Quantitative analysis using Raman spectroscopy without spectral standardization

Giles, Jeffrey H.; Gilmore, D. A.; Denton, M. Bonner

doi:10.1002/(sici)1097-4555(199909)30:9<767::aid-jrs447>3.3.co;2-a

Cited by 9 publications

(12 citation statements)

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“…Therefore, variation of reflection losses and collection efficiency between the two sample sets have expected. In this connection, also changes in refractive index over the sample sets can occur when a wide range of concentrations is used (Giles et al 1999). However, this was not observed in our experiments, as the knowledge of this fact induced the utilization of KBr for the homogenisation of the generated cellulosic powder blends.…”

Section: Correlation Of XC Raman Vs Xc Adjusted -Construction Of a Cmentioning

confidence: 99%

New Method for Determining the Degree of Cellulose I Crystallinity by Means of FT Raman Spectroscopy

2005

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A Raman crystallinity index -Xc Raman -characterizing the degree of crystallinity of partially crystalline cellulose I samples was created, utilizing the crystallinity dependence of CH 2 bending modes. For calibration, physical mixtures containing different mass fractions of crystalline cellulose I and its amorphous form were prepared. Crystallinities from 0 to 60% were generated. Relative intensity ratios of the Raman lines I 1481 cm À1 and I 1462 cm À1 characterizing crystalline and amorphous parts of cellulose I correlated linearly with the mass fraction of crystalline cellulose I of the mixtures. Xc Raman values of microcrystalline celluloses of different origins and varying degree of crystallinity correlated reasonably with results obtained from NMR spectroscopy (Xc NMR values).

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Section: Correlation Of XC Raman Vs Xc Adjusted -Construction Of a Cmentioning

confidence: 99%

New Method for Determining the Degree of Cellulose I Crystallinity by Means of FT Raman Spectroscopy

2005

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“…24,25 Finally Raman spectrometry [26][27][28][29][30] remains very attractive owing to the fact that water response is weak, differentiation of analytes is quite high, and measurements are very fast [31][32][33] and may be even used without standardization. 34 The main feature to be improved is the sensitivity, which can be done thanks to novel optical fibre probes 35 and SERS substrates, [36][37][38][39][40][41] while chemometric quantification algorithms, [42][43][44][45] when used, are often Partial Least Square-based 30,31,37,[46][47][48].…”

Section: Introductionmentioning

confidence: 99%

Fast identification and quantification of BTEX coupling by Raman spectrometry and chemometrics

Moreau

Rinnert

2015

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Monoaromatic hydrocarbons (MAHs) monitoring is of environmental interest since these chemical pollutants are omnipresent. While waiting for robust sensors able to detect hydrocarbons at very low levels, the present study shows how each compound from pure BTEX mixtures can be identified fast and quantified thanks to Raman spectrometry and data processing based on the SIMPLISMA algorithm. A preprocessing module has been created to remove background contributions and a postprocessing program has been added to achieve matching and calibration. A wide range of BTEX concentrations and relative proportions has been investigated in order to determine the limitations of the processing. Output results achieved an accuracy of up to 95%. This method could be extended to other important pollutants such as polyaromatic hydrocarbons (PAHs) and chlorinated hydrocarbon derivatives.

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“…It is one of the most powerful tools for the atomic/ molecular level investigation of catalytic materials and surfaces especially under reaction conditions [2][3][4][5][6][7][8][9][10]. Raman spectroscopy also has a number of potential advantages for quantitative analysis [11]. For example, Raman spectra can be measured from both solids and liquids with little or no sample preparation.…”

Section: Introductionmentioning

confidence: 99%

“…This is due to difficulties in obtaining reproducible spectra or absolute Raman intensity along with uncertainties in Raman scattering cross-sections. Both instrumental and sample-related factors can affect the measured Raman band intensity, making it difficult to determine the intrinsic intensity that is proportional to species concentration [11]. Consequently, quantitative information requires the use of internal [10,[12][13][14] or external standards [5,10,15].…”

Section: Introductionmentioning

confidence: 99%