Results 21 to 30 of about 13,422 (210)

Multispecies Adulteration Detection of Camellia Oil by Chemical Markers

open access: yesMolecules, 2018
Adulteration of edible oils has attracted attention from more researchers and consumers in recent years. Complex multispecies adulteration is a commonly used strategy to mask the traditional adulteration detection methods.
Xinjing Dou   +9 more
doaj   +1 more source

Low-Cost Microwave Sensor for Characterization and Adulteration Detection in Edible Oil

open access: yesApplied Sciences, 2022
A low-cost microwave sensor was designed for oil adulteration detection and characterization of pure edible oil using dielectric spectroscopy. The sensor’s final design was fabricated on a low cost 1.6 mm thick FR-4 substrate with a combination of a ...
Muhammad Hamza Bhatti   +3 more
doaj   +1 more source

Qualitative and quantitative detection of camellia oil adulteration based on electronic nose

open access: yesShipin yu jixie, 2023
Objective: This study aims to realize the adulteration detection of camellia oil mixed with rapeseed oil, soybean oil and corn oil. Methods: The electronic nose detection platform was used for the adulteration detection of camellia oil mixed with ...
JIANG Han   +4 more
doaj   +1 more source

Research Progress of 1H NMR-based Metabonomics for Food Adulteration and Traceability Analysis

open access: yesShipin gongye ke-ji, 2022
Due to various influences in the process of origin, processing, storage and transportation, food products are complex and changeable. Therefore, it is challenging to analyze and determine the adulteration and traceability of food.
Zhanming LI   +6 more
doaj   +1 more source

Traceability of Agri‐Food Products: The Key to Conscious Trade

open access: yesAgribusiness, EarlyView.
ABSTRACT Globalization and growing concerns about sustainability have led to improvements in product traceability, quality, and sustainability. Traceability contributes to environmental protection and supports sustainable development by fostering transparency in agricultural practices and encouraging the responsible use of resources.
Scarlett Queen Almeida Bispo   +5 more
wiley   +1 more source

Targeted and Untargeted Metabolomics as an Enhanced Tool for the Detection of Pomegranate Juice Adulteration

open access: yesFoods, 2019
Pomegranate juice is one of the most popular fruit juices, is well-known as a “superfood”, and plays an important role in healthy diets. Due to its constantly growing demand and high value, pomegranate juice is often targeted for adulteration,
Marilena E. Dasenaki   +3 more
doaj   +1 more source

Use of MALDI-TOF MS technology to evaluate adulteration of small ruminant milk with raw bovine milk

open access: yesJournal of Dairy Science, 2022
: Detection of adulteration of small ruminant milk is very important for health and commercial reasons. New analytical and cost-effective methods need to be developed to detect new adulteration practices.
L. Rysova   +8 more
doaj   +1 more source

Application of Neural Networks for Advanced Ir Spectroscopy Characterization of Ceria Catalysts Surfaces

open access: yesAdvanced Intelligent Discovery, EarlyView.
A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali   +5 more
wiley   +1 more source

Intentional Adulteration of Foods with Chemicals: Snapshot for 2009–2022

open access: yesJournal of Food Protection
Global occurrences of the intentional adulteration of food with a chemical toxicant culled from the literature and news reports from 2009 to 2022 were analyzed in terms of their ability to cause mass public health harm.
Carol A.S. Brevett, Jessica A. Cox
doaj   +1 more source

Neural Network‐Based Detection of Adulterants in Opioid Samples Using IR Absorption Spectroscopy

open access: yesDrug Testing and Analysis, EarlyView.
We construct a neural network for the classification of bromazolam and fluorofentanyl in illicit opioid samples. The model outperforms a random forest classifier and shows elevated performance for low concentration samples. ABSTRACT Community‐based drug checking services are challenged in their ability to reliably detect low concentration adulterants ...
Joshua Jai   +4 more
wiley   +1 more source

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