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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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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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Optical Parameters for Using Visible-Wavelength Reflectance or Fluorescence Imaging to Detect Bird Excrements in Produce Fields. APPLIED SCIENCES-BASEL 2019. [DOI: 10.3390/app9040715] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Consumption of produce contaminated with pathogens of fecal origin is the most common source of food borne illnesses. Current practice is to visually survey fields for evidence of fecal contamination, and to exclude problematic areas from harvest. Bird excrement is known to contain human pathogens, and is often not detectable in produce fields using current survey methods. The goal of this project was to identify parameters for optical detection of bird excrements to support development of instruments to be used to supplement existing visual surveys. Under daylight ambient conditions, results suggested that reflectance imaging at around 500–530 nm or 610–640 nm could be used to detect excrements from the three bird species tested. Images were acquired using ad hoc camera parameters; however, normalizing intensities for individual images at 525 nm and using a fixed detection threshold allowed detection of 100% of bird excrements with no false positives against the background that consisted of local soil and fresh romaine and spinach leaves. Similar results were obtained using fluorescence imaging. Fluorescent imaging was accomplished in a darkened room using 405-nm illumination. The largest consistent differences in intensity responses between excrements and the brightest non-excrement object in the background matrix occurred at around 550 nm. Results suggested that using reflectance or fluorescence imaging for detection of bird excrements could be a valuable tool for reducing risks of consuming contaminated produce. One possibility would be to incorporate appropriate reflectance imaging capabilities in drones under the control of the individuals currently conducting field surveys.
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Recent developments in hyperspectral imaging for assessment of food quality and safety. SENSORS 2014; 14:7248-76. [PMID: 24759119 PMCID: PMC4029639 DOI: 10.3390/s140407248] [Citation(s) in RCA: 125] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/25/2013] [Revised: 04/07/2014] [Accepted: 04/08/2014] [Indexed: 11/16/2022]
Abstract
Hyperspectral imaging which combines imaging and spectroscopic technology is rapidly gaining ground as a non-destructive, real-time detection tool for food quality and safety assessment. Hyperspectral imaging could be used to simultaneously obtain large amounts of spatial and spectral information on the objects being studied. This paper provides a comprehensive review on the recent development of hyperspectral imaging applications in food and food products. The potential and future work of hyperspectral imaging for food quality and safety control is also discussed.
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