The reliability of colorimetry is precise(ly) as expected.

Figure S6. Gene ontology (GO) analysis of the differentially expressed genes between C1 and C2. (JPG 403 kb

Underliquid Superlyophobic Copper-Coated Meshes for the Separation of Immiscible Organic Liquid Mixtures

Superwettable materials have been studied extensively and successfully applied in various forms liquid separation. However, because of low surface tension differences, organic liquids (OLs) exhibit approximate wettability on most of the material surfaces, and the separation of OL mixtures remains a challenge. The current separation method for OL mixtures is mainly dependent on covalent modification to precisely control the surface energy of the membranes, which is extremely complicated. Herein, we demonstrate a novel concept of underliquid superlyophobicity for the separation of immiscible OLs mixtures, which only depend on a relatively stable liquid–repellent interface. Furthermore, the minimum system’s free-energy principle was used to explain this wetting behavior. Different from the previous reports, the method of separation of OL mixtures does not involve various low-surface-energy materials, thus it is facile and eco-friendly. Our research provides a general strategy for the efficient separation of immiscible OLs mixtures and is expected to promote the development of superwettable materials for multiphase liquid separation

Underliquid Superlyophobic Copper-Coated Meshes for the Separation of Immiscible Organic Liquid Mixtures

Superwettable materials have been studied extensively and successfully applied in various forms liquid separation. However, because of low surface tension differences, organic liquids (OLs) exhibit approximate wettability on most of the material surfaces, and the separation of OL mixtures remains a challenge. The current separation method for OL mixtures is mainly dependent on covalent modification to precisely control the surface energy of the membranes, which is extremely complicated. Herein, we demonstrate a novel concept of underliquid superlyophobicity for the separation of immiscible OLs mixtures, which only depend on a relatively stable liquid–repellent interface. Furthermore, the minimum system’s free-energy principle was used to explain this wetting behavior. Different from the previous reports, the method of separation of OL mixtures does not involve various low-surface-energy materials, thus it is facile and eco-friendly. Our research provides a general strategy for the efficient separation of immiscible OLs mixtures and is expected to promote the development of superwettable materials for multiphase liquid separation

Underliquid Superlyophobic Copper-Coated Meshes for the Separation of Immiscible Organic Liquid Mixtures

Superwettable materials have been studied extensively and successfully applied in various forms liquid separation. However, because of low surface tension differences, organic liquids (OLs) exhibit approximate wettability on most of the material surfaces, and the separation of OL mixtures remains a challenge. The current separation method for OL mixtures is mainly dependent on covalent modification to precisely control the surface energy of the membranes, which is extremely complicated. Herein, we demonstrate a novel concept of underliquid superlyophobicity for the separation of immiscible OLs mixtures, which only depend on a relatively stable liquid–repellent interface. Furthermore, the minimum system’s free-energy principle was used to explain this wetting behavior. Different from the previous reports, the method of separation of OL mixtures does not involve various low-surface-energy materials, thus it is facile and eco-friendly. Our research provides a general strategy for the efficient separation of immiscible OLs mixtures and is expected to promote the development of superwettable materials for multiphase liquid separation

Underliquid Superlyophobic Copper-Coated Meshes for the Separation of Immiscible Organic Liquid Mixtures

Superwettable materials have been studied extensively and successfully applied in various forms liquid separation. However, because of low surface tension differences, organic liquids (OLs) exhibit approximate wettability on most of the material surfaces, and the separation of OL mixtures remains a challenge. The current separation method for OL mixtures is mainly dependent on covalent modification to precisely control the surface energy of the membranes, which is extremely complicated. Herein, we demonstrate a novel concept of underliquid superlyophobicity for the separation of immiscible OLs mixtures, which only depend on a relatively stable liquid–repellent interface. Furthermore, the minimum system’s free-energy principle was used to explain this wetting behavior. Different from the previous reports, the method of separation of OL mixtures does not involve various low-surface-energy materials, thus it is facile and eco-friendly. Our research provides a general strategy for the efficient separation of immiscible OLs mixtures and is expected to promote the development of superwettable materials for multiphase liquid separation

