Application of ATR-Fourier transform infrared spectroscopy in fast and simultaneous determination of leaf chemical and functional properties of forest herb species

IF 6.1 1区 化学 Q1 CHEMISTRY, ANALYTICAL Talanta Pub Date : 2025-07-01 Epub Date: 2025-02-13 DOI:10.1016/j.talanta.2025.127738
Tomasz Durak , Beata Ciak , Roma Durak , Joanna Depciuch
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Abstract

ATR-Fourier transform infrared spectroscopy was used to determine the carbon and nitrogen content in the leaves of herbaceous forest plant species and functional traits associated with the leaf economic spectrum (one of the two-dimensional global spectrum of plant form and function), and monitoring plant physiological status under elevated temperature conditions. The content of carbon and nitrogen determined by traditional methods validated the accuracy of ATR-FTIR method. It was also shown that in the case of forest herbs, the ATR-FTIR method is an efficient tool for determining functional traits (such as specific leaf area (SLA) and leaf dry matter content (LDMC)) related to the leaf economics spectrum, and to diagnose the photophysiological state of plants after changes of temperature (changes of day/night temperature from 21/13 °C to 25/17 °C). Measuring the areas of three absorption bands of the ATR-FTIR spectra related to amides I and II (between 1700 cm−1 and 1500 cm−1), carbohydrates (cellulose and hemicellulose; between 1200 cm−1 - 850 cm−1) and amide III (between 1290 cm−1 and 1190 cm-1) allowed for determination of all analysed chemical and functional properties of leaves. Based on selected absorption bands accurately estimated C and N content, with coefficients of correlation (r) of 0.88 for C and 0.84 for N. SLA and LDMC were also predicted, with r values of 0.88 and −0.91, respectively. Moreover, ATR-FTIR proved to be a rapid, non-destructive tool for monitoring the plant physiological status, as demonstrated by the significant correlation (r = 0.99) between the chlorophyll fluorescence performance index (PI) and ATR-FTIR data. ATR-FTIR has been demonstrated as an efficient tool for simultaneous quantification of leaf carbon and nitrogen content, economic functional traits, and physiological status of forest herb plants.

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atr -傅里叶变换红外光谱在森林草本植物叶片化学和功能特性快速同时测定中的应用
利用atr -傅里叶变换红外光谱技术测定草本森林植物物种叶片碳氮含量及其与叶片经济光谱(植物形态和功能的二维全球光谱之一)相关的功能性状,并监测植物在高温条件下的生理状态。传统方法测定的碳、氮含量验证了ATR-FTIR方法的准确性。结果还表明,对于森林草本植物,ATR-FTIR方法是测定与叶片经济谱相关的功能性状(如比叶面积(SLA)和叶片干物质含量(LDMC))以及诊断温度变化(昼夜温度从21/13°C变化到25/17°C)后植物光生理状态的有效工具。测量了ATR-FTIR光谱中与酰胺I和酰胺II (1700 cm−1和1500 cm−1之间)、碳水化合物(纤维素和半纤维素;在1200 cm-1 - 850 cm-1之间)和酰胺III(在1290 cm-1和1190 cm-1之间)允许测定所有分析的叶子的化学和功能特性。根据选取的吸收波段准确估算C和N含量,C和N的相关系数(r)分别为0.88和0.84,预测了土壤的SLA和LDMC, r值分别为0.88和- 0.91。此外,叶绿素荧光性能指数(PI)与ATR-FTIR数据之间存在显著相关(r = 0.99),证明了ATR-FTIR是一种快速、无损的植物生理状态监测工具。ATR-FTIR已被证明是同时量化森林草本植物叶片碳氮含量、经济功能性状和生理状态的有效工具。
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来源期刊
Talanta
Talanta 化学-分析化学
CiteScore
12.30
自引率
4.90%
发文量
861
审稿时长
29 days
期刊介绍: Talanta provides a forum for the publication of original research papers, short communications, and critical reviews in all branches of pure and applied analytical chemistry. Papers are evaluated based on established guidelines, including the fundamental nature of the study, scientific novelty, substantial improvement or advantage over existing technology or methods, and demonstrated analytical applicability. Original research papers on fundamental studies, and on novel sensor and instrumentation developments, are encouraged. Novel or improved applications in areas such as clinical and biological chemistry, environmental analysis, geochemistry, materials science and engineering, and analytical platforms for omics development are welcome. Analytical performance of methods should be determined, including interference and matrix effects, and methods should be validated by comparison with a standard method, or analysis of a certified reference material. Simple spiking recoveries may not be sufficient. The developed method should especially comprise information on selectivity, sensitivity, detection limits, accuracy, and reliability. However, applying official validation or robustness studies to a routine method or technique does not necessarily constitute novelty. Proper statistical treatment of the data should be provided. Relevant literature should be cited, including related publications by the authors, and authors should discuss how their proposed methodology compares with previously reported methods.
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