Raman Spectroscopic Study on Phosphorous-Doped Silicon Nanoparticles

Momose, Miho; Hirasaka, Masao; Furukawa, Yukio

doi:10.1366/13-07431

Cited by 6 publications

(6 citation statements)

References 19 publications

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“…By performing this analysis, SiNPs can be distinguished from the cell interior. It is known, that the cell interior is emitting the Raman bands of the protein-backbone vibrations, while SiNPs show the characteristic Raman peak at 520 cm −1 [ 17 , 72 , 73 , 74 ]. Thus, by picking up the spectrum of interest from the set of clusters, two clusters, corresponding to the SiNPs (depicted in red) and to the protein composition of the cells (depicted in blue), have been detected (see Figure 3 a).…”

Section: Resultsmentioning

confidence: 99%

Linear and Non-Linear Optical Imaging of Cancer Cells with Silicon Nanoparticles

Tolstik

Осминкина

Akimov

et al. 2016

IJMS

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New approaches for visualisation of silicon nanoparticles (SiNPs) in cancer cells are realised by means of the linear and nonlinear optics in vitro. Aqueous colloidal solutions of SiNPs with sizes of about 10–40 nm obtained by ultrasound grinding of silicon nanowires were introduced into breast cancer cells (MCF-7 cell line). Further, the time-varying nanoparticles enclosed in cell structures were visualised by high-resolution structured illumination microscopy (HR-SIM) and micro-Raman spectroscopy. Additionally, the nonlinear optical methods of two-photon excited fluorescence (TPEF) and coherent anti-Stokes Raman scattering (CARS) with infrared laser excitation were applied to study the localisation of SiNPs in cells. Advantages of the nonlinear methods, such as rapid imaging, which prevents cells from overheating and larger penetration depth compared to the single-photon excited HR-SIM, are discussed. The obtained results reveal new perspectives of the multimodal visualisation and precise detection of the uptake of biodegradable non-toxic SiNPs by cancer cells and they are discussed in view of future applications for the optical diagnostics of cancer tumours.

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Section: Resultsmentioning

confidence: 99%

Linear and Non-Linear Optical Imaging of Cancer Cells with Silicon Nanoparticles

Tolstik

Осминкина

Akimov

et al. 2016

IJMS

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“…The recovered band position and FWHM are in agreement with previous literature reports for aSi. 40 The second band was associated with SiNCs; the band peak frequency, FWHM, and amplitude were all position dependent. This is indicative of SiNCs that differ in size and size distribution within the specimen.…”

Section: Resultsmentioning

confidence: 98%

“…Table 1 collects previously reported band positions for cSi and aSi 24,25,31,33,40–43 along with our recovered values for an authentic cSi sample and aSi (vide infra). Figures 4a to 4f present the Raman spectra recorded at each numbered position shown in Fig.…”

Section: Resultsmentioning

confidence: 99%

Interplay Between Silicon Nanocrystal Size and Local Environment Within Porous Silicon on the Analyte-Dependent Photoluminescence Response

Matthews

Bright

2019

Appl Spectrosc

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Porous silicon (pSi) exhibits strong photoluminescence (PL) and its PL is often exploited for chemical sensor development. However, the sensor response is not uniform across a pSi specimen. We use co-localized confocal PL and Raman scattering mapping to establish a relationship between the analyte-induced PL response and the silicon nanocrystallite size, size distribution, and amorphous silicon (aSi) contribution across a pSi specimen. Using toluene as a model analyte, high analyte-induced PL response is associated with areas within the specimen that have (i) low aSi content, (ii) silicon nanocrystallites having diameters between 2 and 5 nm, and (iii) silicon nanocrystallites that exhibit a narrow size distributions (≤1% relative standard deviation).

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“…30 Beyond FT-IR spectroscopy of ice, doped silicon is also know to exhibit an amorphous layer, which is 1 nm thick, and its Raman signature is distinct of that of the bulk. 31 Practically, measuring the FT-IR/Raman spectra of the surface of crystals is quite difficult, for two reasons primarily. First, except for the very smallest of crystal sizes, there is a small amount of surface in relation to the bulk.…”

Section: Discussionmentioning

confidence: 99%

“…[27][28][29][30] Silicon nanoparticles are also known to have a layer of surface disorder which can be differentiated from the bulk using Raman spectroscopy and transmission electron microscopy. 31…”

Section: Introductionmentioning

confidence: 99%

Dependence of Raman Spectral Intensity on Crystal Size in Organic Nano Energetics

2016

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Raman spectra for various nitramine energetic compounds were investigated as a function of crystal size at the nanoscale regime. In the case of 2,4,6,8,10,12-hexanitro-2,4,6,8,10,12-hexaazaisowurtzitane (CL-20), there was a linear relationship between intensity of Raman spectra and crystal size. Notably, the Raman modes between 120 cm(-1) and 220 cm(-1) were especially affected, and at the smallest crystal size, were completely eliminated. The Raman spectral intensity of octahydro-1,3,5,7-tetranitro-1,3,5,7-tetrazocine (HMX), like that of CL-20's, depended linearly on crystal size. The Raman spectral intensity of 1,3,5-trinitroperhydro-1,3,5-triazine (RDX), however, was not observably changed by crystal size. A non-nitramine explosive compound, 2,4,6-triamino-1,3,5- trinitrobenzene (TATB), was also investigated. Its spectral intensity was also found to correlate linearly with crystal size, although substantially less so than that of HMX and CL-20. To explain the observed trends, it is hypothesized that disordered molecular arrangement, originating from the crystal surface, may be responsible. In particular, it appears that the thickness of the disordered surface layer is dependent on molecular characteristics, including size and conformational flexibility. Furthermore, as the mean crystal size decreases, the volume fraction of disordered molecules within a specimen increases, consequently, weakening the Raman intensity. These results could have practical benefit for allowing the facile monitoring of crystal size during manufacturing. Finally, these findings could lead to deep insights into the general structure of the surface of crystals.

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Raman Spectroscopic Study on Phosphorous-Doped Silicon Nanoparticles

Cited by 6 publications

References 19 publications

Linear and Non-Linear Optical Imaging of Cancer Cells with Silicon Nanoparticles

Linear and Non-Linear Optical Imaging of Cancer Cells with Silicon Nanoparticles

Interplay Between Silicon Nanocrystal Size and Local Environment Within Porous Silicon on the Analyte-Dependent Photoluminescence Response

Dependence of Raman Spectral Intensity on Crystal Size in Organic Nano Energetics

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