165 Hits in 6.0 sec

Food Powder Classification Using a Portable Visible-Near-Infrared Spectrometer

Hanjong You, Youngsik Kim, Jae-Hyung Lee, Byung-Jun Jang, Sunwoong Choi
2017 Journal of the Korean Institute of Electromagnetic Engineering and Science  
In this paper, we classified eight food powders using a portable VIS-NIR spectrometer with a wavelength range of 450-1,000 nm.  ...  We demonstrated the potential of material analysis using a portable VIS-NIR spectrometer.  ...  Eight food powders are classified using a portable VIS-NIR spectrometer with three supervised classification methods.  ... 
doi:10.26866/jees.2017.17.4.186 fatcat:q2j3w7zhjfch7ns6qryrfytf7q

Recent Advances in Portable and Handheld NIR Spectrometers and Applications in Milk, Cheese and Dairy Powders

Yuanyuan Pu, Dolores Pérez-Marín, Norah O'Shea, Ana Garrido-Varo
2021 Foods  
Comparison of model performance between handheld and bench-top NIR spectrometers is also given.  ...  In recent years, the development and advances in sensing technologies have led to miniaturisation of near infrared (NIR) spectrometers to a new era.  ...  Conflicts of Interest: The authors declare no conflict of interest. The funders had no role in the writing of the manuscript.  ... 
doi:10.3390/foods10102377 pmid:34681426 fatcat:4htz2oimofhgvpiwf6n5xakd4u

Handheld Devices for Food Authentication and Their Applications: A Review

Judith Müller-Maatsch, Saskia M. van Ruth
2021 Foods  
Nevertheless, many useful applications have been developed for many food commodities. However, the use of these applications in practice is still in its infancy.  ...  The majority of applications, ~60%, aim at food products of plant origin.  ...  Acknowledgments: Authors wish to thank Yannick Weesepoel of Wageningen Food Safety Research for his valuable suggestions and Esther van de Vosse for formatting the final text.  ... 
doi:10.3390/foods10122901 pmid:34945454 pmcid:PMC8700508 fatcat:abbdbwxcdjavlocqikl2vklqdi

QCM Sensor Arrays, Electroanalytical Techniques and NIR Spectroscopy Coupled to Multivariate Analysis for Quality Assessment of Food Products, Raw Materials, Ingredients and Foodborne Pathogen Detection: Challenges and Breakthroughs

David K. Bwambok, Noureen Siraj, Samantha Macchi, Nathaniel E. Larm, Gary A. Baker, Rocío L. Pérez, Caitlan E. Ayala, Charuksha Walgama, David Pollard, Jason D. Rodriguez, Souvik Banerjee, Brianda Elzey (+2 others)
2020 Sensors  
The simplicity, portability, non-invasive, non-destructive properties, and low-cost of NIR spectrometers, make them appealing and desirable instruments of choice for rapid quality checks, assessments and  ...  In addition, chemometric approaches and multivariate analyses of spectral data for NIR instrumental calibration and sample analyses for quality assessments and assurances of selected food products and  ...  Many articles are envisioned to report on the use of portable NIR spectrometers for the assessment of food products.  ... 
doi:10.3390/s20236982 pmid:33297345 fatcat:yiuzjmvl7rdatnfwdfq7aacakm

A Low-cost and Portable Near-infrared Spectrometer using Open-source Multivariate Data Analysis Software for Rapid Discriminatory Quality Assessment of Medroxyprogesterone Acetate Injectables

Matthew Eady, Michael Payne, Steve Sortijas, Ed Bethea, David Jenkins
2021 Spectrochimica Acta Part A - Molecular and Biomolecular Spectroscopy  
Here, a handheld spectrometer (900-1700 nm) with open-sourced software is used to evaluate vials of MPA from three suppliers (N = 227 vials) and verified by a benchtop UV-VIS-NIR (350-2500 nm) with licensed  ...  The handheld device paired with open-source software resulted in a product discrimination accuracy of 100% (verified by benchtop UV-VIS-NIR and chemical testing data) as well indicating that the low-cost  ...  Generating an open-sourced Calibration verification of benchtop UV-VIS-NIR spectrometer and handheld NIR spectrometer.  ... 
doi:10.1016/j.saa.2021.119917 pmid:33991812 fatcat:6xtd7tsnmrabxap732jvhaszze

