Discrimination of cellulose fabrics using infrared spectroscopy and newly developed discriminant analysis.

Identifying cellulose fibers in fabric products is necessary for quality control and appropriate distribution but can be difficult because of their similarities. A novel technique to identify cellulose fabrics has been developed that uses infrared spectroscopy with the attenuated total reflection (ATR) method, evaluated with an improved Fisher's discriminant analysis including regularization coefficients and orthogonal decompositions. Sequential discrimination of six different types of cellulose fibers -cotton, ramie, and linen, which are natural fibers, and rayon, cupra, and lyocell, which are regenerated fibers- was achieved using the new technique.

Even-odd alternation of near-infrared spectra of alkane-α,ω-diols in their solid states.

Even-odd alternation of the melting points of α,ω-disubstituted linear alkanes such as alkane-α,ω-diols, alkane-α,ω-dinitriles and α,ω-diaminoalkanes is well known. Melting points for compounds with an even number of carbons in their alkyl chains are systematically higher than those for compounds with an odd number of carbons. In order to clarify the origin of this alternation, near-infrared absorption spectra of linear alkane-α,ω-diols with 3 to 9 carbon atoms in their alkyl chains were measured in the liquid and solid states.

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements.

Nondestructive prediction of ingredient contents of farm products is useful to ship and sell the products with guaranteed qualities. Here, near-infrared spectroscopy is used to predict nondestructively total sugar, total organic acid, and total anthocyanin content in each blueberry. The technique is expected to enable the selection of only delicious blueberries from all harvested ones.