No abstract

No abstract

No abstract

Gastric cancer is a malignant tumor, and its early diagnosis remains challenging due to the lack of simple and sensitive detection methods and specific biomarkers. In this work, to improve the detection reliability, we developed a dual-mode detection strategy for the detection of two biomarkers associated with it. First, an N-and S-doped carbon dots-N-rich porous carbon nanoenzyme (N/S-CDs@NC) was prepared by a two-step pyrolysis of thioureapenetrated zinc-based zeolite imidazole framework. It was then combined with the 3,3′,5,5′-tetramethylbenzidine−H 2 O 2 system for the colorimetric detection of D-amino acids (i.e., D-proline (D-Pro) and D-alanine (D-Ala)) in saliva, based on D-amino acid oxidase catalyzing D-amino acid oxidation to produce H 2 O 2 . In this way, the low detection limits (S/N = 3) of D-Pro and D-Ala were 0.14 and 0.35 μM, respectively. Furthermore, N/S-CDs@NC was combined with the luminol−H 2 O 2 electrochemiluminescence (ECL) system and magnetic immune accumulation/separation strategy to detect the carcinoembryonic antigen (CEA) in serum. The porous N/S-CDs@NC could facilitate participant contact, promote the generation of hydroxyl radical ( • OH), and electrostatically attract • OH, thereby significantly amplifying the ECL signal of luminol and improving the signal stability. Thus, the detection mode showed considerable sensitivity and selectivity, with a low detection limit of 0.26 pg mL −1 . The strategy proposed in this work can also be used for the detection of other disease markers by substituting the recognition elements, thus having good application potential.

No abstract