TY - JOUR
T1 - Combining Near-Infrared (NIR) Analysis and Modelling as a Fast and Reliable Method to Determine the Authenticity of Agarwood (Aquilaria spp.)
AU - Grosskopf, Esther K.
AU - Simmonds, Monique S.J.
AU - Wallis, Christopher J.
N1 - Publisher Copyright:
© 2023 by the authors.
PY - 2023/6/7
Y1 - 2023/6/7
N2 - The resinous wood produced by the Aquilaria and Gyrinops species—agarwood—is both rare and highly valuable. It is used in products from perfumes to medicines and has an estimated global market value of $32 billion. As a result, the adulteration and illegal purchasing of agarwood is widespread and of specific concern to enforcement agencies globally. Therefore, it is of interest to have a fast, reliable, and user-friendly method to confirm the authenticity of a sample of agarwood. We investigated the use of near infrared (NIR) data to develop a method that rapidly distinguished between authentic and non-authentic agarwood samples, based upon a soft independent model of class analogy (SIMCA), using software specific to the application of infrared data to material authentication. The model showed a clear distinction between the authentic and non-authentic samples. However, the small values involved led to poor automatic validation results.
AB - The resinous wood produced by the Aquilaria and Gyrinops species—agarwood—is both rare and highly valuable. It is used in products from perfumes to medicines and has an estimated global market value of $32 billion. As a result, the adulteration and illegal purchasing of agarwood is widespread and of specific concern to enforcement agencies globally. Therefore, it is of interest to have a fast, reliable, and user-friendly method to confirm the authenticity of a sample of agarwood. We investigated the use of near infrared (NIR) data to develop a method that rapidly distinguished between authentic and non-authentic agarwood samples, based upon a soft independent model of class analogy (SIMCA), using software specific to the application of infrared data to material authentication. The model showed a clear distinction between the authentic and non-authentic samples. However, the small values involved led to poor automatic validation results.
KW - NIR
KW - SIMCA
KW - agarwood
KW - authentication
KW - infrared
KW - wood
UR - http://www.scopus.com/inward/record.url?scp=85168299895&partnerID=8YFLogxK
U2 - 10.3390/analytica4020018
DO - 10.3390/analytica4020018
M3 - Article
AN - SCOPUS:85168299895
SN - 2673-4532
VL - 4
SP - 231
EP - 238
JO - Analytica
JF - Analytica
IS - 2
ER -