Results 111 to 120 of about 2,828,064 (182)

A Green Sample Preparation Procedure for Determining Proline in Honey and Wine by Visible Molecular Absorption Spectrophotometry After Microwave‐Assisted Derivatization

open access: yesChemistrySelect, Volume 11, Issue 38, 13 October 2026.
A green, simple, and rapid method quantifies proline in wine and honey. Microwave‐assisted derivatization and ultrasonic cooling drastically reduced reaction and cooling times. The validated spectrophotometric method shows high accuracy (95.7%–109.4% recovery) and is an eco‐friendly alternative, confirmed by the AGREEPrep (Analytical GReenness metric ...
Amanda de Aguiar Barreto   +6 more
wiley   +1 more source

Research on the construction of authenticity management system for food production

open access: yesZhongguo shipin weisheng zazhi
In recent years, the issue of food authenticity has increasingly become a global concern. Food adulteration, fraudulent substitution, and other practices constitutes food authenticity issues, particularly prominent in high value-added products.
LIU Peng   +5 more
doaj   +1 more source

British food journal.

open access: yes
Official organ of the International Commission on Adulteration, 1899-1901.Vol. 1-45, no. 5 also called no.
British Analytical Control.   +1 more
core  

Food adulteration

open access: yes, 1904
Citation: Monsch, Helen. Food adulteration. Senior thesis, Kansas State Agricultural College, 1904.Morse Department of Special CollectionsIntroduction: Many housekeepers spend a large part of their time plannining and preparing daily meals, in order to ...
Monsch, Helen
core  

Cuttings, Combings, Fettlings and Flock: Gender and Australian Wool ‘Waste’, 1900–1950

open access: yesGender &History, Volume 38, Issue 3, Page 859-869, October 2026.
ABSTRACT As Australia's wool industry produced vast amounts of fine fleece from the nineteenth century, the wool processing and clothes manufacturing industries generated waste – products like cuttings, combings, fettlings and flock. Salvaged and then sold to waste merchants, these and other materials had a second life.
Lorinda Cramer
wiley   +1 more source

Rapid Physicochemical Screening of Parboiled Rice Using VNIR–SWIR Spectroscopy and Chemometrics

open access: yesJournal of Food Science, Volume 91, Issue 10, October 2026.
ABSTRACT Efficient quality assessment of parboiled rice is important for industrial processing, but conventional analytical procedures are often time‐consuming, reagent‐intensive, and destructive. This study evaluated VNIR–SWIR spectroscopy combined with chemometric modeling for the rapid prediction of moisture, starch, protein, lipids, fiber, and ash ...
Nairiane dos Santos Bilhalva   +6 more
wiley   +1 more source

Transparency in Supply Chain Service Design: Assessing the Impact of Country of Seller and Country of Fulfillment Information

open access: yesJournal of Business Logistics, Volume 47, Issue 4, October 2026.
ABSTRACT To combat counterfeit or unsafe products in retail supply chains, regulations require large online retailers to disclose seller‐specific information including the country of seller (COS) and the country of order fulfillment (COF). This supply chain transparency aims to empower consumers to make more informed purchasing decisions.
Rowan Hilend   +2 more
wiley   +1 more source

Detecting adulteration in mustard oil using low-frequency dielectric spectroscopy

open access: yesResearch in Agricultural Engineering
This paper presents a dielectric spectroscopy approach for analysing the quality of food products. This study aimed to detect the adulteration in mustard oil using dielectric spectroscopy in the 1 to 10 MHz frequency range at a temperature of 30 to 50 °C.
Venkatesh Mishra   +4 more
doaj   +1 more source

Optimized Stacking Ensemble Machine Learning for Nondestructive Toxicological Risk Assessment of Fish Meat Using Hyperspectral Imaging

open access: yesJournal of Food Safety, Volume 46, Issue 5, October 2026.
Hyperspectral imaging and an optimized stacking ensemble learning model are developed for rapid, nondestructive toxicological assessment of fish meat. This framework integrated multiple machine learning classifiers to accurately distinguish toxicologically contaminated fish from fresh samples using both reduced (25‐band) and full (224‐band) spectral ...
Muhammad Aqeel   +5 more
wiley   +1 more source

Detecting Honey Adulteration: Advanced Approach Using UF-GC Coupled with Machine Learning

open access: yesSensors
This article introduces a novel approach to detecting honey adulteration by combining ultra-fast gas chromatography (UF-GC) with advanced machine learning techniques.
Irene Punta-Sánchez   +5 more
doaj   +1 more source

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