Measurement and Calculation Methods on Absorption and Scattering Properties of Turbid Food in Vis/NIR Range

Xie, Dong

doi:10.1007/s11947-020-02402-3

Cited by 20 publications

(11 citation statements)

References 68 publications

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“…3b). The acquisition of spectra is related to the spectral absorption and the reduction of scattering coefficient of peaches (Xie & Guo, 2020). According to the study of Cen et al, the peel has an effect on the spectral absorption and the reduction of scattering coefficient (Cen et al ., 2012).…”

Section: Resultsmentioning

confidence: 99%

Kernel partial least squares model for pectin content in peach using near‐infrared spectroscopy

Bao

Liu

Zhong

et al. 2020

Int J of Food Sci Tech

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Section: Resultsmentioning

confidence: 99%

Kernel partial least squares model for pectin content in peach using near‐infrared spectroscopy

Bao

Liu

Zhong

et al. 2020

Int J of Food Sci Tech

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“…where θ is the deflection angle of a photon after being scattered by a particle and the anisotropy factor g is the cosine expectation of θ, 13 i.e.…”

Section: Realistic Grape Berry Modelmentioning

confidence: 99%

Flexible micro-spectrometer for grape maturation monitoring

Jenne

Zappe²

2023

MOEMS and Miniaturized Systems XXII

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UV/VIS spectroscopy is a useful and efficient tool for non-destructive remote and real-time monitoring of the maturation of grapes and other agricultural products. For this purpose, we have developed a fully-integrated micro-spectrometer consisting of four LEDs emitting at different wavelengths which will allow a spectral analysis of the sample under investigation in reflection mode. The positioning of the emitters and photodiodes with respect to each other was optimized using simulations employing a grape model based on the Henyey-Greenstein scattering model, with parameters calculated from reflectance and transmission data of real grapes. The sensor was fabricated on a polyimide stripe on which the optical components were placed and interconnected on one side and an array of electrical contacts on the other side allowed interfacing of the sensor with the driving electronics. With an overall thickness of 11 µm, this sensor stripe can be placed inside a grape bunch and acquire reflectance data continuously in the vineyard during the maturation period.

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“…The average refractive indices of the two-layered media were both chosen to be 1.35, which was typical for most horticultural products (e.g., apple, blueberry, citrus, tomato etc.) [20,21], while the media above and beneath the tissue were treated as air, with the refractive index of 1.0. The anisotropy factor g was set to 0.9, and Henyey-Greenstein phase function was used to describe light scattering.…”

Section: Monte Carlo Simulationsmentioning

confidence: 99%

Numerical Simulation on Spatial-Frequency Domain Imaging for Estimating Optical Absorption and Scattering Properties of Two-Layered Horticultural Products

Huang

Zhang³

et al. 2021

Applied Sciences

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Spatial-frequency domain imaging (SFDI) is a wide-field, noncontact, and label-free imaging modality that is currently being explored as a new means for estimating optical absorption and scattering properties of two-layered turbid materials. The accuracy of SFDI for optical property estimation, however, depends on light transfer model and inverse algorithm. This study was therefore aimed at providing theoretical analyses of the diffusion model and inverse algorithm through numerical simulation, so as to evaluate the potential for estimating optical absorption and reduced scattering coefficients of two-layered horticultural products. The effect of varying optical properties on reflectance prediction was first simulated, which indicated that there is good separation in diffuse reflectance over a large range of spatial frequencies for different reduced scattering values in the top layer, whereas there is less separation in diffuse reflectance for different values of absorption in the top layer, and even less separation for optical properties in the bottom layer. To implement the nonlinear least-square method for extracting the optical properties of two-layered samples from Monte Carlo-generated reflectance, five curve fitting strategies with different constrained parameters were conducted and compared. The results confirmed that estimation accuracy improved as fewer variables were to be estimated each time. A stepwise method was thus suggested for estimating optical properties of two-layered samples. Four factors influencing optical property estimation of the top layer, which is the basis for accurately implementing the stepwise method, were investigated by generating absolute error contour maps. Finally, the relationship between light penetration depth and spatial frequency was studied. The results showed that penetration depth decreased with the increased spatial frequency and also optical properties, suggesting that appropriate selection of spatial frequencies for a stepwise method to estimate optical properties from two-layered samples provides potential for estimation accuracy improvement. This work lays a foundation for improving optical property estimation of two-layered horticultural products using SFDI.

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Measurement and Calculation Methods on Absorption and Scattering Properties of Turbid Food in Vis/NIR Range

Cited by 20 publications

References 68 publications

Kernel partial least squares model for pectin content in peach using near‐infrared spectroscopy

Kernel partial least squares model for pectin content in peach using near‐infrared spectroscopy

Flexible micro-spectrometer for grape maturation monitoring

Numerical Simulation on Spatial-Frequency Domain Imaging for Estimating Optical Absorption and Scattering Properties of Two-Layered Horticultural Products

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