Determination of sulfur in Lithium Nickel Manganese Cobalt composites by inductively coupled plasma optical emission spectroscopy

Yan Zhao1 , Yanyan Xie2 , Xiaoyan Bai3 , Yan Gao4 , Mengqiao Hu5

1, 2, 3, 4, 5China United Test and Certification Company Ltd., Beijing, 100088, China

2Corresponding author

Vibroengineering PROCEDIA, Vol. 42, 2022, p. 89-94. https://doi.org/10.21595/vp.2022.22497
Received 7 March 2022; received in revised form 28 March 2022; accepted 9 April 2022; published 16 May 2022

56th International Conference on Vibroengineering, Zittau, Germany, May 16, 2022

Copyright © 2022 Yan Zhao, et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Abstract.

Due to diverse applications of Lithium Nickel Manganese Cobalt (LiNixCoyMnz, NCM) composites in advanced electronics and material/alloy, the analysis of impurity composition is an important areas for evaluating its quality. In this paper, the sulfur determination in NCM composites by Inductively Coupled Plasma Optical Emission Spectroscopy (ICP-OES) was proposed. The coexisting impurities effect of Si, Fe, Mn, Mg, Ca, Ni, Cr and main matrix was investigated. Using the optimized conditions, a good linear relationship of sulfur was exhibited in the range of 0-10 mg/L (r 0. 9999), the standard addition recovery was 98.11-102.07 % and the RSD was 3.69 %, the levels of coexisting impurities lower than 5.0 % has no obvious interference on the determination of sulfur. This method could be served as a reliable determination of trace sulfur content in NCM composites.

Keywords: sulfur, Lithium Nickel Manganese Cobalt, ICP-OES.

1. Introduction

Driven by the social and economic progress, the newly sustainable, clean, and high-performance energy storage devices have been highly required. The civilization has been wrapped by a huge number of smart electronics gadgets, especially built with different types of sensors and communication devices [1-6]. The main classes of electrochemical energy storages are batteries, fuel cells and electrochemical capacitors et.al. Among a variety of energy storage devices, Lithium ion batteries (LIBs), as a renewable power source, have attracted wide attentions towards their long cycle life and fast charge/discharge rates [7-11]. To meet the recent demand for minimizing the size of portable electronics and electrifying transportation, it is necessary to develop efficient electrode materials for LIBs having an excellent rate capability, and cycling stability [12-14].

In a recent past, acceleration in the development of advanced technologies in the area of electronics, Lithium Nickel Manganese Cobalt (NCM) composites have been investigated in many fields of application, especially can be used as anode material for Lithium ion batteries. LiNixCoyMnz (NCM) is a ternary cathode material with high practical capacity. Many Lithium Nickel Manganese Cobalt (NCM) composites have been proved to be promising due to their low cost, high chemical stability and excellent electro catalytic properties. It is well known that NCM composites production process is of high industrial importance and some impurities could affects the properties of the product. Thus, it is important to secure the purity of the product to meet the growing demand.

The presence of sulfur in NCM composites has influences on its end functional properties in some degree. At present, the method for the determination of sulfur in NCM composites include spectrophotometry, ion chromatography, Ion selective electrode method and so on. These analytical methods also have limitations such as complex sample pretreatment processes, fluctuation value and complex detection period [15-18]. Therefore, it is of practical significance to develop a method that is simple and can meet batch sampling detection requirements. ICP-OES is a multi-element technique that allows the determination of 75 elements in the periodic table, which is simple, rapid, and achievable.

In this paper, the determination of sulfur in NCM composites by ICP-OES method was reported. Accuracy, precision and recoveries were carried out to ensure this work. Meanwhile, the influences of matrix effects were systematically clarified.

2. Methods and materials

2.1. Reagents and chemicals

Analytical reagent (AR) grade reagents and solvents were applied for all experiments. The NCM samples were supplied by Grirem Advanced Materials t Co., Ltd., China. The Ultrapure water obtained by Millipore unit (Millipore, USA) was applied for the preparation of samples. Si, Fe, Mg, Ca, Na, Zn, Cu, Zr and S standard solution of 1000 mg/L was supplied by National Institute of Metrology. In the experiment, all the gases used (H2, N2, Ar and He) were of 99.999 % purity.

2.2. Sample preparation

In a typical process, 0.1000 g sample was accurately weighed and fully dissolved in nitric acid and heated at a low temperature without other preparation. The aliquot of solution was placed in ptfe griffin beaker for several hours and then simultaneously transfer into a 100 ml flask. All samples were passed through syringe filter before injection to the test system. At specified time intervals, about 5 ml was taken from solution and analysed by ICP-OES. All Samples were prepared according to the above process.

2.3. Standard stock solution

2.3.1. Sulfur standard solution A

10 mL of sulfur standard solution (1000 mg/L) was drawn into a 100 mL volumetric flask. Sulfur standard solution of 100 mg/L was prepared as stock solution A.

2.3.2. Multi-element mixed standard solution B

10 mL of Si, Fe, Mg, Ca, Na, Zn, Cu, Zr standard solution (1000 mg/L) was drawn into a 100 mL volumetric flask, respectively. A multielement mixed stock solution B was obtained, which included Si, Fe, Mg, Ca, Na, Zn, Cu, Zr standard solution of 100 mg/L.

2.4. Standard solutions

The sulfur standard solutions between 0 and 10 mg/L were prepared by diluting the stock solution A appropriately. The substances include amount of Ni, Co, Mn and Li were added into the liquid as a base. The calculated quantification of impurity content were carried to evaluate the effectiveness of the effect of impurity influence. A slope was used to explore the recovery values during the determining of samples.