Application of Visible/Infrared Spectroscopy and Hyperspectral Imaging With Machine Learning Techniques for Identifying Food Varieties and Geographical Origins

Lei Feng, Baohua Wu, Susu Zhu, Yong He, Chu Zhang
2021 Frontiers in Nutrition  
In this review, we outline recent research progress on identifying food varieties and geographical origins using visible/infrared spectroscopy and hyperspectral imaging with the help of machine learning  ...  Food quality and safety are strongly related to human health. Food quality varies with variety and geographical origin, and food fraud is becoming a threat to domestic and global markets.  ...  Summary of Machine Learning Methods for Food Classification The procedures to establish classification models with VIS/NIR, NIR, MIR spectroscopies, and HSI are shown in Figure 1 .  ... 
doi:10.3389/fnut.2021.680357 fatcat:rbpztnvsi5gbtpi75rddkiig7a

Historical Evolution and Food Control Achievements of Near Infrared Spectroscopy, Electronic Nose, and Electronic Tongue—Critical Overview

Balkis Aouadi, John-Lewis Zinia Zaukuu, Flora Vitális, Zsanett Bodor, Orsolya Fehér, Zoltan Gillay, George Bazar, Zoltan Kovacs
2020 Sensors  
Multiple physico-chemical and sensory parameters of these foods have also been predicted with the instruments in combination with chemometrics.  ...  The instruments have been used to fingerprint food properties and to control food production from farm-to-fork.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s20195479 pmid:32987908 fatcat:bz5tkxecybbchl35xdmvj7tzp4

Near‐Infrared spectroscopy (NIRS) applications for high throughput phenotyping (HTP) for cassava and yam: A review

E.O Alamu, E. Nuwamanya, D. Cornet, K. Meghar, M. Adesokan, T. Tran, J. Belalcazar, L. Desfontaines, F Davrieux
2020 International journal of food science & technology  
However, the feasibility of using mid-infrared spectroscopy (MIRS) and hyperspectral imaging (HSI) in combination with the NIRS could be further studied for quality traits phenotyping.  ...  A systematic review of the published research articles involved the use of NIRS in analysing the quality traits of cassava and yam was carried out, and Scopus, Science Direct, Web of Sciences and Google  ...  These models based on PLS (partial least square) regression were developed on crushed fresh cassava by using a portable visible-nearinfrared (VIS-NIR) spectrometer (QualitySpec Trek: S-10016, ASD; Longmont  ... 
doi:10.1111/ijfs.14773 pmid:33776247 pmcid:PMC7984172 fatcat:rmsuvv27tzbaxnkftwyvkvh23i

Non-Invasive Methods for Predicting the Quality of Processed Horticultural Food Products, with Emphasis on Dried Powders, Juices and Oils: A Review

Emmanuel Ekene Okere, Ebrahiema Arendse, Helene Nieuwoudt, Olaniyi Amos Fawole, Willem Jacobus Perold, Umezuruike Linus Opara
2021 Foods  
Raman spectroscopy has shown potential in the analysis of powdered products.  ...  This review highlights their application to predict quality attributes of different processed horticultural products (e.g., powders, juices, and oils).  ...  IR spectroscopy has been successfully used in the detection and classification of mycotoxins and the adulteration of powdered foods.  ... 
doi:10.3390/foods10123061 pmid:34945612 pmcid:PMC8701083 fatcat:oejdndtblrf2lgh5i6dawe6doy


Peter Stchur, Danielle Cleveland, Jack Zhou, Robert G. Michel
2002 Applied spectroscopy reviews (Softcover ed.)  
In addition thanks are due to CVI Laser Corporation for the loan of the PbS-array spectrometer, and to Prof. Challa Vijaya Kumar for use of the Jasco 410C FTIR spectrometer.  ...  ACKNOWLEDGMENTS Thanks are due to the National Science Foundation's program for Research Experience for Undergraduates, at the University of Connecticut, which supported one of us (DC).  ...  The results from the portable instrument were compared to that of a conventional scanning NIR spectrometer.  ... 
doi:10.1081/asr-120016293 fatcat:ynam4fwnjjhrjmfz5ijkijsuq4

