Literature DB >> 28602750

Single molecule Raman spectroscopic assay to detect transgene from GM plants.

Ulhas S Kadam1, Rahul L Chavhan2, Burkhard Schulz3, Joseph Irudayaraj4.   

Abstract

Substantial concerns have been raised for the safety of transgenics on human health and environment. Many organizations, consumer groups, and environmental agencies advocate for stringent regulations to avoid transgene products' contamination in food cycle or in nature. Here we demonstrate a novel approach using surface enhanced Raman spectroscopy (SERS) to detect and quantify transgene from GM plants. We show a highly sensitive and accurate quantification of transgene DNA from multiple transgenic lines of Arabidopsis. The assay allows us to detect and quantify the transgenes as low as 0.10 pg without need for PCR-amplification. This technology is relatively cheap, quick, simple, and suitable for detection at low target concentration.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Biosensors; CaMV-35S; Genetically modified plants (GMOs); NPTII gene; Surface-enhanced Raman spectroscopy (SERS); T-DNA; Transgene detection

Mesh:

Substances:

Year:  2017        PMID: 28602750     DOI: 10.1016/j.ab.2017.06.002

Source DB:  PubMed          Journal:  Anal Biochem        ISSN: 0003-2697            Impact factor:   3.365


  3 in total

1.  Raman Spectroscopy Enables Confirmatory Diagnostics of Fusarium Wilt in Asymptomatic Banana.

Authors:  Stephen Parlamas; Paul K Goetze; Dillon Humpal; Dmitry Kurouski; Young-Ki Jo
Journal:  Front Plant Sci       Date:  2022-06-15       Impact factor: 6.627

2.  Assessment of genetic diversity and volatile content of commercially grown banana (Musa spp.) cultivars.

Authors:  Vidya R Hinge; Irfan M Shaikh; Rahul L Chavhan; Abhijit S Deshmukh; Rahul Mahadev Shelake; Sandip A Ghuge; Amol M Dethe; Penna Suprasanna; Ulhas Sopanrao Kadam
Journal:  Sci Rep       Date:  2022-05-13       Impact factor: 4.996

3.  Raman Spectroscopy and Machine Learning for Agricultural Applications: Chemometric Assessment of Spectroscopic Signatures of Plants as the Essential Step Toward Digital Farming.

Authors:  Charles Farber; Dmitry Kurouski
Journal:  Front Plant Sci       Date:  2022-04-26       Impact factor: 6.627

  3 in total

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