Results 51 to 60 of about 9,929 (269)
A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali +5 more
wiley +1 more source
Visual features, numerical descriptors, and controlled textual attributes extracted from smartphone images of Chenpi are integrated by VALIANT, a tailored multimodal framework for simultaneous storage‐age classification and authenticity verification. The workflow distinguishes genuine products from suspicious standard operating procedure mimics while ...
Simon C. K. Chan +5 more
wiley +1 more source
Rapid and Onsite Detection of Fuel Adulteration
In numerous developing countries, the lower cost of subsidized liquid fuels such as kerosene compared to market-rate fuels often results in fuel adulteration. Such misuse of kerosene is hard to detect with conventional detection technologies because they
Shantanu Jathar (1741012) +4 more
core +2 more sources
Fish DNA Sensors for Authenticity Assessment—Application to Sardine Species Identification
Food and fish adulteration is a major public concern worldwide. Apart from economic fraud, health issues are in the forefront mainly due to severe allergies.
Myrto Kakarelidou +4 more
doaj +1 more source
Pracaxi Oil as a Potential Inhibitor of Fat Bloom
ABSTRACT Fat bloom is one of the major technological challenges faced by the chocolate industry, caused by the polymorphic transition from β2(V) to β1(VI) crystals in cocoa butter (CB). One strategy to slow down this polymorphic transition is the addition of lipids rich in very long chain fatty acids (VLCFA), such as behenic acid.
Victoria Marques Gropelli +4 more
wiley +1 more source
The study was carried out keeping in view the recently emerging concern of adulteration of natural honey on the honey markets. This study intended to investigate honey adulteration detection using physical and chemical composition to achieve a foreign ...
Teferi Damto +2 more
doaj +1 more source
Mid-infrared spectroscopic detection of sunflower oil adulteration with safflower oil
The oil industry is in need of rapid analysis techniques to differentiate mixtures of safflower-sunflower oils from pure oils. The current adulteration detection methods are generally cumbersome and detection limits are questionable.
O. Uncu, B. Ozen, F. Tokatli
doaj +1 more source
ABSTRACT The rapid expansion of the global avocado oil market has intensified concerns about economic adulteration with lower‐cost, high‐oleic seed oils that resemble the fatty acid specifications of avocado oil. Cis‐vaccenic acid C18:1 (n−7) occurs at higher proportions in avocado oil than in common seed oil adulterants, making it a promising ...
Donpon Wannasin, Selina C. Wang
wiley +1 more source
Detection and Classification of Honey Adulteration Combined with Multivariate Analysis
Honey is a natural sweetener with a yellowish substance made up of bee secretions and plant nectar extracts. Main composition of honey are sugars or carbohydrates and water in the chemical composition and contain a great number of minor components such ...
Abdul Rani, Rozina +4 more
core
ABSTRACT Some consumers exhibit aversion toward artificial intelligence (AI), particularly when it is embedded in persuasive marketing communication (MarCom). Here, we developed and validated a measure of consumer aversion to AI in MarCom and examined its downstream consequences for brand perceptions and purchase intention.
Louvins Pierre +2 more
wiley +1 more source

