Biomedical subjects

Hai-yan Ji

Publications and source records attributed to Hai-yan Ji.

3 recordsLinked to original sources

PubMed2006

[Building artificial neural networks model on portable NIR integrity wheat component measuring apparatus].

The quantitative analysis model of protein in integrity wheat was built by three layers back propagation artificial neural networks for portable near infrared (NIR) integrity wheat component measuring apparatus. The structure diagram of integrity wheat component measuring apparatus, light route structure of apparatus and the spectrum of integrity wheat were given in the present paper. The theory of artificial neural network was briefly introduced and the results of quantitative analysis model of protein were given. For calibration set and prediction set, the correlation coefficient was 0.90 and 0.96 respectively; the relative standard deviation is 3.77% and 4.46% respectively. Because of the influence of light route structure, electrical circuit, and integrity sample forms on the measuring apparatus, some nonlinearity exists between the spectral parameters and chemical values. The results of artificial neural networks nonlinear model were superior to linear model.

Neural Networks, Computer↗

PubMed2006

[Simultaneous determination of glucose, fructose and sucrose in aqueous solution by short-wavelength near infrared spectroscopy].

The calibration model for simultaneous determination of glucose, fructose and sucrose in aqueous solution was built by partial least squares and short-wavelength near infrared spectroscopy (800-1,100 nm). Twenty five samples in calibration set and 9 samples in prediction set were designed by orthogonal design. Building models from calibration set and validation for prediction set obtained the better results. For concentrations of glucose, fructose and sucrose in the ranges of 12.23-61.14 mg x mL(-1), 12.50-62.50 mg x mL(-1) and 12.09-60.44 mg x mL(-1), the relative standard deviations in the calibration set are 1.43%, 4.51% and 1.59% respectively, and the relative standard deviations in the prediction set are 3.40%, 3.73% and 2.80% respectively. The advantages of the method are simple and effective, with low cost for the simultaneous determination of multi-component system. It may be applied in practice easily.

English Abstract↗

PubMed2004

[Development of portable LED-based NIR integrity wheat component measuring apparatus].

A integrity wheat component quickly measuring apparatus which based on NIR LED was developed, by using new chip and designing software. While providing a lower cost apparatus, it also provides quick answer speed and smaller size for fieldwork of wheat's components measuring. The apparatus is made up of NIR LED, interference filter, lens, Si photronic detector, microprocessor system and calibration model. Compared with other instrument, the apparatus has many advantages, such as compact space, simple structure, low power waste, and anti-shake. This paper introduces the design of the apparatus, and predicts the concentration of wheat protein. The apparatus can realize non-damage measurement of wheat components' concentration on fieldwork.

English Abstract↗