Non-invasive identification of organic materials in wall paintings by fiber optic reflectance infrared spectroscopy: a statistical multivariate approach.
about
Analysis and comparison of the microflora isolated from fresco surface and from surrounding air environment through molecular and biodegradative assays.In situ nondestructive identification of natural dyes in ancient textiles by reflection fourier transform mid-infrared (FT-MIR) spectroscopy.Non-invasive Investigations of Paintings by Portable Instrumentation: The MOLAB Experience.Influence of composition and roughness on the pigment mapping of paintings using mid-infrared fiberoptics reflectance spectroscopy (mid-IR FORS) and multivariate calibration.Identification of animal glue and hen-egg yolk in paintings by use of enzyme-linked immunosorbent assay (ELISA).Non-invasive and micro-destructive investigation of the Domus Aurea wall painting decorations.Tracing the biological origin of animal glues used in paintings through mitochondrial DNA analysis.Multivariate chemical mapping of pigments and binders in easel painting cross-sections by micro IR reflection spectroscopy.Portable Raman versus portable mid-FTIR reflectance instruments to monitor synthetic treatments used for the conservation of monument surfaces.Comparison of analytical tools appropriate for identification of proteinaceous additives in historical mortars.Characterisation of colourants on illuminated manuscripts by portable fibre optic UV-visible-NIR reflectance spectrophotometryMid and Near-Infrared Reflection Spectral Database of Natural Organic Materials in the Cultural Heritage Field
P2860
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P2860
Non-invasive identification of organic materials in wall paintings by fiber optic reflectance infrared spectroscopy: a statistical multivariate approach.
description
2009 nî lūn-bûn
@nan
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
2009年论文
@zh
2009年论文
@zh-cn
name
Non-invasive identification of ...... istical multivariate approach.
@en
type
label
Non-invasive identification of ...... istical multivariate approach.
@en
prefLabel
Non-invasive identification of ...... istical multivariate approach.
@en
P2093
P50
P1476
Non-invasive identification of ...... tistical multivariate approach
@en
P2093
P2888
P304
P356
10.1007/S00216-009-3108-Y
P407
P577
2009-09-17T00:00:00Z