Remote spectroscopic analysis of ppm‐level air pollutants by Raman spectroscopy

1973 ◽  
Vol 22 (1) ◽  
pp. 38-40 ◽  
Author(s):  
Tomas Hirschfeld ◽  
E.R. Schildkraut ◽  
Harvey Tannenbaum ◽  
David Tanenbaum
Keyword(s):  
Raman Spectroscopy ◽  
Air Pollutants ◽  
Spectroscopic Analysis ◽  
Ppm Level

Intensity and Distribution of Background X-rays in Wavelength Dispersive Spectrometry III

1989 ◽  
Vol 33 ◽  
pp. 521-529
Author(s):  
Tomoya Arai ◽  
Takashi Shoji
Keyword(s):  
Spectroscopic Analysis ◽  
Electron Excitation ◽  
Major Elements ◽  
X Rays ◽  
Fundamental Feature ◽  
X Ray ◽  
Wavelength Dispersive Spectrometry ◽  
Low Concentrations ◽  
Ppm Level

In the spectroscopic analysis of composite elements by x-ray fluorescence (XRF), it is the fundamental feature of this method that the background x-ray intensity is lower than that with electron excitation. However, the background x-rays of this method, which consist of Thomson (Rayleigh) and Compton scattered x-rays from the primary radiation, impair the analytical performance at the ppm level. In order toinvestigate the intensity of the background x-rays precisely,the study was conducted in two parts. The first part compared the measured and theoretically calculated x-ray intensities for Rh Kα and Rh Kβ peaks from various materials. The second part examined the determination of low concentrations of lead,arsenic and colonium in steel samples. The variation in the background x-ray intensities of the analyzed elements was found to be caused by the variation of the major elements and a correction equation for it is derived.

scholarly journals Raman spectroscopic analysis of an important Visigothic historiated manuscript

2016 ◽  
Vol 374 (2082) ◽  
pp. 20160041 ◽  
Author(s):  
Elizabeth A. Carter ◽  
Fernando Rull Perez ◽  
Jesús Medina Garcia ◽  
Howell G. M. Edwards
Keyword(s):  
Raman Spectroscopy ◽  
Spectroscopic Analysis ◽  
Santo Domingo ◽  
Santa Cruz ◽  
Organic Pigments ◽  
Raman Spectroscopic ◽  
Complete Work ◽  
Iron Gall ◽  
Raman Spectroscopic Analysis

Raman spectroscopy has been used to study fragments of early Visigothic historiated manuscripts from the important mediaeval library at Santo Domingo de Silos which were a part of a Beato dating from the tenth to the mid-eleventh centuries. These fragments are from some of the oldest manuscripts in the scriptorium of the monastery. In this study, a comparison is made between the pigments and inks used on these manuscripts and those used in a previous study of the unique Visigothic Beato de Valcavado in Santa Cruz, Valladolid, completed in the year 970, which is noted for its quality of execution as well as its content and is remarkable eschatologically in being identifiable as the complete work of only a single scribe. For comparative purposes, the pigments and inks used in the Silos Monastery Beato and a series of historiated early manuscripts from mediaeval times through to the Renaissance also held in the monastic library were analysed. Raman spectroscopy identified a range of mineral and organic pigments such as cinnabar, orpiment, minium, azurite and indigo. In addition, a number of admixtures were found, for example, indigo and orpiment to produce vergaut (green) and a mixture of cinnabar with iron-gall ink and cerussite to produce darker and lighter shades of red. Some interesting conclusions were drawn about the use of iron-gall and carbon-based inks. This article is part of the themed issue ‘Raman spectroscopy in art and archaeology’.

scholarly journals Raman spectroscopic analysis of archaeological specimens from the wreck of HMS Swift , 1770

2016 ◽  
Vol 374 (2082) ◽  
pp. 20160053
Author(s):  
Howell G. M. Edwards ◽  
Dolores Elkin ◽  
Marta S. Maier
Keyword(s):  
Raman Spectroscopy ◽  
Eighteenth Century ◽  
Spectroscopic Analysis ◽  
Royal Navy ◽  
Materia Medica ◽  
Raman Spectroscopic ◽  
Raman Spectroscopic Study ◽  
First Pass ◽  
Alternative Techniques ◽  
Archaeological Excavations

Specimens from underwater archaeological excavations have rarely been analysed by Raman spectroscopy probably due to the problems associated with the presence of water and the use of alternative techniques. The discovery of the remains of the Royal Navy warship HMS Swift off the coast of Patagonia, South America, which was wrecked in 1770 while undertaking a survey from its base in the Falkland/Malvinas Islands, has afforded the opportunity for a first-pass Raman spectroscopic study of the contents of several glass jars from a wooden chest, some of which had suffered deterioration of their contents owing to leakage through their stoppers. From the Raman spectroscopic data, it was possible to identify organic compounds such as anthraquinone and copal resin, which were empirically used as materia medica in the eighteenth century to treat shipboard diseases; it seems very likely, therefore, that the wooden chest belonged to the barber-surgeon on the ship. Spectra were obtained from the wet and desiccated samples, but several samples from containers that had leaked were found to contain only minerals, such as aragonite and sediment. This article is part of the themed issue ‘Raman spectroscopy in art and archaeology’.

