Laser Doppler vibrometer analysis of changes in elastic properties of ripening ‘La France’ pears after postharvest storage

Terasaki, S.; Sakurai, Naoki; Żebrowski, Jacek; Murayama, Hideki; Yamamoto, Ryōichi; Nevins, Donald J.

doi:10.1016/j.postharvbio.2006.06.007

Cited by 43 publications

(27 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The results of an ANOVA analysis of the non-destructive parameters are shown in Table 6. This finding agreed with the result reported by Terasaki et al (2006) and Taniwaki et al (2009b) that the changes in EI of 'La France' pear after storage time decreased and showed a bi-phasic decay. In addition, the declination of elasticity index and growth of damping ratio after harvest reflects metabolic and related structural changes in the fruit, mostly in cell walls (Terasaki et al 2001b) that are responsible for fruit softening and ripeness after harvest.…”

Section: Effect Of Storage Time: Analysis Of Variancesupporting

confidence: 93%

“…Also, factor η correlated well with soluble solids content. Terasaki et al (2006) measured the elasticity index of pears in different storage periods at low temperature (1°C) and showed the correlation coefficients between flesh firmness, measured by a conventional probe method and the elastic index was significantly high. Also, correlation between the elasticity indexes of apple samples with Magness Taylor firmness has been obtained by Motomura et al (2004).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

et al. 2012

View full text Add to dashboard Cite

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.

show abstract

Section: Effect Of Storage Time: Analysis Of Variancesupporting

confidence: 93%

Section: Introductionmentioning

confidence: 99%

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

et al. 2012

View full text Add to dashboard Cite

show abstract

“…This method has been developed to estimate fruit firmness . The f 2 frequency has also been used to evaluate flesh firmness and/or optimal ripeness of fruit, including melons (Taniwaki et al, 2009c, pears Oveisi et al, 2014;Taniwaki et al, 2009b;Terasaki et al, 2006), persimmons (Taniwaki et al, 2009a), kiwifruits (Terasaki et al, 2013), watermelons (Abbaszadeh et al, 2015), and grapes (Takahashi et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2018

Self Cite

View full text Add to dashboard Cite

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.

show abstract

“…When fruit is subjected to vibrations, resonances occur at specific frequencies within the fruit, and the second resonant frequency has been shown to be closely related to flesh firmness . Recent research showed that fruit resonance could be nondestructively measured using a laser Doppler vibrometer (LDV), and LDVs have been used to study the ripening of fruit (Muramatsu et al, 1997(Muramatsu et al, , 1999Murayama et al, 2006;Terasaki et al, 2006). Because the second resonant frequency declines as fruit size increases, the elasticity index, which minimizes the effect of fruit weight, is used as an indicator of flesh firmness (Cooke, 1972;Terasaki et al, 2001).…”

Section: Introductionmentioning

confidence: 99%

Improved Accuracy in Determining Optimal Harvest Time for Pitaya (Hylocereus undatus) Using the Elasticity Index

Fukuda

Sakurai

Utsunomiya

2013

J. Japan. Soc. Hort. Sci.

Self Cite

View full text Add to dashboard Cite

This study was conducted to determine whether the optimal harvest time of pitaya (Hylocereus undatus) could be identified more accurately using the elasticity index as determined by a nondestructive resonant-vibration method. Seven-year-old pitaya grown in beds filled with sand in an unheated greenhouse were used, and pollinated fruit in July (Jul.-PF) and September (Sep.-PF) were harvested at intervals of 4 days during days 20-36 or 20-40 days, respectively, after anthesis. The second resonant frequency, the elasticity index, and flesh firmness decreased with ripening; however, values for Jul.-PF decreased faster than those for Sep.-PF. During the final harvest time, both groups of pollinated fruits had similar values for second resonant frequency (330 Hz), the elasticity index (60 × 10 5 ), and flesh firmness (7 N·cm −2 ). The a-value of peel color for Jul.-PF and Sep.-PF increased rapidly during days 24-32 and 28-36, respectively, after anthesis and thereafter showed almost constant values. Total sugar content in Jul.-PF increased rapidly until 28 days after anthesis and then increased slightly. Total sugar content in Sep.-PF increased later than in Jul.-PF. Organic acid in Jul.-PF and Sep.-PF decreased rapidly until 28 and 36 days, respectively, after anthesis and thereafter decreased slowly. In Sep.-PF that were harvested at the optimal time, the second resonant frequency declined as fruit size increased, but the elasticity index was not affected by fruit size. High positive correlations were found among the second resonant frequency, the elasticity index, and flesh firmness in both groups of pollinated fruit. Considering a comprehensive suite of parameters including pulp rate, peel color, sugar, organic acid, flesh firmness, and occurrence of cracking, the optimal harvest time was estimated to be 36 and 40 days after anthesis for Jul.-PF and Sep.-PF, respectively, and the elasticity index of fruit at optimal harvest time was 62 × 10 5 and 73 × 10 5 , respectively. This study showed that the optimal harvest time of pitaya could be determined more accurately by measuring the elasticity index of on-tree fruit.

show abstract

Laser Doppler vibrometer analysis of changes in elastic properties of ripening ‘La France’ pears after postharvest storage

Cited by 43 publications

References 29 publications

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

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

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

Improved Accuracy in Determining Optimal Harvest Time for Pitaya (Hylocereus undatus) Using the Elasticity Index

Contact Info

Product

Resources

About