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| 1 | 近红外、中红外光谱技术在无机元素分析检测中的应用显示文摘利用近红外光谱与中红外光谱,结合化学计量学建模方法进行无机元素分析检测,具有快速、无损、绿色环保等优点,现已广泛应用于环境、农业、食品、生物、医药及石油化工等领域。究其原理,无机微量元素虽然在红外区没有吸收峰,但是被测物中的有机质、金属及非金属氧化物可与无机微量元素形成螯合物或络合物,这就使得近红外光谱与中红外光谱定性、定量检测无机微量元素成为可能。文章综述了近红外光谱与中红外光谱在沉积物、土壤、堆肥与动植物样品中无机微量元素定性、定量检测方面的应用及其机理研究,以及富集技术结合近红外光谱实现水溶液中金属离子检测的研究进展。 | 朱向荣 李高阳 单杨 | 2015 | 浙江农业学报2015，27，9： | 5 |
| 2 | Rapid estimation of soil heavy metal nickel content based on optimized screening of near-infrared spectral bands显示文摘In near-infrared spectroscopy,the traditional feature band extraction method has certain limitations.Therefore,a band extraction method named the three-step extraction method was proposed.This method combines characteristic absorption bands and correlation coefficients to select characteristic bands corresponding to various spectral forms and then uses stepwise regression to eliminate meaningless variables.Partial least squares regression(PLSR)and extreme learning machine(ELM)models were used to verify the effect of the band extraction method.Results show that the differential transformation of the spectrum can effectively improve the correlation between the spectrum and nickel(Ni)content.Most correlation coefficients were above 0.7 and approximately 20%higher than those of other transformation methods.The model effect established by the feature variable selection method based on comprehensive spectral transformation is only slightly affected by the spectral transformation form.Infive types of spectral transformation,the RPD values of the proposed method were all within the same level.The RPD values of the PLSR model were concentrated between 1.6 and 1.8,and those of the ELM model were between 2.5 and2.9,indicating that this method is beneficial for extracting more complete spectral features.The combination of the three-step extraction method and ELM algorithm can effectively retain important bands associated with the Ni content of the soil.The model based on the spectral band selected by the three-step extraction method has better prediction ability than the other models.The ELM model of the first-order differential transformation has the best prediction accuracy(RP^2=0.923,RPD=3.634).The research results provide some technical support for monitoring heavy metal content spectrum in local soils. | Qian Lu Shijie Wang Xiaoyong Bai Fang Liu Shiqi Tian Mingming Wang Jinfeng Wang | 2020 | Acta Geochimica2020，39，1： | 2 |
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