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A Review on the Commonly Used Methods for Analysis of Physical Properties of Food Materials. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12042004] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
The chemical composition of any food material can be analyzed well by employing various analytical techniques. The physical properties of food are no less important than chemical composition as results obtained from authentic measurement data are able to provide detailed information about the food. Several techniques have been used for years for this purpose but most of them are destructive in nature. The aim of this present study is to identify the emerging techniques that have been used by different researchers for the analysis of the physical characteristics of food. It is highly recommended to practice novel methods as these are non-destructive, extremely sophisticated, and provide results closer to true quantitative values. The physical properties are classified into different groups based on their characteristics. The concise view of conventional techniques mostly used to analyze food material are documented in this work.
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Liu Y, Cai M, Zhang W, Feng W, Sun X, Zhang Y, Zhou H. Feasibility of non‐destructive evaluation for apple crispness based on portable acoustic signal. Int J Food Sci Technol 2021. [DOI: 10.1111/ijfs.14861] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Yang Liu
- School of Biology and Food Engineering Changshu Institute of TechnologyJiangsu Province No. 99 Nan San Huan Road (East Lake Campus) Changshu City215500China
- College of Chemical and Pharmaceutical Engineering Jilin Institute of Chemical Technology No. 45 Chengde Road, Longtan District Jilin132022China
| | - Mingjin Cai
- School of Biology and Food Engineering Changshu Institute of TechnologyJiangsu Province No. 99 Nan San Huan Road (East Lake Campus) Changshu City215500China
| | - Wangyou Zhang
- School of Biology and Food Engineering Changshu Institute of TechnologyJiangsu Province No. 99 Nan San Huan Road (East Lake Campus) Changshu City215500China
| | - Wanling Feng
- College of Biological and Food Engineering Jilin Institute of Chemical Technology No. 45 Chengde Road, Longtan District Jilin132022China
| | - Xingyuan Sun
- College of Biological and Food Engineering Jilin Institute of Chemical Technology No. 45 Chengde Road, Longtan District Jilin132022China
| | - Yang Zhang
- School of Biology and Food Engineering Changshu Institute of TechnologyJiangsu Province No. 99 Nan San Huan Road (East Lake Campus) Changshu City215500China
| | - Hongli Zhou
- College of Chemical and Pharmaceutical Engineering Jilin Institute of Chemical Technology No. 45 Chengde Road, Longtan District Jilin132022China
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Kim MS, Walters N, Martini A, Joyner HS, Duizer LM, Grygorczyk A. Adapting tribology for use in sensory studies on hard food: The case of texture perception in apples. Food Qual Prefer 2020. [DOI: 10.1016/j.foodqual.2020.103990] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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Adedeji AA, Ekramirad N, Rady A, Hamidisepehr A, Donohue KD, Villanueva RT, Parrish CA, Li M. Non-Destructive Technologies for Detecting Insect Infestation in Fruits and Vegetables under Postharvest Conditions: A Critical Review. Foods 2020; 9:E927. [PMID: 32674380 PMCID: PMC7404779 DOI: 10.3390/foods9070927] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Revised: 07/04/2020] [Accepted: 07/06/2020] [Indexed: 01/06/2023] Open
Abstract
In the last two decades, food scientists have attempted to develop new technologies that can improve the detection of insect infestation in fruits and vegetables under postharvest conditions using a multitude of non-destructive technologies. While consumers' expectations for higher nutritive and sensorial value of fresh produce has increased over time, they have also become more critical on using insecticides or synthetic chemicals to preserve food quality from insects' attacks or enhance the quality attributes of minimally processed fresh produce. In addition, the increasingly stringent quarantine measures by regulatory agencies for commercial import-export of fresh produce needs more reliable technologies for quickly detecting insect infestation in fruits and vegetables before their commercialization. For these reasons, the food industry investigates alternative and non-destructive means to improve food quality. Several studies have been conducted on the development of rapid, accurate, and reliable insect infestation monitoring systems to replace invasive and subjective methods that are often inefficient. There are still major limitations to the effective in-field, as well as postharvest on-line, monitoring applications. This review presents a general overview of current non-destructive techniques for the detection of insect damage in fruits and vegetables and discusses basic principles and applications. The paper also elaborates on the specific post-harvest fruit infestation detection methods, which include principles, protocols, specific application examples, merits, and limitations. The methods reviewed include those based on spectroscopy, imaging, acoustic sensing, and chemical interactions, with greater emphasis on the noninvasive methods. This review also discusses the current research gaps as well as the future research directions for non-destructive methods' application in the detection and classification of insect infestation in fruits and vegetables.
