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Báo cáo hóa học: " Feed-forward neural network assisted by discriminant analysis for the spectroscopic discriminantion of cracked spores Ganoderma lucidum: A prospective biotechnology production tool"

Tuyển tập các báo cáo nghiên cứu về hóa học được đăng trên tạp chí hóa hoc quốc tế đề tài : Feed-forward neural network assisted by discriminant analysis for the spectroscopic discriminantion of cracked spores Ganoderma lucidum: A prospective biotechnology production tool | Lim et al. AMB Express 2011 1 40 http www.amb-express.eom content 1 1 40 o AMB Express a SpringerOpen Journal ORIGINAL Open Access Feed-forward neural network assisted by discriminant analysis for the spectroscopic discriminantion of cracked spores Ganoderma lucidum A prospective biotechnology production tool Chee Wei Lim 1 11 Sheot Harn Chan1 and Angelo Visconti2 Abstract A major problem for manufacturers of cracked spores Ganoderma lucidum a traditional functional food Chinese medicine TCM is to ensure that raw materials are consistent as received from the producer. To address this a feed-forward artificial neural network ANN method assisted by linear discriminant analysis LDA and principal component analysis PCA was developed for the spectroscopic discrimination of cracked spores of Ganoderma lucidum from uncracked spores. 120 samples comprising cracked spores uncracked spores and concentrate of Ganoderma lucidum were analyzed. Differences in the absorption spectra located at v1 1143 - 1037 cm-1 v2 1660 - 1560 cm-1 v3 1745 - 1716 cm-1 and v4 2845 - 2798 cm-1 were identified by applying fourier transform infrared FTIR spectroscopy and used as variables for discriminant analysis. The utilization of spectra frequencies offered maximum chemical information provided by the absorption spectra. Uncracked spores gave rise to characteristic spectrum that permitted discrimination from its cracked physical state. Parallel application of variables derived from unsupervised LDA PCA provided useful feed-forward information to achieve 100 classification integrity objective in ANN. 100 model validation was obtained by utilizing 30 independent samples. v1 was used to construct the matrix-matched calibration curve n 10 based on 4 levels of concentration 20 40 60 and 80 uncracked spores in cracked spores . A coefficient of correlation r of 0.97 was obtained. Relative standard deviation RSD of 11 was achieved using 100 uncracked spores n 30 . These results demonstrate the .