Dynamic Multivariate Outlier Detection Algorithm Using Ultraviolet Visible Spectroscopy for Monitoring Surface Water Contamination With Hydrological Fluctuation in Real-Time.

The contamination of surface water is of great harm. Ultraviolet-visible (UV-Vis) spectroscopy is an effective method to detect water contamination. However, surface water quality is influenced by hydrological fluctuation caused by rain, change of flow, etc.

[Temperature effect on the noninvasive measurement of human blood glucose by NIR].

During the noninvasive measurements of body blood glucose, the result will be effected by many factors, such as the measuring conditions including temperature, contact pressure and so on, and in addition the change of body's state also will induce some error. However, among so many factors the temperature is very important and should be discussed. To find the quantitative value of the result bias caused by temperature in the wavelength range from 1 100 to 1 700 nm, the aqueous glucose with the concentration ranging from 10 mg x dL(-1) to 200 mg x dL(-1) and 10 mg x dL(-1) interval was detected at temperature of 15, 20, 25, 30, 35 and 40 degrees C.

Quantitative effect of temperature to the absorbance of aqueous glucose in wavelength range from 1200nm to 1700nm.

In this paper, to find the quantitative errors of aqueous glucose induced by the temperature change at every wave point ranging from 1200nm to 1700nm, the calibration curve is calculated and shown. During the measurement the temperature varies from 30 degrees to 40 degrees , at a 2 degrees interval, and aqueous glucose concentration ranges from 100mg/dL to 500mg/dL, at a interval of 100mg/dL. The absorption of aqueous glucose decreases with the increasing of temperature, also the absorbance decreases.

[Fast outlier detection for milk near-infrared spectroscopy analysis].

Near-infrared spectroscopy is a fast and efficient analytical technique based on multivariate calibration model, which correlates near-infrared spectra with the property of samples (such as concentration). The reliability of analytical results depends mostly on the accuracy of measured spectra. But outliers do not make for reliable data.

[Experimental research on OGTT for non-invasive blood glucose detection through near-infrared spectroscopy ranging from 1100 nm to 1700 nm].

For non-invasive blood glucose detection through near-infrared spectroscopy, it is very important to ensure the data quantity and reliability of calibration model. In this paper, the method of sampling blood by tubing pump in OGTT (Oral Glucose Tolerance Test) is used to get reliable and adequate reference data of blood glucose concentration for calibration model, and the non-invasive blood detection system based on the AOTF (Acousto-Optic Tunable Filter) ranging from 1100 nm to 1700 nm is designed. 3 experiments were performed by the above system and method.