Mechanical Properties of Pear as a Function of Location and Orientation

Wang, J.

doi:10.1081/jfp-120025392

Cited by 27 publications

(16 citation statements)

References 18 publications

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“…Dominant frequency value is the same for detected orientations and the magnitude is greater from the detected cheek 2 (opposite side of impact point) than from two other detected orientations. This agrees with Wang (2003Wang ( , 2004 findings that mechanical properties of Dangshan pear and Pointred peach were not affected by orientation.…”

Section: Dynamic Response With Detected Orientationsupporting

confidence: 93%

The firmness detection by excitation dynamic characteristics for peach

Wang¹,

Teng²,

Yu³

2006

Food Control

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Section: Dynamic Response With Detected Orientationsupporting

confidence: 93%

The firmness detection by excitation dynamic characteristics for peach

Wang¹,

Teng²,

Yu³

2006

Food Control

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“…The mechanical properties of the fruits show that the fruits of different cultivars are not homogenous, and also have behaved differently under load conditions. The non homogenous anisotropic behaviour is also found in apples (Abbott & Lu, 1996) and pear (Wang, 2004). During boiling the fruits have become softer, but the decrease in strength of fruits was not uniform in all the three cultivars due to the difference in fiber content.…”

Section: Mechanical Propertiesmentioning

confidence: 84%

“…5). This may be due to orientation of fiber in the pulp of fruits and the same trend of higher firmness in radial orientation is found in apple fruits (Wang, 2004).…”

Section: Mechanical Propertiesmentioning

confidence: 88%

Physical and mechanical properties of aonla fruits

Goyal

Kingsly

Kumar

et al. 2007

Journal of Food Engineering

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“…Wang (2004) studied the mechanical properties including failure stress, failure strain, failure energy and Young's modulus of pear tissue related to specimen orientation and location. His study showed that the mechanical properties were significantly affected by specimen orientation, latitude and depth, but not affected by the longitude of the specimen.…”

Section: Introductionmentioning

confidence: 99%

Application of NIR spectroscopy for firmness evaluation of peaches

Zhou

Xie

et al. 2008

J. Zhejiang Univ. Sci. B

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Abstract:The use of near infrared (NIR) spectroscopy was proved to be a useful tool for quality analysis of fruits. A bifurcated fiber type NIR spectrometer, with a detection range of 800~2500 nm by InGaAs detector, was used to evaluate the firmness of peaches. Anisotropy of NIR spectra and firmness of peaches in relation to detecting positions of different parts (including three latitudes and three longitudes) were investigated. Both spectra absorbency and firmness of peach were influenced by longitudes (i, ii, iii) and latitudes (A, B, C). For modeling, two thirds of the samples were used as the calibration set and the remaining one third were used as the validation or prediction set. Partial least square regression (PLSR) models for different longitude and latitude spectra and for the whole fruit show that collecting several NIR spectra from different longitudes and latitudes of a fruit for NIR calibration modeling can improve the modeling performance. In addition, proper spectra pretreatments like scattering correction or derivative also can enhance the modeling performance. The best results obtained in this study were from the holistic model with multiplicative scattering correction (MSC) pretreatment, with correlation coefficient of cross-validation r cv =0.864, root mean square error of cross-validation RMSECV=6.71 N, correlation coefficient of calibration r=0.948, root mean square error of calibration RMSEC=4.21 N and root mean square error of prediction RMSEP=5.42 N. The results of this study are useful for further research and application that when applying NIR spectroscopy for objectives with anisotropic differences, spectra and quality indices are necessarily measured from several parts of each object to improve the modeling performance.

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Mechanical Properties of Pear as a Function of Location and Orientation

Cited by 27 publications

References 18 publications

The firmness detection by excitation dynamic characteristics for peach

The firmness detection by excitation dynamic characteristics for peach

Physical and mechanical properties of aonla fruits

Application of NIR spectroscopy for firmness evaluation of peaches

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