Maturity Identification of Camellia Seeds Based on Mid- and Far-Infrared Data Fusion

Xin Ma; Biao Wang; Chun Li; Qingxiao Ma; Yan Teng; Ling Jiang

doi:10.3788/LOP202259.1930001

[1] Zhuang R L[M]. Chinese camellia(2008).

[2] Wang Y P, Fei X Q, Shi X L et al. Effects of harvest time and treatment methods on nutrient accumulation of oil-tea camellia seed and its oil[J]. China Oils and Fats, 42, 20-23, 46(2017).

[3] Zeng A, Chen Y K, Luo Z H et al. Characteristics and research progress of extraction technology of tea seed oil[J]. Journal of Guangdong Pharmaceutical University, 36, 151-154(2020).

[4] Wu X H, Wang Z F. Establishment and evaluation of models for rapid detection of functional active ingredients in oil-tea camellia seed oil by infrared spectroscopy[J]. China Oils and Fats, 43, 140-143(2018).

[5] Wang Z F, Wu X H, Jiang S Y et al. Rapid determination on relevant indexes of camellia oil by infrared spectroscopy[J]. Journal of the Chinese Cereals and Oils Association, 33, 119-125(2018).

[6] Wen T, Zheng L Z, Gong Z L et al. Rapid identification of geographical origin of camellia oil based on near infrared spectroscopy technology[J]. Transactions of the Chinese Society of Agricultural Engineering, 32, 293-299(2016).

[7] Ma B X, Yu G W, Wang W X et al. Recent advances in spectral analysis techniques for non-destructive detection of internal quality in watermelon and muskmelon: a review[J]. Spectroscopy and Spectral Analysis, 40, 2035-2041(2020).

[8] Li X, Wang D, Bai Y Z et al. Research progress of near infrared spectroscopy in rapid determination on quality of oilseed products in China[J]. Journal of Instrumental Analysis, 39, 1189-1195(2020).

[9] Zhao J, Quan P K, Ma M J et al. Comparative analysis of harvest maturity model for fuji apple based on visible/near spectral nondestructive detection[J]. Transactions of the Chinese Society for Agricultural Machinery, 49, 347-354(2018).

[10] Shao Y Y, Wang Y X, Xuan G T et al. Visual detection of SSC and firmness and maturity prediction for Feicheng peach by using hyperspectral imaging[J]. Transactions of the Chinese Society for Agricultural Machinery, 51, 344-350(2020).

[11] Minas I S, Blanco-Cipollone F, Sterle D. Accurate non-destructive prediction of peach fruit internal quality and physiological maturity with a single scan using near infrared spectroscopy[J]. Food Chemistry, 335, 127626(2021).

[12] Sha Y F, Huang W, Wang L et al. Merging MIR and NIR spectral data for flavor style determination[J]. Spectroscopy and Spectral Analysis, 41, 473-477(2021).

[13] Li Y H, Li Y X, Tan W L et al. Rapid identification and evaluation of lycium ruthenicum Murr. by near-infrared and Fourier transform infrared spectroscopy[J]. Spectroscopy and Spectral Analysis, 40, 3878-3883(2020).

[14] Ballabio D, Robotti E, Grisoni F et al. Chemical profiling and multivariate data fusion methods for the identification of the botanical origin of honey[J]. Food Chemistry, 266, 79-89(2018).

[15] Chen T, Zhang Q, Li Z et al. Experimental and theoretical investigations of tartaric acid isomers by terahertz spectroscopy and density functional theory[J]. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 205, 312-319(2018).

[16] Ren G H, Zong S Q, Zhu Z J et al. Far-infrared terahertz properties of L-cysteine and its hydrochloride monohydrate[J]. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 225, 117476(2020).

[17] Liu J X, Du B, Deng Y Q et al. Terahertz-spectral identification of organic compounds based on differential PCA-SVM method[J]. Chinese Journal of Lasers, 46, 0614039(2019).

[18] Liu Y D, Zhang Y, Xu H et al. Detection of sugar content of pomegranates from different producing areas based on near-infrared spectroscopy[J]. Laser & Optoelectronics Progress, 57, 013002(2020).

[19] Liu Y D, Xu Z, Hu J et al. Research on quality of agricultural products by terahertz spectroscopy[J]. Laser & Optoelectronics Progress, 58, 0100005(2021).

[20] Zhang W T, Li Y W, Zhan P P et al. Recognition of transgenic soybean oil based on terahertz timedomain spectroscopy and PCA-SVM[J]. Infrared and Laser Engineering, 46, 1125004(2017).

[21] Zhang X X, Yang Z H, Cao S S et al. Spectral detection method for chilling damage of sweet potato based on support vector machine[J]. Transactions of the Chinese Society for Agricultural Machinery, 51, 471-477(2020).

[22] Devos O, Ruckebusch C, Durand A et al. Support vector machines (SVM) in near infrared (NIR) spectroscopy: focus on parameters optimization and model interpretation[J]. Chemometrics and Intelligent Laboratory Systems, 96, 27-33(2009).

[23] Liu J J, Li Z, Hu F R et al. A THz spectroscopy nondestructive identification method for transgenic cotton seed based on GA-SVM[J]. Optical and Quantum Electronics, 47, 313-322(2015).

[24] Li R D, Zhang X B, Li K Q et al. Nondestructive and rapid grading of tobacco leaves by use of a hand-held near-infrared spectrometer, based on a particle swarm optimization-extreme learning machine algorithm[J]. Spectroscopy Letters, 53, 685-691(2020).

[25] Wang S T, Zhan S J, Liu S Y et al. Classification and identification of sex hormones by three-dimensional fluorescence spectroscopy combined with ICSO-SVM[J]. Acta Optica Sinica, 41, 1030004(2021).