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Affiliation(s)
- Akinbode A. Adedeji
- Department of Biosystems and Agricultural Engineering, University of Kentucky, Lexington, KY 40546, USA; (N.E.); (A.R.); (A.H.); (M.L.)
| | - Nader Ekramirad
- Department of Biosystems and Agricultural Engineering, University of Kentucky, Lexington, KY 40546, USA; (N.E.); (A.R.); (A.H.); (M.L.)
| | - Ahmed Rady
- Department of Biosystems and Agricultural Engineering, University of Kentucky, Lexington, KY 40546, USA; (N.E.); (A.R.); (A.H.); (M.L.)
- Department of Biosystems and Agricultural Engineering, Alexandria University, Alexandria 21526, Egypt
| | - Ali Hamidisepehr
- Department of Biosystems and Agricultural Engineering, University of Kentucky, Lexington, KY 40546, USA; (N.E.); (A.R.); (A.H.); (M.L.)
| | - Kevin D. Donohue
- Department of Electrical and Computer Engineering, University of Kentucky, Lexington, KY 40506, USA; (K.D.D.); (C.A.P.)
| | - Raul T. Villanueva
- Department of Entomology, University of Kentucky, Princeton, KY 42445-0469, USA;
| | - Chadwick A. Parrish
- Department of Electrical and Computer Engineering, University of Kentucky, Lexington, KY 40506, USA; (K.D.D.); (C.A.P.)
| | - Mengxing Li
- Department of Biosystems and Agricultural Engineering, University of Kentucky, Lexington, KY 40546, USA; (N.E.); (A.R.); (A.H.); (M.L.)
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Assessment of acoustic-mechanical measurements for texture of French fries: Comparison of deep-fat frying and air frying. Food Res Int 2020; 131:108947. [DOI: 10.1016/j.foodres.2019.108947] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Revised: 12/18/2019] [Accepted: 12/21/2019] [Indexed: 01/14/2023]
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6
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Liu Y, Zhang T, Zheng M, Liu H, Zhang Y. Relationship between sugar content in sweet potato and vibration acoustic signal eigenvalues. J FOOD PROCESS ENG 2020. [DOI: 10.1111/jfpe.13359] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Yang Liu
- School of Biology and Food EngineeringChangshu Institute of Technology Changshu City Jiangsu Province China
- College of Biological and Food EngineeringJilin Institute of Chemical Technology Longtan District Jilin China
| | - Tong Zhang
- School of Biology and Food EngineeringChangshu Institute of Technology Changshu City Jiangsu Province China
| | - Ming‐Zhu Zheng
- College of Food Science and EngineeringJilin Agricultural University Changchun China
| | - Hui‐Min Liu
- College of Food Science and EngineeringJilin Agricultural University Changchun China
| | - Yang Zhang
- School of Biology and Food EngineeringChangshu Institute of Technology Changshu City Jiangsu Province China
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Lashgari M, Imanmehr A, Tavakoli H. Fusion of acoustic sensing and deep learning techniques for apple mealiness detection. Journal of Food Science and Technology 2020; 57:2233-2240. [PMID: 32431349 DOI: 10.1007/s13197-020-04259-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Revised: 09/22/2019] [Accepted: 01/16/2020] [Indexed: 10/25/2022]
Abstract
Mealiness in apple fruit can occur during storage or because of harvesting in an inappropriate time; it degrades the quality of the fruit and has a considerable role in the fruit industry. In this paper, a novel non-destructive approach for detection of mealiness in Red Delicious apple using acoustic and deep learning techniques was proposed. A confined compression test was performed to assign labels of mealy and non-mealy to the apple samples. The criteria for the assignment were hardness and juiciness of the samples. For the acoustic measurements, a plastic ball pendulum was used as the impact device, and a microphone was installed near the sample to record the impact response. The recorded acoustic signals were converted to images. Two famous pre-trained convolutional neural networks, AlexNet and VGGNet were fine-tuned and employed as classifiers. According to the result obtained, the accuracy of AlexNet and VGGNet for classifying the apples to the two categories of mealy and non-mealy apples was 91.11% and 86.94%, respectively. In addition, the training and classification speed of AlexNet was higher. The results indicated that the suggested method provides an effective and promising tool for assessment of mealiness in apple fruit non-destructively and inexpensively.
