Use of convolutional neural network (CNN) combined with FT-NIR spectroscopy to predict food adulteration: A case study on coffee

A synergistic use of chemometrics and deep learning improved the predictive performance of near-infrared spectroscopy models for dry matter prediction in mango fruit

(2021) Puneet Mishra et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Realizing transfer learning for updating deep learning models of spectral data to be used in a new scenario

(2021) Puneet Mishra et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Understanding the learning mechanism of convolutional neural networks in spectral analysis

(2020) Xiaolei Zhang et al.   ANALYTICA CHIMICA ACTA

Authentication of roasted and ground coffee samples containing multiple adulterants using NMR and a chemometric approach

(2020) Maria Izabel Milani et al.   FOOD CONTROL

Visualization of vibrational spectroscopy for agro-food samples using t-Distributed Stochastic Neighbor Embedding

(2020) Na Luo et al.   FOOD CONTROL

An innovative multivariate strategy for HSI-NIR images to automatically detect defects in green coffee

(2019) Paolo Oliveri et al.   TALANTA

Application on-line NIR spectroscopy and other process analytical technology tools to the characterization of soy sauce desalting by electrodialysis

(2019) Roberto Moscetti et al.   JOURNAL OF FOOD ENGINEERING

Modern practical convolutional neural networks for multivariate regression: Applications to NIR calibration

(2018) Chenhao Cui et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Development of a rapid and efficient DNA-based method to detect and quantify adulterations in coffee (Arabica versus Robusta)

(2018) Marie-Christine Combes et al.   FOOD CONTROL

Plastid trnH-psbA intergenic spacer serves as a PCR-based marker to detect common grain adulterants of coffee ( Coffea arabica L.)

(2018) Ali Tevfik Uncu et al.   FOOD CONTROL

Rapid prediction of single green coffee bean moisture and lipid content by hyperspectral imaging

(2018) Nicola Caporaso et al.   JOURNAL OF FOOD ENGINEERING

One-dimensional convolutional neural networks for spectroscopic signal regression

(2017) Salim Malek et al.   JOURNAL OF CHEMOMETRICS

Quantification of Coffea arabica and Coffea canephora var. robusta concentration in blends by means of synchronous fluorescence and UV-Vis spectroscopies

(2017) A. Dankowska et al.   TALANTA

Using Real-Time PCR as a tool for monitoring the authenticity of commercial coffees

(2016) Thiago Ferreira et al.   FOOD CHEMISTRY

Free tocopherols as chemical markers for Arabica coffee adulteration with maize and coffee by-products

(2016) Katiany Mansur Tavares et al.   FOOD CONTROL

Detection of Corn Adulteration in Brazilian Coffee (Coffea arabica) by Tocopherol Profiling and Near-Infrared (NIR) Spectroscopy

(2015) Jill K. Winkler-Moser et al.   JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY

Screening for Coffee Adulteration Using Digital Images and SPA-LDA

(2014) Urijatan Teixeira de Carvalho Polar Souto et al.   Food Analytical Methods

Detection of ground roasted coffee adulteration with roasted soybean and wheat

(2014) Elis Daiane Pauli et al.   FOOD RESEARCH INTERNATIONAL

Exploring the Use of Near Infrared (NIR) Reflectance Spectroscopy to Predict Starch Pasting Properties in Whole Grain Barley

(2013) D. Cozzolino et al.   Food Biophysics

Chlorogenic acid in raw materials for the production of chicory coffee

(2013) Renata Zawirska-Wojtasiak et al.   JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE

Quantitative evaluation of multiple adulterants in roasted coffee by Diffuse Reflectance Infrared Fourier Transform Spectroscopy (DRIFTS) and chemometrics

(2013) Nádia Reis et al.   TALANTA

Breaking with trends in pre-processing?

(2013) Jasper Engel et al.   TRAC-TRENDS IN ANALYTICAL CHEMISTRY

Relationships between Swelling Power, Water Solubility and Near-Infrared Spectra in Whole Grain Barley: A Feasibility Study

(2012) D. Cozzolino et al.   Food and Bioprocess Technology

Discrimination between roasted coffee, roasted corn and coffee husks by Diffuse Reflectance Infrared Fourier Transform Spectroscopy

(2012) Nádia Reis et al.   LWT-FOOD SCIENCE AND TECHNOLOGY

Detection of addition of barley to coffee using near infrared spectroscopy and chemometric techniques

(2012) Heshmatollah Ebrahimi-Najafabadi et al.   TALANTA

Investigations of Native and Resistant Starches and Their Mixtures Using Near-Infrared Spectroscopy

(2010) Mária Hódsági et al.   Food and Bioprocess Technology

Chemometric models for the quantitative descriptive sensory analysis of Arabica coffee beverages using near infrared spectroscopy

(2010) J.S. Ribeiro et al.   TALANTA

Near infrared spectroscopy: An analytical tool to predict coffee roasting degree

(2008) Laura Alessandrini et al.   ANALYTICA CHIMICA ACTA