[Convertibility of the data determined by ICP-AES and FAAS for soil available K and Na].
In recent years, inductively coupled plasma atomic emission spectrometry (ICP-AES) have been commonly used to determine the soil available K and Na with the extraction solution of HCl-H2SO4, while previous data of soil available K and Na were measured by flame atomic absorption spectrometry (FAAS) with the extraction solution of NH4OAc. In order to utilize previous data, quest for the convertibility of the data determined by ICP-AES and FAAS, and compare the data determined by both methods, the authors chose four types of soil to determine soil available K and Na by ICP-AES and FAAS, respectively. Four types of soil represent grit soil, clay, silt from river and silt from sea, respectively. Soil samples included four types of soil and these samples represent different soil nutrition. The authors analyzed the correlations of two kinds of measured data. The paired samples t-test proves that there was significantly positively correlation between these two methods. The correlation coefficient of the data between these two methods for measuring soil available K is 0.98. The results of soil available K determined by the two methods can be conversed through the formula, y = l.14x + 6.53 (R2 = 0.91, n=24, p < 0.001). As for Na, although there is a significantly positively correlation between these two methods, the slopes of single model of clay and grit soil were different from that of general model. And so the results determined by the two methods can be conversed through different formula according to the types of soil, that is, for clay: y = l.23x + 10.03; for grit soil: y = 3.12x - 23.03; for silt: y = 0.60x. In conclusion, the authors' results showed that previous data of available K and Na measured by FAAS with the extraction solution of NH4OAc were available. And these data were comparable to the data measured by ICP-AES through definite formula The authors' results also suggested that ICP-AES was preferable when many elements were measured at the same time. Under this condition, ICP-AES was economical, efficient and reliable.
Zhang
Jian-min
JM
College of Life Sciences, Zhejiang University, Hangzhou 310058, China. jminzhang@163.com
Wang
Meng
M
Ge
Xiao-ping
XP
Wu
Jian-zhi
JZ
Ge
Ying
Y
Li
Shi-peng
SP
Chang
Jie
J