Far infrared heating has been developed mainly in Japan on its own. But according to its unusual ability of optimizing the heating process, its commercial development has been rather limited. Besides, there has been a misunderstanding in Western countries that far infrared heating could not be realized in a high temperature region with far infrared heaters. Recently, experimental research has proved that far infrared heaters radiate energy mainly in the wave length over 3μm even at high temperatures. New application areas such as display related process are requiring higher temperature treatment than ever. To meet this condition, furnaces with their operating temperatures of exceeding 1000℃ are developed. In these furnaces, furnace brick walls heated with high temperature heaters such as near infrared heaters act as far infrared radiators even at such high temperatures.
This paper describes a new noninvasive measurement of blood glucose based on an optical sensing. This measured the spectrum of human finger by using the Fourier transform infrared spectroscopy of attenuated total reflection. Near Infrared spectroscopy for this measurement is also described. In order to study the influence of individual difference, the internal standard method was introduced. This paper describes the detail of calibration.
The thermography make imaging of the infrared rays in non-contact. Then it had been used for various applications. These days, infrared thermography began to be used for evaluation of energy saving. This report introduces a simple principle of infrared and introduces application example measured in the living environment.
We applied near-infrared spectroscopy with the aid of chemometrics to analyze non-destructively blended fabrics whose components are two or three of eight fibers, i.e. cotton, hemp, rayon, wool, silk, nylon, polyester, and acrylonitrile. Materials identification was achieved by the best-fit reproduction of observed spectra with the linear combination of spectra of fabrics containing a single material and by identification analysis with principal component analysis (PCA) score-plots. Blend ratios were estimated with models constructed by partial least squares (PLS) regression method. Our technique is expected to enable non-destructive and quick analyses of blended fabrics.
The quantitative analysis by near infrared spectroscopy is being used for many applications in the life infrastructure fields related to environment because of its non-destructive and rapid features in the measurement. Accuracy of the quantitative analysis by near infrared spectroscopy depends on the performance of the near infrared spectrometer. The reason is that the changes of the near infrared spectral waveform caused by the quantity of the constituents are really subtle. Design concept for NIR spectrometers for a special purpose is explained.