PH—Postharvest Technology

Özarslan, Cengiz

doi:10.1006/bioe.2002.0105

Cited by 115 publications

(11 citation statements)

References 12 publications

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“…Lowest data of bulk density was 0.58g cm-3 for Lb and the highest was 0.69 for Lg. The physical parameters variability was reported also by [15][16][17][18][19][20][21][22][23][24][25], for Mazafati and 'Dairi' cultivars from Tehran.…”

Section: Thickness (Mm) Arjmentioning

confidence: 86%

“…The true density (ρT) is determined by the water displacement method [20] which the volume of water displaced was estimated by immersing the weighed quantity of fruits in water. Whereas Bulk density ρ b is the mass (M) of a group of individual fruit occupied a box of known volume (V) [21]. Fruits were poured into a standard container without compaction and afterward the content was weighed.…”

Section: Bulk and True Density And Porositymentioning

confidence: 99%

“…Bulk and true density respectively were expressed on (g cm -3 ) and calculated as (8) equation Porosity is the percentage of air between the fruits compared to a unit volume of fruit [21]; it was calculated using equation ( 9)…”

Section: Bulk and True Density And Porositymentioning

confidence: 99%

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Effect of pre-harvest practices on physical and colorimetric characteristics of date fruit (cv. ‘Aziza Bouzid’) in Figuig oasis

et al. 2022

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Dates represent a very important energy source that contains a wide range of functional, nutritional, bioactive, and aromatic components. Dates characteristics have been widely studied but none has been conducted on the pre-harvest factors responsible for the quality variation. The aim of this study is to evaluate the effect of pre-harvest practices on physical and colorimetric characteristics. The analyses were conducted on twelve samples of ‘Aziza Bouzid’ cultivar and collected at Tmar stage from Figuig oasis. Results obtained for physical parameters show a significant variation between different samples. Weight of ‘Aziza Bouzid’ varied from 5.44 g to 9.04 g. Geometric mean diameter and Porosity varied from 13.08 mm to 17.01 mm and 31.88 % to 42.3 % respectively for ‘Aziza Bouzid’. Highest Chroma and hue values registered for ‘Aziza Bouzid’ were 38.14 and 83.22 and the lowest were 21.1 and 67.15. This study contributes to develop good agricultural practices, help improve the quality and increase the quantity of Moroccan date production.

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Section: Thickness (Mm) Arjmentioning

confidence: 86%

Section: Bulk and True Density And Porositymentioning

confidence: 99%

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Effect of pre-harvest practices on physical and colorimetric characteristics of date fruit (cv. ‘Aziza Bouzid’) in Figuig oasis

et al. 2022

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“…Erik meyvelerinin hasattan hemen sonra başlangıç nem içeriklerin belirlenmesi için; örnekler tartılarak 105±1 o C sıcaklıktaki etüvde 24 saat bekletilmiştir (Suthar ve Das 1996, Özarslan, 2002. Daha sonra örnekler tekrar tartılarak kuru ağırlıkları belirlenmiş ve aşağıdaki eşitlik yardımıyla kuru baza göre nem içeriği hesaplanmıştır:…”

Section: Denemelerde Kullanılan öLçüm Araçlarıunclassified

“…Boşluklu hacim ağırlığını belirlemek için; 2000 ml'lik kap içerisine 150 mm sabit yükseklikten bırakılan meyvelerin tartımı ile gerçekleştirilmiştir (Suthar ve Das,1996, Özarslan, 2002.…”

Section: Denemelerde Kullanılan öLçüm Araçlarıunclassified

Üç Farkli Hasat Zamaninda Eri̇k Meyvesi̇ndeki̇ Bazi Özelli̇kleri̇n Beli̇rlenmesi̇

Sezer

Çetin

2020

Anadolu Journal of Agricultural Sciences

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Bu çalışmada, erik meyvesinin üç farklı hasat zamanındaki nem içeriği, uzunluk, genişlik, kalınlık, geometrik ortalama çap değerleri, kütle, boşluklu hacim ağırlığı, meyve yoğunluğu, porozite, projeksiyon alanı, daldan kopma kuvveti ve farklı düşme yüksekliklerden farklı yüzeylere düşme sonucu eriklerdeki zedelenme durumları belirlenmiştir. Çalışmanın sonuçlarına göre, ilk hasat zamanından son hasat zamanına kadar erik meyvesinin boyut özelliklerin, geometrik ortalama çap değerinin, meyve kütlesinin, küresellik ve projeksiyon alanının arttığı tespit edilmiştir.

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Prediction of mechanical extraction oil yield of new sunflower hybrids: artificial neural network model

et al. 2021

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BACKGROUND: Sunflower seeds are in the top five most abundant oilseeds in the world, as well as sunflower oil in the edible oils group. Recently, increasing attention has been paid to cold-pressed sunflower oil because less processing is involved and no solvent is used. The present study was carried out to investigate dimensions (length, width, thickness), firmness, general (moisture content and hull content, mass of 1000 seeds), gravimetric (true and bulk density, porosity) and geometric characteristics (equivalent diameter, surface area, seed volume, sphericity) of 20 new sunflower hybrid seeds. Steps to determine most of these parameters are quite simple and easy since the process does not require long time or special equipment.RESULTS: Principal component analysis and cluster analysis confirmed differences in the mentioned characteristics between oily and confectionary sunflower hybrid seeds. One of the major differences between two groups of samples was in extraction oil yield. Mechanical extraction oil yield of the oily hybrid seeds was significantly (P < 0.05) higher (from 68.72 ± 4.21% to 75.61 ± 1.99%) compared to confectionary hybrids (from 20.10 ± 2.82% to 39.91 ± 6.23%). Extraction oil yield values are known only after oil extraction. CONCLUSION: Knowledge of the extraction oil yield value before the mechanical extraction enables better management of the process. By application of the artificial neural network approach, an optimal neural network model was developed. The developed model showed a good generalization capability to predict the mechanical extraction oil yield of new sunflower hybrids based on the experimental data, which was a main goal of this paper.

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PH—Postharvest Technology

Cited by 115 publications

References 12 publications

Effect of pre-harvest practices on physical and colorimetric characteristics of date fruit (cv. ‘Aziza Bouzid’) in Figuig oasis

Effect of pre-harvest practices on physical and colorimetric characteristics of date fruit (cv. ‘Aziza Bouzid’) in Figuig oasis

Üç Farkli Hasat Zamaninda Eri̇k Meyvesi̇ndeki̇ Bazi Özelli̇kleri̇n Beli̇rlenmesi̇

Prediction of mechanical extraction oil yield of new sunflower hybrids: artificial neural network model

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