Performance of different portable and hand-held near-infrared spectrometers for predicting beef composition and quality characteristics in the abattoir without meat sampling

An innovative non-targeted control system based on NIR spectral information for detecting non-compliant batches of sweet almonds

(2021) Miguel Vega-Castellote et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Nondestructive VIS/NIR spectroscopy estimation of intravitelline vitamin E and cholesterol concentration in hen shell eggs

(2020) Shinichiro Kuroki et al.   Journal of Food Measurement and Characterization

Predicting the shear value and intramuscular fat in meat from Nellore cattle using Vis-NIR spectroscopy

(2020) Marina de Nadai Bonin et al.   MEAT SCIENCE

Validation strategy can result in an overoptimistic view of the ability of milk infrared spectra to predict methane emission of dairy cattle

(2019) Qiuyu Wang et al.   JOURNAL OF DAIRY SCIENCE

Cholesterol determination in egg yolk by UV-VIS-NIR spectroscopy

(2019) Gema Puertas et al.   FOOD CONTROL

Predicting the Quality of Meat: Myth or Reality?

(2019) Cécile Berri et al.   Foods

Accuracy and biases in predicting the chemical and physical traits of many types of cheeses using different visible and near-infrared spectroscopic techniques and spectrum intervals

(2019) Giorgia Stocco et al.   JOURNAL OF DAIRY SCIENCE

Prediction of meat quality traits in the abattoir using portable and hand-held near-infrared spectrometers

(2019) Simone Savoia et al.   MEAT SCIENCE

Online Prediction of Physico-Chemical Quality Attributes of Beef Using Visible—Near-Infrared Spectroscopy and Chemometrics

(2019) Amna Sahar et al.   Foods

Exploration of the effect of farm, breed, sex and animal on detailed mineral profile of beef and their latent explanatory factors

(2019) Nageshvar Patel et al.   INTERNATIONAL JOURNAL OF FOOD SCIENCE AND TECHNOLOGY

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

Relationships of a Detailed Mineral Profile of Meat with Animal Performance and Beef Quality

(2019) Nageshvar Patel et al.   Animals

Evaluating the performance of a miniaturized NIR spectrophotometer for predicting intramuscular fat in lamb: A comparison with benchtop and hand-held Vis-NIR spectrophotometers

(2019) Y. Dixit et al.   MEAT SCIENCE

Genetic parameters of milk fatty acid profile in sheep: comparison between gas chromatographic measurements and Fourier-transform IR spectroscopy predictions

(2018) F. Correddu et al.   Animal

Applications of Miniaturized and Portable Near Infrared Spectroscopy (NIRS) for Inspection and Control of Meat and Meat Products

(2018) Hafizu Ibrahim Kademi et al.   FOOD REVIEWS INTERNATIONAL

Handheld NIRS sensors for routine compound feed quality control: Real time analysis and field monitoring

(2017) Sagrario Modroño et al.   TALANTA

Prediction of chicken quality attributes by near infrared spectroscopy

(2015) Douglas Fernandes Barbin et al.   FOOD CHEMISTRY

Quantitative Prediction of Beef Quality Using Visible and NIR Spectroscopy with Large Data Samples Under Industry Conditions

(2015) T. Qiao et al.   Journal of Applied Spectroscopy

Bayesian regression models outperform partial least squares methods for predicting milk components and technological properties using infrared spectral data

(2015) A. Ferragina et al.   JOURNAL OF DAIRY SCIENCE

Determination of the Mineral Composition of Foods by Infrared Spectroscopy: A Review of a Green Alternative

(2014) Simon Schmitt et al.   CRITICAL REVIEWS IN ANALYTICAL CHEMISTRY

Development of near infrared reflectance spectroscopy to predict chemical composition with a wide range of variability in beef

(2014) Huawei Su et al.   MEAT SCIENCE

Low crude protein diets and phase feeding for double-muscled crossbred young bulls and heifers

(2013) S. Schiavon et al.   Livestock Science

Handheld NIRS analysis for routine meat quality control: Database transfer from at-line instruments

(2012) E. Zamora-Rojas et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Near-infrared reflectance spectroscopy predictions as indicator traits in breeding programs for enhanced beef quality1

(2011) A. Cecchinato et al.   JOURNAL OF ANIMAL SCIENCE

Genetic analysis of beef fatty acid composition predicted by near-infrared spectroscopy1

(2011) A. Cecchinato et al.   JOURNAL OF ANIMAL SCIENCE

Effect of high or low protein ration combined or not with rumen protected conjugated linoleic acid (CLA) on meat CLA content and quality traits of double-muscled Piemontese bulls

(2011) S. Schiavon et al.   MEAT SCIENCE

The effect of the number of observations used for Fourier transform infrared model calibration for bovine milk fat composition on the estimated genetic parameters of the predicted data

(2010) M.J.M. Rutten et al.   JOURNAL OF DAIRY SCIENCE

Spectroscopic evaluation of the nutrient value of ground beef patties

(2009) S.G. Bajwa et al.   JOURNAL OF FOOD ENGINEERING

Application of near infrared reflectance spectroscopy to predict meat and meat products quality: A review

(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

Meat quality assessment using biophysical methods related to meat structure

(2008) Jean-Louis Damez 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