Assessment of Recovered Cotton Fibre and Trash Contents in Lint Cotton Waste by Ultraviolet/Visible/Near Infrared Reflectance Spectroscopy

Lint cleaning at cotton processing facilities is performed in order to reduce the non-lint materials to the lowest level with minimal fibre damage. The resultant waste contains some degree of cotton fibre having equal quality to the fibre in the bale and, hence, is of great concern for operating cost and profit. Traditional methods for measuring the non-lint material, or trash, in the cotton industry, including the Shirley Analyzer and high volume instrumentation, are labour intensive and time consuming. Ultraviolet (UV)/visible/near infrared (NIR) spectroscopy, a rapid and easy sampling technique, was examined for its feasibility in determining the relative proportions of recovered cotton fibre and trash in lint cotton waste. Cotton waste was scanned in the region of 220–2500 nm and the reference value was measured by a Shirley Analyzer. Partial least squares regression models were developed in various spectral ranges and then compared. Although there were obvious spectral differences in the visible and NIR regions between trash and cotton fibre, the model performance from a narrow NIR region of 900–1700 nm was nearly equivalent to that from the full 226–2496 nm spectral region. Meanwhile, simple two-band difference algorithms utilising two unique bands were developed and also suggested the effectiveness of two NIR bands, at 900 nm and 1135 nm, in the assessment of fibre and trash components in cotton waste. Furthermore, considering the different sampling species between the reference and spectral measurements, a 90% confidence interval was applied to remove outlier samples from the calibration and validation sets. The recalibrated models revealed the feasibility of the NIR technique for the determination of visible trash and recovered cotton fibre content in lint cotton waste.

[1]  Hh Jr Ramey,et al.  Estimating Quality Components of Natural Fibers by Near-Infrared Reflectance1 , 1982 .

[2]  Mathew G. Pelletier,et al.  Parallel Algorithm for GPU Processing; for use in High Speed Machine Vision Sensing of Cotton Lint Trash , 2008, Sensors.

[3]  W. S. Anthony,et al.  Online Assessment of Foreign Matter in Cotton During Ginning , 1989 .

[4]  Dongyao Jia,et al.  Detection of foreign materials in cotton using a multi-wavelength imaging method , 2005 .

[5]  G. J. Mangialardi,et al.  Systematic Errors in Shirley Analyzer Measurements , 1983 .

[6]  Bu-Yong Kim,et al.  Principal Components Regression in Logistic Model , 2008 .

[7]  Michael D. Watson,et al.  FRACTIONATION OF FOREIGN MATTER IN GINNED LINT BEFORE AND AFTER LINT CLEANING , 2009 .

[8]  J. Montalvo Cotton Dust: Controlling an Occupational Health Hazard , 1982 .

[9]  J. Rodgers,et al.  Near Infrared Measurement of Cotton Fiber Micronaire, Maturity and Fineness - a Comparative Investigation , 2010 .

[10]  B. Xu,et al.  Clustering Analysis for Cotton Trash Classification , 1999 .

[11]  H. H. Ramey,et al.  Studies to Measure Cotton Fibre Length, Strength, Micronaire and Colour by vis/NIR Reflectance Spectroscopy. Part II: Principal Components Regression , 1994 .

[12]  J. A. Thomasson,et al.  Correlation of NIR Data with Cotton Quality Characteristics , 1995 .

[13]  D. Himmelsbach,et al.  Development and use of an attenuated total reflectance/fourier transform infrared (ATR/FT-IR) spectral database to identify foreign matter in cotton. , 2006, Journal of agricultural and food chemistry.

[14]  Svend A. Larsen,et al.  Estimating Quality Components of Natural Fibers by Near-Infrared Reflectance1 , 1982 .

[15]  C. K. Bragg,et al.  A Rapid, Direct Measurement of Short Fiber Content , 1993 .

[16]  R. V. Baker,et al.  PREDICTING LINT CLEANER EFFICIENCY AND FIBER QUALITY CHARACTERISTICS IN COTTON GINNING , 2002 .

[17]  Angela Allen,et al.  TEXTILE TECHNOLOGY Preliminary Fourier-Transform Infrared Spectroscopy Analysis of Cotton Trash , 2007 .

[18]  Joseph G. Montalvo,et al.  An Investigation of the Relationship between Cotton Fineness and Light Scattering from Thin Webs as Measured by Near-Infrared Transmission Spectroscopy , 1989 .

[19]  W. Stanley Anthony New Lint Cleaner to Reduce Fiber Waste , 2005 .

[20]  Faouzi Sakli,et al.  Cotton waste recycling : Quantitative and qualitative assessment , 2008 .

[21]  J. Bruce German,et al.  Development and Use of an Attenuated Total Reflectance / Fourier Transform Infrared ( ATR / FTIR ) Spectral Database To Identify Foreign Matter in Cotton , 2007 .

[22]  L. Domelsmith,et al.  The chemical composition of standard cotton dust. , 1986, Environmental health perspectives.

[23]  Tae Jin Kang,et al.  Objective Evaluation of the Trash and Color of Raw Cotton by Image Processing and Neural Network , 2002 .

[24]  J. Montalvo Unlocking the Secret of How NIRS Measures Cotton Fibre Maturity and Fineness , 1991 .

[25]  R. B. Roy,et al.  Quantitative Near-infra-red Analysis of Reducing Sugar from the Surface of Cotton , 1988 .

[26]  S. Gordon,et al.  Cotton : science and technology , 2007 .

[27]  G. Gamble,et al.  Quantitative analysis of cotton (Gossypium hirsutum) lint trash by fluorescence spectroscopy. , 2007, Journal of agricultural and food chemistry.