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학술지 Spread Spectrum SERS Allows Label-free Detection of Attomolar Neurotransmitters
Cited 53 time in scopus Download 679 time Share share facebook twitter linkedin kakaostory
저자
이원경, 강병훈, 양현우, 박문성, 곽지현, 정태린, 정용, 김봉규, 정기훈
발행일
202101
출처
Nature Communications, v.12, pp.1-10
ISSN
2041-1723
출판사
Nature Research
DOI
https://dx.doi.org/10.1038/s41467-020-20413-8
협약과제
18HS1900, 고품질 생체정보 획득 분석을 위한 단층 이미징 및 인식 센서 기술 연구, 채병규
초록
The quantitative label-free detection of neurotransmitters provides critical clues in understanding neurological functions or disorders. However, the identification of neurotransmitters remains challenging for surface-enhanced Raman spectroscopy (SERS) due to the presence of noise. Here, we report spread spectrum SERS (ss-SERS) detection for the rapid quantification of neurotransmitters at the attomolar level by encoding excited light and decoding SERS signals with peak autocorrelation and near-zero cross-correlation. Compared to conventional SERS measurements, the experimental result of ss-SERS shows an exceptional improvement in the signal-to-noise ratio of more than three orders of magnitude, thus achieving a high temporal resolution of over one hundred times. The ss-SERS measurement further allows the attomolar SERS detection of dopamine, serotonin, acetylcholine, 款-aminobutyric acid, and glutamate without Raman reporters. This approach opens up opportunities not only for investigating the early diagnostics of neurological disorders or highly sensitive biomedical SERS applications but also for developing low-cost spectroscopic biosensing applications.
KSP 제안 키워드
Cross-Correlation, Experimental Result, High temporal resolution, Highly sensitive, Label-Free Detection, Low-cost, Neurological disorders, Orders of magnitude, SERS detection, Signal noise ratio(SNR), Signal-to-Noise
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