Portable sweat analysis devices for real‐time monitoring of health‐related biomarkers with great detection accuracy and high sensitivity are attracting public interest. Here, we report a flexible fabric sweat analysis devices bimetallic Metal Organic Frameworks (MOFs) for detection of glucose in sweat without any biological enzymes. The synergy between Ni2+ and Co2+ and the large surface area (424.41 m2 g−1) and high porosity (0.0542 cm3 g−1) of NiCo‐MOF make NiCo‐MOF an interesting electrode modification material in the working electrode. Furthermore, the ultra‐high porosity and huge surface area of the MOFs structure are required for electrocatalysts in alkaline media. On the basis of the above, we have developed a fabric‐based analytical patch, which is sufficient for simultaneous real‐time detection of glucose in sweat.

Aims To provide valuable information for a comprehensive understanding of the multicellular behavior of Bacillus velezensis Bs916 regulated by surfactin and other natural signals by Transcriptome. Methods and results Transcriptomics revealed a distinct effect on gene expression alterations caused by disruption of the surfactin gene cluster(Δsrf) and 100 µg/ml surfactin addition(Δsrf + SRF). A total of 1573 differential expression genes were identified among Bs916, Δsrf, and Δsrf + SRF and grouped into eight categories based on their expression profiles. RT-qPCR analysis of 30 candidate genes showed high consistency with those of transcriptome. Additionally, the expression of eight candidate genes regulated by surfactin in a dose-dependent manner was revealed by lacZ fusion. Based on the above evidence, we proposed that surfactin can act as an extracellular signal for monitoring biofilm formation in Bs916 by directly regulating the expression of AbrB, DegS-degU, and SinI-SinR, and indirectly regulating the phosphorylation of ComA and Spo0A. Conclusions The biofilm of Δsrf was unable to restore significantly by surfactin addition, combined inclusion of surfactin (SRF), exopolysaccharide (EPS), and γ-poly-dl-glutamic acid (γ-PGA), results in significant restoration of Δsrf biofilm formation, thereby a preliminary model was presented about the molecular mechanism by which the signaling molecule surfactin regulates Bs916 multicellular behavior.

The swift ascension of the sports industry can be attributed to the advancements of the contemporary era, and serves as a significant indication of the industry’s progression towards a novel phase and pinnacle. Despite a delayed inception, China’s sports industry has experienced a swift evolution and has established a unique developmental framework, thereby establishing a firm groundwork for the prospective growth of China’s sports industry. The sports industry of China is currently encountering fresh prospects for growth in the contemporary era. However, it is also confronted with formidable obstacles and strains that necessitate careful handling. To attain novel breakthroughs and advancements, it remains imperative to explore innovative perspectives and avenues. The assessment of the sports industry’s high-quality development in the new era is a classic Multiple Attribute Group Decision Making (MAGDM) problem. The TODIM and VIKOR methodologies have been employed in addressing Multiple Attribute Group Decision Making (MAGDM) challenges in current times. Fuzzy number intuitionistic fuzzy sets (FNIFS) serve as a valuable instrument in the characterization of uncertain information for the comprehensive assessment of the high-quality development of the sports industry in the contemporary era. The present manuscript introduces the construction of the fuzzy number intuitionistic fuzzy TODIM-VIKOR (FNIF-TODIM-VIKOR) method, which is designed to address multiple attribute group decision making (MAGDM) problems in the context of fuzzy number intuitionistic fuzzy sets (FNIFSs). Ultimately, a numerical case study is presented to comprehensively evaluate the high-quality development of the sports industry in the new era, in order to validate the proposed methodology.