. Much attention was paid to the optical properties of apples perhaps because of the universality of this crop (Cubeddu et al, 2001a;2001b;Zerbini et al, 2002;Qin and Lu, 2008;Vanoli et al, 2009;Lu et al, 2010;Rizzolo et al, 2010). Other fruits (peach (Cen et al, 2012), pear (Zerbini et al, 2002), plum (Qin and Lu, 2008), etc.)…”
Section: Introductionmentioning
confidence: 99%