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Tang T, Zhang M, Mujumdar AS. Intelligent detection for fresh-cut fruit and vegetable processing: Imaging technology. Compr Rev Food Sci Food Saf 2022; 21:5171-5198. [PMID: 36156851 DOI: 10.1111/1541-4337.13039] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 07/31/2022] [Accepted: 08/23/2022] [Indexed: 01/28/2023]
Abstract
Fresh-cut fruits and vegetables are healthy and convenient ready-to-eat foods, and the final quality is related to the raw materials and each step of the cutting unit. It is necessary to integrate suitable intelligent detection technologies into the production chain so as to inspect each operation to ensure high product quality. In this paper, several imaging technologies that can be applied online to the processing of fresh-cut products are reviewed, including: multispectral/hyperspectral imaging (M/HSI), fluorescence imaging (FI), X-ray imaging (XRI), ultrasonic imaging, thermal imaging (TI), magnetic resonance imaging (MRI), terahertz imaging, and microwave imaging (MWI). The principles, advantages, and limitations of these imaging technologies are critically summarized. The potential applications of these technologies in online quality control and detection during the fresh-cut processing are comprehensively discussed, including quality of raw materials, contamination of cutting equipment, foreign bodies mixed in the processing, browning and microorganisms of the cutting surface, quality/shelf-life evaluation, and so on. Finally, the challenges and future application prospects of imaging technology in industrialization are presented.
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Affiliation(s)
- Tiantian Tang
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, China.,Jiangsu Province International Joint Laboratory on Fresh Food Smart Processing and Quality Monitoring, Jiangnan University, Wuxi, Jiangsu, China
| | - Min Zhang
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, China.,China General Chamber of Commerce Key Laboratory on Fresh Food Processing & Preservation, Jiangnan University, Wuxi, Jiangsu, China
| | - Arun S Mujumdar
- Department of Bioresource Engineering, Macdonald Campus, McGill University, Montreal, Quebec, Canada
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2
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Müller-Maatsch J, van Ruth SM. Handheld Devices for Food Authentication and Their Applications: A Review. Foods 2021; 10:2901. [PMID: 34945454 PMCID: PMC8700508 DOI: 10.3390/foods10122901] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 11/18/2021] [Accepted: 11/21/2021] [Indexed: 12/18/2022] Open
Abstract
This review summarises miniaturised technologies, commercially available devices, and device applications for food authentication or measurement of features that could potentially be used for authentication. We first focus on the handheld technologies and their generic characteristics: (1) technology types available, (2) their design and mode of operation, and (3) data handling and output systems. Subsequently, applications are reviewed according to commodity type for products of animal and plant origin. The 150 applications of commercial, handheld devices involve a large variety of technologies, such as various types of spectroscopy, imaging, and sensor arrays. The majority of applications, ~60%, aim at food products of plant origin. The technologies are not specifically aimed at certain commodities or product features, and no single technology can be applied for authentication of all commodities. Nevertheless, many useful applications have been developed for many food commodities. However, the use of these applications in practice is still in its infancy. This is largely because for each single application, new spectral databases need to be built and maintained. Therefore, apart from developing applications, a focus on sharing and re-use of data and calibration transfers is pivotal to remove this bottleneck and to increase the implementation of these technologies in practice.
