A Surface-Enhanced Raman Spectroscopy-Based Aptasensor for the Detection of Deoxynivalenol and T-2 Mycotoxins
The quality of food is one of the emergent points worldwide. Many microorganisms produce toxins that are harmful for human and animal health. In particular, mycotoxins from Fusarium fungi are strictly controlled in cereals. Simple and robust biosensors are necessary for 'in field' control of the crops and processed products. Nucleic acid-based sensors (aptasensors) offer a new era of point-of-care devices with excellent stability and limits of detection for a variety of analytes. Here we report the development of a surface-enhanced Raman spectroscopy (SERS)-based aptasensor for the detection of T-2 and deoxynivalenol in wheat grains. The aptasensor was able to detect as low as 0.17% of pathogen fungi in the wheat grains. The portable devices, inexpensive SERS substrate, and short analysis time encourage further implementation of the aptasensors outside of highly equipped laboratories.
Authors
- Elena Zavyalova (ORCID: https://orcid.org/0000-0001-5260-1973)
- Dmitrii Pankin (ORCID: https://orcid.org/0000-0003-3114-3410)
- Anastasia Povolotckaia (ORCID: https://orcid.org/0000-0003-2678-474X)
- Rugiya Alieva
- Vasiliy S. Novikov (ORCID: https://orcid.org/0000-0002-3304-1568)
- Maksim Nikolaevich Moskovskiy (ORCID: https://orcid.org/0000-0001-5727-8706)
- Sergey M. Kuznetsov (ORCID: https://orcid.org/0000-0002-8378-7085)
- Svetlana Sokolova (ORCID: https://orcid.org/0000-0003-3108-3630)
- Н. С. Жемчужина (ORCID: https://orcid.org/0000-0001-6374-403X)
- Anatoly Gulyaev
Institutions
- St Petersburg University (RU)
- Lomonosov Moscow State University (RU)
- Russian Research Institute for Phytopathology (RU)
- Prokhorov General Physics Institute (RU)
- Federal Scientific Agroengineering Center VIM (RU)
Publication Details
- Journal
- International Journal of Molecular Sciences
- Published
- 2024-09-02
- DOI
- https://doi.org/10.3390/ijms25179534
- Citations
- 12
- Primary Topic
- Mycotoxins in Agriculture and Food
- Type
- article
- Field-Weighted Citation Impact
- 7.20