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Affiliation(s)
- Majid Lashgari
- Department of Mechanical Engineering of Biosystems, Arak University, Arak, 38156-8-8349 Iran
| | - Abdullah Imanmehr
- Department of Mechanical Engineering of Biosystems, Arak University, Arak, 38156-8-8349 Iran
| | - Hamed Tavakoli
- Department of Mechanical Engineering of Biosystems, Arak University, Arak, 38156-8-8349 Iran
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Zheng Y, Pierce A, Wagner WL, Scheller HV, Mohnen D, Tsuda A, Ackermann M, Mentzer SJ. Analysis of pectin biopolymer phase states using acoustic emissions. Carbohydr Polym 2020; 227:115282. [PMID: 31590860 PMCID: PMC6936603 DOI: 10.1016/j.carbpol.2019.115282] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2019] [Revised: 08/10/2019] [Accepted: 08/31/2019] [Indexed: 11/28/2022]
Abstract
Acoustic emissions are stress or elastic waves produced by a material under external load. Since acoustic emissions are generated from within and transmitted through the substance, the acoustic signature provides insights into the physical and mechanical properties of the material. In this report, we used a constant velocity probe with force and acoustic emission monitoring to investigate the properties of glass phase and gel phase pectin films. In the gel phase films, a constant velocity uniaxial load produced periodic premonitory acoustic emissions with coincident force variations (saw-tooth pattern). SEM images of the gel phase microarchitecture indicated the presence of slip planes. In contrast, the glass phase films demonstrated early acoustic emissions, but effectively no force or acoustic evidence of periodic or premonitory emissions. Microstructural imaging of the glass phase films indicated the presence of early microcracks as well as dense polymerization of the pectin (without evidence of slip planes). We conclude that the water content in the pectin films contributes to not only the physical properties of the films, but also the stick-slip motion observed with constant uniaxial load. Further, acoustic emissions provide a sensitive and practical measure of this mechanical behavior.
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Affiliation(s)
- Yifan Zheng
- Laboratory of Adaptive and Regenerative Biology, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - Aidan Pierce
- Laboratory of Adaptive and Regenerative Biology, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - Willi L Wagner
- Laboratory of Adaptive and Regenerative Biology, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, United States; Department of Diagnostic and Interventional Radiology, Translational Lung Research Center, Univeristy of Heidelberg, Heidelberg, Germany
| | - Henrik V Scheller
- Joint BioEnergy Institute, Emeryville CA and the Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - Debra Mohnen
- Complex Carbohydrate Research Center and Department of Biochemistry and Molecular Biology, University of Georgia, Athens, GA, United States
| | - Akira Tsuda
- Molecular and Integrative Physiological Sciences, Harvard School of Public Health, Boston, MA, United States
| | - Maximilian Ackermann
- Institute of Functional and Clinical Anatomy, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Steven J Mentzer
- Laboratory of Adaptive and Regenerative Biology, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, United States.
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Applications of Non-destructive Technologies for Agricultural and Food Products Quality Inspection. SENSORS 2019; 19:s19040846. [PMID: 30781709 PMCID: PMC6413199 DOI: 10.3390/s19040846] [Citation(s) in RCA: 59] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Revised: 01/19/2019] [Accepted: 01/19/2019] [Indexed: 01/15/2023]
Abstract
The quality and safety of food is an increasing concern for worldwide business. Non-destructive methods (NDM), as a means of assessment and instrumentation have created an esteemed value in sciences, especially in food industries. Currently, NDM are useful because they allow the simultaneous measurement of chemical and physical data from food without destruction of the substance. Additionally, NDM can obtain both quantitative and qualitative data at the same time without separate analyses. Recently, many studies on non-destructive detection measurements of agro-food products and final quality assessment of foods were reported. As a general statement, the future of using NDM for assessing the quality of food and agricultural products is bright; and it is possible to come up with interesting findings through development of more efficient and precise imaging systems like the machine vision technique. The present review aims to discuss the application of different non-destructive methods (NDM) for food quality and safety evaluation.
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Çarşanba E, Duerrschmid K, Schleining G. Assessment of acoustic-mechanical measurements for crispness of wafer products. J FOOD ENG 2018. [DOI: 10.1016/j.jfoodeng.2017.11.006] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Park DJ, Chun YG, Lee SH, Lee SJ, Kim BK. Development of Teeth Probe for Analysis of Correlation between Mechanical and Sensory Properties of Apples. J Texture Stud 2016. [DOI: 10.1111/jtxs.12195] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Dong-June Park
- Korea Food Research Institute; Sungnam 463-746 Republic of Korea
