Shao Y.-N.,Zhejiang University |
Pan J.,Zhejiang University |
Jiang L.-L.,Zhejiang Technical Institute of Economic |
He Y.,Zhejiang University
Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis | Year: 2015
Identification and classification of microalgae are basis and premise in the study of physiological and biochemical characteristics for microalgae. Microalgae cells mainly consist of five kinds of biological molecules, including proteins, carbonhydrates, lipids, nucleic acids and pigments. These five kinds of biological molecules contents with different ratio in microalgae cells can be utilized to identify microalgae species as a supplement method. This paper investigated the application of Raman microspectroscopy technology in the field of rapid identification on different algae species such as aschlorella sp. and chlamydomonas sp.. Cultivated in the same conditions of culture medium, illumination duration and intensity, these two kinds of species of microalgae cells were immobilized by using agar, and then the samples were placed under 514.5 nm Raman laser to collect Raman spectra of different growth periods of different species. An approach to remove fluorescence background in Raman spectra called Rolling Circle Filter (RCF) algorithm was adopted to remove the fluorescent background, and then some preprocessing methods were used to offset the baseline and smooth method of Savitzky-Golay was tried to make the spectra curves of total 80 samples smoother. Then 50 samples were randomly extracted from 80 samples for modeling, and the remaining 30 samples for independent validation. This paper adopted different pretreatment methods, and used the partial least squares (PLS) to establish model between the spectral data and the microalgae species, then compared the effects of different pretreatment methods. The results showed that with Raman microspectroscopy technology, the pretreatment method of max-peak ratio standardization was a more effective identification approach which utilizes the different content ratios of pigments of different microalgae species. This method could efficiently eliminate the influence on Raman signal due to different growth stages of microalgae and decomposition of pigments contents of microalgae in vivo. Compared with other traditional classification methods, this method had significant advantages like simpler procedure and shorter testing time, and it can also avoid some subjective measurement errors caused by unskilled operations. If the threshold was set to ±0.5, the prediction accuracy can reach 100%, and when the threshold was ±0.2, the prediction accuracy reached 86.67%, which proves the proposed new method can be a good approach to identify different algae varieties. ©, 2015, Science Press. All right reserved.
Guo X.-M.,Zhejiang University |
Guo X.-M.,Zhejiang Technical Institute of Economic |
Chen K.-J.,Zhejiang Technical Institute of Economic |
Hu L.-M.,Zhejiang Technical Institute of Economic |
He Y.,Zhejiang University
Shanghai Ligong Daxue Xuebao/Journal of University of Shanghai for Science and Technology | Year: 2012
The conformation of cash flow table must be taken from all of vouchers because transferring accounting entries will change the final actual cash flow in the accrual. With the help of double-entry bookkeeping and cash flow structure, the model of cash flow turnover about "business, investment, financing and exchange rate changing" and the model of adjustment between "net income and net cash flows from business" were established, which can implement all the project in cash flow statement and its schedule from all of vouchers directly. With the theory and methods of ontology middleware, the conformation of cash flow statement is able to be quickly defined and operated by the table and its predicate calculus, and can be always checked or dissected to effectively follow up on business management in the control of cash flow.