Effects of Hydrogen Partial Pressure on Boron-Doped Hydrogenated Amorphous Silicon (a-Si:H(B)) Properties

Khelifati, N.; Cherfi, Rabah; Keffous, A.; Rahal, Akram; Kechouane, M.

doi:10.4028/www.scientific.net/msf.609.81

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…[18][19][20]. This explanation is confirmed by a previous experimental study performed in our laboratory on aSi:H(B) films prepared at different hydrogen pressure [21]. …”

Section: Dark Conductivity (σ D ) Photoconductivity (σ Ph ) and Annesupporting

confidence: 78%

The annealing temperature effect on the electrical properties of boron‐doped hydrogenated amorphous silicon a‐Si:H(B)

Khelifati

Tata

Rahal

et al. 2010

Phys. Status Solidi (c)

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“…[18][19][20]. This explanation is confirmed by a previous experimental study performed in our laboratory on aSi:H(B) films prepared at different hydrogen pressure [21]. …”

Section: Dark Conductivity (σ D ) Photoconductivity (σ Ph ) and Annesupporting

confidence: 78%

The annealing temperature effect on the electrical properties of boron‐doped hydrogenated amorphous silicon a‐Si:H(B)

Khelifati

Tata

Rahal

et al. 2010

Phys. Status Solidi (c)

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“…These peaks are attributed to Si-B stretching mode, B-O-Si, Si-O-Si, S-OH vibration mode, and -OH bonding, respectively. [166,221,222] The peak at 800 and 940 cm -1 is enhanced in HDMS and indicates boron incorporation in Si lattice. Also, the reduction in Si-O-Si indicates a decrease in oxidation.…”

Section: Gene Expression Analysis By Rt-pcrmentioning

confidence: 99%

Defect Induced Semiconductor Probes for Ultrasensitive Detection of Metastatic Cancer

Dharmalingam

2024

Preprint

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<p>Metastasis, a secondary tumor, behaves distinctly different from its state-of-origin. Aggressive metastasis comprises a diverse heterogeneous population; demonstrates varying molecular mechanisms. Hence, critical to investigate the heterogeneity of a metastatic cancer cell at a single-cell level. So far, available detection methods depend on bulk tumor samples lose the heterogeneity inherited in metastatic cancers, making them incapable of detection. Consequently, there exists no technique to detect metastatic cancers. Surface-enhanced Raman scattering (SERS), a label-free bioanalytical technique, can obtain the spectral fingerprints of biomolecules from cells. However, conventional SERS focuses on plasmonic metal structures depending on hot spots requires an expensive methodology and difficult procedures that result in low reproducibility and stability. As a new alternative, semiconductors recently evolved with good stability, reproducibility, and biocompatibility for SERS applications. However, limited due to low detection and enhancement efficiency. This thesis introduced a new phenomenon of defect-induced functionalization in semiconductor materials to transform non-SERS materials to SERS active quantum/nano-sized probes. The unique functionalization activates the probes by tuning the concentration of surface and subsurface defects for ultrasensitive molecule detection. Different types of defects such as oxygen vacancy, interstitial defects, and dopants impart plasmonic resonance in semiconductor probes in addition to the charge-transfer mechanism. Thus, we first explored a collective behavior of intrinsic defects in probes as a sensing platform for molecular-level detection. Incorporating defects gives semiconductors other distinct properties such as multiple wavelength activity, non-degradable SERS activity, and detection of low-cross section cancer biomolecules. In addition, surface defects impart anionic property, increase biocompatible nature for safe adherence and penetration, permitting intracellular readout of biomarker signals. The diagnostic transformation signals accurately pointed to metastatic cancer and differentiated them from other cancer and normal cells. This study then focused on the primary cause of the development of metastatic cancer called cancer stem cells. Very scarce in number, we then focused on developing the sensing platform to capture these populations and magnify the trace cues present. This study presents underlying key targets that lead to the development of most cancer-related deaths and enhances the chance to increase the cancer prognosis improving clinical outcomes.</p>

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Predicting Metastasis from Cues of Metastatic Cancer Stem-like Cells-3D-Ultrasensitive Metasensor at a Single-Cell Level

2021

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Metastasis is the primary reason for treatment failure and cancer-related deaths. Hence forecasting the disease in its primary state can advance the prognosis. However, existing techniques fail to reveal the tumor heterogeneity or its evolutionary cascades; hence they are not feasible to predict the onset of metastatic cancer. The key to metastasis originates from the primary tumor cells, evolving by inheriting multistep sequential cue signals. We have identified this specific population, termed metastatic cancer stem-like cells (MCSCs), to foresee cancer’s ability to metastasize. An invasive property renders MCSCs nonadherent, summoning a powerful technique to forecast metastasis. Thus, we have generated an ultrasensitive 3D-metasensor to efficiently capture and investigate MCSCs and magnify the vital premetastatic signals from a single cell. We developed 3D-metasensor by an ultrafast laser ionization technique, consisting of self-assembled three-dimensionally organized nanoprobes incorporated with dopant functionalities. This distinct methodology establishes attachment with nonadherent MCSCs, elevates Raman activity, and enables probing of consequent signals (metabolic, proliferation, and metastatic) specifically altered in MCSCs. Extensive analysis using prediction toolsthe area under the curve (AUC) and principal component analysis (PCA)revealed high sensitivity (100%) and specificity (80%) to differentiate the MCSCs from other populations. Further, investigation reveals that the cue signal level from MCSCs of primary cancer is analogous to MCSCs from higher-level tumors, disclosing the relative dependence to estimate the primary tumor’s capacity to metastasize. Multiple spectrum evaluation using the metasensor pinpoint the dynamic cues in MCSCs predict the onset of metastasis; thus, exploring these metastasis hallmarks can enhance prognosis and revolutionize therapy strategies.

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Effects of Hydrogen Partial Pressure on Boron-Doped Hydrogenated Amorphous Silicon (a-Si:H(B)) Properties

Cited by 3 publications

References 17 publications

The annealing temperature effect on the electrical properties of boron‐doped hydrogenated amorphous silicon a‐Si:H(B)

The annealing temperature effect on the electrical properties of boron‐doped hydrogenated amorphous silicon a‐Si:H(B)

Defect Induced Semiconductor Probes for Ultrasensitive Detection of Metastatic Cancer

Predicting Metastasis from Cues of Metastatic Cancer Stem-like Cells-3D-Ultrasensitive Metasensor at a Single-Cell Level

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