Online assessment of pear firmness by acoustic vibration analysis

Ding, Chengqiao; Wu, Hua‐Lin; Feng, Zhe; Wang, Dachen; Li, Weihao; Cui, Di

doi:10.1016/j.postharvbio.2019.111042

Cited by 28 publications

(9 citation statements)

References 24 publications

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“…[53], tarafından üretilen indeks ile çift frekans indeksi karşılaştırıldığında, çift frekans indeksinin doğruluk sınıflandırılmasının daha yüksek olduğu belirlenmiştir. Cuiguan çeşidi armutların sertliğini incelemek için LDV ile çevrimiçi analiz yöntemi kullanılan bir çalışmada, titreşim parametresi olarak tepe değeri (A), f 2 , yarım yükseklikte tepe genişliği (w), tepe alanı (S), EI değeri ve sertlik katsayısı (SC) seçilmiş ve armut sertliği için duyusal değerlendirme sonuçlarına göre farklı sınıflandırma modelleri oluşturulmuştur [54]. [59] sonraki yılda yaptıkları çalışmada, karpuzun meyve eti sertliğini lazer Doppler yöntemiyle incelerken, genlik spektrumu ve faz spektrumunu kısmi en küçük kareler ve aşamalı çoklu doğrusal regresyon analizleriyle değerlendirmişlerdir.…”

Section: Lazer Doppler Titreşim (Ldv) Yöntemi (Laser Doppler Vibration Method)unclassified

Gıda Analizlerinde Hasarsız Akustik Yöntemlerin Kullanımı

Odabaş

Çakmak

2021

Harran Üniversitesi Mühendislik Dergisi

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Gıda ürünlerin kalitesinin değerlendirilmesinde hasar veren gıda analiz yöntemlerine alternatif olarak geliştirilen ve hasar vermeyen spektroskopik ve kromatografik tekniklerin yanı sıra, mekanik yöntemlerin kullanımının son yıllarda arttığı görülmektedir. Bu teknikler arasında yer alan akustik ve ultrasonik tekniklerin özellikle büyük hacimli gıdaların kalitesinin değerlendirilmesinde kullanımı ile analiz sırasında örneklerin kaybının engellenebileceği ve bu şekilde ekonomik bir kazanç sağlanacağı öngörülmektedir. Akustik teknikler, büyüklük, hacim, şekil ve doku fark etmeksizin birçok gıdanın sertlik, iç kusur, olgunluğunun belirlenmesinde ve gıdaların seçilen kalite özelliklerine göre sınıflandırılmasında başarıyla kullanılabilmektedir. Bu derleme çalışmasında ağırlıklı olarak meyve ve sebzelerin kalitesinin incelenmesinde kullanılan akustik teknikler, lazer Doppler titreşim ve ultrasonik yöntemler incelenmiş olup, farklı gıda gruplarında bu tekniklerin kullanımıyla elde edilen sonuçlar detaylı olarak kıyaslanmıştır.

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Section: Lazer Doppler Titreşim (Ldv) Yöntemi (Laser Doppler Vibration Method)unclassified

Gıda Analizlerinde Hasarsız Akustik Yöntemlerin Kullanımı

Odabaş

Çakmak

2021

Harran Üniversitesi Mühendislik Dergisi

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“…Three destructive firmness indices were extracted from the Force-Deformation curve (F-D curve), which were stiffness (Stif, which is the slope of the curve before the rupture point), MT firmness (maximum force), and flesh firmness (FF, which is the mean force from 2 to 8 mm) (Figure 4). The average values of each index were calculated and used in the following analysis [4] .…”

Section: Firmness Measurementmentioning

confidence: 99%

“…In terms of storage, firmness helps to select the proper storage temperature and time. For the sale, firmness is important to evaluate the taste and freshness of fruit, which deeply affect consumer purchasing behaviors [3,4] .…”

