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Non-destructive estimation of leaf moisture content of Epipremnum aureum based on electrical impedance spectroscopy

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Abstract

Electrical impedance spectroscopy (EIS) is a technique used for detection of leaf moisture content (LMC). Generally, EIS is inconvenient and destructive. This paper proposed a non-destructive method for predicting LMC of Epipremnum aureum based on the impedance spectrocopy with the combination of ECG gel and needle electrodes. An effective equivalent circuit model for the corresponding gel contact method was established. The LMC model of E. aureum was obtained based on equivalent circuit parameters. The results demonstrated that there were two arcs in the Cole–Cole plots of the leaves measured by the gel contact method. The arc in the high frequency region reflected the impedance characteristics of the leaf, while the arc in the low frequency region was relevant to the impedance of the ECG gel and the polarization impedance caused by the contact with leaves. The gel contact model was suitable for fitting the leaf impedance spectroscopy measured by the gel contact method. The RR2 and RX2 for each R and X were both greater than 0.999. Meanwhile, the LMC prediction model based on extracellular resistance showed the best performance, with the coefficient of determination (R2) and root-mean-square error (RMSE) for prediction being 0.803, 0.0580, respectively.

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References

  • Ando Y, Mizutani K, Wakatsuki N (2014) Electrical impedance analysis of potato tissues during drying. J Food Eng 121(1):4–31

    Google Scholar 

  • Basak R, Wahid K, Dinh A (2020a) Determination of leaf nitrogen concentrations using electrical impedance spectroscopy in multiple crops. Remote Sens 12(3):566–584

    Article  Google Scholar 

  • Basak R, Wahid K, Dinh A, Soolanayakanahally R, Fotouhi R, Mehr AS (2020b) Rapid and efficient determination of relative water contents of crop leaves using electrical impedance spectroscopy in vegetative growth stage. Remote Sens 12(11):1753–1764

    Article  Google Scholar 

  • Basyigit IB (2019) The examination and modeling of moisture content effect of banana leaves on dielectric constant for remote sensing. Microw Opt Technol Lett 62(3):1087–1092

    Article  Google Scholar 

  • Cao C, Zhang J (2002) An introduction to electrochemical impedance spectroscopy. Science Press, Beijing

    Google Scholar 

  • Ceccato P, Flasse S, Tarantola S, Jacquemoud S, Grégoire J (2001) Detecting vegetation leaf water content using reflectance in the optical domain. Remote Sens Environ 77(1):22–33

    Article  Google Scholar 

  • Cheng T, Rivard B, Sánchez-Azofeifa A (2010) Spectroscopic determination of leaf water content using continuous wavelet analysis. Remote Sens Environ 115(2):659–670

    Article  Google Scholar 

  • González-Araiza JR, Ortiz-Sánchez MC, Vargas-Luna FM, Cabrera-Sixto JM (2016) Application of electrical bio-impedance for the evaluation of strawberry ripeness. Int J Food Prop 20(5):1044–1050

    Article  Google Scholar 

  • Ibba P, Falco A, Abera BD, Cantarella G, Petti L, Lugli P (2020) Bio-impedance and circuit parameters: an analysis for tracking fruit ripening. Postharvest Biol Technol 159:110978

    Article  CAS  Google Scholar 

  • Iftikhar Hussain M, El-Keblawy A, Elwakil AS (2018) Aluminum influence on calotropis procera seedling growth, nutrient accumulation and electrochemical attributes. Flora 248:34–42

    Article  Google Scholar 

  • Islam M, Wahid KA, Dinh AV, Bhowmik P (2019) Model of dehydration and assessment of moisture content on onion using EIS. J Food Sci Technol 56(6):2814–2824

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Jamaludin D, Abd Aziz S, Ahmad D, Jaafar HZE (2015) Impedance analysis of Labisia pumila plant water status. Inf Process Agric 2(3–4):161–168

    Google Scholar 

  • Jamaludin D, Abd Aziz S, Ahmad D, Jaafar HZE (2017) Evaluation of total flavonoid content of Labisia pumila leaves based on impedance measurements. Acta Hortic 1152:203–210

    Article  Google Scholar 

  • Khaled DE, Castellano NN, Gazquez JA, García Salvador RM, Manzano-Agugliaro F (2017) Cleaner quality control system using bioimpedance methods: a review for fruits and vegetables. J Clean Prod 140:1749–1762

    Article  Google Scholar 

  • Lao D, Li F (2015) Study on diagnosis of leaf water content of grapevine based on image processing. Water Saving Irrig 3:5–11

    Google Scholar 

  • Leng Y, Sun Y, Wang X, Hou J, Zhao X, Zhang Y (2020) Electrical impedance estimation for pork tissues during chilled storage. Meat Sci 161:108014

    Article  PubMed  Google Scholar 

  • Li J, Li M, Mao H, Zhu W (2016a) Diagnosis of potassium nutrition level in Solanum lycopersicum based on electrical impedance. Biosyst Eng 147:130–138

    Article  Google Scholar 

  • Li J, Xu Y, Zhu W, Wei X, Sun H (2019) Maturity assessment of tomato fruit based on electrical impedance spectroscopy. Int J Agric Biol Eng 12(4):154–161

