Results 71 to 80 of about 408,081 (161)

Untangling Mephedrone‐Induced Social Reward in Rats—The Involvement of Oxytocin and Vasopressin V1A Receptors

Genes, Brain and Behavior, Volume 25, Issue 4, August 2026.
Social context alters the neurochemical and neuropeptidergic mechanisms of mephedrone reward, revealing a dual regulation by monoamines and oxytocin/vasopressin signaling in brain regions critical for reinforcement. ABSTRACT The rewarding effects of psychostimulants are strongly influenced by social context, yet the underlying neurochemical and ...
Olga Wronikowska‐Denysiuk, Łukasz Kurach, Radosław Mlak, Dominika Przygodzka, Tymoteusz Słowik, Barbara Budzyńska   +5 more
wiley   +1 more source

Adulteration of cow's milk with buffalo's milk detected by an on-site carbon nanoparticles-based lateral flow immunoassay

, 2021
A competitive lateral flow immunoassay using amorphous carbon nanoparticles (CNPs) and non-immunoglobulin antigen has been developed for the rapid detection of adulteration of cow's milk with buffalo's milk.
Shinde, Nitin, Gandhi, Kamal, Mann, Bimlesh, Wichers, Jan H., van Amerongen, Aart, Sharma, Rajan, Verma, Archana   +6 more
core   +1 more source

Physicochemical and Sensory Properties of Phyllo Pastry: Effects of Steam‐Assisted Baking and Vegetable Oils

Journal of Food Process Engineering, Volume 49, Issue 8, August 2026.
Steam‐assisted baking (115°C, 60% RH) improved moisture retention and reduced weight loss in hand‐stretched phyllo pastry. Among the vegetable oils evaluated, canola oil provided a balanced physicochemical and sensory performance, supporting its potential use in healthier traditional bakery products.
Gokce Cakmak Kafadar, Zeynep Ece Kulaksiz Günaydi, Mustafa Kesici   +2 more
wiley   +1 more source

Integration and Implementation of Machine Learning & Artificial Intelligence in Surface‐Enhanced Raman Spectroscopy

Advanced Sensor Research, Volume 5, Issue 7, July 2026.
This review examines recent advances in surface‐enhanced Raman spectroscopy (SERS) for molecular detection, enabled by artificial intelligence and machine learning. Emphasis is given to the data‐driven workflow of representation, preprocessing, modeling, and validation. Applications across biomedical, environmental, drug, food, and pathogen domains are
Netrapal Singh, Ba Thong Trinh, Sy Khiem Nguyen, Khanh Viet Nguyen, Changwook Kim, Byeonggwan Kim, Youngku Sohn, Ilsun Yoon   +7 more
wiley   +1 more source

Rapid Turbidimetric Detection of Milk Powder Adulteration with Plant Proteins

, 2016
Development of assays to screen milk for economically motivated adulteration with foreign proteins has been stalled since 2008 due to strong international reactions to the melamine poisoning incident in China and the surveillance emphasis placed on low ...
Magdi M. Mossoba (1844182), Samantha M. Farris (1844176), Peter F. Scholl (1844179)   +2 more
core   +2 more sources

Prevalence of Adulteration and Inhibitory Substances in Raw and Pasteurized Milk Marketed in Nairobi Region

, 2018
The prevalence of milk adulteration with water and inhibitory substances in Nairobi was determined. Milk samples were collected randomly at milk selling points from three market areas: rural (Kiambu/Ngong’), urban (East/West of Tom Mboya street) and slum
Mathooko, F. M., Mathara, J. M., Wanjala, G. W., Kutima, P. M.   +3 more
core   +1 more source

Voltammetric fingerprint using hydroxyl-functionalized multiwalled carbon nanotubes modified electrode combined with chemometrics analysis for detection of cow milk adulteration with coconut milk and corn starch

Discover Food
The milk adulteration with cheaper or potentially hazardous substances poses a significant health risk to consumers and results in fatalities which have been reported in several countries, including China and Australia.
Shelly Hafira Nikma, Mohamad Rafi, Budi Riza Putra, Wulan Tri Wahyuni   +3 more
doaj   +1 more source

A comprehensive approach for milk adulteration detection using inherent bio-physical properties as ‘Universal Markers’: Towards a miniaturized adulteration detection platform

, 2017
This paper proposes a novel milk quality detection approach based on utilization of inherent biophysical properties as ‘markers’ for adulteration. Unlike the traditional adulterant-specific approaches, this method is generic and universal.
Vanjari, Siva Rama Krishna, Tripathy, S, Ghole, A R, Singh, Shiv Govind, Deep, K   +4 more
core   +1 more source

Milk adulteration: A chronic fear of real time

, 2017
Milk is a vital commodity in every day existence. It isn't always only a source of accurate first-rate protein, however additionally of calcium and riboflavin besides other vitamins.
Niha Khan, Manish Chittora*
core   +1 more source

Integration of high-throughput fluorescence and UV–vis spectroscopy for goat milk adulteration detection: comparison of one-class, binary classification and regression models

Applied Food Research
Adulteration of goat milk with cow milk has become an increasingly prevalent issue, highlighting the urgent need for rapid, non-destructive, and reliable authentication methods.
Lijuan Du, Guangbin Cui
doaj   +1 more source