Intelligent Screening of Prostate Cancer Individuals Using an Enzyme‐Assisted Multicolor Visualization Platform

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<sup>-6</sup> m, boasting a remarkable detection limit of 0.12 × 10<sup>-6</sup> m. The RGB value of the display color can be directly extracted using a mobile phone camera. PCa diagnosis can be swiftly made (within 15 min) and directly by identifying two RGB colors (R < 175 or B > 135). The enzyme-assisted multicolor intelligent visualization platform is adept at detecting minute differences in Sar concentration in urine samples between PCa patients and healthy individuals. The concept of enzyme-assisted multicolor sensing can be further expanded by modifying the type of immobilized enzymes, providing a valuable guideline for the rational design of multiple probes to measure specific biomarkers in biological samples.

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Publication Details

Journal
Advanced Science
Published
2024-11-08
DOI
https://doi.org/10.1002/advs.202408825
Citations
16
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
3.74

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article

Intelligent Screening of Prostate Cancer Individuals Using an Enzyme‐Assisted Multicolor Visualization Platform

Zejun Yan, Dingyuan Zhang, Youju Huang, Caiping Ding et al.
16 citations
Advanced Science
Metabolomics and Mass Spectrometry Studies
3.74
article

Intelligent Screening of Prostate Cancer Individuals Using an Enzyme‐Assisted Multicolor Visualization Platform

Zejun Yan, Dingyuan Zhang, Youju Huang, Caiping Ding, Ming Li, Yuhan Zhang, Hang Li, Jianli Lin, Zikang Chen, Ruomei Teng
article en
16 citations

Abstract

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<sup>-6</sup> m, boasting a remarkable detection limit of 0.12 × 10<sup>-6</sup> m. The RGB value of the display color can be directly extracted using a mobile phone camera. PCa diagnosis can be swiftly made (within 15 min) and directly by identifying two RGB colors (R < 175 or B > 135). The enzyme-assisted multicolor intelligent visualization platform is adept at detecting minute differences in Sar concentration in urine samples between PCa patients and healthy individuals. The concept of enzyme-assisted multicolor sensing can be further expanded by modifying the type of immobilized enzymes, providing a valuable guideline for the rational design of multiple probes to measure specific biomarkers in biological samples.

Advanced ScienceVol. 12(1)
Ningbo University (CN), Hangzhou Normal University (CN), Affiliated Hospital of Hangzhou Normal University (CN), Ningbo First Hospital (CN)
National Natural Science Foundation of China, Hangzhou Normal University
Good health and well-being
Openalex Percentile: Top 6%
Metabolomics and Mass Spectrometry Studies
3.74
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