Rapid identification and quantification of vegetable oil adulteration in raw milk using a flash gas chromatography electronic nose combined with machine learning

Rapid detection of acid neutralizers adulteration in raw milk using FGC E-nose and chemometrics

(2022) Huaixiang Tian et al.   Journal of Food Measurement and Characterization

Rapid detection of neutralising acid adulterants in raw milk using a milk component analyser and chemometrics

(2022) Huaixiang Tian et al.   Food Additives and Contaminants Part A-Chemistry Analysis Control Exposure & Risk Assessment

Electronic nose for detection of food adulteration: a review

(2021) Mrinmoy Roy et al.   JOURNAL OF FOOD SCIENCE AND TECHNOLOGY-MYSORE

Employment of artificial neural networks for non-invasive estimation of leaf water status using color features: a case study in Spathiphyllum wallisii

(2021) Amin Taheri-Garavand et al.   ACTA PHYSIOLOGIAE PLANTARUM

Non-Invasive Method for Tuberculosis Exhaled Breath Classification Using Electronic Nose

(2021) Hendrick Hendrick et al.   IEEE SENSORS JOURNAL

Hybrid variable selection strategy coupled with random forest (RF) for quantitative analysis of methanol in methanol-gasoline via Raman spectroscopy

(2021) Maogang Li et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Data-Driven Modeling Approach for Pore Pressure Gradient Prediction while Drilling from Drilling Parameters

(2021) Ahmed Abdelaal et al.   ACS Omega

Assessment of Volatile Aromatic Compounds in Smoke Tainted Cabernet Sauvignon Wines Using a Low-Cost E-Nose and Machine Learning Modelling

(2021) Vasiliki Summerson et al.   MOLECULES

Comparative Study of Several Machine Learning Algorithms for Classification of Unifloral Honeys

(2021) Fernando Mateo et al.   Foods

Automated Hierarchy Evaluation System of Large Vessel Occlusion in Acute Ischemia Stroke

(2020) Jia You et al.   Frontiers in Neuroinformatics

The Study on the hERG Blocker Prediction Using Chemical Fingerprint Analysis

(2020) Kwang-Eun Choi et al.   MOLECULES

Milk Source Identification and Milk Quality Estimation Using an Electronic Nose and Machine Learning Techniques

(2020) Fanglin Mu et al.   SENSORS

A barcode-DNA analysis method for the identification of plant oil adulteration in milk and dairy products

(2020) Ayse Ozgur Uncu et al.   FOOD CHEMISTRY

Emerging non-destructive methods for quality and safety monitoring of spices

(2020) Nikitha Modupalli et al.   TRENDS IN FOOD SCIENCE & TECHNOLOGY

Deep Learning-Based Prediction of Drug-Induced Cardiotoxicity

(2019) Chuipu Cai et al.   Journal of Chemical Information and Modeling

Rapid methods and sensors for milk quality monitoring and spoilage detection

(2019) Arshak Poghossian et al.   BIOSENSORS & BIOELECTRONICS

Chemiresistive Sensor Array and Machine Learning Classification of Food

(2019) Vera Schroeder et al.   ACS Sensors

The qualitative and quantitative assessment of tea quality based on E-nose, E-tongue and E-eye combined with chemometrics

(2019) Min Xu et al.   FOOD CHEMISTRY

Effective detection and quantification of chemical adulterants in model fat-filled milk powders using NIRS and hierarchical modelling strategies

(2019) Kizito Kene Ejeahalaka et al.   FOOD CHEMISTRY

Determination of the food dye indigotine in cream by near-infrared spectroscopy technology combined with random forest model

(2019) Supei Zhang et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Combined application of electronic nose analysis and back-propagation neural network and random forest models for assessing yogurt flavor acceptability

(2019) Huaixiang Tian et al.   Journal of Food Measurement and Characterization

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

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

Comparison of Support Vector Machine and Extreme Gradient Boosting for predicting daily global solar radiation using temperature and precipitation in humid subtropical climates: A case study in China

(2018) Junliang Fan et al.   ENERGY CONVERSION AND MANAGEMENT

Evaluating the effects of the adulterants in milk using direct-infusion high-resolution mass spectrometry

