Abstract:The applications and development of optical gas cells in tunable diode laser absorption spectroscopy (TDLAS) are overviewed. The structures and principles of several types of absorption cells including the While, Herriott, matrix and other improved cells are presented. The advantages and disadvantages of the current cells are analyzed. According to the demand of TDLAS technology, the trend of optical absorption cells to be smaller, simpler and more stable while measuring multiple gases is pointed out.

Abstract:To help people to understand the applications of infrared images in urban construction, the application basis of infrared remote sensing image data is presented. How to appropriately understand the urban heat islands and their detection and control problems met in urban construction is described. Finally, the scientific method in which the infrared remote sensing is synchronized with the ground temperature monitoring is outlined. This work can help people to have a scientific understanding and countermeasure to the heat feeling in urban travelling.

Abstract:The operation principles of solar cells are presented and their physical models are given. An indoor experiment for measuring the output characteristics of amorphous silicon thin-film cells is designed and the experimental result is analyzed. A small separate photovoltaic (PV) power generation system is built. Its engineering structure is given. The experimental result shows that the conversion efficiency of the solar cells is consistent with the result measured in laboratory. The system is proved to be reliable and high efficient.

Abstract:A ganoderma lucidum spore oil authentication method is established by using near-infrared spectroscopy. The sunflower oil, barley oil, peanut oil, corn oil and blend oil are mixed into the ganoderma lucidum spore oil respectively. These mixed oil has a volume percentage from 0 to 100. The near-infrared spectroscopy is used for determination. After the optimal spectral bands are selected, a quantitative analysis model is established by using Partial Least Squares (PLS). The model has a relative prediction error in the range from -0.357 to 0.435 for the mixed oil with different adulterated percentages. The research result shows that this analysis method based on chemometrics and near-infrared spectroscopy is a simple, rapid, low-cost and accurate method for the authentication of oil kinds and the detection of mixer content.

Abstract:200 different kinds of potato are taken as samples. The samples are preprocessed with the vacuum microwave freeze-dry technique. A model for predicting four main processing quality indexes (water, reducing sugar, starch and protein) of potato is established by using the Fourier transform near-infrared spectroscopy. By taking the determination coefficient (R²), root mean square error of cross validation (RMSECV), root mean square error of prediction (RMSEP) and relative predictive determination (RPD) as the accuracy evaluation indexes of the model, the prediction results of the model are verified with 50 kind-unknown potato samples externally. The external verification result shows that it is feasible to predict the main processing quality indexes of potato. The prediction effectiveness is ideal, but the prediction accuracy should be further improved for protein and reducing sugar.

Abstract:Rapid identification of biochar traceability is of importance to the reasonable development and application of biochar. In this experiment, 14 kinds of biochar are taken as the research samples. The measured spectral data and principal components are compressed and extracted respectively by using the principal component analysis (PCA). The two dimensional distribution profile derived with the first and second principal components exhibits the distribution characteristics of different biochar samples. The linear identification model formed by the first three principal components has the best prediction effectiveness and the fewest error for the validation set. The experimental result shows that the spectroscopy combined with PCA can be used for the rapid identification and diagnosis of biochar.