Fast Tracking of Adulterants and Bacterial Contamination in Food via Raman and Infrared Spectroscopies: Paving the Way for a Healthy and Safe World

Raj Kumar Sen, K. Karthikeyan, Priyanka Prabhakar, Jeet Vishwakarma, Gaurav Gupta, S. N. Mishra, Alka Mishra, J. P. Chaurasia, S. A. R. Hashmi, D.P. Mondal, Pratima R Solanki, Avanish Kumar Srivastava (+2 others)
2022 Sensors & Diagnostics  
While the various methods are available to detect food adulterants,...  ...  Food adulteration adversely affects the human health. Therefore, its fast and accurate detection is essentially required to alleviate health concerns.  ...  Acknowledgments The authors Raj Kumar Sen and Jeet Vishwakarma are thankful to the Council of Scientific and Industrial Research (CSIR), India for the award of the Junior Research Fellowship.  ... 
doi:10.1039/d1sd00046b fatcat:chcn7grh3bh2zl63dungijbv54

Fraud in Animal Origin Food Products: Advances in Emerging Spectroscopic Detection Methods over the Past Five Years

Abdo Hassoun, Ingrid Måge, Walter F. Schmidt, Havva Tümay Temiz, Li Li, Hae-Yeong Kim, Heidi Nilsen, Alessandra Biancolillo, Abderrahmane Aït-Kaddour, Marek Sikorski, Ewa Sikorska, Silvia Grassi (+1 others)
2020 Foods  
It is the aim of the present manuscript to review the state-of-the-art research advances since 2015 regarding the use of analytical methods applied to detect fraud in food products of animal origin, with  ...  methods, provenance, and processing of food products.  ...  Acknowledgments: This work was supported by the Norwegian Institute of Food, Fisheries, and Aquaculture Research (Nofima) through a Strategic Research Initiative (Spectec Project): Rapid and Non-Destructive  ... 
doi:10.3390/foods9081069 pmid:32781687 fatcat:dhxn3wats5efhifobhxdssxhuu

Fingerprinting food: current technologies for the detection of food adulteration and contamination

David I. Ellis, Victoria L. Brewster, Warwick B. Dunn, J. William Allwood, Alexander P. Golovanov, Royston Goodacre
2012 Chemical Society Reviews  
Fingerprinting food: current technologies for the detection of food adulteration and contamination Major food adulteration and contamination events seem to occur with some regularity  ...  , such as the widely publicised adulteration of milk products with melamine and the recent microbial contamination of vegetables across Europe for example.  ...  JWA would like to thank the EU for experimental funding as part of the Framework VI initiative within the META-PHOR project (FOOD-CT-2006-036220).  ... 
doi:10.1039/c2cs35138b pmid:22729179 fatcat:4cag7wl7hrek7k6eis7oigy7x4

Near-Infrared Spectroscopy in Bio-Applications

Krzysztof B. Beć, Justyna Grabska, Christian W. Huck
2020 Molecules  
Attention is given to link the bio-application potential of NIR spectroscopy with its fundamental characteristics and principal features of NIR spectra.  ...  of NIR spectra), which made notable impact on its applicability.  ...  using different methods of classification for image generation.  ... 
doi:10.3390/molecules25122948 pmid:32604876 fatcat:eis3e2iqajd7tny2g4rmiw7qsa

Detection of Oil-Containing Dressing on Salad Leaves Using Multispectral Imaging

Viprav B Raju, Edward Sazonov
2020 IEEE Access  
a classification accuracy of 84.20%.  ...  A combination of visible (VIS) and infrared (IR) wavelengths, selected using SFS, showed the greatest potential for discrimination between groups containing oil and groups that do not contain oil with  ...  A combination of NIR and VIS wavelengths produces an acceptable level of accuracy suggesting that multispectral analysis could indeed open new possibilities in dietary assessment.  ... 
doi:10.1109/access.2020.2992326 fatcat:tgx3jsrrpjfo5ib3mvfwjx7scu
« Previous Showing results 1 — 15 out of 165 results