Preliminary investigation of Terahertz spectroscopy to predict pork freshness non-destructively-Reference-Cited by-同舟云学术

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Preliminary investigation of Terahertz spectroscopy to predict pork freshness non-destructively

Published:2019-12 Issue:suppl 2 Volume:39 Page:563-570
ISSN:1678-457X
Container-title:Food Science and Technology
language:
Short-container-title:Food Sci. Technol

Author:

Liang QI¹^ORCID,Maocheng ZHAO²,Jie ZHAO³,Yuweiyi TANG⁴

Affiliation:

1. Nanjing Forestry University, China; Nanjing Normal University, China

2. Nanjing Forestry University, China; Taizhou University, China

3. Nanjing Forestry University, China; Nanjing Institute of Industrial Professional Technology, China

4. Nanjing Forestry University, China

Publisher

FapUNIFESP (SciELO)

Subject

Food Science,Biotechnology

Link

http://www.scielo.br/pdf/cta/v39s2/0101-2061-cta-fst25718.pdf

Reference40 articles.

1. Performance of fluorescence spectroscopy for beef meat authentication: Effect of excitation mode and discriminant algorithms;Aït-Kaddour A.;Meat Science,2018

2. Determination of total volatile basic nitrogen (TVB-N) content and Warner–Bratzler shear force (WBSF) in pork using Fourier transform near infrared (FT-NIR) spectroscopy;Cai J.;Food Chemistry,2011

3. A noise-detection based AdaBoost algorithm for mislabeled data;Cao J.;Pattern Recognition,2012

4. Waveband selection for NIR spectroscopy analysis of soil organic matter based on SG smoothing and MWPLS methods;Chen H.;Chemometrics and Intelligent Laboratory Systems,2011

5. Application of linear/non-linear classification algorithms in discrimination of pork storage time using Fourier transform near infrared (FT-NIR) spectroscopy;Chen Q.;Lebensmittel-Wissenschaft + Technologie,2011

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1. Novel analysis of food processes by terahertz spectral imaging: A review of recent research findings;Trends in Food Science & Technology;2024-05

2. Challenges in the Use of AI-Driven Non-Destructive Spectroscopic Tools for Rapid Food Analysis;Foods;2024-03-10

3. Non-Destructive Techniques for the Analysis and Evaluation of Meat Quality and Safety: A Review;Foods;2022-11-18

4. Versatile in silico modelling of microplastics adsorption capacity in aqueous environment based on molecular descriptor and machine learning;Science of The Total Environment;2022-11

5. Spectroscopic techniques for authentication of animal origin foods;Frontiers in Nutrition;2022-09-20

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