Integrative Review of Dietary Choice Revealed by fMRI: Considerations for Obesity Prevention and Weight-Loss Education

An advance in novel intelligent sensory technologies: From an implicit-tracking perspective of food perception

Food sensory evaluation mainly includes explicit and implicit measurement methods. Implicit measures of consumer perception are gaining significant attention in food sensory and consumer science as they provide effective, subconscious, objective analysis. A wide range of advanced technologies are now available for analyzing physiological and psychological responses, including facial analysis technology, neuroimaging technology, autonomic nervous system technology, and behavioral pattern measurement. However, researchers in the food field often lack systematic knowledge of these multidisciplinary technologies and struggle with interpreting their results. In order to bridge this gap, this review systematically describes the principles and highlights the applications in food sensory and consumer science of facial analysis technologies such as eye tracking, facial electromyography, and automatic facial expression analysis, as well as neuroimaging technologies like electroencephalography, magnetoencephalography, functional magnetic resonance imaging, and functional near-infrared spectroscopy. Furthermore, we critically compare and discuss these advanced implicit techniques in the context of food sensory research and then accordingly propose prospects. Ultimately, we conclude that implicit measures should be complemented by traditional explicit measures to capture responses beyond preference. Facial analysis technologies offer a more objective reflection of sensory perception and attitudes toward food, whereas neuroimaging techniques provide valuable insight into the implicit physiological responses during food consumption. To enhance the interpretability and generalizability of implicit measurement results, further sensory studies are needed. Looking ahead, the combination of different methodological techniques in real-life situations holds promise for consumer sensory science in the field of food research.

Pancreatic lipase and alpha-glucosidase inhibitors screening from Schisandra chinensis based on spectrum-effect relationship and ultra-high-performance liquid chromatography-tandem mass spectrometry

As a traditional Chinese medicine, Schisandra chinensis has a potential weight-loss effect by delaying carbohydrate absorption and improving lipid metabolic disorders. However, its active components are still unclear and require in-depth research. In this study, the active components of Schisandra chinensis responsible for pancreatic lipase and alpha-glucosidase inhibitory activity were screened and identified based on a spectrum-effect relationship study in combination with ultra-performance liquid chromatography-tandem mass spectrometry analysis. The ultra-high-performance liquid chromatography fingerprints of 17 batches of Schisandra chinensis were established, and 14 common peaks were specified by similarity analysis. The half-maximal inhibition concentration values for pancreatic lipase and alpha-glucosidase inhibition were separately measured by enzymatic reactions. Using multivariate statistical methods including principal component analysis, partial least square analysis, and grey relational analysis, the correlation models between the peak areas of 14 common peaks and half-maximal inhibition concentration values were constructed, and the chromatographic peaks making a great contribution to efficacy were screened out. Peak1, Peak2, Peak4, Peak6, Peak9, Peak10, Peak11, and Peak13 were responsible for alpha-glucosidase inhibitory activity, while Peak1, Peak4, Peak6, Peak9, Peak10, and Peak11 for pancreatic lipase inhibitory activity. Finally, the 70% ethanol extracts of Schisandra chinensis were characterized by ultra-high-performance liquid chromatography-tandem mass spectrometry analysis, and 14 lignans were identified to further elucidate the active constituents of Schisandra chinensis. The positive results suggested the proposed strategy is simple and effective to screen active components from complex medicinal plants.

Drivers of Research Outcomes in Developing Countries: The Case of Lebanon

This paper uses a unique dataset from Lebanon, a developing country with unstable political conditions, to explore the drivers of research outcomes. We use the Negative Binomial model to empirically examine the determinants of the total number of publications and single and co-authored articles. The results indicate that males are more likely to publish co-authored papers than females. Moreover, our findings show a quadratic relationship between age and the number of published papers with a peak at the age of 40. After this turning point, the publication rate starts to decrease at an increasing rate. When we run the model by gender, we find that females in large departments tend to publish more co-authored papers. We also find that full professors tend to publish more papers in Q1 and Q2 journals, while associate professors have more papers in Q2 and Q3 journals.

Neuroimaging of Sex/Gender Differences in Obesity: A Review of Structure, Function, and Neurotransmission

While the global prevalence of obesity has risen among both men and women over the past 40 years, obesity has consistently been more prevalent among women relative to men. Neuroimaging studies have highlighted several potential mechanisms underlying an individual’s propensity to become obese, including sex/gender differences. Obesity has been associated with structural, functional, and chemical alterations throughout the brain. Whereas changes in somatosensory regions appear to be associated with obesity in men, reward regions appear to have greater involvement in obesity among women than men. Sex/gender differences have also been observed in the neural response to taste among people with obesity. A more thorough understanding of these neural and behavioral differences will allow for more tailored interventions, including diet suggestions, for the prevention and treatment of obesity.