[1] Li D, Gao Y H, Li Z H et al. Similarity experiment on temperature characteristics of e-cigarette and establishment of scaled-model experimental platform[J]. Acta Tabacaria Sinica, 26, 10-17(2020).

[2] Hong Q Y, Zheng L, Liu Y L et al. Technological analysis of patents related to e-cigarettes in China[J]. Tobacco Science & Technology, 52, 74-85(2019).

[3] Yang Y, Xu J, Liu J L et al. Stability and release behavior of nicotine in e-liquids[J]. Acta Tabacaria Sinica, 23, 16-21, 30(2017).

[4] Wan J C, Li J Z, Guo W et al. Determination of nicotine in electronic tobacco oil by ultra-high performance convergent chromatography[J]. Physical Testing and Chemical Analysis (Part B: Chemical Analysis), 55, 705-709(2019).

[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] Chu X L, Shi Y Y, Chen P et al. Research and application progresses of near infrared spectroscopy analytical technique in China in past five years[J]. Journal of Instrumental Analysis, 38, 603-611(2019).

[7] Wang J J, Yang J H, Shao X G. Networking of near infrared spectroscopy for tobacco and its application perspective[J]. Journal of Instrumental Analysis, 39, 1218-1224, 1230(2020).

[8] Yang S Y, Zhou J, Shen Y W et al. Rapid determination of nicotine content of e-cigarette liquid based on near-infrared spectroscopy technology[J]. Journal of Instrumental Analysis, 39, 1411-1415(2020).

[9] Chu X L, Liu H Y, Yan Z H[M]. Technical manual of near infrared spectroscopy(2016).

[10] Wu S, Tu B, Chen Z et al. Qualitative and quantitative analysis of olive oil adulteration by laser near infrared spectroscopy based on Monte Carlo cross validation[J]. Food Science and Technology, 41, 277-282(2016).

[11] Li S F, Shan Y, Fan W et al. Analysis of pH and acidity of honey by near infrared spectroscopy based on MCCV outlier detection and CARS variable selection[J]. Food Science, 32, 182-185(2011).

[12] Jiang W W, Lu C H, Zhang Y J et al. Research on maize component measurement of wavelength selection based on SiPLS and SPA[J]. Journal of Electronic Measurement and Instrumentation, 31, 1960-1966(2017).

[13] Kong Q M, Su Z B, Shen W Z et al. Research of straw biomass based on NIR by wavelength selection of IPLS-SPA[J]. Spectroscopy and Spectral Analysis, 35, 1233-1238(2015).

[14] Nørgaard L, Saudland A, Wagner J et al. Interval partial least-squares regression (iPLS): a comparative chemometric study with an example from near-infrared spectroscopy[J]. Applied Spectroscopy, 54, 413-419(2000).

[15] Guo H X, Zhu S Q, Li Y P et al. Visible-near infrared spectroscopy modeling on the contents of serum bilirubin based on iPLS and SiPLS[J]. Journal of Optoelectronics·Laser, 27, 1136-1144(2016).

[16] Li W H, Xu L, Yang Y et al. Near-infrared spectroscopy analysis of the intracellular glycogen content during the enhanced biological phosphorus removal process based on siPLS[J]. Infrared Technology, 38, 1053-1060(2016).

[17] Kong Q M, Gu J T, Gao R et al. Study on detection of crude protein in ammonified and alkalized corn straw by spectrum characteristic band selection method based on synergy interval partial least squares[J]. Journal of Instrumental Analysis, 39, 1334-1343(2020).

[18] Hao Y, Wu W H, Shang Q Y et al. Analysis model of oleic and linoleic acids in camellia oil via near-infrared spectroscopy[J]. Acta Optica Sinica, 39, 0930004(2019).

[19] Ran S, Ding J L, Ge X Y et al. Estimation method of VIS-NIR spectroscopy for soil organic matter based on sparse networks[J]. Laser & Optoelectronics Progress, 57, 242803(2020).