Additional file 1: of Comparative analysis of robotic gastrectomy and laparoscopic gastrectomy for gastric cancer in terms of their long-term oncological outcomes: a meta-analysis of 3410 gastric cancer patients

Search strategies. (DOCX 15 kb

Facile preparation of colorful liquid marbles and liquid marbles used in water pollutant detection

<p>Liquid marbles are drops coated with a hydrophobic powder. Different liquid marbles can be easily distinguished by the diverse color appearance. Here, we first demonstrate colorful liquid marbles, which were encapsulated with colored superhydrophobic stearate powders. A simple method was used to generate colorful superhydrophobic stearate powders via chemical reactions between sodium stearate and inorganic salts. In addition, the contact angle meter was used to monitor the horizontal profiles of liquid marbles to investigate the lifetime of liquid marbles on the stainless steel surface at room conditions. More important, we have described a proof of qualitative detection of oil pollution and measured the minimum detection limit of some water-soluble pollutants by liquid marbles.</p

Underliquid Superlyophobic Copper-Coated Meshes for the Separation of Immiscible Organic Liquid Mixtures

Superwettable materials have been studied extensively and successfully applied in various forms liquid separation. However, because of low surface tension differences, organic liquids (OLs) exhibit approximate wettability on most of the material surfaces, and the separation of OL mixtures remains a challenge. The current separation method for OL mixtures is mainly dependent on covalent modification to precisely control the surface energy of the membranes, which is extremely complicated. Herein, we demonstrate a novel concept of underliquid superlyophobicity for the separation of immiscible OLs mixtures, which only depend on a relatively stable liquid–repellent interface. Furthermore, the minimum system’s free-energy principle was used to explain this wetting behavior. Different from the previous reports, the method of separation of OL mixtures does not involve various low-surface-energy materials, thus it is facile and eco-friendly. Our research provides a general strategy for the efficient separation of immiscible OLs mixtures and is expected to promote the development of superwettable materials for multiphase liquid separation

DataSheet1_Construction of an original anoikis-related prognostic model closely related to immune infiltration in gastric cancer.ZIP

Background: Anoikis is considered as a particular type of programmed cell death, the weakness or resistance of which contributes greatly to the development and progression of most malignant solid tumors. However, the latent impact of anoikis-related genes (ARGs) on gastric cancer (GC) is still ambiguous. Based on these, this study established an anoikis-related prognostic model of GC to identify the prognosis of patients and provide more effective treatment in clinical practice.Methods: First, we extracted four public datasets containing the gene expression and clinicopathological information of GC, which were worked as the training and validating sets, separately. Then, an anoikis-related survival-predicted model of GC was developed via Lasso and COX regression analyses and verified by using the Kaplan-Meier (KM) curve and receiver operating characteristic (ROC) curve analyses. Next, we assigned GC patients to two groups characterized by the risk score calculated and analyzed somatic mutation, functional pathways, and immune infiltration between the different two groups. Finally, a unique nomogram was offered to clinicians to forecast the personal survival probability of GC patients.Results: Based on seven anoikis-related markers screened and identified, a carcinogenic model of risk score was produced. Patients placed in the high-score group suffered significantly worse overall survival (OS) in four cohorts. Additionally, the model revealed a high sensitivity and specificity to prognosticate the prognoses of GC patients [area under the ROC curve (AUC) at 5-year = 0.713; GSE84437, AUC at 5-year = 0.639; GSE15459, AUC at 5-year = 0.672; GSE62254, AUC at 5-year = 0.616]. Apart from the excellent predictive performance, the model was also identified as an independent prediction factor from other clinicopathological characteristics. Combining anoikis-related prognostic model with GC clinical features, we built a more comprehensive nomogram to foresee the likelihood of survival of GC patients in a given year, showing a well-accurate prediction performance.Conclusion: In summary, this study created a new anoikis-related signature for GC, which has potentially provided new critical insights into survival prediction and individualized therapy development.</p