Literature DB >> 17536818

Quantitative analysis of cotton (Gossypium hirsutum) lint trash by fluorescence spectroscopy.

Gary R Gamble1, Jonn A Foulk.   

Abstract

The presence of cotton plant botanical components, or trash, embedded in lint subsequent to harvesting and ginning is an important criterion in the classification of baled cotton by the U.S. Department of Agriculture Agricultural Marketing Service. The trash particles may be reduced in size to the point that specific trash types are not identifiable by image or gravimetric analysis, and it is desirable to quantify different trash types so that processing lines may be optimized for removal of the most problematic trash to enhance processing performance and cotton lint quality. Currently, there are no methods available to adequately quantify cotton lint trash based on botanical origin. The present work attempts to address this issue through the analysis by fluorescence spectroscopy of dimethyl sulfoxide extracts of mixtures of six botanical trash types. The fluorescence data are subsequently subjected to chemometric analysis. The resulting 6 partial least-squares calibration models obtained from 128 mixtures are demonstrated in the case of leaf and hull to be capable of predicting individual trash component concentrations with a high degree of confidence.

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Year:  2007        PMID: 17536818     DOI: 10.1021/jf063607t

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  3 in total

1.  Blue and UV LED-induced fluorescence in cotton foreign matter.

Authors:  Adnan Mustafic; Changying Li; Mark Haidekker
Journal:  J Biol Eng       Date:  2014-12-01       Impact factor: 4.355

2.  A Pulsed Thermographic Imaging System for Detection and Identification of Cotton Foreign Matter.

Authors:  Jesse Kuzy; Changying Li
Journal:  Sensors (Basel)       Date:  2017-03-04       Impact factor: 3.576

3.  Thermosensitive textiles made from silver nanoparticle-filled brown cotton fibers.

Authors:  Sunghyun Nam; In-Suck Baek; Matthew B Hillyer; Zhongqi He; Jinyoung Y Barnaby; Brian D Condon; Moon S Kim
Journal:  Nanoscale Adv       Date:  2022-06-20
  3 in total

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