Differential scanning calorimetry coupled with machine learning technique: An effective approach to determine the milk authenticity

Evaluation of machine learning methods for organic apple authentication based on diffraction grating and image processing

(2020) Weiran Song et al.   JOURNAL OF FOOD COMPOSITION AND ANALYSIS

Consumer acceptance and sensory drivers of liking of Minas Frescal Minas cheese manufactured using milk subjected to ohmic heating: Performance of machine learning methods

(2020) Ramon S. Rocha et al.   LWT-FOOD SCIENCE AND TECHNOLOGY

Characterization of thermal properties of goat milk fat and goat milk chocolate by using DSC, PDSC and TGA methods

(2019) Karolina Dolatowska-Żebrowska et al.   JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY

Alternative data mining/machine learning methods for the analytical evaluation of food quality and authenticity – A review

(2019) Ana M. Jiménez-Carvelo et al.   FOOD RESEARCH INTERNATIONAL

Comparison between random forest and gradient boosting machine methods for predicting Listeria spp. prevalence in the environment of pastured poultry farms

(2019) Chase E. Golden et al.   FOOD RESEARCH INTERNATIONAL

Prediction of clathrate hydrate phase equilibria using gradient boosted regression trees and deep neural networks

(2019) Yongchen Song et al.   JOURNAL OF CHEMICAL THERMODYNAMICS

Application of chemometrics for detection and modeling of adulteration of fresh cow milk with reconstituted skim milk powder using voltammetric fingerpriting on a graphite/ SiO2 hybrid electrode

(2019) Pavlos Nikolaou et al.   TALANTA

Trends in Chemometrics: Food Authentication, Microbiology, and Effects of Processing

(2018) Daniel Granato et al.   COMPREHENSIVE REVIEWS IN FOOD SCIENCE AND FOOD SAFETY

An overview of multivariate qualitative methods for food fraud detection

(2018) M. Pilar Callao et al.   FOOD CONTROL

Random forests: A machine learning methodology to highlight the volatile organic compounds involved in olfactory perception

(2018) E. Vigneau et al.   FOOD QUALITY AND PREFERENCE

Relationship between astringency and phenolic composition of commercial Uruguayan Tannat wines: Application of boosted regression trees

(2018) Leticia Vidal et al.   FOOD RESEARCH INTERNATIONAL

Use of principal component analysis (PCA) and hierarchical cluster analysis (HCA) for multivariate association between bioactive compounds and functional properties in foods: A critical perspective

(2018) Daniel Granato et al.   TRENDS IN FOOD SCIENCE & TECHNOLOGY

Differential calorimetry scanning: current background and application in authenticity of dairy products

(2018) Juliana S .Farah et al.   Current Opinion in Food Science

Nutrient density and nutritional value of milk and plant-based milk alternatives

(2018) Sebastian Chalupa-Krebzdak et al.   INTERNATIONAL DAIRY JOURNAL

Recent advances on determination of milk adulterants

(2017) Carina F. Nascimento et al.   FOOD CHEMISTRY

Differential scanning calorimetry coupled with chemometric tools for determining adulteration with vegetable fat in fresh cheeses

(2017) Erasmo Herman-Lara et al.   LWT-FOOD SCIENCE AND TECHNOLOGY

Prediction of kiwifruit firmness using fruit mineral nutrient concentration by artificial neural network (ANN) and multiple linear regressions (MLR)

(2017) Ali Mohammadi Torkashvand et al.   Journal of Integrative Agriculture

Rapid quantitative determination of butter adulteration with palm oil using the DSC technique

(2016) Jolanta Tomaszewska-Gras   FOOD CONTROL

Detection and quantification of milk adulteration using time domain nuclear magnetic resonance (TD-NMR)

(2016) Poliana M. Santos et al.   MICROCHEMICAL JOURNAL

Evaluation of supervised chemometric methods for sample classification by Laser Induced Breakdown Spectroscopy

(2015) S. Moncayo et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Food adulteration: Sources, health risks, and detection methods

(2015) Sangita Bansal et al.   CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION

Fouling Behavior of Camel and Cow Milks Under Different Heat Treatments

(2015) Imène Felfoul et al.   Food and Bioprocess Technology

Evaluation of extra virgin olive oil stability by artificial neural network

(2015) Simone Faria Silva et al.   FOOD CHEMISTRY

Milk Preservatives and Adulterants: Processing, Regulatory and Safety Issues

(2015) Parminder Singh et al.   FOOD REVIEWS INTERNATIONAL

Discrimination of Brazilian artisanal and inspected pork sausages: Application of unsupervised, linear and non-linear supervised chemometric methods

(2014) J.A. Matera et al.   FOOD RESEARCH INTERNATIONAL

Detection of butter adulteration with water using differential scanning calorimetry

(2011) Jolanta Tomaszewska-Gras   JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY

Monitoring the authenticity of Brazilian UHT milk: A chemometric approach

(2010) Simone S. Souza et al.   FOOD CHEMISTRY

A working guide to boosted regression trees

(2008) J. Elith et al.   JOURNAL OF ANIMAL ECOLOGY