Chemometrics in forensic science: approaches and applications

G Sauzier, W van Bronswijk, SW Lewis - Analyst, 2021 - pubs.rsc.org
Forensic investigations are often reliant on physical evidence to reconstruct events
surrounding a crime. However, there remains a need for more objective approaches to …

Possibility routes for textile recycling technology

D Damayanti, LA Wulandari, A Bagaskoro, A Rianjanu… - Polymers, 2021 - mdpi.com
The fashion industry contributes to a significant environmental issue due to the increasing
production and needs of the industry. The proactive efforts toward developing a more …

Textile recognition and sorting for recycling at an automated line using near infrared spectroscopy

K Cura, N Rintala, T Kamppuri, E Saarimäki, P Heikkilä - Recycling, 2021 - mdpi.com
In order to add value to recycled textile material and to guarantee that the input material for
recycling processes is of adequate quality, it is essential to be able to accurately recognise …

[HTML][HTML] Machine vision estimates the polyester content in recyclable waste textiles

M Mäkelä, M Rissanen, H Sixta - Resources, Conservation and Recycling, 2020 - Elsevier
Global textile production is mainly based on polyester and cotton fibers. A majority of textiles
at the end of their lifecycle are currently landfilled or incinerated, but will be increasingly …

Genetic algorithm optimisation combined with partial least squares regression and mutual information variable selection procedures in near-infrared quantitative …

A Durand, O Devos, C Ruckebusch, JP Huvenne - Analytica Chimica Acta, 2007 - Elsevier
In this work, different approaches for variable selection are studied in the context of near-
infrared (NIR) multivariate calibration of textile. First, a model-based regression method is …

Qualitative classification of waste textiles based on near infrared spectroscopy and the convolutional network

Z Liu, W Li, Z Wei - Textile Research Journal, 2020 - journals.sagepub.com
The recycling of waste textiles has become a growth point for the sustainable development
of the textile and clothing industry. In addition, sorting is a key link in the follow-up recycling …

Identification of textiles by handheld near infrared spectroscopy: Protecting customers against product counterfeiting

H Yan, HW Siesler - Journal of Near Infrared Spectroscopy, 2018 - journals.sagepub.com
Textiles are extremely important materials for everyday life with a broad range of
applications and properties. Due to the large variations in quality on the one hand and the …

Classification of different animal fibers by near infrared spectroscopy and chemometric models

H Chen, Z Lin, C Tan - Microchemical Journal, 2019 - Elsevier
The qualitative and quantitative detection of animal fibers is becoming more and more
essential due to common adulterations in both raw materials and finished textiles. The …

Advanced QSRR modeling of peptides behavior in RPLC

K Bodzioch, A Durand, R Kaliszan, T Bączek… - Talanta, 2010 - Elsevier
In QSRR the retention is modeled as a function of structural or molecular descriptors. Since
the structural datasets can be very large a selection of informative variables is often …

Authenticity detection of black rice by near‐infrared spectroscopy and support vector data description

H Chen, C Tan, Z Lin - International journal of analytical …, 2018 - Wiley Online Library
Black rice is an important rice species in Southeast Asia. It is a common phenomenon to
pass low‐priced black rice off as high‐priced ones for economic benefit, especially in some …