| | - Yong-Gi Chun
- Korea Food Research Institute; Sungnam 463-746 Republic of Korea
| | - Sang-Hoon Lee
- Korea Food Research Institute; Sungnam 463-746 Republic of Korea
| | - Seung-Ju Lee
- Korea Food Research Institute; Sungnam 463-746 Republic of Korea
| | - Bum-Keun Kim
- Korea Food Research Institute; Sungnam 463-746 Republic of Korea
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Liu Y, Sun YH, Yang L, Yu LB, Mao Q, Hou JM, Huang BZ, Liu C. Relationship between Carrot Firmness with Acoustic Signal Characteristics. J FOOD PROCESS ENG 2016. [DOI: 10.1111/jfpe.12384] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Yang Liu
- College of Food Science and Engineering; Jilin University; No. 5333, Xi'An Road Changchun Jilin 130062 China
- College of Biological and Food Engineering, Jilin Institute of Chemical Technology; No. 45 Chengde road, Jilin Jilin 132022 China
| | - Yong-Hai Sun
- College of Food Science and Engineering; Jilin University; No. 5333, Xi'An Road Changchun Jilin 130062 China
| | - Liu Yang
- College of Food Science and Engineering; Jilin University; No. 5333, Xi'An Road Changchun Jilin 130062 China
- College of Biological and Food Engineering; Changchun University of Science and Technology; No.1699 DongHua Street, Changchun, Jilin, 130000 China
| | - Li-Bo Yu
- College of Food Science and Engineering; Jilin University; No. 5333, Xi'An Road Changchun Jilin 130062 China
| | - Qian Mao
- College of Food Science and Engineering; Jilin University; No. 5333, Xi'An Road Changchun Jilin 130062 China
| | - Ju-Min Hou
- College of Food Science and Engineering; Jilin University; No. 5333, Xi'An Road Changchun Jilin 130062 China
| | - Bi-Zhu Huang
- College of Food Science and Engineering; Jilin University; No. 5333, Xi'An Road Changchun Jilin 130062 China
| | - Chao Liu
- College of Food Science and Engineering; Jilin University; No. 5333, Xi'An Road Changchun Jilin 130062 China
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Changes in minimally processed apple tissue with storage time and temperature: mechanical–acoustic analysis and rheological investigation. Eur Food Res Technol 2015. [DOI: 10.1007/s00217-015-2553-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Liu Y, Huang BZ, Sun YH, Chen FY, Yang L, Mao Q, Liu JS, Zheng MZ. Relationship of carrot sensory crispness with acoustic signal characteristics. Int J Food Sci Technol 2015. [DOI: 10.1111/ijfs.12808] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- Yang Liu
- College of Biological and Agricultural Engineering; Jilin University; No. 5988 Renmin Street Changchun 130025 China
- College of Biological and Food Engineering; Jilin Institute of Chemical Technology; No. 45 Chengde road Longtan District Jilin 132022 China
| | - Bi-Zhu Huang
- College of Biological and Agricultural Engineering; Jilin University; No. 5988 Renmin Street Changchun 130025 China
| | - Yong-Hai Sun
- College of Biological and Agricultural Engineering; Jilin University; No. 5988 Renmin Street Changchun 130025 China
| | - Fang-Yuan Chen
- College of Biological and Agricultural Engineering; Jilin University; No. 5988 Renmin Street Changchun 130025 China
| | - Liu Yang
- College of Biological and Agricultural Engineering; Jilin University; No. 5988 Renmin Street Changchun 130025 China
- College of Biological and Food Engineering; Changchun University of Science and Technology; No.1699 DongHua Street Changchun 130000 China
| | - Qian Mao
- College of Biological and Agricultural Engineering; Jilin University; No. 5988 Renmin Street Changchun 130025 China
| | - Jing-Sheng Liu
- College of Food Science and Engineering; Jilin Agricultural University; No. 2999 Xincheng Street Changchun 130018 China
| | - Ming-Zhu Zheng
- College of Food Science and Engineering; Jilin Agricultural University; No. 2999 Xincheng Street Changchun 130018 China
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Aboonajmi M, Jahangiri M, Hassan-Beygi SR. A Review on Application of Acoustic Analysis in Quality Evaluation of Agro-food Products. J FOOD PROCESS PRES 2015. [DOI: 10.1111/jfpp.12444] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Mohammad Aboonajmi
- Department of Agro-technology; College of Abouraihan; University of Tehran; Tehran Iran
| | - Mehdi Jahangiri
- Department of Agro-technology; College of Abouraihan; University of Tehran; Tehran Iran
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Zdunek A, Kozioł A, Pieczywek PM, Cybulska J. Evaluation of the Nanostructure of Pectin, Hemicellulose and Cellulose in the Cell Walls of Pears of Different Texture and Firmness. FOOD BIOPROCESS TECH 2014. [DOI: 10.1007/s11947-014-1365-z] [Citation(s) in RCA: 68] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Gondek E, Jakubczyk E, Herremans E, Verlinden B, Hertog M, Vandendriessche T, Verboven P, Antoniuk A, Bongaers E, Estrade P, Nicolaï BM. Acoustic, mechanical and microstructural properties of extruded crisp bread. J Cereal Sci 2013. [DOI: 10.1016/j.jcs.2013.03.010] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Cybulska J, Zdunek A, Psonka-Antonczyk KM, Stokke BT. The relation of apple texture with cell wall nanostructure studied using an atomic force microscope. Carbohydr Polym 2013; 92:128-37. [DOI: 10.1016/j.carbpol.2012.08.103] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2012] [Revised: 08/21/2012] [Accepted: 08/26/2012] [Indexed: 11/15/2022]
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