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Rapid detection of cAMP content in red jujube using near-infrared spectroscopy 被引量:5

Rapid detection of cAMP content in red jujube using near-infrared spectroscopy
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摘要 In this paper, a new method for the rapid, economical and convenient detection of cyclic adenosine monophosphate(cAMP) in jujube is proposed and verified. Based on near-infrared(NIR) fiber spectroscopy combined with stoichiometric analysis, the cAMP content in red jujube can be quickly detected. 68 red jujube samples were used for the NIR spectroscopy data acquisition and the corresponding chemical values were determined. The sample set was adjusted based on the joint XY distance(SPXY) to select the correction sample set. After different preprocessing on the spectra, the partial least squares(PLS) method was used to establish the model, and the smoothed and normalized PLS model result was obtained better. The model's correction correlation coefficient(Rc), correction set mean square error(RMSEC), prediction correlation coefficient(Rp), and prediction and mean square error(RMSEP) are 0.951 5, 25.793 7, 0.910 8 and 28.228 0, respectively. The results show that NIR combined with specific chemometric methods can achieve rapid detection of cAMP in red jujube. In this paper, a new method for the rapid, economical and convenient detection of cyclic adenosine monophosphate (cAMP) in jujube is proposed and verified. Based on near-infrared (NIR) fiber spectroscopy combined with stoichi- ometric analysis, the cAMP content in red jujube can be quickly detected. 68 red jujube samples were used for the NIR spectroscopy data acquisition and the corresponding chemical values were determined. The sample set was adjusted based on the joint XY distance (SPXY) to select the correction sample set. After different preprocessing on the spectra, the partial least squares (PLS) method was used to establish the model, and the smoothed and normalized PLS model result was obtained better. The model's correction correlation coefficient (Re), correction set mean square error (RMSEC), prediction correlation coefficient (Rp), and prediction and mean square error (RMsEe) are 0.95l5, 25.793 7, 0.910 8 and 28.228 0, respectively. The results show that NIR combined with specific chemometric methods can achieve rapid de- tection of cAMP in red iuiube.
作者 闫文丽 任水英 岳霞霞 唐军 陈晨 吕小毅 莫家庆 YAN Wen-li;REN Shui-ying;YUE Xia-xia;TANG Jun;CHEN Chen;LU Xiao-yi;MO Jia-qing(School of lnformation Science and Engineering,Xinjiang University,Urumqi 830046,China;Xinfiang Research Institute of Product Quality Supervision and Inspection,Urumqi 830046,China;Physics and Chemistry Detecting Center,Xinjiang University,Urumqi 830046,China;Institute of Health and Environmental Medicine,Academy of Military Medical Science,Tianjin 300050,China)
出处 《Optoelectronics Letters》 EI 2018年第5期380-383,共4页 光电子快报(英文版)
基金 supported by the Science and Technology Project on aid to Xinjiang Uygur Autonomous Region(No.2018E02058)
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