馬鈴薯中重金屬元素鉛和鉻的激光誘導(dǎo)擊穿光譜快速綠色檢測(cè)研究
[Abstract]:With the improvement of modern material living standards, green and safe agricultural products have become the focus of our daily life, and the quality and safety of agricultural products have a direct bearing on people's health. Heavy metal residues in vegetables have a significant impact on the human body, and the residual heavy metal elements in vegetables can not be removed by soaking and boiling. Eating fruits and vegetables containing residual heavy metal elements is very harmful to human body. Heavy metals are accumulated in the human body and have a long incubation period. Potato is one of the five staple foods in China, and it is also the third largest food crop in the world, which is second only to wheat and corn. The potato has high nutritional value, strong adaptability to the environment and high yield. But potato grown in contaminated soil can enrich heavy metal elements and affect the quality of potato. Therefore, it is urgent to develop a new green rapid and effective material composition detection technology. Laser induced breakdown spectroscopy (LIBS) technology has attracted more and more attention due to its advantages of fast, green and multi-element simultaneous detection. Therefore, the purpose of this study was to verify the feasibility of the application of LIBS detection technology in agricultural products, and the heavy metal elements lead and chromium in potato were studied. In order to get better detection effect of LIBS in agricultural products, the parameters of LIBS test device (such as the angle of optical fiber acquisition, focus position) were adjusted. Then, the effect of water content in wet potato samples on the sensitivity of LIBS detection was discussed. Compared with the LIBS detection results of dry and wet potato samples, the sensitivity and stability of dry potato samples were obviously better than that of wet potato samples. Therefore, in order to improve the sensitivity and stability of potato LIBS detection, the wet potato was pretreated by vacuum freezing and grinding, and then the potato powder was made by pressing the sample manually. Secondly, the acquisition parameters of LIBS test are optimized, and the effects of spectrum acquisition delay time, spectral sampling gate width and laser energy value on LIBS signal acquisition are analyzed. Finally, the spectrum acquisition delay time is determined. The optimum parameters of spectral sampling gate width and laser energy value are 2 渭 s ~ 8ms and 90mJ. Finally, the LIBS spectral data of 96 contaminated potato samples were smoothed from 3 to 17:00, and the smooth data were transformed into standard normal variables and the mean value was centered. The derivation denoising (first order and second order derivation) and multivariate scattering correction are preprocessed, and then the linear regression is used respectively. The relationship between the LIBS signal intensity and the concentration of Pb Cr heavy metal elements in potato samples was established by partial least square method and combined interval partial least square method, and the predicted values were compared with the actual values. The results show that laser induced breakdown spectroscopy is feasible for the detection of heavy metals in potato, which provides a theoretical basis and technical support for rapid detection of heavy metals in other agricultural products by laser induced breakdown spectroscopy.
【學(xué)位授予單位】:江西農(nóng)業(yè)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類號(hào)】:S532;TN24;O433
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