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Affiliation(s)
- Judith Müller-Maatsch
- Wageningen Food Safety Research, Wageningen University and Research, P.O. Box 230, 6700 EV Wageningen, The Netherlands;
| | - Saskia M. van Ruth
- Wageningen Food Safety Research, Wageningen University and Research, P.O. Box 230, 6700 EV Wageningen, The Netherlands;
- Food Quality and Design, Wageningen University and Research, P.O. Box 17, 6700 AA Wageningen, The Netherlands
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Sueker M, Stromsodt K, Gorji HT, Vasefi F, Khan N, Schmit T, Varma R, Mackinnon N, Sokolov S, Akhbardeh A, Liang B, Qin J, Chan DE, Baek I, Kim MS, Tavakolian K. Handheld Multispectral Fluorescence Imaging System to Detect and Disinfect Surface Contamination. SENSORS 2021; 21:s21217222. [PMID: 34770529 PMCID: PMC8588002 DOI: 10.3390/s21217222] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 10/25/2021] [Accepted: 10/27/2021] [Indexed: 12/14/2022]
Abstract
Contamination inspection is an ongoing concern for food distributors, restaurant owners, caterers, and others who handle food. Food contamination must be prevented, and zero tolerance legal requirements and damage to the reputation of institutions or restaurants can be very costly. This paper introduces a new handheld fluorescence-based imaging system that can rapidly detect, disinfect, and document invisible organic residues and biofilms which may host pathogens. The contamination, sanitization inspection, and disinfection (CSI-D) system uses light at two fluorescence excitation wavelengths, ultraviolet C (UVC) at 275 nm and violet at 405 nm, for the detection of organic residues, including saliva and respiratory droplets. The 275 nm light is also utilized to disinfect pathogens commonly found within the contaminated residues. Efficacy testing of the neutralizing effects of the ultraviolet light was conducted for Aspergillus fumigatus, Streptococcus pneumoniae, and the influenza A virus (a fungus, a bacterium, and a virus, respectively, each commonly found in saliva and respiratory droplets). After the exposure to UVC light from the CSI-D, all three pathogens experienced deactivation (> 99.99%) in under ten seconds. Up to five-log reductions have also been shown within 10 s of UVC irradiation from the CSI-D system.
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Affiliation(s)
- Mitchell Sueker
- Biomedical Engineering Program, University of North Dakota, Grand Forks, ND 58202, USA; (M.S.); (K.S.); (H.T.G.); (B.L.)
| | - Kristen Stromsodt
- Biomedical Engineering Program, University of North Dakota, Grand Forks, ND 58202, USA; (M.S.); (K.S.); (H.T.G.); (B.L.)
| | - Hamed Taheri Gorji
- Biomedical Engineering Program, University of North Dakota, Grand Forks, ND 58202, USA; (M.S.); (K.S.); (H.T.G.); (B.L.)
| | - Fartash Vasefi
- SafetySpect Inc., 4200 James Ray Dr., Grand Forks, ND 58202, USA; (F.V.); (N.M.); (S.S.); (A.A.)
| | - Nadeem Khan
- School of Medicine and Health Sciences, University of North Dakota, Grand Forks, ND 58202, USA; (N.K.); (T.S.); (R.V.)
| | - Taylor Schmit
- School of Medicine and Health Sciences, University of North Dakota, Grand Forks, ND 58202, USA; (N.K.); (T.S.); (R.V.)
| | - Rangati Varma
- School of Medicine and Health Sciences, University of North Dakota, Grand Forks, ND 58202, USA; (N.K.); (T.S.); (R.V.)
| | - Nicholas Mackinnon
- SafetySpect Inc., 4200 James Ray Dr., Grand Forks, ND 58202, USA; (F.V.); (N.M.); (S.S.); (A.A.)
| | - Stanislav Sokolov
- SafetySpect Inc., 4200 James Ray Dr., Grand Forks, ND 58202, USA; (F.V.); (N.M.); (S.S.); (A.A.)
| | - Alireza Akhbardeh
- SafetySpect Inc., 4200 James Ray Dr., Grand Forks, ND 58202, USA; (F.V.); (N.M.); (S.S.); (A.A.)
| | - Bo Liang
- Biomedical Engineering Program, University of North Dakota, Grand Forks, ND 58202, USA; (M.S.); (K.S.); (H.T.G.); (B.L.)
| | - Jianwei Qin
- USDA/ARS Environmental Microbial and Food Safety Laboratory, Beltsville Agricultural Research Center, Beltsville, MD 20705, USA; (J.Q.); (D.E.C.); (I.B.); (M.S.K.)
| | - Diane E. Chan
- USDA/ARS Environmental Microbial and Food Safety Laboratory, Beltsville Agricultural Research Center, Beltsville, MD 20705, USA; (J.Q.); (D.E.C.); (I.B.); (M.S.K.)
| | - Insuck Baek
- USDA/ARS Environmental Microbial and Food Safety Laboratory, Beltsville Agricultural Research Center, Beltsville, MD 20705, USA; (J.Q.); (D.E.C.); (I.B.); (M.S.K.)
| | - Moon S. Kim
- USDA/ARS Environmental Microbial and Food Safety Laboratory, Beltsville Agricultural Research Center, Beltsville, MD 20705, USA; (J.Q.); (D.E.C.); (I.B.); (M.S.K.)
| | - Kouhyar Tavakolian
- Biomedical Engineering Program, University of North Dakota, Grand Forks, ND 58202, USA; (M.S.); (K.S.); (H.T.G.); (B.L.)
