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用于结合中红外光谱法快速检测硝酸盐的衰减全反射硅晶体

Attenuated Total Reflectance Crystal of Silicon for Rapid Nitrate Sensing Combining Mid-Infrared Spectroscopy.

作者信息

Xu Liping, Ma Fei, Zhou Jianmin, Du Changwen

机构信息

The State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science Chinese Academy of Sciences, Nanjing 211135, China.

College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.

出版信息

ACS Omega. 2024 Nov 19;9(48):47613-47620. doi: 10.1021/acsomega.4c06701. eCollection 2024 Dec 3.

Abstract

Rapid detection of NO -N is critical to address the challenges of food security, environmental degradation, and climate change. Conventional methods for sensing NO -N in water demand pretreatments and chemical reagents, which are time- and cost-consuming. Consequently, Fourier transform infrared attenuated total reflectance (FTIR-ATR) spectroscopy has been well applied for the determination of NO -N. However, the conventional ATR crystals, i.e., zinc selenide (ZnSe) and diamond, showed a weakness in duration or cost since the ZnSe material was relatively soft and diamond was relatively expensive. In this study, comparing with ZnSe-ATR and diamond-ATR, a silicon-based ATR (Si-ATR) accessory was developed and used to explore the applicability and stability for sensing NO -N combining mathematic algorithms. It was found that partial least-squares regression (PLSR) showed a good performance comparing with the algorithms of principal component analysis (PCA) and linear regression (LR), and it was recommended for quantifying NO -N. For ZnSe-ATR, the residual prediction deviation () was more than 1.80, the determination coefficient ( ) was more than 0.7725, and the root-mean-square error () was less than 2.73 mg L. For diamond-ATR, the was more than 1.76, the was more than 0.7309, and the was less than 8.22 mg L. For Si-ATR, the was more than 1.42, the was 0.5198, and the was less than 11.02 mg L. It was confirmed that all three types of ATR could be applied in the quantification of NO -N in water for high nitrate concentrations. However, for the quantification of low nitrate concentrations (0-1 mg L NO -N), ZnSe-ATR and diamond-ATR acquired the same accuracy, while Si-ATR had a lower accuracy. The pretreatment of Si-ATR-based spectra using the deconvolution algorithm could improve the prediction accuracy compared to water deduction for predicting low NO -N. Furthermore, a Si-ATR accessory was developed using Si-ATR, which was reliable for NO -N concentration quantification in water with the advantage of its low cost and long durability. Totally, samples with high nitrate concentrations implied a more reliable prediction for all crystals, and comprehensively, ZnSe-ATR was recommended for sensing low nitrate concentrations; diamond-ATR was recommended for samples with strong acid or base corrosion; and for sensing relatively high nitrate concentrations, such as in natural water bodies, Si-ATR was more economical because of its low cost and relatively long use life.

摘要

快速检测水中的硝态氮对于应对食品安全、环境退化和气候变化等挑战至关重要。传统的水中硝态氮检测方法需要预处理和化学试剂,既耗时又费钱。因此,傅里叶变换红外衰减全反射(FTIR-ATR)光谱法已被广泛应用于硝态氮的测定。然而,传统的ATR晶体,即硒化锌(ZnSe)和金刚石,存在耐久性或成本方面的弱点,因为ZnSe材料相对较软,而金刚石则相对昂贵。在本研究中,与ZnSe-ATR和金刚石-ATR相比,开发了一种基于硅的ATR(Si-ATR)附件,并结合数学算法用于探索其检测硝态氮的适用性和稳定性。研究发现,与主成分分析(PCA)和线性回归(LR)算法相比,偏最小二乘回归(PLSR)表现良好,推荐用于硝态氮的定量分析。对于ZnSe-ATR,残差预测偏差( )大于1.80,决定系数( )大于0.7725,均方根误差( )小于2.73 mg/L。对于金刚石-ATR, 大于1.76, 大于0.7309, 小于8.22 mg/L。对于Si-ATR, 大于1.42, 为0.5198, 小于11.02 mg/L。证实了所有三种类型的ATR均可应用于高硝酸盐浓度水中硝态氮的定量分析。然而,对于低硝酸盐浓度(0 - 1 mg/L硝态氮)的定量分析,ZnSe-ATR和金刚石-ATR具有相同的准确度,而Si-ATR的准确度较低。与扣除水背景相比,使用去卷积算法对基于Si-ATR的光谱进行预处理可以提高对低硝态氮的预测准确度。此外,使用Si-ATR开发了一种Si-ATR附件,它在水中硝态氮浓度定量分析方面可靠,具有成本低和耐久性长的优点。总体而言,高硝酸盐浓度的样品对所有晶体的预测更可靠,综合来看,推荐使用ZnSe-ATR检测低硝酸盐浓度;推荐使用金刚石-ATR检测强酸或强碱腐蚀的样品;对于检测相对较高的硝酸盐浓度,如在天然水体中,由于Si-ATR成本低且使用寿命相对较长,因此更经济。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/642b/11618405/780b986b28bb/ao4c06701_0001.jpg

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