Literature DB >> 33371583

Developments and Challenges in Online NIR Spectroscopy for Meat Processing.

Y Dixit1, Maria P Casado-Gavalda1, R Cama-Moncunill1, X Cama-Moncunill1, Maria Markiewicz-Keszycka1, P J Cullen1,2, Carl Sullivan1.   

Abstract

Meat and meat products are popular foods due to their balanced nutritional nature and their availability in a variety of forms. In recent years, due to an increase in the consumer awareness regarding product quality and authenticity of food, rapid and effective quality control systems have been sought by meat industries. Near-Infrared (NIR) spectroscopy has been identified as a fast and cost-effective tool for estimating various meat quality parameters as well as detecting adulteration. This review focusses on the on/inline application of single and multiprobe NIR spectroscopy for the analysis of meat and meat products starting from the year 1996 to 2017. The article gives a brief description about the theory of NIR spectroscopy followed by its application for meat and meat products analysis. A detailed discussion is provided on the various studies regarding applications of NIR spectroscopy and specifically for on/inline monitoring along with their advantages and disadvantages. Additionally, a brief description has been given about the various chemometric techniques utilized in the mentioned studies. Finally, it discusses challenges encountered and future prospects of the technology. It is concluded that, advancements in the fields of NIR spectroscopy and chemometrics have immensely increased the potential of the technology as a reliable on/inline monitoring tool for the meat industry.
© 2017 Institute of Food Technologists®.

Keywords:  chemometrics; meat; near-infrared spectroscopy; on/inline; probe

Year:  2017        PMID: 33371583     DOI: 10.1111/1541-4337.12295

Source DB:  PubMed          Journal:  Compr Rev Food Sci Food Saf        ISSN: 1541-4337            Impact factor:   12.811


  5 in total

Review 1.  Application of near-infrared spectroscopy to agriculture and forestry.

Authors:  Satoru Tsuchikawa; Te Ma; Tetsuya Inagaki
Journal:  Anal Sci       Date:  2022-03-26       Impact factor: 2.081

2.  Differentiation of Livestock Internal Organs Using Visible and Short-Wave Infrared Hyperspectral Imaging Sensors.

Authors:  Cassius E O Coombs; Brendan E Allman; Edward J Morton; Marina Gimeno; Neil Horadagoda; Garth Tarr; Luciano A González
Journal:  Sensors (Basel)       Date:  2022-04-27       Impact factor: 3.847

Review 3.  Selected Instrumental Techniques Applied in Food and Feed: Quality, Safety and Adulteration Analysis.

Authors:  Graciela Artavia; Carolina Cortés-Herrera; Fabio Granados-Chinchilla
Journal:  Foods       Date:  2021-05-13

4.  Determination of Pork Meat Storage Time Using Near-Infrared Spectroscopy Combined with Fuzzy Clustering Algorithms.

Authors:  Qiulin Li; Xiaohong Wu; Jun Zheng; Bin Wu; Hao Jian; Changzhi Sun; Yibiao Tang
Journal:  Foods       Date:  2022-07-14

Review 5.  A Review on Meat Quality Evaluation Methods Based on Non-Destructive Computer Vision and Artificial Intelligence Technologies.

Authors:  Yinyan Shi; Xiaochan Wang; Md Saidul Borhan; Jennifer Young; David Newman; Eric Berg; Xin Sun
Journal:  Food Sci Anim Resour       Date:  2021-07-01
  5 in total

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