Gamble Gary R, Foulk Jonn A
U.S. Department of Agriculture, Agricultural Research Service, Cotton Quality Research Station, Clemson, South Carolina 29633, USA.
J Agric Food Chem. 2007 Jun 27;55(13):4940-3. doi: 10.1021/jf063607t. Epub 2007 May 31.
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.
棉花收获和轧花后，皮棉中存在的棉花植物成分或杂质是美国农业部农业营销服务局对成包棉花进行分类的重要标准。杂质颗粒的尺寸可能会减小到通过图像或重量分析无法识别特定杂质类型的程度，因此需要对不同的杂质类型进行量化，以便优化加工生产线，去除最成问题的杂质，从而提高加工性能和皮棉质量。目前，尚无基于植物来源充分量化皮棉杂质的方法。本研究试图通过对六种植物杂质类型混合物的二甲基亚砜提取物进行荧光光谱分析来解决这一问题。随后对荧光数据进行化学计量分析。从128种混合物中获得的6个偏最小二乘校准模型表明，对于叶片和棉籽壳的情况，能够高度准确地预测单个杂质成分的浓度。
