scholarly journals New UV-source catalogs, UV spectral database, UV variables and science tools from the GALEX surveys

2018 ◽  
Vol 363 (3) ◽  
Author(s):  
Luciana Bianchi ◽  
Alexander de la Vega ◽  
Bernard Shiao ◽  
Ralph Bohlin
Keyword(s):  
Spectral Database

Elemental analysis of laser induced breakdown spectroscopy aided by an empirical spectral database

2008 ◽  
Vol 47 (31) ◽  
pp. G99 ◽  
Author(s):  
Steven Rock ◽  
Aristides Marcano ◽  
Yuri Markushin ◽  
Chandran Sabanayagam ◽  
Noureddine Melikechi
Keyword(s):  
Elemental Analysis ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Spectral Database

scholarly journals Mid and Near-Infrared Reflection Spectral Database of Natural Organic Materials in the Cultural Heritage Field

2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Claudia Invernizzi ◽  
Tommaso Rovetta ◽  
Maurizio Licchelli ◽  
Marco Malagodi
Keyword(s):  
Near Infrared ◽  
Organic Materials ◽  
Protective Coatings ◽  
Total Reflection ◽  
Reflection Mode ◽  
Novel Approach ◽  
Infrared Reflection ◽  
Detailed Interpretation ◽  
Materials Used ◽  
Spectral Database

This study presents mid and near-infrared (7500-375 cm−1) total reflection mode spectra of several natural organic materials used in artworks as binding media, consolidants, adhesives, or protective coatings. A novel approach to describe and interpret reflectance bands as well as calculated absorbance after Kramers-Kronig transformation (KKT) is proposed. Transflection mode spectra have represented a valuable support both to study the distorted reflectance bands and to validate the applicability and usefulness of the KK correction. The aim of this paper is to make available to scientists and conservators a comprehensive infrared reflection spectral database, together with its detailed interpretation, as a tool for the noninvasive identification of proteins, lipids, polysaccharides, and resins by means of portable noncontact FTIR spectrometers.

Development of a networked mass spectral database for veterinary drug residues

2019 ◽  
Vol 439 ◽  
pp. 1-12 ◽  
Author(s):  
Dongmei Chen ◽  
Xiaoshuang Pei ◽  
Mengru Wu ◽  
Shuyu Xie ◽  
Yuanhu Pan ◽  
...  
Keyword(s):  
Veterinary Drug ◽  
Mass Spectral Database ◽  
Veterinary Drug Residues ◽  
Drug Residues ◽  
Mass Spectral ◽  
Spectral Database

scholarly journals The Lyman Alpha Spectral Database (LASD)

2021 ◽  
Vol 133 (1021) ◽  
pp. 034507
Author(s):  
Axel Runnholm ◽  
Max Gronke ◽  
Matthew Hayes
Keyword(s):  
Lyman Alpha ◽  
Spectral Database

Use of near infrared spectroscopy and spectral databases to assess the quality of pharmaceutical products and aid characterization of unknown components

2019 ◽  
Vol 27 (5) ◽  
pp. 379-390
Author(s):  
Mazlina Mohd Said ◽  
Simon Gibbons ◽  
Anthony Moffat ◽  
Mire Zloh
Keyword(s):  
Principal Component Analysis ◽  
Infrared Spectroscopy ◽  
Near Infrared ◽  
Principal Component ◽  
Component Analysis ◽  
Score Plot ◽  
Principal Component Analysis Score ◽  
Infrared Spectral ◽  
Herbal Formulations ◽  
Spectral Database

This research was initiated as part of the fight against public health problems of rising counterfeit, substandard and poor quality medicines and herbal products. An effective screening strategy using a two-step combination approach of an incremental near infrared spectral database (step 1) followed by principal component analysis (step 2) was developed to overcome the limitations of current procedures for the identification of medicines by near infrared spectroscopy which rely on the direct comparison of the unknown spectra to spectra of reference samples or products. The near infrared spectral database consisted of almost 4000 spectra from different types of medicines acquired and stored in the database throughout the study. The spectra of the test samples (pharmaceutical and herbal formulations) were initially compared to the reference spectra of common medicines from the database using a correlation algorithm. Complementary similarity assessment of the spectra was conducted based on the observation of the principal component analysis score plot. The validation of the approach was achieved by the analysis of known counterfeit Viagra samples, as the spectra did not fully match with the spectra of samples from reliable sources and did not cluster together in the principal component analysis score plot. Pre-screening analysis of an herbal formulation (Pronoton) showed similarity with a product containing sildenafil citrate in the database. This finding supported by principal component analysis has indicated that the product was adulterated. The identification of a sildenafil analogue, hydroxythiohomosildenafil, was achieved by mass spectrometry and Nuclear Magnetic Resonance (NMR) analyses. This approach proved to be a suitable technique for quick, simple and cost-effective pre-screening of products for guiding the analysis of pharmaceutical and herbal formulations in the quest for the identification of potential adulterants.

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