Results 21 to 30 of about 3,349,947 (304)

Willingness-to-pay for ready-to-eat clean label food products at convenient stores

open access: yesFuture Foods, 2023
Clean label food products using natural and fresh ingredients with minimal additives have gained popularity in the market. In this study, four types of ready-to-eat clean label food products [red bean bread (bread category), rosemary chicken lunch (lunch
Jane Lu Hsu   +2 more
doaj   +2 more sources

Encapsulation Strategies for Natural Bioactives in Clean-Label Meat Preservation: A Review [PDF]

open access: yesFoods
The increasing demand for clean-label meat products has accelerated interest in natural bioactive compounds, including essential oils, plant polyphenols, and bacteriocins, as alternatives to synthetic preservatives.
Guliz Haskaraca, Hatice Sıçramaz
doaj   +2 more sources

Cell-Free Supernatant of Lactiplantibacillus plantarum 90: A Clean Label Strategy to Improve the Shelf Life of Ground Beef Gel and Its Bacteriostatic Mechanism [PDF]

open access: yesFoods, 2023
Lactic acid bacteria metabolites can be used as a clean-label strategy for meat products due to their “natural” and antibacterial properties. In this study, the feasibility of using cell-free supernatant of Lactiplantibacillus plantarum 90 (LCFS) as a ...
Wang J   +6 more
europepmc   +2 more sources

Ultrasound assisted natural deep eutectic solvents based sustainable extraction of Spirulina platensis and orange peel extracts for the development of strawberry-cantaloupe based novel clean-label functional drink [PDF]

open access: yesUltrasonics Sonochemistry
The consumer demand for sustainable, nutrient-rich, and clean-label beverages is growing rapidly, so there is an urgent need to meet this demand. In response, the present study introduced the new concept of clean-label functional foods and beverages. The
Kashmala Chaudhary   +7 more
doaj   +2 more sources

Tenebrio molitor as a Clean Label Ingredient to Produce Nutritionally Enriched Food Emulsions. [PDF]

open access: yesInsects, 2023
Simple Summary Tenebrio molitor flour, a sustainable source of protein and bioactive compounds, was used as a clean label ingredient in order to reformulate a commercial hummus sauce.
Aybar M   +5 more
europepmc   +2 more sources

Emerging ingredients for clean label products and food safety [PDF]

open access: yesBrazilian Journal of Food Technology
Emerging markets comprise different healthy food products, such as functional foods including grains, fruits, and vegetables; foods for people with dietary restrictions; foods with clean labels, plant-based and organic ingredients, as well as ingredient ...
Elizabeth Harumi Nabeshima   +3 more
doaj   +2 more sources

Clean-Label Backdoor Attacks: A Survey

open access: yesIEEE Access
Backdoor attacks against neural networks allow adversaries to implant hidden behaviors that are activated at inference time while preserving high performance on clean inputs.
Lior Yasur   +3 more
doaj   +2 more sources

BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label [PDF]

open access: yesACM Multimedia, 2022
Due to its powerful feature learning capability and high efficiency, deep hashing has achieved great success in large-scale image retrieval. Meanwhile, extensive works have demonstrated that deep neural networks (DNNs) are susceptible to adversarial ...
Shengshan Hu   +6 more
semanticscholar   +2 more sources

Effects of OsomeFood Clean Label plant-based meals on the gut microbiome [PDF]

open access: yesBMC Microbiology, 2023
Background Plant-based diets offer more beneficial microbes and can modulate gut microbiomes to improve human health. We evaluated the effects of the plant-based OsomeFood Clean Label meal range (‘AWE’ diet), on the human gut microbiome.
Dwiyanto Jacky   +6 more
doaj   +2 more sources

Clean-Label Backdoor Attacks on Video Recognition Models [PDF]

open access: yes2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
Deep neural networks (DNNs) are vulnerable to backdoor attacks which can hide backdoor triggers in DNNs by poisoning training data. A backdoored model behaves normally on clean test images, yet consistently predicts a particular target class for any test
Shihao Zhao   +5 more
semanticscholar   +5 more sources

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