Closed-vessel conductively heated digestion system with diluted nitric acid for the preparation of biomass and biochar samples.

IF 6.1 1区 化学 Q1 CHEMISTRY, ANALYTICAL
Talanta Pub Date : 2026-01-01 Epub Date: 2025-06-28 DOI:10.1016/j.talanta.2025.128488
Evilim Martinez Oliveira, Edilene Cristina Ferreira, José Anchieta Gomes Neto, Alex Virgilio
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引用次数: 0

Abstract

A method using a closed-vessel conductively heated digestion system (CHDS) was developed for preparing lignocellulosic biomass and biochar samples for elemental analysis by inductively coupled plasma optical emission spectrometry (ICP-OES). The use of 1 mL of H2O2 plus 2 mL of HNO3 3.5 mol L-1 was suitable to produce clear digests for determining Al, C, Cu, Fe, K, Mg, Mn, P, S, and Zn. The performance of the method was evaluated by analyzing certified reference materials and reference materials. Most CHDS results were in agreement with reference values at a 95 % confidence level (t-test). The method was subsequently applied to the analysis of biomass samples as renewable energy sources (leucaena, pine, sorghum, sugarcane, bamboo, eucalyptus, elephant grass) and their respective biochars. The relative standard deviations (n = 3) were in the 1-15 % range, and the concentration of analytes (in mg kg-1) were between 52.3 and 3666 (Al), 5.1-15.7 (Cu), 66.6-2133 (Fe), 2691-35391 (K), 864-3275 (Mg), 29.9-559.1 (Mn), 407-3219 (P), 423-2661 (S) and 10.2-66.9 (Zn). Residual carbon contents in digests (935-1907 mg L-1) were considered acceptable for ICP determinations (<2000 mg L-1 C). The analytical greenness metric for sample preparation (AGREEprep) was used for the assessment of the proposed CHDS procedure, and the final score of 0.53 was higher than the values reported in similar applications in the literature employing CHDS (0.48), microwave-assisted digestion (0.46), and classical wet (0.23) and dry-ashing (0.30) methods. The proposal aligns with Green Analytical Chemistry (GAC) principles, highlighting its environmental and sustainability benefits for biomass and biochar analysis.

用稀释硝酸制备生物质和生物炭样品的密闭容器传导加热消化系统。
建立了一种使用密闭容器传导加热消解系统(CHDS)制备木质纤维素生物质和生物炭样品的方法,用于电感耦合等离子体发射光谱法(ICP-OES)元素分析。用1ml H2O2加2ml 3.5 mol L-1的HNO3可以产生清晰的消化液,用于测定Al、C、Cu、Fe、K、Mg、Mn、P、S和Zn。通过对认证标准物质和标准物质的分析,评价了该方法的性能。大多数CHDS结果在95%的置信水平上与参考值一致(t检验)。随后将该方法应用于作为可再生能源的生物质样品(合欢树、松树、高粱、甘蔗、竹子、桉树、象草)及其各自的生物炭的分析。相对标准偏差(n = 3)在1 ~ 15%范围内,分析物浓度(mg kg-1)在52.3 ~ 3666 (Al)、5.1 ~ 15.7 (Cu)、66.6 ~ 2133 (Fe)、2691 ~ 35391 (K)、864 ~ 3275 (mg)、29.9 ~ 559.1 (Mn)、407 ~ 3219 (P)、423 ~ 2661 (S)和10.2 ~ 66.9 (Zn)之间。消化物中残余碳含量(935-1907 mg L-1)被认为可用于ICP测定(-1 C)。样品制备的分析绿度指标(AGREEprep)用于评估提议的CHDS程序,最终得分为0.53,高于文献中使用CHDS(0.48)、微波辅助消化(0.46)、经典湿法(0.23)和干灰化(0.30)方法的类似应用报告的值。该提案符合绿色分析化学(GAC)原则,突出了其对生物质和生物炭分析的环境和可持续性效益。
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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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