2.5. Equipment

An ICP-OES (SPECTRO ARCOS) was used for the identification and analysis of sulfur in NCM samples.

2.6. Calculation

The value of the sulfur is determined by the calculation method as bellow:

(1)
w=(ρ-ρ0)V×10-6m×100%,

where, ρ and ρ0 (μg/mL) stand for the content of the measured component in the sample solution and blank solution; V (mL) stands for the total volume of the solution; m (g) stands for the quality of sample.

3. Results and discussion

3.1. Selection of optimum elemental analysis wavelength

An ICP-OES (SPECTRO ARCOS) was used in this experiment. The main operating parameters are as follows: a peristaltic pump was used with a flow rate of 2 mL/min, transmitted power 1350 W, coolant gas flow rate 0.8 L/min, auxiliary gas flow rate 0.8 L/min and nebulizer gas flow rate 0.8 L/min (Table 1). According to the optimum instrument conditions, the spectral intensity of sulfur in standard series solution, blank solution and sample solution would be measured.

The interference-free model was investigated for sulfur by recording the spectra of the sample solution and potentially interfering factor near the analytical line. Considered about the interfering factor near the analytical line and high precision for detection, the wavelength 182.034 nm was selected for this study.

Table 1. Optimum operating parameters

Parameter
Value
Parameter
Value
Transmitted power
1350 W
Flow rate of sample uptake
2 ml/min
Flow rate of nebulizer gas
0.80 L/min
Atomizer pressure
2.8 bar
Flow rate of auxiliary gas
0.80 L/min
replicate readings
3
Flow rate of plasma gas
0.80 L/min
one read time
40s

3.2. Sample analysis

3.2.1. Linearity, LOD and LOQ

The method for sulfur analysis was validated on the basis of linearity, limit of detection (LOD), limit of quantitation (LOQ). Calibration standards of sulfur at concentration levels of 0, 1, 2, 5 and 10 mg/L were used to plot the calibration. Meantime, a good linear relationship of the proposed analytical model was obtained, as show in Fig. 1. The corresponding linear calibration curve (correlation coefficient) was 0.9999. Equation: y=38247x+40118.

Fig. 1. Representative standard calibration curve of sulfur

Representative standard calibration curve of sulfur

The LOD (noise ratio of 3:1) and LOQ (noise ratio of 10:1) values of this proposed method was calculated corresponding to a signal of blank samples (Sb), as shown in Eqs. (2) and (3), respectively:

(2)
LOD=3×Sb,
(3)
LOQ=10×Sb.

The LOD for the sulfur was 0.0031 % while the LOQ was 0.0094 %.

3.2.2. Accuracy and precision

The average (AV) sulfur present in samples was 0.0226 %. For this, the relative standard deviation (RSD) was used to estimate the repeatability and precision. RSD was 3.69 %, which was lower than 5 % for all analytes and revealed the application of ICP-OES method for sulfur analysis (Table 2).

Table 2. Sulfur conten and precision of determination method (n= 7)

Sample
Content %
AV %
RSD %
NiCoMnLi
0.0221, 0.0232, 0.0228, 0.0231, 0.0212, 0.0234
0.0226
3.69

3.2.3. Analysis of recovery of standard addition

Standard recovery test was used to verify this method. The operation steps are as follows: weigh three parallel samples according to the same processing method above-mention. Then, added three different concentration levels of sulfur standard solution. It can be seen that the recovery rates of sulfur in NCM samples are between 91.88 % and 102.07 %. The specific recoveries of standard addition are shown in Table 3. These values are acceptable and effective for detecting sulfur in NCM samples.

Table 3. The recovery of standard addition of sulfur in NCM samples

Sample
S Concentration (%)
Recovery rate (%)
Initial
Add
Finally
NiCoMnLi
0.0226
0.05
0.0736
102.07
0.1
0.1194
96.83
0.2
0.206
91.88

3.3. Interference of impurity effects

According to previous studies, the impurity elements include Si, Fe, Mg, Ca, Na, Zn, Cu and Zr may be existed in the NCM materials. Atomization and excitation of sulfur may be influenced by the coexisting component and thus lead to undesired results. In this work, we carried out several experiments to verify these impurity elements interferences. The calculated standard solution B (0.1 %, 0.5 %, 1 %, 2 %) of target analyte was added to each samples and the recoveries were found in the range of 94.69 %-98.67 %, as shown in Table 4. Those results showed that impurity elements levels lower than 5 % can hardly affect the detection of sulfur in NCM samples.

Table 4. Influence of Si, Fe, Mg, Ca, Na, Zn, Cu and Zr on determination of sulfur

Sample
Concentration (%)
Recovery rate (%)
Initial (S)
Add (B)
Finally (S)
NCM
0.0226
0.1
0.0215
95.13
0.5
0.0223
98.67
1
0.0221
97.79
2
0.0214
94.69

4. Conclusions

An ICP-OES method was used for the detection and confirmation of sulfur in NCM samples. All the obtained values proves the usefulness of the method, the low values of the LOD proves the applicability of the method in samples where low amount of the sulfur is present. The average recoveries obtained by the standard addition method ranged from 84.0 % to 120.0 % with the RSD values was 3.96 %. There was no obvious interference in the determination of sulfur with coexisting impurities effect (≤ 2 %). Thus, ICP-OES as a feasible and selective analytical method can provide references for the quality evaluation of NCM composites.

Acknowledgements

The authors acknowledge the financial support by National test and evaluation platform for advanced materials- Primary center (TC170A5SU/1) and National test and evaluation platform for advanced materials – Nonferrous metals center (TC190H3ZW/2).

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