摘要

如何快速、无损地检测种子活力是目前种子研究领域的热点和难点。基于种子呼吸与种子活力的关系搭建了基于可调谐半导体激光吸收高光谱(TDLAS)技术的种子活力快速无损检测系统,该系统主要由分布反馈式激光器及其控制电路、光电转换及放大电路、数据采集电路、上位机软件以及基于多次反射池结构的种子呼吸CO₂浓度检测池构成。检测池的容积为1.5 L,光程为16 m,激光光源波段为2004 nm。基于朗伯比尔定律,采用波长调制吸收光谱技术利用二次谐波反演出种子呼吸过程中产生的CO₂浓度。根据种子呼吸CO₂浓度的大小确定种子活力的强弱,并将其与发芽出苗实验获得的活力指数进行对比。实验结果表明:CO₂呼吸强度的变化量与种子活力等级指数的相关性在0.9以上,即基于TDLAS技术的种子活力快速无损检测系统能够精准、无损、高效地反映种子活力的强弱。这一研究为采用TDLAS技术进行种子活力无损检测分级提供了有益探索。

Abstract

Quick and nondestructive detection of seed vigor is a popular and difficult task in the seed research field. Based on the relationship between seed respiration and seed vigor, we proposed a rapid non-destructive testing system for seed vigor based on TDLAS technique. The proposed system comprises a distributed feedback laser and its control circuit, a photoelectric conversion and amplification circuit, a data acquisition circuit, an upper computer software, and a seed breathing carbon dioxide (CO2) concentration detection pool based on a multi-reflection pool structure. The detection pool has a volume of 1.5 L, a light path of 16 m, and a laser source band of 2004 nm. Based on Lambert Beer''s law, we use wavelength modulated absorption spectroscopy and second harmonic generation to invert the CO2 concentration generated during seed respiration. Seed vigor is determined according to the concentration of CO2 in seed respiration, and the vigor index obtained from the germination and seedling emergence experiment is compared and validated. The experimental results show that the correlation between the change of CO2 respiratory intensity and seed vigor grade index is greater than 0.9, i.e., the rapid non-destructive testing system for seed vigor based on TDLAS technique can accurately, nondestructively, and efficiently reflect the seed vigor grade. This study provides useful exploration in non-destructive testing and grading of seed vigor using TDLAS technique.

补充资料

DOI：10.3788/CJL201946.0911002

所属栏目：光谱学

基金项目：国家自然科学基金、浙江省重点研发项目、湖州市自然科学基金;

收稿日期：2019-04-12

修改稿日期：2019-05-13

网络出版日期：2019-09-01

作者单位    点击查看

联系人作者：阚瑞峰(rfkan@ciomp.ac.cn)

备注：国家自然科学基金、浙江省重点研发项目、湖州市自然科学基金;

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