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基于低场核磁共振的烤烟烟叶石油醚提取物含量检测方法

付光明 韦凤杰 常剑波 贾保顺 李致新 来苗 杨晓朋 姬小明

轻工学报2024,Vol.39Issue(4):80-88,9.
轻工学报2024,Vol.39Issue(4):80-88,9.DOI:10.12187/2024.04.011

基于低场核磁共振的烤烟烟叶石油醚提取物含量检测方法

Determination of petroleum ether extracts in flue-cured tobacco leaves by low-field nuclear magnetic resonance

付光明 1韦凤杰 2常剑波 3贾保顺 3李致新 3来苗 1杨晓朋 1姬小明1

作者信息

  • 1. 河南农业大学 烟草学院,河南 郑州 450046
  • 2. 河南省烟草公司,河南 郑州 450018
  • 3. 河南省烟草公司三门峡市公司,河南 三门峡 472000
  • 折叠

摘要

Abstract

In response to the problems of slow detection speed,cumbersome operation,and solvent pollution in the detection of petroleum ether extract in tobacco leaves using the current traditional Soxhlet extraction method,low field nuclear magnetic resonance technology was used to detect the petroleum ether extract content in tobacco leaves.The detection parameters such as drying time,sample quality,echo time,and number of repeated scans were optimized to verify the repeatability and accuracy of the method,and the detection results were compared with the traditional Soxhlet extraction method.The results showed that 3.0 g of tobacco leaf powder passing through a 40 mesh sieve was dried at 80℃for 4 hours.Under the conditions of echo time of 0.25 ms and 8 repeated scans,the petroleum ether extract detection results were good.The standard curve R2 reached 0.999 81,and the relative standard deviation of repeatability was 1.45%to 2.99%.The intra day and inter day precision were 2.61%and 1.10%,respectively.The correlation coefficient between the detection results of this method and the Soxhlet extraction method reaches 0.998 55,with an absolute error within 0.02%~0.35%and a relative error within 0.26%~3.69%.Compared with the traditional Soxhlet extraction method,this method is simple,fast,accurate,and solvent free,making it suitable for the accurate quantification of petroleum ether extracts from large quantities of flue-cered tobacco leaves.

关键词

低场核磁共振/石油醚提取物/烟叶粉末/重复性/精密度

Key words

low-field nuclear magnetic resonance/petroleum ether extract/tobacco leaf powder/repeatability/preci-sion

分类

轻工纺织

引用本文复制引用

付光明,韦凤杰,常剑波,贾保顺,李致新,来苗,杨晓朋,姬小明..基于低场核磁共振的烤烟烟叶石油醚提取物含量检测方法[J].轻工学报,2024,39(4):80-88,9.

基金项目

河南省自然科学基金资助项目(232300421257) (232300421257)

河南省烟草公司三门峡市公司项目(2022411200200004x) (2022411200200004x)

轻工学报

OA北大核心

2095-476X

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