Analysis of Sticky Cotton by Near-Infrared Spectroscopy
“Stickiness” in cotton is a major problem affecting throughput in cotton gins and spinning mills alike. Stickiness is thought to be caused by the deposition of sugars by insects, principally aphid and whitefly, on the open boll. Fourier transform near-infrared (FT-NIR) spectroscopy was used to devel...
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| Veröffentlicht in: | Applied spectroscopy 2005-11, Vol.59 (11), p.1388-1392 |
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| creator | Barton, F. E. Bargeron, J. D. Gamble, G. R. McAlister, D. L. Hequet, E. |
| description | “Stickiness” in cotton is a major problem affecting throughput in cotton gins and spinning mills alike. Stickiness is thought to be caused by the deposition of sugars by insects, principally aphid and whitefly, on the open boll. Fourier transform near-infrared (FT-NIR) spectroscopy was used to develop models for sugar content from high-pressure liquid chromatography (HPLC), thermodetector, and mini-card data. A total of 457 cotton samples were selected to represent both Upland and Pima varieties and cotton processing before and after ginning. The Unscrambler was used to develop the models. A successful model was made to determine the mini-card value and successfully detect “stickiness”. The standard error of cross-validation (SECv) was 0.26 with an R2 of 0.96. The model was not improved by increasing the range of “stickiness” as measured by the mini-card from the usual 0–3 scale to a scale of 0–8. If a value is determined to be greater than 1 it will be difficult to blend bales at a spinning plant “opening line” to allow for maximum efficiency of spinning. |
| doi_str_mv | 10.1366/000370205774783214 |
| format | Article |
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The model was not improved by increasing the range of “stickiness” as measured by the mini-card from the usual 0–3 scale to a scale of 0–8. 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A successful model was made to determine the mini-card value and successfully detect “stickiness”. The standard error of cross-validation (SECv) was 0.26 with an R2 of 0.96. The model was not improved by increasing the range of “stickiness” as measured by the mini-card from the usual 0–3 scale to a scale of 0–8. If a value is determined to be greater than 1 it will be difficult to blend bales at a spinning plant “opening line” to allow for maximum efficiency of spinning.</description><subject>Carbohydrates - analysis</subject><subject>Cotton Fiber</subject><subject>Gossypium - chemistry</subject><subject>Materials Testing - methods</subject><subject>Specimen Handling - methods</subject><subject>Spectrophotometry, Infrared - methods</subject><issn>0003-7028</issn><issn>1943-3530</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kE1Lw0AURQdRbK3-AReSlbvYN3kzmWRZih-FoovqOkxmXiQ1zcSZdJF_b0oLLgRXjwvnXh6HsVsODxzTdA4AqCABqZRQGSZcnLEpzwXGKBHO2fQAxCORTdhVCNsxyhzlJZvwFHkquZoytWh1M4Q6RK6KNn1tvoZo6fretVE5RK-kfbxqK6892WjTkem9C8Z1wzW7qHQT6OZ0Z-zj6fF9-RKv355Xy8U6NpjJPq6solKXudQJ52DRQIWgKOeJAFCi1KAVZWiQlCFlLSRW81IkGrmFXBDO2P1xt_Pue0-hL3Z1MNQ0uiW3D0WaZUKqDEYwOYJm_DB4qorO1zvth4JDcdBV_NU1lu5O6_tyR_a3cvIzAvMjEPQnFVu396Ou8N_kD3x_cYQ</recordid><startdate>200511</startdate><enddate>200511</enddate><creator>Barton, F. 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L.</au><au>Hequet, E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis of Sticky Cotton by Near-Infrared Spectroscopy</atitle><jtitle>Applied spectroscopy</jtitle><addtitle>Appl Spectrosc</addtitle><date>2005-11</date><risdate>2005</risdate><volume>59</volume><issue>11</issue><spage>1388</spage><epage>1392</epage><pages>1388-1392</pages><issn>0003-7028</issn><eissn>1943-3530</eissn><abstract>“Stickiness” in cotton is a major problem affecting throughput in cotton gins and spinning mills alike. Stickiness is thought to be caused by the deposition of sugars by insects, principally aphid and whitefly, on the open boll. Fourier transform near-infrared (FT-NIR) spectroscopy was used to develop models for sugar content from high-pressure liquid chromatography (HPLC), thermodetector, and mini-card data. A total of 457 cotton samples were selected to represent both Upland and Pima varieties and cotton processing before and after ginning. The Unscrambler was used to develop the models. A successful model was made to determine the mini-card value and successfully detect “stickiness”. The standard error of cross-validation (SECv) was 0.26 with an R2 of 0.96. The model was not improved by increasing the range of “stickiness” as measured by the mini-card from the usual 0–3 scale to a scale of 0–8. If a value is determined to be greater than 1 it will be difficult to blend bales at a spinning plant “opening line” to allow for maximum efficiency of spinning.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><pmid>16316517</pmid><doi>10.1366/000370205774783214</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Applied spectroscopy, 2005-11, Vol.59 (11), p.1388-1392 |
| issn | 0003-7028 1943-3530 |
| language | eng |
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| source | MEDLINE; SAGE Complete |
| subjects | Carbohydrates - analysis Cotton Fiber Gossypium - chemistry Materials Testing - methods Specimen Handling - methods Spectrophotometry, Infrared - methods |
| title | Analysis of Sticky Cotton by Near-Infrared Spectroscopy |
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