{"title":"基于还原氧化石墨烯/金纳米粒子的 PCA3 超灵敏电阻式传感器","authors":"Shivam Kumar , Nikita Bhandari , Sudhanshu Shukla , Ruma Ghosh","doi":"10.1016/j.biosx.2024.100481","DOIUrl":null,"url":null,"abstract":"<div><p>Early prostate cancer detection can be improved by detecting more specific markers like PCA3 RNA. This study reports a novel and simple method for detecting PCA3 RNA using a sensor based on reduced graphene oxide (RGO), gold nanoparticles (AuNP), and a single-stranded DNA (ssDNA). The device was characterized at each fabrication step using atomic force microscopy (AFM) and field emission scanning electron microscopy (FESEM). The RGO/AuNP/ssDNA sensor exhibited a significant change in resistance (6.51–15.01%) when exposed to varying concentrations of PCA3 (0.1–100 ng/mL). The developed device showed selective response towards PCA3 (14.5% for 50 ng/mL) when compared with negative controls like phosphate buffer saline solution (0.28%), PCA3-negative control sample (1.03%), RNA extracted from lung cancer (0.88%), and breast cancer (1.17%) cell lines. The RGO/AuNP/ssDNA sensor could also be employed to quantify the PCA3 RNA present in the RNA mixture extracted from a prostate cancer cell line and the observed findings were in excellent agreement with semi-quantitative real-time polymerase chain reaction (RT-PCR) results.</p></div>","PeriodicalId":260,"journal":{"name":"Biosensors and Bioelectronics: X","volume":"18 ","pages":"Article 100481"},"PeriodicalIF":10.6100,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590137024000451/pdfft?md5=abf5a3157ce8d6ec754e1e4ec9828ee8&pid=1-s2.0-S2590137024000451-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Reduced graphene oxide/gold nanoparticles based ultrasensitive resistive sensor for PCA3\",\"authors\":\"Shivam Kumar , Nikita Bhandari , Sudhanshu Shukla , Ruma Ghosh\",\"doi\":\"10.1016/j.biosx.2024.100481\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Early prostate cancer detection can be improved by detecting more specific markers like PCA3 RNA. This study reports a novel and simple method for detecting PCA3 RNA using a sensor based on reduced graphene oxide (RGO), gold nanoparticles (AuNP), and a single-stranded DNA (ssDNA). The device was characterized at each fabrication step using atomic force microscopy (AFM) and field emission scanning electron microscopy (FESEM). The RGO/AuNP/ssDNA sensor exhibited a significant change in resistance (6.51–15.01%) when exposed to varying concentrations of PCA3 (0.1–100 ng/mL). The developed device showed selective response towards PCA3 (14.5% for 50 ng/mL) when compared with negative controls like phosphate buffer saline solution (0.28%), PCA3-negative control sample (1.03%), RNA extracted from lung cancer (0.88%), and breast cancer (1.17%) cell lines. The RGO/AuNP/ssDNA sensor could also be employed to quantify the PCA3 RNA present in the RNA mixture extracted from a prostate cancer cell line and the observed findings were in excellent agreement with semi-quantitative real-time polymerase chain reaction (RT-PCR) results.</p></div>\",\"PeriodicalId\":260,\"journal\":{\"name\":\"Biosensors and Bioelectronics: X\",\"volume\":\"18 \",\"pages\":\"Article 100481\"},\"PeriodicalIF\":10.6100,\"publicationDate\":\"2024-04-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2590137024000451/pdfft?md5=abf5a3157ce8d6ec754e1e4ec9828ee8&pid=1-s2.0-S2590137024000451-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biosensors and Bioelectronics: X\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2590137024000451\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Biochemistry, Genetics and Molecular Biology\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biosensors and Bioelectronics: X","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590137024000451","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
Reduced graphene oxide/gold nanoparticles based ultrasensitive resistive sensor for PCA3
Early prostate cancer detection can be improved by detecting more specific markers like PCA3 RNA. This study reports a novel and simple method for detecting PCA3 RNA using a sensor based on reduced graphene oxide (RGO), gold nanoparticles (AuNP), and a single-stranded DNA (ssDNA). The device was characterized at each fabrication step using atomic force microscopy (AFM) and field emission scanning electron microscopy (FESEM). The RGO/AuNP/ssDNA sensor exhibited a significant change in resistance (6.51–15.01%) when exposed to varying concentrations of PCA3 (0.1–100 ng/mL). The developed device showed selective response towards PCA3 (14.5% for 50 ng/mL) when compared with negative controls like phosphate buffer saline solution (0.28%), PCA3-negative control sample (1.03%), RNA extracted from lung cancer (0.88%), and breast cancer (1.17%) cell lines. The RGO/AuNP/ssDNA sensor could also be employed to quantify the PCA3 RNA present in the RNA mixture extracted from a prostate cancer cell line and the observed findings were in excellent agreement with semi-quantitative real-time polymerase chain reaction (RT-PCR) results.
期刊介绍:
Biosensors and Bioelectronics: X, an open-access companion journal of Biosensors and Bioelectronics, boasts a 2020 Impact Factor of 10.61 (Journal Citation Reports, Clarivate Analytics 2021). Offering authors the opportunity to share their innovative work freely and globally, Biosensors and Bioelectronics: X aims to be a timely and permanent source of information. The journal publishes original research papers, review articles, communications, editorial highlights, perspectives, opinions, and commentaries at the intersection of technological advancements and high-impact applications. Manuscripts submitted to Biosensors and Bioelectronics: X are assessed based on originality and innovation in technology development or applications, aligning with the journal's goal to cater to a broad audience interested in this dynamic field.