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The prevalence and fatality rates of gastric cancer (GC) remain elevated, with advanced stages presenting a grim prognosis. Noninvasive diagnosis of GC cancer often proves challenging until the disease has progressed to an advanced stage or metastasized. Initially, the level of fibronectin (FN) in cancer-associated fibroblasts (CAFs) of GC was at least 3.7 times higher than that in normal fibroblasts. Herein, two FN-targeting magnetic resonance/near-infrared fluorescence (MR/NIRF) imaging contrast agents were developed to detect GC and peritoneal metastasis noninvasively. The probes CREKA-Cy7-(Gd-DOTA) and CREKA-Cy7-(Gd-DOTA)3demonstrated significant FN-targeting capability (with dissociation constants of 1.0 and 2.1 mM) and effective MR imaging performance (with proton relaxivity values of 9.66 and 27.44 mM–1s–1at 9.4 T, 37 °C). In vivo imaging revealed a high signal-to-noise ratio and successful visualization of GC metastasis using NIRF imaging as well as successful tumor detection in MR imaging. Therefore, this study highlights the potential of FN-targeting probes for GC diagnosis and aids in the advancement of new diagnostic strategies for the clinical detection of GC.

By using poly {[9,9-dioctyl-9H-fluorene]-alt-(1,1,2,2-tetra-phenylethene)} (POFTPE) as an electron donor, and Y6 (or C60) as electron acceptor, solution-processed bulk heterojunction optoelectronic switching devices with a configuration of ITO/POFTPE:Y6(C60)/ITO, which can respond to both the optical and electrical stimuli, have been successfully fabricated. Both the electron transfer and energy transfer from POFTPE to Y6 will occur simultaneously in the blends system under light illumination, while no energy transfer between POFTPE and C60occurs, expect for electron transfer. Both the ITO/POFTPE:Y6/ITO and ITO/POFTPE:C60/ITO devices show typical nonvolatile rewritable memory effect in the dark or under light illumination. Upon illumination with different wavelength lights, the switching bias window (Δ|VON-VOFF|), switching-on voltage and the ON/OFF current ratio of the ITO/POFTPE:Y6(5:1)/ITO device decrease with decreasing the incident light wavelength due to the increased free charge carrier concentration caused by light illumination. In contrast to the POFTPE:Y6 blends, the POFTPE:C60blends-based device measured in the dark shows smaller switch-on voltage, ON/OFF current ratio and switching bias window under the same experimental conditions. This work shows one of the very promising strategies for exploring the nonvolatile multilevel storage by tailoring optoelectronic switching and memory performance of the materials via illumination with different wavelength lights.The POFTPE:Y6(C60) blends-based solution-processed bulk heterojunction optoelectronic switching devices, which can respond to both the optical and electrical stimuli, exhibit typical nonvolatile rewritable memory effect in the dark or under light illumination.

Nanoplastics have attracted much attention due to their potential hazards. However, analysis of nanoplastics remains challenging. In this study, ionic liquid-assisted cloud-point extraction (IL-assisted CPE) was developed to enrich nanoplastics in the aqueous environment and further coupled with electromagnetic heating pyrolysis mass spectrometry. The use of trace ILs improves the extraction efficiency of CPE for nanoplastics. The effects of ILs (types, contents), nanoplastic properties (type, size), and environmental factors (aging time, humic acid content) were systematically investigated to evaluate the applicability. The limits of detection of poly(methyl methacrylate) (PMMA) and polystyrene (PS) were determined to be 1.78 and 2.67 μg/L, respectively. Real environmental samples including lake water, rainwater, and influent and effluent from wastewater treatment plant were analyzed with good accuracy (79.58–116.87%) and satisfactory precision (RSD ≤ 11.99%). A possible mechanism for ILs being absorbed into the ordered surfactant micellar and generating larger micelles to synergically enclose hydrophobic nanoplastics was proposed. This work provides a simple and efficient approach to the extraction and analysis of nanoplastics in aqueous environments.