Quantitative Determination of Water-Soluble P in Biochar Based on NELIBS Technology and EN-SVR Model

Mei GUO; Ruo-yu ZHANG; Rong-guang ZHU; Hong-wei DUAN

doi:10.3964/j.issn.1000-0593(2021)07-2301-06

Journals >Spectroscopy and Spectral Analysis >Volume 41 >Issue 7 >Page 2301 > Article

Spectroscopy and Spectral Analysis
Vol. 41, Issue 7, 2301 (2021)

Quantitative Determination of Water-Soluble P in Biochar Based on NELIBS Technology and EN-SVR Model

Mei GUO^{1、1; 2;}, Ruo-yu ZHANG^{2、2; 3;}, Rong-guang ZHU^{2、2; 3;}, and Hong-wei DUAN^{1、1; 2; *;}

Author Affiliations

¹1. School of Agricultral Engineering, Jiangsu Uniersity, Zhenjiang 212013, China

²2. College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China

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DOI: 10.3964/j.issn.1000-0593(2021)07-2301-06 Cite this Article

Mei GUO, Ruo-yu ZHANG, Rong-guang ZHU, Hong-wei DUAN. Quantitative Determination of Water-Soluble P in Biochar Based on NELIBS Technology and EN-SVR Model[J]. Spectroscopy and Spectral Analysis, 2021, 41(7): 2301 Copy Citation Text

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Fig. 1. Schematic diagram of sample pretreatment process

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Fig. 2. Analysis of sample droplet morphology

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Fig. 3. Signal enhancement effect of gold nanoparticles with different sizes

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Fig. 4. Univariate model
(a): P 213.26 nm; (b): P 214.93 nm; (c): P 253.55 nm; (d): P 255.33 nm

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Fig. 5. Selected feature variables using ElasticNet

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Fig. 6. The optimal result of the characteristic multivariate regression model
(a): SVR; (b): ARP and RSDP of predict

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分析线	AuNPs	$R_{cal}^{2}$	RMSEC/ (mg·kg^-1)	LOD/ (mg·kg^-1)	$R_{p}^{2}$	RMSEP/ (mg·kg^-1)	RSDP/%
213.62 nm	无	0.360	7.593	13.897	0.962	2.572	25.86
	45 nm	0.977	1.425	1.676	0.921	1.927	19.37
	73 nm	0.875	3.359	3.419	0.338	5.579	56.09
	105 nm	0.919	2.708	2.287	0.584	4.678	47.03
214.93 nm	无	0.567	6.240	12.295	0.892	2.265	22.77
	45 nm	0.993	0.784	2.439	0.943	1.482	14.90
	73 nm	0.904	2.933	2.454	0.299	5.458	54.87
	105 nm	0.939	2.352	2.447	0.613	4.543	45.67
253.55 nm	无	0.538	6.452	11.611	0.880	2.820	28.35
	45 nm	0.966	1.741	3.935	0.833	2.578	25.92
	73 nm	0.805	4.191	4.279	0.217	6.068	61.00
	105 nm	0.842	3.776	4.491	0.505	5.203	52.31
255.33 nm	无	0.013	9.426	349.031	0.015	6.940	69.77
	45 nm	0.962	1.849	9.184	0.906	2.258	22.70
	73 nm	0.810	4.139	12.702	0.028	7.838	78.80
	105 nm	0.854	3.621	12.337	0.540	6.010	60.42

Table 1. Effect of univariate model enhanced by different size gold nanoparticles

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样品	设备	浓度/(mg·kg^-1)	分析方法	ARP/%	RSDP/%	参考文献
生物炭	单脉冲LIBS	<30.42	EN-SVR	5.40	11.09	本文
土壤	辉光放电LIBS	<333 000	单变量校正法	-	8	[12]
肥料	单脉冲LIBS	<200 000	单变量校正法	15	-	[13]

Table 2. Comparison of the results of LIBS calibration model for phosphorus in related literatures

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