Potential of visible and near infrared spectroscopy in the determination of instrumental leaf grade in lint cottons

Liu, Yongliang; Foulk, Jonn A.

doi:10.1177/0040517513478481

Cited by 13 publications

(15 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Liu et al attempted classification of seven leaf categories of cotton with a research grade spectrometer [ 7 ]. Classification models were developed by employing the soft independent modeling of class analogy (SIMCA) and principal component analysis (PCA).…”

Section: Introductionmentioning

confidence: 99%

Blue and UV LED-induced fluorescence in cotton foreign matter

Mustafic

Haidekker

2014

J Biol Eng

View full text Add to dashboard Cite

BackgroundCotton is an important domesticated fiber used to manufacture a variety of products and industrial goods. During harvesting with cotton strippers and cotton pickers, it is contaminated with foreign matter from botanical and non-botanical sources which adversely affect the quality and consistency of cotton, and therefore reduces its market value. To improve the current grading done by the High Volume Instrument (HVI) and human inspectors, it was explored whether fluorescence imaging can be used for cotton foreign matter detection.ResultsEight types of botanical foreign matter (bark, bract, brown leaf, green leaf, hull, seed coat, seed, stem), and four types of non-botanical foreign matter (paper, twine, plastic bale packaging, plastic bag) were subjected to a fluorescence spectroscopy analysis to determine their optimal excitation and emission wavelength range. Matrix 3D scans were performed in the excitation range from 300 nm to 500 nm, and emission range from 320 nm to 700 nm, and the results indicated the photo-excitable fluorescence in the aforementioned excitation range for all the selected foreign matter categories. Consequently, the blue and the UV LEDs were selected as the excitation sources. The blue LED light provided optimal excitation light for bark, brown leaf, bract, green leaf, hull, and stem, while the UV LED light provided optimal excitation light for paper, plastic bag, plastic packaging, seed, seed coat, and twine.ConclusionsUV and blue light induces fluorescence in 12 types of botanical and non-botanical cotton foreign matter. An imaging apparatus with blue and UV light excitation sources, and a consumer grade SLR camera was successfully developed to capture and characterize fluorescent images of cotton foreign matter. Based on the results, fluorescent imaging could be a promising method for cotton foreign matter detection. Future studies will focus on the classification of cotton foreign matter categories and to further refine the image processing sequence.Electronic supplementary materialThe online version of this article (doi:10.1186/1754-1611-8-29) contains supplementary material, which is available to authorized users.

show abstract

Section: Introductionmentioning

confidence: 99%

Blue and UV LED-induced fluorescence in cotton foreign matter

Mustafic

Haidekker

2014

J Biol Eng

View full text Add to dashboard Cite

show abstract

“…that represent the most common variations to all spectral data. 19,20 The correlations among samples (or spectra) are indicated by their scores (or projections) on new PCs.…”

mentioning

confidence: 99%

The relationship between instrumental leaf grade and Shirley Analyzer trash content in cotton lint

Liu

Delhom

2017

Textile Research Journal

Self Cite

View full text Add to dashboard Cite

With the increasing acceptance of high volume instrument (HVI™) instrumental leaf grade index in both domestic and international trading, there is a continued interest in the relationship between instrumental leaf grade and equivalent trash gravimetric content (% percent by mass) from cotton customers and regulators. Due to the complexity of not only trash type, size, and its weight distribution but also the nature of HVI and gravimetric methods, it is an on-going challenge to examine such a relationship. In this study, the Shirley Analyzer (SA) was used to determine the gravimetric cotton trash in percent by mass (%). This system is the traditional cotton trash reference method that is still utilized as a routine tool in the cotton industry, despite being a destructive process that is both labor-intensive and time-consuming. This study first investigated the correlations between three SA trash readings (SAvisible, SAinvisible, and SAtotal) and respective leaf grade categories, and it revealed a general trend of increasing SAvisible and SAtotal trash content with elevating leaf grade. Then, comparison of SAvisible trash content in the current study to that in separate studies indicated a good agreement for low leaf grade cottons (<4). Next, the principal component analysis of near infrared spectra from SAvisible trash portions revealed a different pattern in PC1 score between low leaf grade (1–4) and high leaf grade (5 and 6) SA visible trash remains, implying a general change of more leaf-related trash in low leaf grade cottons to more non-leaf-related trash in high leaf grade cottons.

show abstract

“…Because of the heterogeneous distribution of trash type, density, and particle size, it is a challenge to link the trash amount from either type of two trash measurements with NIR spectra at satisfactory level, as revealed by relatively low NIR model performance for referenced SA and HVI TM trash indices [11,12]. As an alternative to overcome the challenge in NIR prediction of trash contents, sevenclass SIMCA/PCA (soft independent modeling of class analogy / principal component analysis) classification models in different visible/NIR spectral regions were developed to optimize the identification efficiency of cotton samples with various leaf grade categories [18]. It was observed that using the discrimination model in the 1105-1700 nm NIR regions could distinguish one class of leaf grade fibers from other six groups at a satisfactory level of ~ 95.0%.…”

Section: Corrected Predictionsmentioning

confidence: 99%

“…As a comparison, the true reference values of individual trash components in regular cottons were extremely difficult to acquire, mostly due to either current-in-use trash protocols cannot provide such information or it is labor intensive to amass different types and sizes of trash manually. In this study, lint cotton samples with various instrumental leaf grades were used, since the instrumental leaf grade was determined by an equation that utilizes HVI TM trash readings of percent area and particle count on a sample's surface [18] and so that the magnitude of instrument leaf grade should be proportional to trash level in a sample; unfortunately, present HVI TM leaf grade measurement cannot provide the trash type, such as leaf trash and non leaf trash. The accumulated knowledge could be of value as a rapid analytical tool to cotton breeders for cotton variety enhancement and also to cotton ginning engineers for trash-removal cleaning device improvement.…”

Section: Introductionmentioning

confidence: 99%

Preliminary Study of Determining Trash Components in Lint Cottons by Near Infrared Spectroscopy Technique

Y¹,

Thibodeaux²,

Foulk³

et al. 2014

J Textile Sci Eng

View full text Add to dashboard Cite

The transfer of Near Infrared (NIR) calibration models for the determination of total trash, leaf trash and non-leaf trash components in cotton fibers was conducted between two sets of samples. These samples to be analyzed are inhomogeneous in a bulky state whereas the samples used as calibrations were homogeneous in a ground state. The efficacy of the model transfer was evaluated based on instrumental leaf grade readings of " as is " diverse samples, because current-in-use trash tests cannot generate the trash amount for individual trash components. Results indicated that the predictions from the direct model transfer were unreliable, but they might be acceptable after the correction or conversion of original predictions with standard samples.

show abstract

Potential of visible and near infrared spectroscopy in the determination of instrumental leaf grade in lint cottons

Cited by 13 publications

References 13 publications

Blue and UV LED-induced fluorescence in cotton foreign matter

Blue and UV LED-induced fluorescence in cotton foreign matter

The relationship between instrumental leaf grade and Shirley Analyzer trash content in cotton lint

Preliminary Study of Determining Trash Components in Lint Cottons by Near Infrared Spectroscopy Technique

Contact Info

Product

Resources

About