Detecting fraudulent additions in skimmed milk powder using a portable, hyphenated, optical multi-sensor approach in combination with one-class classification

mdatools – R package for chemometrics

(2020) Sergey Kucheryavskiy   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Chemometric tools for food fraud detection: The role of target class in non-targeted analysis

(2020) O.Ye. Rodionova et al.   FOOD CHEMISTRY

Opportunities and Challenges Using Non-targeted Methods for Food Fraud Detection

(2019) Boyan Gao et al.   JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY

Classification of cow milk using artificial neural network developed from the spectral data of single- and three-detector spectrophotometers

(2019) Shima Behkami et al.   FOOD CHEMISTRY

Reconstitution followed by non-targeted mid-infrared analysis as a workable and cost-effective solution to overcome the blending duality in milk powder adulteration detection

(2019) Roman R. Romero Gonzalez et al.   FOOD CHEMISTRY

Near infrared spectroscopy: A mature analytical technique with new perspectives – A review

(2018) Celio Pasquini   ANALYTICA CHIMICA ACTA

An overview of multivariate qualitative methods for food fraud detection

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

First use of handheld Raman spectroscopic devices and on-board chemometric analysis for the detection of milk powder adulteration

(2018) Sanjeewa R. Karunathilaka et al.   FOOD CONTROL

What are the scientific challenges in moving from targeted to non-targeted methods for food fraud testing and how can they be addressed? – Spectroscopy case study

(2018) Terry F. McGrath et al.   TRENDS IN FOOD SCIENCE & TECHNOLOGY

Portable Spectroscopy

(2018) Richard A. Crocombe   APPLIED SPECTROSCOPY

Recent advances on determination of milk adulterants

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

Effects of the Adulteration Technique on the Near-Infrared Detection of Melamine in Milk Powder

(2017) Peter F. Scholl et al.   JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY

Near-Infrared Grating Spectrometer for Mobile Phone Applications

(2016) Tino Pügner et al.   APPLIED SPECTROSCOPY

Non-targeted detection of milk powder adulteration using Raman spectroscopy and chemometrics: melamine case study

(2016) Sanjeewa R. Karunathilaka et al.   Food Additives and Contaminants Part A-Chemistry Analysis Control Exposure & Risk Assessment

Detection of adulteration in milk: A review

(2016) Amrita Poonia et al.   INTERNATIONAL JOURNAL OF DAIRY TECHNOLOGY

Review of validation and reporting of non-targeted fingerprinting approaches for food authentication

(2015) Janet Riedl et al.   ANALYTICA CHIMICA ACTA

Point-and-shoot: rapid quantitative detection methods for on-site food fraud analysis – moving out of the laboratory and into the food supply chain

(2015) David I. Ellis et al.   Analytical Methods

Targeted and Untargeted Detection of Skim Milk Powder Adulteration by Near-Infrared Spectroscopy

(2015) Edoardo Capuano et al.   Food Analytical Methods

The Use of near Infrared Spectroscopy for Determination of Adulteration and Contamination in Milk and Milk Powder: Updating Knowledge

(2013) Tiziana M.P. Cattaneo et al.   JOURNAL OF NEAR INFRARED SPECTROSCOPY