(2018) Tatiane Melina Guerreiro et al.   FOOD RESEARCH INTERNATIONAL

Detection of the adulteration in pure cow ghee by electronic nose method (case study: sunflower oil and cow body fat)

(2018) Fardin Ayari et al.   INTERNATIONAL JOURNAL OF FOOD PROPERTIES

Using an E-nose machine for detection the adulteration of margarine in cow ghee

(2018) Fardin Ayari et al.   JOURNAL OF FOOD PROCESS ENGINEERING

The prediction of food additives in the fruit juice based on electronic nose with chemometrics

(2017) Shanshan Qiu et al.   FOOD CHEMISTRY

Rapid detection and quantification of soya bean oil and common sugar in bovine milk using attenuated total reflectance-fourier transform infrared spectroscopy

(2017) Pranita Jaiswal et al.   INTERNATIONAL JOURNAL OF DAIRY TECHNOLOGY

Feature analysis for classification of trace fluorescent labeled protein crystallization images

(2017) Madhav Sigdel et al.   BioData Mining

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

(2016) Jolanta Tomaszewska-Gras   FOOD CONTROL

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

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

Detection of Adulterants and Contaminants in Liquid Foods—A Review

(2015) Shyam Narayan Jha et al.   CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION

Effects of storage temperature and time on internal quality of satsuma mandarin (Citrus unshiu marc.) by means of E-nose and E-tongue based on two-way MANOVA analysis and random forest

(2015) Shanshan Qiu et al.   Innovative Food Science & Emerging Technologies

Comparison of Rapid Reversed Phase High-Performance Liquid Chromatography (RP-HPLC) Method with Rapid Reversed Phase Thin Layer Chromatography Method for Detecting Vegetable Oils in Ghee (Clarified Milk Fat)

(2015) Anupama Rani et al.   INTERNATIONAL JOURNAL OF FOOD PROPERTIES

A low cost instrumentation system to analyze different types of milk adulteration

(2015) Siuli Das et al.   ISA TRANSACTIONS

Electronic noses for food quality: A review

(2015) Amy Loutfi et al.   JOURNAL OF FOOD ENGINEERING

Determination of Milk Fat Adulteration with Vegetable Oils and Animal Fats by Gas Chromatographic Analysis

(2015) Jin-Man Kim et al.   JOURNAL OF FOOD SCIENCE

Neural Networks inRUsing the Stuttgart Neural Network Simulator:RSNNS

(2015) Christoph Bergmeir et al.   Journal of Statistical Software

Performance Study of Multilayer Perceptrons in a Low-Cost Electronic Nose

(2014) Lei Zhang et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Development of a method employing reversed-phase thin-layer chromatography for establishing milk fat purity with respect to adulteration with vegetable oils

(2014) Neelam Upadhyay et al.   INTERNATIONAL JOURNAL OF DAIRY TECHNOLOGY

Classification and Adulteration Detection of Vegetable Oils Based on Fatty Acid Profiles

(2014) Liangxiao Zhang et al.   JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY

A novel approach for the quantitative analysis of multiple elements in steel based on laser-induced breakdown spectroscopy (LIBS) and random forest regression (RFR)

(2014) Tianlong Zhang et al.   JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY

Application of electronic nose and electronic tongue in the dairy industry

(2014) Milna Tudor Kalit   Mljekarstvo

Efficient multi-objective calibration of a computationally intensive hydrologic model with parallel computing software in Python

(2013) Xuesong Zhang et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Short communication : Rapid detection of milk fat adulteration with vegetable oil by fluorescence spectroscopy

(2013) M.P. Ntakatsane et al.   JOURNAL OF DAIRY SCIENCE

Milk nutritional composition and its role in human health

(2013) Paula C. Pereira   NUTRITION

Development and Application of a Database of Food Ingredient Fraud and Economically Motivated Adulteration from 1980 to 2010

(2012) Jeffrey C. Moore et al.   JOURNAL OF FOOD SCIENCE

MissForest--non-parametric missing value imputation for mixed-type data

(2011) D. J. Stekhoven et al.   BIOINFORMATICS