Results 1 to 10 of about 364,960 (271)

Safety evaluation of synthesised DNA oligonucleotides as a food additive. [PDF]

open access: yesEFSA J, 2023
The EFSA Panel on Food Additives and Flavourings (FAF) was requested to evaluate the safety of synthesised DNA oligonucleotides as a new food additive, in accordance with Regulation (EC) No 1331/2008. Considering that the additional information requested
EFSA Panel on Food Additives and Flavourings (FAF)   +27 more
europepmc   +2 more sources

Safety evaluation of the food additive steviol glycosides, predominantly Rebaudioside M, produced by fermentation using Yarrowia lipolyticaVRM. [PDF]

open access: yesEFSA J, 2023
The EFSA Panel on Food Additive and Flavourings (FAF Panel) provides a scientific opinion on the safety of a new process to produce steviol glycosides by fermentation of simple sugars using a genetically modified strain of Yarrowia lipolytica (named Y ...
EFSA Panel on Food Additives and Flavourings (FAF)   +31 more
europepmc   +2 more sources

Extraction and Detection Method of Lutein Ester in Bakery Food

open access: yesShipin gongye ke-ji, 2022
In order to detect the lutein esters in bakery products and select the extraction solvents without ether, this paper studied the saponification time, KOH concentration of lutein esters in bakery products, and the extraction effect of different extraction
Xia WANG, Jinjin ZHU, Yanping CAO
doaj   +1 more source

Considerations for Applying Route-to-Route Extrapolation to Assess the Safety of Oral Exposure to Substances

open access: yesBiomolecules, 2022
The safety evaluation of oral exposure to substances, such as food ingredients, additives, and their constituents, relies primarily on a careful evaluation and analysis of data from oral toxicity studies.
Shruti V. Kabadi   +3 more
doaj   +1 more source

Low–Temperature Storage and the Viability Preservation of Streptomyces [PDF]

open access: yesТехника и технология пищевых производств, 2018
The most effective way to store microorganisms of different taxonomic groups is at low temperatures from minus 12°C to minus 150°C. The present research features the influence of low temperature (minus 12°C and 18°C) on the viability of collection ...
Vybornova T., Sharova N., Printseva A.
doaj   +1 more source

Research on the Relationships between the Aroma of Sachima and the Contents of Egg

open access: yesLiang you shipin ke-ji, 2020
The Sachima samples with different egg contents (0%, 10%, 20% and 30%) were prepared in order to explore the contributions of egg content to aroma of Saqima.
YANG Ping, YOU Meng-chen, SONG Huan-lu
doaj   +1 more source

Sequential process optimization for a digital light processing system to minimize trial and error

open access: yesScientific Reports, 2022
In additive manufacturing, logical and efficient workflow optimization enables successful production and reduces cost and time. These attempts are essential for preventing fabrication problems from various causes.
Jae Won Choi   +5 more
doaj   +1 more source

Inhibitory Effect of Bacillus subtilis p5-6 Against Staphylococcus aureus on Different States of Medium

open access: yesScience Technology and Engineering Journal (STEJ), 2021
The aim of this research was to investigate the inhibitory effect of Bacillus subtilis P5-6 against Staphylococcus aureus on different states of standard medium with the presence of sodium chloride at 5% (v/v), to develop an effective ...
Hoang Truc Anh To   +1 more
doaj   +1 more source

Aroma Identification and Classification in 18 Kinds of Teas (Camellia sinensis) by Sensory Evaluation, HS-SPME-GC-IMS/GC × GC-MS, and Chemometrics

open access: yesFoods, 2023
Tea (Camellia sinensis) is one of the most popular beverages worldwide. Many types of tea products continuously emerge in an endless stream; so, the classification of tea becomes more difficult. Aroma is a vital indicator of tea quality.
Yanping Lin   +4 more
doaj   +1 more source

Diffusion Model with Clustering-based Conditioning for Food Image Generation [PDF]

open access: yes, 2023
Image-based dietary assessment serves as an efficient and accurate solution for recording and analyzing nutrition intake using eating occasion images as input. Deep learning-based techniques are commonly used to perform image analysis such as food classification, segmentation, and portion size estimation, which rely on large amounts of food images with
arxiv   +1 more source

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