前列腺癌
可视化
计算机科学
癌症
医学
人工智能
内科学
作者
Ruomei Teng,Ming Li,Zikang Chen,Jianli Lin,Yuhan Zhang,Hang Li,Zejun Yan,Dingyuan Zhang,Caiping Ding,Youju Huang
标识
DOI:10.1002/advs.202408825
摘要
Rapid and intelligent identification of prostate cancer (PCa) is critical for early diagnosis. Herein, a convenient, reliable, and intelligent strategy is proposed to screen PCa individuals through indirectly quantifying sarcosine (Sar), an early indicator of PCa, in clinical urine samples. Success is achieved by integrating sarcosine oxidase (SOX) as a specific recognition unit; nanozyme-assisted multicolor intelligent visualization platform as a signal reporter. With the Fe-MOFs and peroxidase, the synergetic action of SOX and response gold nanorods (Au NRs) is controlled etched to exhibit a multicolored signal. The sensor exhibits excellent linearity with Sar within 1-60 × 10
科研通智能强力驱动
Strongly Powered by AbleSci AI