- Correspondence:
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Inkinen J, Ahonen M, Iakovleva E, Karppinen P, Mielonen E, Mäkinen R, Mannonen K, Koivisto J. Contamination detection by optical measurements in a real-life environment: A hospital case study. JOURNAL OF BIOPHOTONICS 2020; 13:e201960069. [PMID: 31613045 PMCID: PMC7065611 DOI: 10.1002/jbio.201960069] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2019] [Revised: 09/30/2019] [Accepted: 10/06/2019] [Indexed: 05/05/2023]
Abstract
Organic dirt on touch surfaces can be biological contaminants (microbes) or nutrients for those but is often invisible by the human eye causing challenges for evaluating the need for cleaning. Using hyperspectral scanning algorithm, touch surface cleanliness monitoring by optical imaging was studied in a real-life hospital environment. As the highlight, a human eye invisible stain from a dirty chair armrest was revealed manually with algorithms including threshold levels for intensity and clustering analysis with two excitation lights (green and red) and one bandpass filter (wavelength λ = 500 nm). The same result was confirmed by automatic k-means clustering analysis from the entire dirty data of visible light (red, green and blue) and filters 420 to 720 nm with 20 nm increments. Overall, the collected touch surface samples (N = 156) indicated the need for cleaning in some locations by the high culturable bacteria and adenosine triphosphate counts despite the lack of visible dirt. Examples of such locations were toilet door lock knobs and busy registration desk armchairs. Thus, the studied optical imaging system utilizing the safe visible light area shows a promising method for touch surface cleanliness evaluation in real-life environments.
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Affiliation(s)
- Jenni Inkinen
- Aalto University, School of Science, Department of Applied PhysicsComplex Systems and MaterialsAaltoFinland
| | - Merja Ahonen
- Satakunta University of Applied Sciences, Faculty of TechnologyWANDER Nordic Water and Materials InstituteRaumaFinland
| | - Evgenia Iakovleva
- Aalto University, School of Science, Department of Applied PhysicsComplex Systems and MaterialsAaltoFinland
| | - Pasi Karppinen
- Aalto University, School of Science, Department of Applied PhysicsComplex Systems and MaterialsAaltoFinland
| | - Eelis Mielonen
- Aalto University, School of Science, Department of Applied PhysicsComplex Systems and MaterialsAaltoFinland
| | - Riika Mäkinen
- Satakunta University of Applied Sciences, Faculty of TechnologyWANDER Nordic Water and Materials InstituteRaumaFinland
| | - Katriina Mannonen
- Satakunta University of Applied Sciences, Faculty of TechnologyWANDER Nordic Water and Materials InstituteRaumaFinland
| | - Juha Koivisto
- Aalto University, School of Science, Department of Applied PhysicsComplex Systems and MaterialsAaltoFinland
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Shibata M, Chen J, Okada K, Hagiwara T. Detection of Food Residues on Stainless Steel Surfaces Using Fluorescence Fingerprint. FOOD SCIENCE AND TECHNOLOGY RESEARCH 2020. [DOI: 10.3136/fstr.26.389] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Affiliation(s)
- Mario Shibata
- Department of Food Science and Technology, Tokyo University of Marine Science and Technology
| | - Jizhong Chen
- Department of Food Science and Technology, Tokyo University of Marine Science and Technology
| | - Kai Okada
- Department of Food Science and Technology, Tokyo University of Marine Science and Technology
| | - Tomoaki Hagiwara
- Department of Food Science and Technology, Tokyo University of Marine Science and Technology
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6
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Biofilm formation by Salmonella sp. in the poultry industry: Detection, control and eradication strategies. Food Res Int 2019; 119:530-540. [DOI: 10.1016/j.foodres.2017.11.024] [Citation(s) in RCA: 53] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2017] [Revised: 11/06/2017] [Accepted: 11/19/2017] [Indexed: 12/23/2022]
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7
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Bianchi F, Giannetto M, Careri M. Analytical systems and metrological traceability of measurement data in food control assessment. Trends Analyt Chem 2018. [DOI: 10.1016/j.trac.2018.07.024] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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9
