Results 61 to 70 of about 11,839 (290)

Guidelines for Detecting the Foodborne Antibiotic‐Resistant Bacteria

open access: yesAgriFood: Journal of Agricultural Products for Food, EarlyView.
ABSTRACT Foodborne antibiotic‐resistant bacteria threaten global public health and the economic. Standardized detection methods are crucial for effective prevention and control. Researchers encounter difficulties in choosing suitable techniques due to the variety of available approaches and the intricate nature of resistance mechanisms.
Yuanye Zeng, Fengxia Yang
wiley   +1 more source

Functional and pasting properties of wheat/tigernut pomace flour blends and sensory attributes of wheat/tigernut pomace flour meat pie

open access: yesCroatian Journal of Food Science and Technology, 2019
This study investigated the functional and pasting properties of wheat and tigernut pomace flour blends, as well as the sensory attributes of the meat pie obtained from the composite flour.
IDOWU MICHAEL AYODELE   +4 more
doaj   +1 more source

Effect of Soybean Flour on Physico-chemical, Functional, and Rheological Properties of Composite Flour from Rice, Sweet Potato, and Potato [PDF]

open access: yes, 2016
Three composite flours were prepared by combining rice flour, potato starch, sweet potato flour, soybean flour, and xanthan gum in the ratio of 30: 15: 50: 4.5: 0.5; 30: 15: 45: 9.5: 0.5; and 30: 15: 40: 14.5: 0.5, were analysed for selected physical ...
Elisa Julianti   +3 more
core   +1 more source

Foreign labor, peer‐networking and agricultural efficiency in the Italian dairy sector

open access: yesAgribusiness, EarlyView.
Abstract While the presence of immigrants in the agricultural sector is widely acknowledged, the empirical evidence on its economic consequences is lacking, especially from a microeconomic perspective. Using the Farm Accountancy Data Network panel data for Italian dairy farms in the period 2008–2018, the present study investigates the relationship ...
Federico Antonioli   +2 more
wiley   +1 more source

Flowability and physical properties of wheat-unripe plantain (Musa paradisiaca) composite flour [PDF]

open access: yes, 2018
This study investigated the flowability and physical properties of composite flour made from wheat flour mixed with unripe plantain flour at different ratios (70:30, 80:20 and 90:10, respectively and 100% wheat flour as control).
Yusof, Y.A.   +7 more
core   +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

Physicochemical and sensory characteristics of a breakfast cereal made from sprouted finger millet-maize composite flour

open access: yesCogent Food & Agriculture
The study examined the utilization of sprouted finger millet-maize composite flour in breakfast cereal production, with a focus on its physicochemical, functional, and sensory attributes.
Reuben Acheampong   +4 more
doaj   +1 more source

Physicochemical Properties of Gluten Free Composite Flour

open access: yes
Konsumsi tepung dengan kandungan gluten telah menyebabkan pemicu celiac disease. Diet penggunaan gluten dapat dilakukan dengan menggunakan tepung bebas gluten. Pembuatan tepung komposit bebas gluten dapat dilakukan dengan menggunakan pangan lokal seperti
Hutajulu, Petrus Oktavianus   +2 more
core   +1 more source

Functional Properties of Sorghum-Peanut Composite Flour [PDF]

open access: yes, 1991
Raw and heat-processed partially defatted peanut flour, sorghum flour, and their composite flour had different functional properties (water and oil absorption, viscosity, gelation, emulsion capacity, nitrogen solubility index [NSI] and protein ...
Singh, B, Singh, U
core  

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy