NMT是基因功能的活體檢測技術，已被103位諾貝爾獎得主所在單位，及北大、清華、中科院使用。
NMT歷史上的今天
2014年02月19日，北京林業大學汪曉峰、李加國用NMT在Planta 上發表了標題為The fluxes of H2O2 and O2 can be used to evaluate seed germination and vigor of Caragana korshinskii的研究成果。
期刊：Planta
主題：H2O2和O2的通量可以評估種子的萌發和活力
標題：The fluxes of H2O2 and O2 can be used to evaluate seed germination and vigor of Caragana korshinskii
影響因子：3.347
檢測指標：H2O2、O2流速
作者：北京林業大學汪曉峰、李加國
英文摘要
Seed deterioration is detrimental to plant germplasm conservation, and predicting seed germination and vigor with reliability and sensitivity means is urgently needed for practical problems.
We investigated the link between hydrogen peroxide (H2O2) flux, oxygen influx and seed vigor of Caragana korshinskii by the non-invasive micro-test technique (NMT). Some related physiological and biochemical changes in seeds were also determined to further explain the changes in the molecular fluxes.
The results showed that there was a good linear relationship between germination and H2O2 flux, and that O2 influx was more suitable for assessing seed vigor. H2O2 flux changed relatively little initially, mainly affected by antioxidants (APX, CAT and GSH) and H2O2 content; afterward, the efflux increased more and more rapidly due to high membrane permeability. With the damage of mitochondrial respiration and membrane integrity, O2 influx was gradually reduced.
We propose that monitoring H2O2 and O2 fluxes by NMT may be a reliable and sensitive method to evaluate seed germination and vigor.
中文摘要（谷歌機翻）
種子變質對植物種質的保存有害，因此迫切需要通過可靠性和敏感性手段預測種子的發芽和活力。
我們通過非損傷微測試技術（NMT）研究了過氧化氫（H2O2）通量，氧氣流入和檸條錦雞兒種子活力之間的聯系。還確定了種子中一些相關的生理和生化變化，以進一步解釋分子通量的變化。
結果表明，發芽率與H2O2通量之間存在良好的線性關系，而O2流入更適合評估種子活力。H2O2通量最初變化相對較小，主要受抗氧化劑（APX，CAT和GSH）和H2O2含量的影響；之后，由于高的膜滲透性，流出量越來越快地增加。隨著線粒體呼吸和膜完整性的損害，O2流入量逐漸減少。
我們建議通過NMT監測H2O2和O2通量可能是評估種子發芽和活力的可靠且敏感的方法。
Fig. 3 Effect of arti?cial aging on ?uxes of oxygen and H2O2. The colored lines represent the ?uxes of oxygen and H2O2 over time for one seed (a, b, d, e), and each column gives the mean ± SD from ten different seeds (n = 10) (c, f). Statistical analysis was done using Duncan’s multiple range test. Treatments with different letters are signi?cantly different at the p < 0.05 level
文章鏈接：
https://link.springer.com/article/10.1007%2Fs00425-014-2049-7