Results 61 to 70 of about 21,877 (274)
Buying Practices and Prevalence of Adulteration in Selected Food items in a Rural Area of Wardha District: A Cross - Sectional Study [PDF]
Introduction: Food adulteration in India includes both willful adulteration and substandard food which do not confirm to prescribe food standard. There is striking paucity of reliable data with regard to extent of adulteration and documentation of food ...
Chaudhary, S +4 more
core +1 more source
Vision system and electronic tongue application to detect coffee adulteration with barley [PDF]
Time consuming and expensive methods have been applied for detection of coffee adulteration based on the literature. In the present work, an optical method (vision system) and the application of an electronic tongue is proposed to reveal the addition of ...
Dénes, L. +7 more
core +1 more source
ABSTRACT Transnational education (TNE) and the accelerating internationalisation of higher education demand pedagogical approaches that support deep learning across diverse contexts. Constructive alignment (CA) is widely adopted to align learning outcomes, teaching and assessment; however, its underlying constructivist rationale has weakened, creating ...
Samir Alamad
wiley +1 more source
Recent methods in detection of olive oil adulteration: State-of- the-Art
Olive oils have high consumption due to their health benefits and also owe higher economic value and a grwing demand in the market. However, blending lower grade oils with virgin olive oil can harm its nutritional value and market value.
Fataneh Hashempour-baltork +7 more
doaj +1 more source
Developing systems to control food adulteration [PDF]
The objective of this study is to explore the current strategies available to monitor and detect the economically and criminally motivated adulteration of food, identifying their strengths and weaknesses and recommend new approaches and policies to ...
Manning, Louise, Soon, Jan Mei
core +1 more source
Adversarial Attacks on Deep Neural Networks for Time Series Classification [PDF]
Time Series Classification (TSC) problems are encountered in many real life data mining tasks ranging from medicine and security to human activity recognition and food safety.
Fawaz, Hassan Ismail +4 more
core +1 more source
Abstract Honeybees (Apis mellifera L.) are an important class of insects that are the most beneficial in terms of economy. Beeswax is the second most important bee products after honey. Its commercial importance is due to its antimicrobial, antioxidant, anti‐inflammatory and antiseptic as well as regenerative properties.
Rajshri Naveen, Manickam Loganathan
wiley +1 more source
Artificial Intelligence (AI) techniques have evolved into practical, fast and effective tools in combination with detecting devices for quality assessment, particularly in adulteration and deficiency detection in the food and agriculture industry.
Suhaili Othman +4 more
doaj +1 more source
Real‐time quality and safety monitoring of fruit juice using paper‐based platform
Schematic illustration of a paper‐based biosensor for rapid detection of fruit juice spoilage. Abstract Food spoilage and safety concerns still remain critically challenging within the fruit juice industry, especially as conventional detection methods, though precise, are often too time‐consuming, costly, and reliant on centralized laboratories.
Priti Das +4 more
wiley +1 more source
The adulteration of goat milk powder occurs frequently; cattle-derived and soybean-derived ingredients are common adulterants in goat milk powder. However, simultaneously and rapidly detecting cattle-derived and soybean-derived components is still a ...
Yuanjun Wen +4 more
doaj +1 more source