scholarly journals Raman Spectroscopy and Oncology: Multivariate Statistics Methods for Cancer Grading

2021 ◽  
Vol 8 (1) ◽  
pp. 12
Author(s):  
Francesco Niccoli ◽  
Mario D’Acunto
Keyword(s):  
Raman Spectroscopy ◽  
Multivariate Statistics ◽  
Spectroscopic Analysis ◽  
First Grade ◽  
Biological Tissues ◽  
Label Free ◽  
Critical Problem ◽  
Grade Of Malignancy ◽  
Cancer Tissues ◽  
Cancer Grading

Over the last decade, Raman spectroscopy was demonstrated as a label-free and destructive optical spectroscopy that was able to improve diagnostic accuracy in cancer diagnosis. This ability is principally based on the great amount of biochemical information produced by the Raman scattering while investigating biological tissues. However, to achieve the relevant clinical requirements, the spectroscopic analysis and its ability to grade cancer tissues require sophisticated multivariate statistics. In this paper, we critically review multivariate statistics methods analyzed in light of their ability to process datasets generated by Raman spectroscopy in chondrogenic tumors, where distinguishing between enchondroma and the first grade of malignancy is a critical problem for pathologists.

scholarly journals Raman Spectroscopic Analysis of an Early 20th Century English Painted Organ Case by Temple Moore

Heritage ◽  
2020 ◽  
Vol 3 (4) ◽  
pp. 1148-1161
Author(s):  
Christopher Brooke ◽  
Howell Edwards ◽  
Peter Vandenabeele ◽  
Sylvia Lycke ◽  
Michelle Pepper
Keyword(s):  
Twentieth Century ◽  
Raman Spectroscopy ◽  
20Th Century ◽  
Spectroscopic Analysis ◽  
Formal Analysis ◽  
Organic Additive ◽  
Early 20Th Century ◽  
Raman Spectroscopic ◽  
Late Nineteenth ◽  
Raman Spectroscopic Analysis

An organ case from Lincoln, England, designed by the architect Temple Moore in 1907 was examined during conservation work using Raman spectroscopy in order to analyze the decorative paint composition. Samples from the six principal colours were extracted and examined using a Bruker Senterra R200-L spectrometer. The results are the first known formal analysis of a painted scheme by this architect, and they reveal a mixture of commonly used pigments for the period and the unexpected use of simpler, earth pigments, along with an unusual admixture in the red, along with an organic additive. The findings are of importance to both the conservation of Temple Moore’s artwork, in understanding the experimentation used in early twentieth-century England, and in furthering our knowledge of ecclesiastical decorative artwork of the late nineteenth and early twentieth centuries.

scholarly journals A Preliminary Evaluation of the Ability of Keratotic Tissue to Act as a Prognostic Indicator of Hip Fracture Risk

2018 ◽  
Vol 11 ◽  
pp. 117954411775405 ◽  
Author(s):  
J Renwick Beattie ◽  
Diane Feskanich ◽  
M Clare Caraher ◽  
Mark R Towler
Keyword(s):  
Raman Spectroscopy ◽  
Hip Fracture ◽  
Fracture Risk ◽  
Spectroscopic Analysis ◽  
Prognostic Indicator ◽  
Health Study ◽  
Preliminary Evaluation ◽  
Predictive Values ◽  
Menopausal Women ◽  
Post Menopausal

Studies have shown that Raman spectroscopic analysis of fingernail clippings can help differentiate between post-menopausal women who have and who have not suffered a fracture. However, all studies to date have been retrospective in nature, comparing the proteins in nails sourced from women, post-fracture. The objective of this study was to investigate the potential of a prospective test for hip fracture based on spectroscopic analysis of nail tissue. Archived toenail samples from post-menopausal women aged 50 to 63 years in the Nurses’ Health Study were obtained and analysed by Raman spectroscopy. Nails were matched case-controls sourced from 161 women; 82 who underwent a hip fracture up to 20 years after nail collection and 81 age-matched controls. A number of clinical risk factors (CRFs) from the Fracture Risk Assessment (FRAX) tool had been assessed at toenail collection. Using 80% of the spectra, models were developed for increasing time periods between nail collection and fracture. Scores were calculated from these models for the other 20% of the sample and the ability of the score to predict hip fracture was tested in model with and without the CRFs by comparing the odds ratios (ORs) per 1 SD increase in standardised predictive values. The Raman score successfully distinguished between hip fracture cases and controls. With only the score as a predictor, a statistically significant OR of 2.2 (95% confidence interval [CI]: 1.5-3.1) was found for hip fracture for up to 20 years after collection. The OR increased to 3.8 (2.6-5.4) when the CRFs were added to the model. For fractures limited to 13 years after collection, the OR was 6.3 (3.0-13.1) for the score alone. The test based on Raman spectroscopy has potential for identifying individuals who may suffer hip fractures several years in advance. Higher powered studies are required to evaluate the predictive capability of this test.

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