An experimental observation of the different behavior of ionic and neutral lines of iron as a function of number density in a binary carbon–iron mixture

Sivakumar, P.; Taleh, L.; Markushin, Yuri; Melikechi, Noureddine; Lasue, J.

doi:10.1016/j.sab.2012.11.006

Cited by 11 publications

(1 citation statement)

References 30 publications

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“…The LIBS spectra of the various blood plasma samples were obtained using the previously described experimental set-up [31]. Essentially, it consists of a CPA-Series Ti-Sapphire 150-fs laser (Clark-MXR, Model 2210) operating at 775 nm with pulse energy about 1.54 mJ per pulse focused on the sample surface to generate a laser-induced micro plasma by using a fused silica Bi-Convex lens of 50 mm focal length.…”

Section: Transgenic Mice Sample Preparation and Experimental Set-upmentioning

confidence: 99%

Age-specific discrimination of blood plasma samples of healthy and ovarian cancer prone mice using laser-induced breakdown spectroscopy

Melikechi

Markushin

Connolly

et al. 2016

Spectrochimica Acta Part B: Atomic Spectroscopy

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Epithelial ovarian cancer (EOC) mortality rates are strongly correlated with the stage at which it is diagnosed. Detection of EOC prior to its dissemination from the site of origin is known to significantly improve the patient outcome. However, there are currently no effective methods for early detection of the most common and lethal subtype of EOC. We sought to determine whether laser-induced breakdown spectroscopy (LIBS) and classification techniques such as linear discriminant analysis (LDA) and random forest (RF) could classify and differentiate blood plasma specimens from transgenic mice with ovarian carcinoma and wild type control mice. Herein we report results using this approach to distinguish blood plasma samples obtained from serially bled (at 8, 12, and 16 weeks) tumor-bearing TgMISIIR-TAg transgenic and wild type cancer-free littermate control mice. We have calculated the age-specific accuracy of classification using 18,000 laser-induced breakdown spectra of the blood plasma samples from tumor-bearing mice and wild type controls. When the analysis is performed in the spectral range 250 nm to 680 nm using LDA, these are 76.7 (±2.6)%, 71.2 (±1.3)%, and 73.1 (±1.4)%, for the 8, 12 and 16 weeks. When the RF classifier is used, we obtain values of 78.5 (±2.3)%, 76.9 (±2.1)% and 75.4 (±2.0)% in the spectral range of 250 nm to 680 nm, and 81.0 (±1.8)%, 80.4 (±2.1)% and 79.6 (±3.5)% in 220 nm to 850 nm. In addition, we report, the positive and negative predictive values of the classification of the two classes of blood plasma samples. The approach used in this study is rapid, requires only 5 μL of blood plasma, and is based on the use of unsupervised and widely accepted multivariate analysis algorithms. These findings suggest that LIBS and multivariate analysis may be a novel approach for detecting EOC.

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Section: Transgenic Mice Sample Preparation and Experimental Set-upmentioning

confidence: 99%

Age-specific discrimination of blood plasma samples of healthy and ovarian cancer prone mice using laser-induced breakdown spectroscopy

Melikechi

Markushin

Connolly

et al. 2016

Spectrochimica Acta Part B: Atomic Spectroscopy

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Tag-femtosecond laser-induced breakdown spectroscopy for the sensitive detection of cancer antigen 125 in blood plasma

et al. 2015

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Successful treatment of cancers requires detecting early signs of the disease. One promising way to approach this is to develop minimally invasive tests for the sensitive and specific detection of biomarkers in blood. Irrespective of the detection approach one uses, this remains a challenging task because biomarkers are typically present in low concentrations and there are signals that interfere strongly with prevailing compounds of human fluids. In this paper, we show that elemental encoded particle assay coupled with femtosecond laser-induced breakdown spectroscopy for simultaneous multi-elemental analysis can significantly improve biomarker detectability. An estimated near single molecule per particle efficiency of this method leads to sensitive detection of ovarian cancer biomarker CA125 in human blood plasma. This work opens new ways for earlier detection of cancers and for multiplex assay developments in various analytical applications from proteomics, genomics, and neurology fields.

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A method for improving the accuracy of calibration-free laser-induced breakdown spectroscopy by exploiting self-absorption

Chen

Deng

et al. 2021

Analytica Chimica Acta

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An experimental observation of the different behavior of ionic and neutral lines of iron as a function of number density in a binary carbon–iron mixture

Cited by 11 publications

References 30 publications

Age-specific discrimination of blood plasma samples of healthy and ovarian cancer prone mice using laser-induced breakdown spectroscopy

Age-specific discrimination of blood plasma samples of healthy and ovarian cancer prone mice using laser-induced breakdown spectroscopy

Tag-femtosecond laser-induced breakdown spectroscopy for the sensitive detection of cancer antigen 125 in blood plasma

A method for improving the accuracy of calibration-free laser-induced breakdown spectroscopy by exploiting self-absorption

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