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Distinguishing Bovine Fecal Matter on Spinach Leaves Using Field Spectroscopy. APPLIED SCIENCES-BASEL 2016. [DOI: 10.3390/app6090246] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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10
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Everard CD, Kim MS, Lee H. Assessment of a handheld fluorescence imaging device as an aid for detection of food residues on processing surfaces. Food Control 2016. [DOI: 10.1016/j.foodcont.2015.05.030] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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11
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Lefcourt AM, Beck EA, Lo YM, Kim MS. Using Hyperspectral Fluorescence Spectra of Deli Commodities to Select Wavelengths for Surveying Deli Food Contact Surfaces. ACTA ACUST UNITED AC 2015. [DOI: 10.5307/jbe.2015.40.2.145] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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12
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Better food safety practices. Food Sci Nutr 2015; 3:169-71. [PMID: 25987990 PMCID: PMC4431783 DOI: 10.1002/fsn3.218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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13
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Beck EA, Lefcourt AM, Lo YM, Kim MS. Use of a portable fluorescence imaging device to facilitate cleaning of deli slicers. Food Control 2015. [DOI: 10.1016/j.foodcont.2014.11.031] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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14
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Tan SYE, Chew SC, Tan SYY, Givskov M, Yang L. Emerging frontiers in detection and control of bacterial biofilms. Curr Opin Biotechnol 2013; 26:1-6. [PMID: 24679251 DOI: 10.1016/j.copbio.2013.08.002] [Citation(s) in RCA: 70] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2013] [Revised: 08/02/2013] [Accepted: 08/07/2013] [Indexed: 01/28/2023]
Abstract
Bacteria form surface-attached biofilm communities in nature. In contrast to free-living cells, bacterial cells within biofilms resist sanitizers and antimicrobials. While building biofilms, cells physiologically adapt to sustain the otherwise lethal impacts of a variety of environmental stress conditions. In this development, the production and embedding of cells in extracellular polymeric substances plays a key role. Biofilm bacteria can cause a range of problems to food processing including reduced heat-cold transfer, clogging water pipelines, food spoilage and they may cause infections among consumers. Recent biofilm investigations with the aim of potential control approaches include a combination of bacterial genetics, systems biology, materials and mechanic engineering and chemical biology.
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Affiliation(s)
- Seth Yang-En Tan
- Singapore Centre on Environmental Life Sciences Engineering (SCELSE), Nanyang Technological University, Singapore 637551, Singapore; Singapore Centre on Environmental Life Sciences Engineering (SCELSE), Interdisciplinary Graduate School, Nanyang Technological University, Singapore 637551, Singapore
| | - Su Chuen Chew
- Singapore Centre on Environmental Life Sciences Engineering (SCELSE), Nanyang Technological University, Singapore 637551, Singapore; Singapore Centre on Environmental Life Sciences Engineering (SCELSE), Interdisciplinary Graduate School, Nanyang Technological University, Singapore 637551, Singapore
| | - Sean Yang-Yi Tan
- Singapore Centre on Environmental Life Sciences Engineering (SCELSE), Nanyang Technological University, Singapore 637551, Singapore; School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore
| | - Michael Givskov
- Singapore Centre on Environmental Life Sciences Engineering (SCELSE), Nanyang Technological University, Singapore 637551, Singapore; Costerton Biofilm Center, Faculty of Health Sciences, University of Copenhagen, 2200 København N, Denmark
| | - Liang Yang
- Singapore Centre on Environmental Life Sciences Engineering (SCELSE), Nanyang Technological University, Singapore 637551, Singapore; School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore.
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15
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Lefcourt AM, Wiederoder MS, (Tong) Liu N, Kim MS, Martin Lo Y. Development of a portable hyperspectral imaging system for monitoring the efficacy of sanitation procedures in food processing facilities. J FOOD ENG 2013. [DOI: 10.1016/j.jfoodeng.2013.01.043] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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