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Quantitative NIR spectroscopy for determination of degree of polymerisation of historical paper
2021
Chemometrics and Intelligent Laboratory Systems
This paper discusses the development of a near infrared (NIR) spectroscopic method coupled with multivariate analysis to characterise historical paper. Specifically, partial least squares (PLS) regression was used to predict one of the most important properties of paper as a condition indicatordegree of polymerisation (DP). Supported by a set of model cellulose samples, the NIR-PLS method for DP prediction was validated and the modelling approach that led to the best prediction of DP of paper
doi:10.1016/j.chemolab.2021.104337
fatcat:ovjy5mzhivdp5a7kq2kcs7hoce