Section: Introduction mentioning

confidence: 99%

Detection of apple firmness with a novel loudspeaker-based excitation device

Ding¹,

Wang²,

Feng³

et al. 2022

International Journal of Agricultural and Biological Engineering

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Firmness is one of the important indices to evaluate the internal quality of fruit. In this study, a noncontact loudspeaker-based detection system was developed to evaluate apple firmness. The structural parameters of the excitation device were modified in the single-factor experiments, and the best combination of structural parameters was that the inner diameter of the gasket was 40 mm; the distance between fruit surface and loudspeaker was 95 mm. Besides, the proper posture style was that the apple was placed with its stem upward. After the modification of the Laser Doppler Vibrometer (LDV) method, the vibration response signals of 48 apples were measured to establish the firmness prediction model. The results showed that the better prediction performance of stiffness was obtained in multiple models. The Back Propagation Neural Network (BPNN) model had the best prediction performance by using parameters of elasticity index (EI), the peak value at the second resonance frequency f 2 (A 2 ), and peak area S, with a correlation coefficient of prediction (r p ) of 0.914; root mean square error of prediction (RMSEP) of 0.491 N/mm. Therefore, the proposed detection system is feasible to nondestructively detect apple firmness, which has the potential to be applied in online detection.

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“…With the increasing demand for rapid and nondestructive detection of fruit quality, a series of prototypes based F I G U R E 1 1 On-line fruit firmness detection systems: (a) sensor finger-based system (Peleg, 1999); (b) modified impactor-based system (García-Ramos et al, 2003); (c) pneumatic head-based system (Crisosto et al, 2007); (Khalifa et al, 2011); (d) loudspeaker-based system (Ding et al, 2020) on acoustic vibration technology were developed for online applications (Huarng et al, 1993;Ruiz-Altisent, Lleó & Riquelme, 2006). Generally, the excitation device and the detection sensor were installed independently in a conveyor line to realize on-line detection.…”

Section: Applications For On-line Fruit Quality Evaluationmentioning

confidence: 99%

“…Recently, Ding et al. (2020) designed an on‐line detection system to inspect “Cuiguan” pear firmness (Figure 11d). The system was mostly made of a close‐loop conveyor, a microphone, a loudspeaker, an LDV, and analysis software.…”

Section: Applications For On‐line Fruit Quality Evaluationmentioning

confidence: 99%

Acoustic vibration technology: Toward a promising fruit quality detection method

Ding

Feng

Wang

et al. 2021

Comp Rev Food Sci Food Safe

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Understanding fruit quality is an effective way to reduce fruit loss and waste by providing proper strategies for fruit processing and management. Various noninvasive technologies have been developed for assessing fruit quality. Among them, acoustic vibration technology has received considerable attention from academics. As the fruit ripens, the physical and biochemical diversities of fruit cell lead to changes in the vibration characteristics of the fruit, which verified the feasibility of assessing fruit firmness by acoustic vibration technology from the microscopic view. Besides, the acoustic and vibration theories also provided the theoretical basis for this technology. The measurement system was mainly consisted of excitation devices, detection sensors, and signal processing modules. By using different excitation methods and devices, the fruit could demonstrate a free or forced vibration. The response signals of fruit were influenced by detection methods and sensors. To meet the requirement of high‐throughput detection, noncontact excitation devices and detection sensors were more suitable for on‐line applications. In addition, the relative locations of excitation and detection points and the posture style of fruit also had an impact on the measurement results, which should be determined before the test. Moreover, the proper data analysis method was equally important to extract potential parameters to improve the performance of prediction models. This paper provided a comprehensive overview concerning the principle, system composition, data analysis, and on‐line applications of acoustic vibration technology, and discussed the perspectives of future trends to promote the intensive study and further extension of this technology.

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Online assessment of pear firmness by acoustic vibration analysis

Cited by 28 publications

References 24 publications

Gıda Analizlerinde Hasarsız Akustik Yöntemlerin Kullanımı

Gıda Analizlerinde Hasarsız Akustik Yöntemlerin Kullanımı

Detection of apple firmness with a novel loudspeaker-based excitation device

Acoustic vibration technology: Toward a promising fruit quality detection method

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