scholarly journals Understanding the structural degradation of South American historical silk: A Focal Plane Array (FPA) FTIR and multivariate analysis

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Diego Badillo-Sanchez ◽  
David Chelazzi ◽  
Rodorico Giorgi ◽  
Alessandra Cincinelli ◽  
Piero Baglioni

AbstractSilk artifacts constitute an invaluable heritage, and to preserve such patrimony it is necessary to correlate the degradation of silk fibroin with the presence of dyes, pollutants, manufacturing techniques, etc. Fourier Transform Infrared Spectroscopy with a Focal plane array detector (FPA FTIR) provides structural information at the micron scale. We characterized the distribution of secondary structures in silk fibers for a large set of South American historical textiles, coupling FTIR with multivariate statistical analysis to correlate the protein structure with the age of the samples and the presence of dyes. We found that the pressure applied during attenuated total reflectance (ATR) measurements might induce structural changes in the fibers, producing similar spectra for pristine and aged samples. Reflectance spectra were thus used for the rigorous characterization of secondary structures. Some correlation was highlighted between the age of the samples (spanning over five centuries) and specific changes in their secondary structure. A correlation was found between the color of the samples and structural alterations, in agreement with the chemical nature of the dyes. Overall, we demonstrated the efficacy of reflectance FPA µ-FTIR, combined with multivariate analysis, for the rigorous and non-invasive description of protein secondary structures on large sets of samples.

2003 ◽  
Author(s):  
Kenneth A. Hay ◽  
Dale Van Deusen ◽  
Tina Y. Liu ◽  
William A. Kleinhans

2017 ◽  
Vol 46 (1) ◽  
pp. 102003
Author(s):  
白丕绩 Bai Piji ◽  
赵俊 Zhao Jun ◽  
韩福忠 Han Fuzhong ◽  
李立华 Li Lihua ◽  
王博 Wang Bo ◽  
...  

Fibers ◽  
2016 ◽  
Vol 4 (4) ◽  
pp. 27 ◽  
Author(s):  
Michael Santiago Cintrón ◽  
Joseph Montalvo ◽  
Terri Von Hoven ◽  
James Rodgers ◽  
Doug Hinchliffe ◽  
...  

NeuroImage ◽  
2012 ◽  
Vol 60 (1) ◽  
pp. 376-383 ◽  
Author(s):  
M.Z. Kastyak-Ibrahim ◽  
M.J. Nasse ◽  
M. Rak ◽  
C. Hirschmugl ◽  
M.R. Del Bigio ◽  
...  

2015 ◽  
Vol 12 (5) ◽  
pp. 563 ◽  
Author(s):  
Martin Günter Joachim Löder ◽  
Mirco Kuczera ◽  
Svenja Mintenig ◽  
Claudia Lorenz ◽  
Gunnar Gerdts

Environmental context Microplastics are of increasing environmental concern following reports that they occur worldwide from the arctic to the deep sea. However, a reliable methodology that facilitates an automated measurement of abundance and identity of microplastics is still lacking. We present an analytical protocol that applies focal plane array detector-based infrared imaging of microplastics enriched on membrane filters applicable to investigations of microplastic pollution of the environment. Abstract The pollution of the environment with microplastics (plastic pieces <5 mm) is a problem of increasing concern. However, although this has been generally recognised by scientists and authorities, the analysis of microplastics is often done by visual inspection alone with potentially high error rates, especially for smaller particles. Methods that allow for a fast and reliable analysis of microplastics enriched on filters are lacking. Our study is the first to fill this gap by using focal plane array detector-based micro-Fourier-transform infrared imaging for analysis of microplastics from environmental samples. As a result of our iteratively optimised analytical approach (concerning filter material, measuring mode, measurement parameters and identification protocol), we were able to successfully measure the whole surface (>10-mm diameter) of filters with microplastics from marine plankton and sediment samples. The measurement with a high lateral resolution allowed for the detection of particles down to a size of 20 μm in only a fractional part of time needed for chemical mapping. The integration of three band regions facilitated the pre-selection of potential microplastics of the ten most important polymers. Subsequent to the imaging the review of the infrared spectra of the pre-selected potential microplastics was necessary for a verification of plastic polymer origin. The approach we present here is highly suitable to be implemented as a standard procedure for the analysis of small microplastics from environmental samples. However, a further automatisation with respect to measurement and subsequent particle identification would facilitate the even faster and fully automated analysis of microplastic samples.


2007 ◽  
Vol 61 (11) ◽  
pp. 1147-1152 ◽  
Author(s):  
Brian M. Patterson ◽  
George J. Havrilla ◽  
Curtis Marcott ◽  
Gloria M. Story

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