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Prediction of Tar,Nicotine and CO Release Amount in Mainstream Smoke of Cigarette by Near Infrared Spectroscopy

FU Qiu-jua

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Abstract

In order to realize rapid detection of tar and nicotine in the cigarette,the near infrared(NIR)detection model for tar and nicotine in raw tobacco was established by 111 samples of cut tobacco and 204 samples of tobacco powder.The research showed that such NIR rapid detection model for two kinds of tobacco samples could be established,and the nicotine calibration model was better.The calibration model established through tobacco powder was better than which established through cut tobacco.The root mean square error of cross-validation(RMSECV) of the former was 0.211 and 1.90,and the RMSECV of the latter was 0.257 and 2.04.To verify the model established through tobacco powder,the mean relative deviation between the calculated value and the actual value for nicotine and tar was 5.13 and 5.93 respectively.The t-test showed good systematic precision,and there was no significant difference between the calculated value and the actual value,so the NIR model could be applied to rapid detection of mass sample.

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What this paper is about

In order to realize rapid detection of tar and nicotine in the cigarette,the near infrared(NIR)detection model for tar and nicotine in raw tobacco was established by 111 samples of cut tobacco and 204 samples of tobacco powder.The research showed that such NIR rapid detection model for two kinds of tobacco samples could be established,and the nicotine calibration model was better.The calibration model established through tobacco powder was better than which established through cut tobacco.The root mean square error of cross-validation(RMSECV) of the former was 0.211 and 1.90,and the RMSECV of the latter was 0.257 and 2.04.To verify the model established through tobacco powder,the mean relative deviation between the calculated value and the actual value for nicotine and tar was 5.13 and 5.93 respectively.The t-test showed good systematic precision,and there was no significant difference between the calculated value and the actual value,so the NIR model could be applied to rapid detection of mass sample.

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Available abstract

In order to realize rapid detection of tar and nicotine in the cigarette,the near infrared(NIR)detection model for tar and nicotine in raw tobacco was established by 111 samples of cut tobacco and 204 samples of tobacco powder.The research showed that such NIR rapid detection model for two kinds of tobacco samples could be established,and the nicotine calibration model was better.The calibration model established through tobacco powder was better than which established through cut tobacco.The root mean square error of cross-validation(RMSECV) of the former was 0.211 and 1.90,and the RMSECV of the latter was 0.257 and 2.04.To verify the model established through tobacco powder,the mean relative deviation between the calculated value and the actual value for nicotine and tar was 5.13 and 5.93 respectively.The t-test showed good systematic precision,and there was no significant difference between the calculated value and the actual value,so the NIR model could be applied to rapid detection of mass sample.

Key concepts: tar (computing), Nicotine, Near-infrared spectroscopy, Calibration, Sidestream smoke, Smoke, Materials science, Chromatography

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Prediction of Tar,Nicotine and CO Release Amount in Mainstream Smoke of Cigarette by Near Infrared Spectroscopy — Research Paper | ScholarLens