Literature DB >> 22823350

Application of hyperspectral imaging in food safety inspection and control: a review.

Yao-Ze Feng1, Da-Wen Sun.   

Abstract

Food safety is a great public concern, and outbreaks of food-borne illnesses can lead to disturbance to the society. Consequently, fast and nondestructive methods are required for sensing the safety situation of produce. As an emerging technology, hyperspectral imaging has been successfully employed in food safety inspection and control. After presenting the fundamentals of hyperspectral imaging, this paper provides a comprehensive review on its application in determination of physical, chemical, and biological contamination on food products. Additionally, other studies, including detecting meat and meat bone in feedstuffs as well as organic residue on food processing equipment, are also reported due to their close relationship with food safety control. With these applications, it can be demonstrated that miscellaneous hyperspectral imaging techniques including near-infrared hyperspectral imaging, fluorescence hyperspectral imaging, and Raman hyperspectral imaging or their combinations are powerful tools for food safety surveillance. Moreover, it is envisaged that hyperspectral imaging can be considered as an alternative technique for conventional methods in realizing inspection automation, leading to the elimination of the occurrence of food safety problems at the utmost.

Mesh:

Year:  2012        PMID: 22823350     DOI: 10.1080/10408398.2011.651542

Source DB:  PubMed          Journal:  Crit Rev Food Sci Nutr        ISSN: 1040-8398            Impact factor:   11.176


  25 in total

Review 1.  Medical hyperspectral imaging: a review.

Authors:  Guolan Lu; Baowei Fei
Journal:  J Biomed Opt       Date:  2014-01       Impact factor: 3.170

2.  HYPERSPECTRAL AUTOFLUORESCENCE IMAGING OF DRUSEN AND RETINAL PIGMENT EPITHELIUM IN DONOR EYES WITH AGE-RELATED MACULAR DEGENERATION.

Authors:  Yuehong Tong; Tal Ben Ami; Sungmin Hong; Rainer Heintzmann; Guido Gerig; Zsolt Ablonczy; Christine A Curcio; Thomas Ach; R Theodore Smith
Journal:  Retina       Date:  2016-12       Impact factor: 4.256

3.  Characteristics of Xanthosoma sagittifolium roots during cooking, using physicochemical analysis, uniaxial compression, multispectral imaging and low field NMR spectroscopy.

Authors:  Abena Achiaa Boakye; María Gudjónsdóttir; Jacob Lercke Skytte; Ioannis S Chronakis; Faustina Dufie Wireko-Manu; Ibok Oduro
Journal:  J Food Sci Technol       Date:  2017-07-08       Impact factor: 2.701

4.  Optimization of wavelength selection for multispectral image acquisition: a case study of atrial ablation lesions.

Authors:  Huda Asfour; Shuyue Guan; Narine Muselimyan; Luther Swift; Murray Loew; Narine Sarvazyan
Journal:  Biomed Opt Express       Date:  2018-04-16       Impact factor: 3.732

5.  Label-free hyperspectral imaging and quantification methods for surgical margin assessment of tissue specimens of cancer patients.

Authors:  Baowei Fei; Martin T Halicek; Xu Wang; Hongzheng Zhang; James V Little; Kelly R Magliocca; Mihir Patel; Christopher C Griffith; Mark W El-Deiry; Amy Y Chen
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2017-07

6.  Evaluation of Postharvest Senescence of Broccoli via Hyperspectral Imaging.

Authors:  Xiaolei Guo; Yogesh K Ahlawat; Tie Liu; Alina Zare
Journal:  Plant Phenomics       Date:  2022-05-09

7.  Tumor margin assessment of surgical tissue specimen of cancer patients using label-free hyperspectral imaging.

Authors:  Baowei Fei; Guolan Lu; Xu Wang; Hongzheng Zhang; James V Little; Kelly R Magliocca; Amy Y Chen
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2017-02-14

8.  Application of multispectral imaging to determine quality attributes and ripeness stage in strawberry fruit.

Authors:  Changhong Liu; Wei Liu; Xuzhong Lu; Fei Ma; Wei Chen; Jianbo Yang; Lei Zheng
Journal:  PLoS One       Date:  2014-02-04       Impact factor: 3.240

Review 9.  Recent developments in hyperspectral imaging for assessment of food quality and safety.

Authors:  Hui Huang; Li Liu; Michael O Ngadi
Journal:  Sensors (Basel)       Date:  2014-04-22       Impact factor: 3.576

10.  Prediction of moisture content in steamed and dried purple sweet potato using hyperspectral imaging analysis.

Authors:  Suhyeon Heo; Ji-Young Choi; Jiyoon Kim; Kwang-Deog Moon
Journal:  Food Sci Biotechnol       Date:  2021-06-21       Impact factor: 3.231

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.