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Researchers at Henan Agricultural University in Zhengzhou, China have developed a fluorescent probe for the rapid and selective detection of foodborne spores, which pose a serious threat to food safety and human health. The probe, based on lanthanide ion-labeled nano-silver-modified graphene oxide, was loaded onto a microfiltration membrane and used to create a portable paper visual sensor. The sensor achieved rapid and real-time detection of spores, with a detection limit of 10 cfu/mL. The study provides important technological support for reducing foodborne diseases and improving food safety. [Extracted from the article]

Trust relationship is an effective basis for reducing the dimensionality of decision makers (DMs) for group decision making (GDM) problems in the context of social networks, and have received extensive attention in the past few years. However, most existing studies describe the trust relationship only from the single perspective of the interpersonal relationships between DMs, which easily leads to inaccurate decision-making results. In this paper, we propose a dynamic consensus method using a dual-trust relationship-based social network (DTRSN) to solve large group emergency decision-making (LGEDM) problems. First, to more accurately reflect the trust relationship among DMs, a DTRSN based on familiarity-based trust and similarity-based trust is developed, which can comprehensively model the interpersonal relationships and opinion similarity between DMs simultaneously. Next, a DTRSN-based clustering method that considers dual-trust relationships is introduced to divide the large-group DMs into several clusters. Subsequently, to improve the efficiency of LGEDM, the exit-delegation mechanism is modified and introduced into our study, which can speed up consensus by excluding some subgroups whose opinions differ greatly from other subgroups and reserve their influence. Subsequently, a dynamic consensus method based on the modified exit-delegation mechanism is proposed to help DMs reach an agreement quickly. Finally, a case study regarding emergency alternative selection to deal with heavy rainstorms in Zhengzhou, China, is conducted to verify the efficiency of our study, and several comparison and simulation analyses are also conducted to demonstrate the feasibility and practicality of the proposed method. [ABSTRACT FROM AUTHOR]

Researchers at Henan Agricultural University in Zhengzhou, China have identified the polyphenol components of flaxseed and studied their antibacterial effects and mechanisms of action against pathogenic bacteria. The study found that 14 phenolic acids and 15 flavonoids were identified in flaxseed, with sinapic acid and quercetin accounting for over 42.67% of the polyphenol extract. The flaxseed polyphenol extract demonstrated a strong inhibitory effect on the growth of both common food-borne pathogens and non-food-borne pathogens. The study provides valuable insights into the composition of flaxseed polyphenol and its potential applications. [Extracted from the article]

Researchers at Henan Agricultural University in Zhengzhou, China have conducted a study on sustainable agricultural practices and soil analysis. The researchers found that conventional statistical analysis tools are not sufficient for analyzing soil data in real time and making accurate predictions. They propose the use of artificial intelligence (AI), deep learning (DL), and machine learning (ML) platforms to improve soil analysis and develop predictive models. The study concludes that AI processing is more suitable for analyzing geospatial non-numeric data and may help soil scientists develop a global soil water content (SWC) database. [Extracted from the article]

Keywords: Zhengzhou; People's Republic of China; Asia; Food Products; Science EN Zhengzhou People's Republic of China Asia Food Products Science 89 89 1 06/12/23 20230615 NES 230615 2023 JUN 15 (NewsRx) -- By a News Reporter-Staff News Editor at Food Weekly News -- New research on Science is the subject of a report. For more information on this research see: Effects of food formulation on bioavailability of phytosterols: phytosterol structures, delivery carriers, and food matrices. [Extracted from the article]