Evaluation of fruit tissue texture and internal disorders by laser Doppler detection

Muramatsu, Noboru; Sakurai, Naoki; Wada, Naoki; Yamamoto, Ryōichi; Takahara, T.; Ogata, Tatsushi; Tanaka, Keiichi; Asakura, Tetsuo; Ishikawa-Takano, Yuko; Nevins, Donald J.

doi:10.1016/s0925-5214(98)00062-3

Cited by 34 publications

(21 citation statements)

References 8 publications

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“…Granulated fruit have also been detected in "Hyuganatsu" citrus (Citrus tamurana Hort. ex Tanaka) (Muramatsu et al, 1999). It has been suggested that modal properties derived from the vibration response could be used to detect internal defects or shifts in fruit structure, and that a method for the prediction of fruit quality could be developed based on modal parameters.…”

Section: Introductionmentioning

confidence: 99%

Nondestructive Detection of Split Pit in Peaches Using an Acoustic Vibration Method

et al. 2018

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Split-pit in peach fruit is a problematic disorder. Split-pit fruit cannot be detected based on external appearance, and contamination of fruit by split-pit reduces its reliability in the marketplace. Here, we demonstrate that split-pit fruit can be identified by a nondestructive acoustic vibration method and a unique approach based on the ratio of the third (f 3 ) to the second (f 2 ) resonant frequency. The response-resonant frequency spectra showed that the peaks of f 2 frequencies in split-pit fruit were shifted to much lower values than those in normal fruit, whereas those of f 3 frequencies showed only small shifts. The calculated f 3 /f 2 ratios in most normal fruit were in the range of 1.35-1.4, whereas those in split-pit fruit were 1.45-2.0. Analysis of more than 300 fruit samples revealed that by setting the f 3 /f 2 cut-off value at >1.45, 95% of split-pit fruit in the fruit samples were detected, whereas only 1.5% of normal fruit were missorted as split-pit fruit. A model for simulating the vibration properties of peach fruit was developed by using the finite element method. The simulated vibration patterns showed that f 3 /f 2 values were increased by the insertion of split pit, indicating that, at least partially, the observed high f 3 /f 2 values in split-pit fruit directly reflected split-pit occurrence. These results clearly demonstrate that the use of f 3 /f 2 ratios obtained using an acoustic vibration method can effectively detect fruit with split-pit. The possibility of installing acoustic vibration devices in peach sorting lines and the application of portable devices to unpicked fruit on the tree are discussed.

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Section: Introductionmentioning

confidence: 99%

Nondestructive Detection of Split Pit in Peaches Using an Acoustic Vibration Method

et al. 2018

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“…This means that care must be taken when employing the previously mentioned method of Muramatsu et al (1996), in which the phase shift was measured to obtain the sound velocity in a fruit sample. A noncontact method involving the use of an LDV was applied to investigate the ripeness of kiwifruit ('Hayward'), peaches ('Akatsuki'), and Japanese pears ('Cyouju') (Muramatsu et al, 1999), and apples ('Ourei'), persimmons ('Fuyu'), and kiwifruit ('Hayward') (Muramatsu et al, 2000) in terms of the phase shift between input and output signals. These studies showed that the phase shift significantly increased as a function of fruit maturation.…”

Section: ) Nondestructive Deformation Methodsmentioning

confidence: 99%

Evaluation of the Internal Quality of Agricultural Products using Acoustic Vibration Techniques

Taniwaki

Sakurai

2010

J. Japan. Soc. Hort. Sci.

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Evaluation of the quality of agricultural products is important because this is the basis for consumer purchases. Consumers may evaluate products on the basis of factors such as fragrance, appearance, and hardness. Texture is one of the most important factors, especially as an indication of freshness. For agricultural products that ripen after harvest, the degree of ripeness is an important factor for optimum edibility. Ripeness evaluation ideally needs to be nondestructive. Various methods have been proposed to evaluate food texture and the nondestructive evaluation of fruit ripeness. This paper reviews such methods and recent developments, focusing on those that use acoustic vibration techniques.

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“…Phase shift was used in predetermined frequencies for some fruits (Muramatsu et al 1999) and damping ratio was used by Terasaki et al (2001b) in their investigation of kiwifruit. Here, for the the first time combination of second resonance frequency, elasticity index, damping ratio and phase shift were used for developing predictive firmness models , although using mass and density of fruit were not so effective.…”

Section: Models Based On Multiple Regression Analysis (Mlr)mentioning

confidence: 99%

“…Ripening-dependent changes in texture of kiwifruit, peach and Japanese pear, also some physiological disorders of the tissue of one kind of citrus in various stages of maturity were investigated by laser Doppler vibrometer and phase shift between input and output signals were compared to destructive data of texture measurement (Muramatsu et al 1999). They used phase shift between the input and output signals in predetermined frequencies and found significant relationship between force-displacement method and phase shifts for the 1200 Hz and 1600 Hz excitation frequencies.…”

Section: Introductionmentioning

confidence: 99%

“…Several authors reported the ability of LDV technique to determine the ripeness changes of pear fruit and other fruits with elasticity index and Muramatsu et al (1999Muramatsu et al ( , 2000 related firmness with phase shift in predetermined frequencies. Thus, the objective of present research is to determine an optimum pear firmness model based on several nondestructive parameters and check the ability of these parameters are extracted of LDV vibration response to track changes of firmness during storage time into multiple and univariate models.…”

Section: Introductionmentioning

confidence: 99%

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Application of vibration response technique for the firmness evaluation of pear fruit during storage

et al. 2012

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Storage conditions of pear affect its subsequent softening process and shelf life. Measurements of firmness have traditionally been carried out according to the Magness Taylor (MT) procedure; using a texture analyzer or penetrometer in reference texture tests. In this study, a nondestructive method using Laser Doppler vibrometer (LDV) technology was used to estimate texture firmness of pears. This technique was employed to detect responses to imposed vibration of intact fruit using a shaker. Vibration transmitted through the fruit to the upper surface was measured by LDV. A fast Fourier transform algorithm was used to process response signals and the desired results were extracted. Multiple Linear Regression models using fruit density and four parameters obtained from modal tests showed better correlation (R 2 00.803) with maximum force in Magness Taylor test compared to the models that used only modal parameters (R 2 00.798). The best polynomial regression models for pear firmness were based on elasticity index (EI) and damping ratio (η) with R 2 00.71 and R 2 0 0.64, respectively. This study shows the capability of the LDV technique and the vibration response data for predicting ripeness and modeling pear firmness and the significant advantage for commercially classifying of pears based on consumer demands.

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Evaluation of fruit tissue texture and internal disorders by laser Doppler detection

Cited by 34 publications

References 8 publications

Nondestructive Detection of Split Pit in Peaches Using an Acoustic Vibration Method

Nondestructive Detection of Split Pit in Peaches Using an Acoustic Vibration Method

Evaluation of the Internal Quality of Agricultural Products using Acoustic Vibration Techniques

Application of vibration response technique for the firmness evaluation of pear fruit during storage

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