Online Prediction of Physico-Chemical Quality Attributes of Beef Using Visible—Near-Infrared Spectroscopy and Chemometrics
出版年份 2019 全文链接
标题
Online Prediction of Physico-Chemical Quality Attributes of Beef Using Visible—Near-Infrared Spectroscopy and Chemometrics
作者
关键词
-
出版物
Foods
Volume 8, Issue 11, Pages 525
出版商
MDPI AG
发表日期
2019-10-25
DOI
10.3390/foods8110525
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Effect of Breed and Gender on Meat Quality of M. longissimus thoracis et lumborum Muscle from Crossbred Beef Bulls and Steers
- (2019) Jamie Cafferky et al. Foods
- Investigating the use of visible and near infrared spectroscopy to predict sensory and texture attributes of beef M. longissimus thoracis et lumborum
- (2019) Jamie Cafferky et al. MEAT SCIENCE
- Determination of fatty acid content in meat and meat products: The FTIR-ATR approach
- (2018) M. Lucarini et al. FOOD CHEMISTRY
- Identification of ground meat species using near-infrared spectroscopy and class modeling techniques – Aspects of optimization and validation using a one-class classification model
- (2018) L. Pieszczek et al. MEAT SCIENCE
- Assessing different processed meats for adulterants using visible-near-infrared spectroscopy
- (2018) Ahmed Rady et al. MEAT SCIENCE
- Performance of fluorescence spectroscopy for beef meat authentication: Effect of excitation mode and discriminant algorithms
- (2018) A. Aït-Kaddour et al. MEAT SCIENCE
- Preliminary investigation of the use of Raman spectroscopy to predict meat and eating quality traits of beef loins
- (2018) Stephanie M. Fowler et al. MEAT SCIENCE
- Assessing the capability of Fourier transform infrared spectroscopy in tandem with chemometric analysis for predicting poultry meat spoilage
- (2018) Ubaid ur Rahman et al. PeerJ
- On-package dual sensors label based on pH indicators for real-time monitoring of beef freshness
- (2017) Bambang Kuswandi et al. FOOD CONTROL
- Process analytical technologies for fat and moisture determination in ground beef - a comparison of guided microwave spectroscopy and near infrared hyperspectral imaging
- (2017) Ming Zhao et al. FOOD CONTROL
- Structural changes evaluation with Raman spectroscopy in meat batters prepared by different processes
- (2017) Zhuang-Li Kang et al. JOURNAL OF FOOD SCIENCE AND TECHNOLOGY-MYSORE
- Non-invasive sensing for food reassurance
- (2016) Zou Xiaobo et al. ANALYST
- Detection and characterisation of frauds in bovine meat in natura by non-meat ingredient additions using data fusion of chemical parameters and ATR-FTIR spectroscopy
- (2016) Karen M. Nunes et al. FOOD CHEMISTRY
- Application of hyperspectral imaging for characterization of intramuscular fat distribution in beef
- (2016) Santosh Lohumi et al. INFRARED PHYSICS & TECHNOLOGY
- Hyperspectral imaging for real-time monitoring of water holding capacity in red meat
- (2016) Mohammed Kamruzzaman et al. LWT-FOOD SCIENCE AND TECHNOLOGY
- Tenderness and sensory attributes of the longissimus lumborum muscles with different quality grades from Chinese fattened yellow crossbred steers
- (2016) R.R. Liang et al. MEAT SCIENCE
- Potential of fluorescence spectroscopy to predict fatty acid composition of beef
- (2016) A. Aït-Kaddour et al. MEAT SCIENCE
- Applications of emerging imaging techniques for meat quality and safety detection and evaluation: A review
- (2015) Zhenjie Xiong et al. CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION
- Classification and characterization of beef muscles using front-face fluorescence spectroscopy
- (2015) Amna Sahar et al. MEAT SCIENCE
- On-line prediction of beef quality traits using near infrared spectroscopy
- (2013) Massimo De Marchi MEAT SCIENCE
- 2D DIGE proteomic analysis of early post mortem muscle exudate highlights the importance of the stress response for improved water-holding capacity of fresh pork meat
- (2013) Alessio Di Luca et al. PROTEOMICS
- Non-destructive prediction and visualization of chemical composition in lamb meat using NIR hyperspectral imaging and multivariate regression
- (2012) Mohammed Kamruzzaman et al. Innovative Food Science & Emerging Technologies
- Feasibility of the direct application of near-infrared reflectance spectroscopy on intact chicken breasts to predict meat color and physical traits
- (2011) M. De Marchi et al. POULTRY SCIENCE
- Use of near infrared spectroscopy for assessment of beef quality traits
- (2010) M. De Marchi et al. Italian Journal of Animal Science
- Consumer perception and the role of science in the meat industry
- (2010) D.J. Troy et al. MEAT SCIENCE
- Front-face fluorescence spectroscopy as a tool to classify seven bovine muscles according to their chemical and rheological characteristics
- (2009) A. Sahar et al. MEAT SCIENCE
- On-line application of visible and near infrared reflectance spectroscopy to predict chemical–physical and sensory characteristics of beef quality
- (2009) N. Prieto et al. MEAT SCIENCE
- Near-infrared reflectance spectroscopy for predicting chemical, instrumental and sensory quality of beef
- (2008) G. Ripoll et al. MEAT SCIENCE
- The use of visible and near infrared reflectance spectroscopy to predict beef M. longissimus thoracis et lumborum quality attributes
- (2007) S. Andrés et al. MEAT SCIENCE
- Ability of near infrared reflectance spectroscopy (NIRS) to estimate physical parameters of adult steers (oxen) and young cattle meat samples
- (2007) N. Prieto et al. MEAT SCIENCE
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