To address challenges in antibiotic wastewater treatment, we synthesized a series of graphitic carbon nitride (g-C₃N₄)-based photocatalysts (BCN, PCN, TCN, BTCN, and TCNE-modified PTCN) via defect engineering. TCNE modification disrupted the triazine ring-bridging amino network in PTCN, forming a porous structure with enhanced specific surface area validated by SEM/TEM while retaining the graphene-like framework confirmed by XRD/FTIR. Photoluminescence (PL) analysis revealed prolonged photogenerated carrier lifetime and improved separation efficiency in PTCN, achieving 89.10% degradation of chlortetracycline hydrochloride under visible light—1.65-fold higher than pristine g-C₃N₄. Mechanistic studies identified superoxide radicals (•O₂⁻) as dominant active species, generated via O₂ activation at defect sites and efficient electron-hole utilization. Optimized conditions enabled PTCN to maintain high activity across a broad pH range and retain 82.59% efficiency after five cycles. This work advances defect-engineered photocatalyst design for adaptable, high-performance antibiotic degradation, offering practical insights for wastewater remediation.

The system of signal acquisition and processing in industrial CT can transfer analog signals outputted by X-ray linear array detector into digital signals and transmit them into computer after uniformity in order to supply data for the image reconstruction of measured object, which plays an important part in CT. This paper designs a system that can do parallel acquisition and processing for four differential signals based on FPGA+ARM processing architecture. It designs signal conditioning circuit and A/D circuit to achieve parallel acquisition of pixel signal with high speed. Besides, it reaches two-point calibration method by FPGA to do uniform calibration on pixel. And ARM transfers data into computer through network. This experiment indicates that systematic acquisition is quick with the result of the raising of CT scanning speed; the uniformity of pixel has good effect and the image uniformity is improved obviously.

This paper illustrates a preliminary research about the optical non-contact fingerprint sample method. There are some defects in contact fingerprint sample method. This paper attempts to change cemented doublet combination into super-doublet combination of hemispherical immersion lens. Through using the combination of super-hemispherical immersion lens, CCD camera, and the optical non-contact method to achieve a complete, clear fingerprint image.

This study established a chromatographic fingerprint analysis method for aged rock tea using ultra‐high performance liquid chromatography–mass spectrometry (UPLC–MS) technology to profile its chemical components. The chromatographic separation showed excellent performance, with more than 30 chemical components of common peaks identified. Comparative analysis of fingerprint profiles from different vintage‐aged teas revealed significant differences in similarity, allowing classification into three distinct categories based on similarity indices. This method facilitates the classification of aged teas and quality evaluation of traditional Chinese medicinal materials. Component analysis of aged tea demonstrated that tea extracts are rich in flavonoid compounds, both in content and diversity, serving as a primary dietary source of total flavonoids. In subsequent animal experiments, functional flavonoids derived from aged tea extracts exhibited positive regulatory effects against multiple free radicals, including ·OH, H ₂ O ₂ , DPPH ⁻ , and ABTS, in vitro. In vivo studies showed that these flavonoids reduced malondialdehyde (MDA) levels in the cerebral cortex of Alzheimer’s disease (AD) mice, enhanced the activities of superoxide dismutase (SOD), peroxidase (POD), and catalase (CAT), mitigated oxidative damage, and improved cognitive dysfunction in AD mice. This research provides crucial references for future studies on traditional Chinese medicines aimed at ameliorating cognitive dysfunction.