The feasibility of rapid determination of the cadmium content in rice based on near infrared spectroscopy and synergy interval partial least squares
Near infrared spectroscopy (NIRS) combined with synergy interval partial least squares (siPLS) were used to establish the rapid method for the determination of cadmium content in rice. The NIR spectra of 72 rice samples were collected and analyzed. After optimization, an approach (SG smoothing combined with MSC and mean-centering) was adopted as a pre-treatment method for raw spectrum. SiPLS method was used as extraction methods of characteristic variables, and the NIRS quantitative model was built and predicted. The RMSECV and RMSEP of the siPLS model were 0.247 and 0.261, respectively. The Rc and Rp were 0.919 and 0.895, respectively. The results showed that siPLS algorithm not only could decrease the complexity of the model, but also improved the predictive precision. NIRS can be useful as a rapid, non-destructive and convenient analytical method for primary screening and detecting cadmium-polluted rice.
Xiangrong, ZHU; Gaoyang, LI; Donglin, SU; Wei, LIU; and Yang, SHAN
"The feasibility of rapid determination of the cadmium content in rice based on near infrared spectroscopy and synergy interval partial least squares,"
Food and Machinery: Vol. 31:
4, Article 11.
Available at: https://www.ifoodmm.cn/journal/vol31/iss4/11
 Chaney R L, Reeves P G, Ryan J A, et al. Improved understanding of hyperaccumulation yields commercial phytoextraction and phytomining technologies[J]. Biometals, 2004, 17(5): 549~553.
 Lindén A, Olsson I M, Bensryd I, et al. Monitoring of cadmium in the chain from soil via crops and feed to pig blood and kidney[J]. Ecotoxicology and Environmental Safety, 2003, 55(2): 213~222.
 Chen Gui-ping, Mei Yuan, Tao Wei, et al. Micro near infrared spectroscopy (MicroNIRS) based on on-line enrichment: determination of trace copper in water using glycidyl methacrylate-based monolithic material[J]. Analytica Chimica Acta, 2011, 670(1~2): 39~43.
 Akamatsu S, Yoshioka N, Mitsuhashi T. Sensitive determination of cadmium in brown rice and spinach by flame atomic absorption spectrometry with solid-phase extraction[J]. Food Additives & Contaminants: Part A, 2012, 29(11): 1 696~1 700.
 Kumagai M, Ohisa N, Amano T, et al. Canonical discriminant analysis of cadmium content levels in unpolished rice using a portable near-infrared spectrometer[J]. Analytical Science, 2003, 19(11): 1 553~1 555.
 González-Martín I, González-Pérez C, Hernández-Méndez J, et al. Mineral analysis (Fe,Zn,Ca,Na,K) of fresh Iberian pork loin by near infrared reflectance spectrometry: Determination of Fe,Na and K with a remote fibre-optic reflectance probe[J]. Analytica Chimica Acta, 2002, 468(2): 293~301.
 Font R, Del Río-Celestino M, Vélez D, et al. Visible and near-infrared spectroscopy as a technique for screening the inorganic arsenic content in the red crayfish (procambarus clarkii Girard)[J]. Analytical Chemstry,2004,76(14): 3 893~3 898.
 Font R, Del Río-Celestino M, Vélez D, et al. Use of near-infrared spectroscopy for determining the total arsenic content in prostrate amaranth[J]. Science of the Total Environment,2004,327(1~3): 93~104.
 Font R, Vélez D, Del Río-Celestino M, et al. Screening inorganic arsenic in rice by visible and near-infrared spectroscopy[J]. Microchimica Acta,2005,151(3~4): 231~239.
 张龙, 潘家荣, 朱诚. 基于近红外光谱的重金属汞、镉和铅污染水稻叶片鉴别[J]. 浙江大学学报(农业与生命科学版), 2013, 39(1): 50~55.
 刘燕德, 施宇. 香根草叶片铅含量近红外光谱快速检测[J]. 农业机械学报, 2014, 45(3): 232~236.
 Ning Yu, Li Ji-hui, Cai Wen-sheng, et al. Simultaneous determination of heavy metal ions in water using near-infrared spectroscopy with preconcentration by nano-hydroxyapatite[J]. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2012(96): 289~294.
 Huang Zi-xia, Tao Wei, Fang Juan-juan, et al. Multivariate calibration of on-line enrichment near-infrared (NIR) spectra and determination of trace lead in water[J]. Chemometrics and Intelligent Laboratory Systems, 2009, 98(2): 195~200.
 Kumagai M, Ohisa N, Amano T, et al. Canonical discriminant analysis of cadmium content levels in unpolished rice using a portable near-infrared spectrometer[J]. Analytical Sciences, 2003, 19(11): 1 553~1 555.
 Norgaard 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, 2000, 54(3): 413~419.
 丁姣， 蔡建荣， 张海东， 等. 近红外结合Si-ELM检测食醋品质指标[J]. 食品与机械， 2012, 28(1): 93~96.
 Kennard R W, Stone L A. Computer aided design of experiments[J]. Technometrics, 1969(11): 137~148.
 陆婉珍. 现代近红外光谱分析技术[M]. 第二版. 北京: 中国石化出版社,2006.
 张菊华, 朱向荣, 苏东林, 等. 茶油品质鉴别的透射和透反射模式分析比较[J]. 食品与机械, 2012, 28(1): 101~104.