☆ 4.6 Article

HyLogger (TM) near-infrared spectral analysis: a non-destructive mineral analysis of Aboriginal Australian objects

ANALYTICAL METHODS (2014)

Journal

ANALYTICAL METHODS

Volume 6, Issue 5, Pages 1309-1316

Publisher

ROYAL SOC CHEMISTRY

DOI: 10.1039/c3ay41436a

Keywords

Funding

Australian Institute of Nuclear Science and Engineering Fellowship
Australian Research Council [LP0882597]
AMIRA
National Collaborative Research Infrastructure Strategy
Department of Further Education, Employment, Science and Technology (DFEEST) of the South Australian Government

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Abstract

Cultural heritage materials from Indigenous cultures often use geological raw materials such as natural rock and mineral pigments. For analysis, these complex human-altered materials require high-resolution, non-destructive methods, and in the case of intricate designs, a point-by-point analysis and mapping capability is desirable. The CSIRO Australia HyLogger (TM) technology has been adapted from mineral exploration and mining applications to the high-resolution non-destructive infrared and visible light spectroscopic mineral analysis of Aboriginal Australian objects. Aboriginal Australian people primarily applied mineral pigments such as hematite and kaolinite to wood, fibre, bark, resin or other organic substrates, making non-destructive in situ scientific analyses of cultural objects challenging. This proof of concept study demonstrated the utility of the near-IR technology for the visual and mineralogical analysis of six Aboriginal Australian objects, of varying size and pigment application, as case studies for the development of methods to identify and differentiate types of mineral pigments regardless of the substrate or binder. While many identified pigments such as hematite and goethite were expected for the red, orange and yellow pigments, HyLogger (TM) in combination with The Spectral Geologist T software identified additional mixtures of previously unknown mineral components. White minerals, such as calcite and pyrophyllite, were identified along with kaolinite in mixtures in white pigments on the artefacts. Analyses of individual spectra were used for interpretation of spectral features for specific pigments. Additionally, classes of pigment groups were identified for spectral analysis. This manuscript presents the novel application of the near-IR technology to Australian Aboriginal artefacts for characterisation and high-resolution near-IR spectroscopy of applied mineral pigments. These results challenge and add to prior knowledge about the mineralogical composition of traditional Aboriginal Australian inorganic pigments.

Authors

I am an author on this paper

Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6

Not enough ratings

Secondary Ratings

Novelty

Significance

Scientific rigor

Rate this paper

Non-Destructive Detection of Meat Quality Based on Multiple Spectral Dimension Reduction Methods by Near-Infrared Spectroscopy

Xiaochun Zheng, Li Chen, Xin Li, Dequan Zhang

Summary: The potential of four dimension reduction methods for near-infrared spectroscopy in predicting the protein, fat, and moisture contents in lamb meat was investigated. Calibration models based on partial least squares regression (PLSR) or multiple linear regression (MLR) were established and compared for spectra and quality parameters at different spectral regions. The results showed that MLR prediction models with wavelengths selected by stepwise regression achieved the best results in the spectral region of 400-1050 nm, while PLSR prediction models based on raw spectra or high-correlation spectra achieved better results in the spectral region of 900-1700 nm. Sampling interval shortening and peak-to-trough jump features were identified as potential areas for further study in explaining the quality parameters.

FOODS (2023)