Institute of Plant Nutrition and Soil Science, Kiel University, Hermann-Rodewald-Str. 2, D-24118, Kiel, Germany.
Rapid Commun Mass Spectrom. 2013 Jan 15;27(1):216-22. doi: 10.1002/rcm.6434.
Nitrous oxide (N(2)O), a highly climate-relevant trace gas, is mainly derived from microbial denitrification and nitrification processes in soils. Apportioning N(2)O to these source processes is a challenging task, but better understanding of the processes is required to improve mitigation strategies. The N(2)O site-specific (15)N signatures from denitrification and nitrification have been shown to be clearly different, making this signature a potential tool for N(2)O source identification. We have applied for the first time quantum cascade laser absorption spectroscopy (QCLAS) for the continuous analysis of the intramolecular (15)N distribution of soil-derived N(2)O and compared this with state-of-the-art isotope ratio mass spectrometry (IRMS).
Soil was amended with nitrate and sucrose and incubated in a laboratory setup. The N(2)O release was quantified by FTIR spectroscopy, while the N(2)O intramolecular (15)N distribution was continuously analyzed by online QCLAS at 1 Hz resolution. The QCLAS results on time-integrating flask samples were compared with those from the IRMS analysis.
The analytical precision (2σ) of QCLAS was around 0.3‰ for the δ(15)N(bulk) and the (15)N site preference (SP) for 1-min average values. Comparing the two techniques on flask samples, excellent agreement (R(2)= 0.99; offset of 1.2‰) was observed for the δ(15)N(bulk) values while for the SP values the correlation was less good (R(2 )= 0.76; offset of 0.9‰), presumably due to the lower precision of the IRMS SP measurements.
These findings validate QCLAS as a viable alternative technique with even higher precision than state-of-the-art IRMS. Thus, laser spectroscopy has the potential to contribute significantly to a better understanding of N turnover in soils, which is crucial for advancing strategies to mitigate emissions of this efficient greenhouse gas.
氧化亚氮(N(2)O)是一种高度相关的痕量气体,主要来源于土壤中微生物的反硝化和硝化过程。将 N(2)O 分配到这些源过程是一项具有挑战性的任务,但需要更好地了解这些过程,以改进缓解策略。已经证明,反硝化和硝化过程中 N(2)O 的特定地点(15)N 特征明显不同,这使得该特征成为 N(2)O 源识别的潜在工具。我们首次应用量子级联激光吸收光谱(QCLAS)连续分析土壤衍生 N(2)O 的分子内(15)N 分布,并将其与最先进的同位素比质谱(IRMS)进行了比较。
向硝酸盐和蔗糖中添加土壤,并在实验室装置中进行培养。通过傅里叶变换红外光谱法(FTIR)定量测定 N(2)O 的释放量,同时通过在线 QCLAS 以 1 Hz 的分辨率连续分析 N(2)O 的分子内(15)N 分布。将 QCLAS 在时间积分瓶样品上的结果与 IRMS 分析的结果进行比较。
QCLAS 的分析精度(2σ)对于 1 分钟平均δ(15)N(bulk)和(15)N 位置偏好(SP)约为 0.3‰。在瓶样品上比较这两种技术时,观察到δ(15)N(bulk)值非常吻合(R(2)=0.99;偏移量为 1.2‰),而 SP 值的相关性较差(R(2)=0.76;偏移量为 0.9‰),这可能是由于 IRMS SP 测量的精度较低所致。
这些发现验证了 QCLAS 作为一种可行的替代技术,其精度甚至高于最先进的 IRMS。因此,激光光谱学有可能为更好地了解土壤中的 N 转化做出重大贡献,这对于推进减少这种高效温室气体排放的策略至关重要。