Millet Moisture Content Detection Based on Two-Dimensional Correlation Near Infrared Spectroscopy

Guokang He; Kai Yuan; Zhiyong Zhang; Haiyan Song; Xiaoping Han; Wei Yang

doi:10.3788/LOP202259.0830002

[1] Li S G, Liu F, Liu M et al. Current status and future prospective of foxtail millet production and seed industry in China[J]. Scientia Agricultura Sinica, 54, 459-470(2021).

[2] Feng N H, Li J, Song J et al. Study on storage quality characteristics of millet Jinfen 107[J]. Cereals & Oils, 34, 82-86(2021).

[3] Cai Z Y, Liu Z, Zhang G Y et al. Research progress of grain moisture measurement technology[J]. Journal of Chinese Agricultural Mechanization, 42, 99-109(2021).

[4] Qin Y H, Zhang H T, Gao R et al. Research on products quality stability based on near infrared spectroscopy and feature extraction of PCA radar chart[J]. Chinese Journal of Luminescence, 39, 1627-1632(2018).

[5] Wang S X, Xiao H, Yang Z F et al. Detection of flavor adulterated Pu’er tea by near-infrared spectroscopy[J]. Laser & Optoelectronics Progress, 57, 233005(2020).

[6] Lian Z Y, Yang R J, Dong G M et al. Research progress and application of two-dimensional correlation spectroscopy[J]. Journal of Tianjin Agricultural University, 25, 77-82, 93(2018).

[7] Liu Y C, Li Y Y, Peng Y K et al. Application of two-dimensional correlation spectra in the identification of adulterated rice[J]. Spectroscopy and Spectral Analysis, 40, 1559-1564(2020).

[8] Wang Z, Li C X, Qian R et al. Research on vegetable oils classification based on two-dimensional correlation near-infrared spectroscopy[J]. Spectroscopy and Spectral Analysis, 40, 3230-3234(2020).

[9] Tian Y Y, Wu Y, Peng Y Y et al. Study on the complexation of heavy metals onto biogas slurry DOM using two-dimensional correlation spectroscopy combined with the log-transformed synchronous fluorescence spectroscopy[J]. Environmental Science and Pollution Research, 28, 22878-22885(2021).

[10] Shi Y M, Li D Y, Yi S L et al. Infrared spectroscopy analysis of biochemical changes of corn leaves infected by southern corn leaf blight disease[J]. Laser & Optoelectronics Progress, 56, 083002(2019).

[11] Li H M, Liu G, Ou Q H et al. Analysis of eight bean species by two-dimensional correlation infrared spectroscopy[J]. Laser & Optoelectronics Progress, 53, 033003(2016).

[13] Wang N. Two-dimensional correlation molecular/atomic spectroscopy detection method and software development[D](2020).

[14] NodaIsao. Frontiers of two-dimensional correlation spectroscopy. Part 1. New concepts and noteworthy developments[J]. Journal of Molecular Structure, 1069, 3-22(2014).

[15] Zhang L N, Li G, Sun M X et al. Kennard-Stone combined with least square support vector machine method for noncontact discriminating human blood species[J]. Infrared Physics & Technology, 86, 116-119(2017).

[16] Lin Z D, Wang Y B, Wang R J et al. Improvements of vis-NIRS model in the prediction of soil organic matter content using wavelength optimization[J]. Chinese Journal of Luminescence, 37, 1428-1435(2016).

[17] Yang R J, Yang Y R, Liu H X et al. Progress in application of two-dimensional correlation spectroscopy for detection of food quality[J]. Spectroscopy and Spectral Analysis, 35, 2124-2129(2015).

[18] Sun H X, Zhang S J, Li C J et al. Detection of moisture content on green peel of fresh walnut using two-dimensional correlation spectroscopy[J]. Food Science and Technology, 46, 275-279(2021).

[19] Liu L Y, Chang T Y, Li K et al. Spectral analysis and quantitative detection of baicalin based on terahertz radiation[J]. Chinese Journal of Lasers, 47, 0314001(2020).

[20] Liu J, Liu G, Li S J et al. Infrared spectroscopy identification of artificially aging wheat seeds[J]. Laser & Optoelectronics Progress, 58, 0830002(2021).

[21] Yang R J, Lian Z Y, Dong G M et al. Application and prospect of two-dimensional correlation spectroscopy in environmental science[J]. Spectroscopy and Spectral Analysis, 39, 1672-1676(2019).

[22] Zhang W. Study of specificity for noninvasive glucose measurements based on two-dimensional correlation infrared spectroscopy[D](2012).

[23] Liu Y D, Lin X D, Gao H G et al. Quantitative analysis of chlorophyll content in tea leaves by fluorescence spectroscopy[J]. Laser & Optoelectronics Progress, 58, 0830001(2021).

[24] Salehi M, Zare A, Taheri A. Artificial neural networks (ANNs) and partial least squares (PLS) regression in the quantitative analysis of respirable crystalline silica by Fourier-transform infrared spectroscopy (FTIR)[J]. Annals of Work Exposures and Health, 65, 346-357(2021).