    Google Scholar 

  • Li M, Li J, Mao H, Wu Y (2016b) Diagnosis and detection of phosphorus nutrition level for Solanum lycopersicum based on electrical impedance spectroscopy. Biosyst Eng 143:108–118

    Article  Google Scholar 

  • Li M, Li J, Wei X, Zhu W (2017) Early diagnosis and monitoring of nitrogen nutrition stress in tomato leaves using electrical impedance spectroscopy. Int J Agric Biol Eng 10(3):194–205

    Google Scholar 

  • Mizukami Y, Sawai Y, Yamaguchi Y (2006) Moisture content measurement of tea leaves by electrical impedance and capacitance. Biosyst Eng 93(3):293–299

    Article  Google Scholar 

  • Ochandio Fernandez A, Olguin Pinatti CA, Masot Peris R, Laguarda-Miro N (2019) Freeze-damage detection in lemons using electrochemical impedance spectroscopy. Sensors (basel) 19(18):4051

    Article  PubMed  Google Scholar 

  • Repo T, Oksanen E, Vapaavuori E (2004) Effects of elevated concentrations of ozone and carbon dioxide on the electrical impedance of leaves of silver birch (Betula pendula) clones. Tree Physiol 24(7):833–843

    Article  CAS  PubMed  Google Scholar 

  • Sharma A, Bansod BK, Thakur R (2017) Development of moisture prediction model for tea using electrical impedance spectroscopy. Int J Adv Eng Res Sci 4(2):38–43

    Article  Google Scholar 

  • Sun H, Liu N, Wu L, Chen L, Yang L, Li M, Zhang Q (2018) Water content detection of potato leaves based on hyperspectral image. IFAC PapersOnLine 51(17):443–448

    Article  Google Scholar 

  • Sun H, Liu N, Wu L, Zheng T, Wu J (2019) Visualization of water content distribution in potato leaves based on hyperspectral image. Spectrosc Spectral Anal 39(3):910–916

    CAS  Google Scholar 

  • Sun J, Tian Y, Wu X, Dai C, Lu B (2020) Nondestructive detection for moisture content in green tea based on dielectric properties and VISSA-GWO-SVR algorithm. J Food Process Preserv 44(5):14421

    Article  Google Scholar 

  • Vargas R, Vecchietti A (2016) Influence of raw material moisture on the synthesis of black tea production process. J Food Eng 173:76–84

    Article  CAS  Google Scholar 

  • Wang A, Di B, Repo T, Roitto M, Zhang G (2020) Responses of parameters for electrical impedance spectroscopy and pressure–volume curves to drought stress in Pinus bungeana seedlings. Forests 11(3):359

    Article  Google Scholar 

  • Watanabe T, Nakamura N, Ota N, Tomita S, Ando Y, Orikasa T, Nagata M (2019) An electrical discrimination method for rot in fresh cut apples using Cole-Cole plots. J Food Meas Charact 13(3):2130–2135

    Article  Google Scholar 

  • Zhang G, Xiao J, Chen D (2005) Electrical impedance spectroscopy method for determination of plant cold resistance. Chin J Plant Physiol Mol Biol 31(1):19–26

    Google Scholar 

  • Zhang M, Repo T, Willison J, Sutinen S (1995) Electrical impedance analysis in plant tissues: on the biological meaning of Cole-Cole α in scots pine needles. Eur Biophys J 24:99–106

    Article  Google Scholar 

  • Zhang Q, Li Q, Zhang G (2012) Rapid determination of leaf water content using VIS/NIR spectroscopy analysis with wavelength selection. Spectroscopy 27(2):93–105

    Article  Google Scholar 

  • Zheng J (2019) Study on general models for non-destructive inspection of leaf moisture content of 10 plants. Acta Agric Zhejiangensis 31(10):1717–1723

    Google Scholar 

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Acknowledgements

This study was conducted in the College of Mechanical and Electronic Engineering, Northwest A&F University, and supported by research grants from the National Natural Science Foundation of China (Grant No. 31972209), the Key Research and Development Programs in Shaanxi Province, China (Grant Nos. 2021NY-059, 2021NY-162) and the Young Talent Fund of University Association for Science and Technology in Shaanxi, China (Grant No. 20220409).

Funding

Funding was provided by National Natural Science Foundation of China (No. 31972209, 32101620), Key Research and Development Projects of Shaanxi Province (No. 2021NY-059, 2021NY-162), and Young Talent Fund of University Association for Science and Technology in Shaanxi (No. 20220409).

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Authors and Affiliations

  1. College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, 712100, Shaanxi, China

    Qianxi Li, Lin Tang, Zhi Xue, Yong Feng & Hai Tan

  2. Filtang Technologies Corporation, Yantai, 264006, Shandong, China

    Yong Feng

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  1. Qianxi Li
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Correspondence to Hai Tan.

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Li, Q., Tang, L., Xue, Z. et al. Non-destructive estimation of leaf moisture content of Epipremnum aureum based on electrical impedance spectroscopy. Theor. Exp. Plant Physiol. (2024). https://doi.org/10.1007/s40626-024-00314-7

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