JSFA

Article http://dx.doi.org/10.26855/ijfsa.2023.12.013

Practical Research on Soil Nutrient Detection Technology Based on Visual Colorimetry

TOTAL VIEWS: 796

Ruijuan Zhao1,*, Xianjie Cai2, Wenlin Liu1, Yafan Cao2, Xuebo Qiu1

1Guizhou Academy of Tobacco Science, Guiyang, Guizhou, China.

2Shanghai Tobacco Group Co., Ltd., Shanghai, China.

*Corresponding author: Ruijuan Zhao

Published: January 22,2024

Abstract

Objective: Research on rapid detection equipment for nutrients in soil to achieve on-site multi-indicator rapid detection of soil. Method: Design the hardware of the equipment, including the design of extraction reagents, colorants, and colorimetric strips; And verify the reliability of soil rapid detection equipment. Result: By analyzing the detection principles of nutrients in soil, a rapid detection equipment for soil nutrients has been developed. The precision and stability validation was conducted using this equipment and the methods specified in national standards under the same concentration conditions. The results showed that there was no significant difference between the two methods for organic matter, ammonium nitrogen, available phosphorus, and available potassium in soil. The rapid detection equipment for soil nutrients is reliable. Conclusion: The rapid soil detection equipment has high detection accuracy and stability, which can meet the requirements of on-site rapid soil detection.

References

[1] An Jiaqi, Fan Pengzhi, Zhang Yu, et al. Determination of soil available potassium content by atomic absorption spectrophotometer [J]. Journal of Agricultural Engineering Technology, 2019, 40(11): 46-47. (in Chinese)

[2] Wang Ronghui, Bai Dong, Zhang Lu, et al. Simultaneous determination of exchangeable calcium, magnesium and available potassium in soil by ICP-OES [J]. Zhejiang Agricultural Sciences, 2019, 62(09): 1853-1856.

[3] Direction, Wang Wencai, Jin Xiu, et al. Detection method of soil available phosphorus by visible near-infrared spectroscopy [J]. Jiangsu Journal of Agricultural Sciences, 2019, 35(05): 1112-1118. (in Chinese)

[4] QI Peishan, Zhu Pengsheng, & Xie Tianyao. Rapid and sensitive detection of available phosphorus in soil based on non-contact conductance detection and online enrichment technology [J]. Journal of Analysis and Testing, 2012, 41(05): 787-791.

[5] Azabdaftari A & Sunarb F. Soil salinity mapping using multitemporal Landsat data [J]. The International Archives of the Photo-grammetry, Remote Sensing and Spatial Information Sciences, 2016, 7: 3-9.

[6] Lamine S, Petropoulos GP, Brewer PA, et al. Heavy metal soil contamination detection using combined geochemistry and field spectroradiometry in the United Kingdom [J]. Sensors, 2019, 19(4): 762.

[7] Bai Qing-Hong, Jiang Ying, Liang Qi, et al. Improvement of soil organic matter detection method and process optimization [J]. Guangdong Chemical Industry, 2019, 46(05): 91-92. (in Chinese)

[8] Duan Ailing, Han Zhangxiong, Huang Yan, et al. Determination of ammonium nitrogen in soil by indophenol blue colorimetry [J]. Contemporary Chemical Industry, 2021, 50(12): 2861-2864. (in Chinese)

[9] GAO Jingyi, Zhao Xiuping, Wang Zongyi, et al. Rapid determination of 5 heavy metals in water-soluble fertilizer containing alginate by energy dispersive X-ray fluorescence [J]. China Soil and Fertilizer, 2022, (12):238-242.

[10] Zhang Xin-Yu, Chen Fang, Hao Xiaoli, et al. Rapid detection of soluble humic acid in mineral-derived humic acid fertilizer [J]. China Soil and Fertilizer, 2021, (4): 358-362. (in Chinese)

[11] Xie Yujun, Li Yanmeng, & Wei Jianqiang. Simultaneous determination of available potassium and exchangeable calcium and magnesium in soil by oscillating extraction inductively coupled plasma emission spectrometry [J]. China Soil and Fertilizer, 2020, (3): 224-227.

[12] Zhu Fubin, Ding Shiwei, Gan Xiaoyu, et al. Prediction of soil available potassium distribution in cultivated land in Anqing City based on three spatial prediction methods [J]. China Soil and Fertilizer, 2021, (1):1-8.

[13] Guo Wenmiao, Xin Yu, Zhang Jinyao, et al. Determination of ammonium nitrogen in water samples by indophenol blue colorimetry with full-wavelength scanning multifunctional reading instrument [J]. China Soil and Fertilizer, 2018, (4):166-170.

[14] Li Xue, Fan Zhongqing, Gao Han, et al. Construction of rapid soil organic matter detection model based on hyperspectrum [J]. Journal of Shandong Agricultural University (Natural Science Edition), 2021, 52(5): 833-839. (in Chinese)

[15] Niu Fangpeng, Li Xinguo, Jin Wangui, et al. Estimation of soil organic matter content in lakeside oasis on the west bank of Bos-ten Lake by hyperspectral method [J]. China Soil and Fertilizer, 2021, (1):9-16.

[16] Corn Ti Maiming & Wang Xuemei. Hyperspectral estimation of desert soil organic matter in the northern margin of Tarim Basin [J]. China Soil and Fertilizer, 2021, (4): 318-326.

[17] Zhang Xiaoyu, Yao Yanmin, & Yan Xiangzhao. Effect of spectral transformation and spectral resolution on estimation accuracy of soil organic matter content [J]. China Soil and Fertilizer, 2023, (3):184-193.

How to cite this paper

Practical Research on Soil Nutrient Detection Technology Based on Visual Colorimetry

How to cite this paper: Ruijuan Zhao, Xianjie Cai, Wenlin Liu, Yafan Cao, Xuebo Qiu. (2023) Practical Research on Soil Nutrient Detection Technology Based on Visual ColorimetryInternational Journal of Food Science and Agriculture7(4), 501-505.

DOI: http://dx.doi.org/10.26855/ijfsa.2023.12.013