Results 91 to 100 of about 7,594 (220)
Listeria monocytogenes—Can We Reduce or Eliminate It From Food Commodities?
Listeria monocytogenes is a foodborne pathogen responsible for listeriosis. Traditional control methods include heat treatment, high‐pressure processing, irradiation, and acidification, all aimed at reducing bacterial load in foods. Emerging strategies include gene expression, CRISPR‐Cas9, bacteriophage, competitive exclusion via beneficial microbes ...
Loredana d'Ovidio +5 more
wiley +1 more source
Honey, a sweet and nutritious food produced by honeybees, is extensively consumed by humans due to its potential health benefits. Unfortunately, the adulteration of honey with inexpensive sugar syrups is a prevalent issue.
Viviana Paiano +7 more
doaj +1 more source
A realization of classification success in multi sensor data fusion [PDF]
The field of measurement technology in the sensors domain is rapidly changing due to the availability of statistical tools to handle many variables simultaneously.The phenomenon has led to a change in the approach of generating dataset from sensors ...
Hamid, Hashibah +6 more
core
Comparative study of the physicochemical and palynological characteristics of honey from Melipona subnitida and Apis mellifera [PDF]
Twenty-four samples of Apis mellifera honey and twenty-four samples of Melipona subnitida (Jandaira) honey were collected in the northeast of Brazil.
Acquarone +48 more
core +1 more source
ABSTRACT Introduction The relationship between obesity and chronic pain (CP) is complex. Obesity is associated with increased pain‐related disability, pain intensity, worse physical functioning, and poorer psychological well‐being. Aims The aim of this qualitative evidence synthesis (QES) was to systematically review and synthesize the qualitative ...
Natasha S. Hinwood +9 more
wiley +1 more source
Detection of honey adulteration using machine learning
Honey adulteration is a growing concern due to its health benefits and high nutritional content. Traditional methods like Melissopalynology are ineffective in detecting adulterated honey. This research presents a comparative study of machine learning algorithms for detecting adulteration in honey.
openaire +2 more sources
Recent Advances of Nanomaterials in Electrochemical Enzyme‐Free Glucose Sensors
This review systematically surveys electrochemical nonenzymatic glucose sensors published between 2020 and 2024. They are classified into transition metal‐derived nanomaterials, carbon‐based nanocomposites and polymeric materials. Their sensor design, analytical parameters and fabrication technologies are detailedly summarized, along with the ...
Yanli Yu, Meihui Sang, Yueling Liu
wiley +1 more source
Propolis: antimicrobial activity, phenolic compounds and role in the inflammation [PDF]
Propolis is a beehive product prepared by bees of the Apis mellifera species, using resinous substances collected from various plants. These substances are mixed with β-glycosidase enzyme of their saliva, partially digested and added to bee wax to form
Dias, L.G. +3 more
core
Prediction of Adulteration in Honey Using Rheological Parameters
Honey is a sweet substance that can be adulterated easily with inexpensive sweeteners by making syrup. Water being the second major constituent of honey, makes its flow behavior one of the important parameter for quality determination. In the present study, the rheological characteristics of honey samples adulterated with different concentrations of ...
Uma Kamboj, Sunita Mishra
openaire +1 more source

