Determination of basic nitrogen content in diesel oil: A miniaturized method by digital image-based colorimetry in a portable device

IF 1.1 Q4 CHEMISTRY, ANALYTICAL Brazilian Journal of Analytical Chemistry Pub Date : 2023-09-18 DOI:10.30744/brjac.2179-3425.ar-47-2023
Gabrielle Iop, Alice Holkem, Andres de Souza, Edson Muller, Juliano Barin, Paola Mello
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引用次数: 0

Abstract

A miniaturized method using a portable device with digital image acquisition and PhotoMetrix PRO app data treatment was developed for the determination of basic nitrogen content in diesel oil. The method was based on the colorimetric titration described in the UOP 269-10 standard protocol. A homemade 3D-printed chamber with controlled light intensity equipped with an USB camera was used for image acquisition after an acid-base titration reaction, carried out in a miniaturized device. After mixing reagents and diesel oil, the images were obtained and converted into RGB (red, green, and blue) histograms, and a partial least squares (PLS) multivariate calibration model was constructed. Parameters of the regression model were evaluated, by the coefficient of determination (R2), the root mean squared error of calibration (RMSEC), the root mean squared error of cross-validation (RMSECV), and the root mean squared error of prediction (RMSEP). Some conditions for the acid-base titration were optimized, such as the concentration of the indicator (68.0 to 272 µmol L-1) and the titrating (HClO4, 0.179 to 1.79 mmol L-1), as well as the volume of diesel oil. With 60 µL of 2.54 mmol L-1 indicator solution, 20 µL of 20 mmol L-1 HClO4 as titrating and using 50 to 1000 µL of diesel oil, optimal conditions were obtained for calibration (RMSEP of 0.377 mg kg-1, RMSECV of 0.307 mg kg-1 with 4 factors). It is important to mention that no differences were observed (p < 0.05) when comparing reference values with the results by the proposed protocol. This proved to be advantageous in relation to the methods described in the UOP 269-10 standard since it was possible to reduce the consumption of reagents and waste generation, in agreement with green analytical chemistry. In addition, this alternative protocol combines simplicity and speed to obtain results with good accuracy, precision and suitable limit of quantification (1 mg kg-1) using a miniaturized system.
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柴油中碱性氮含量的测定:便携式数字图像比色法的小型化方法
采用便携式数字图像采集装置和PhotoMetrix PRO应用程序进行数据处理,建立了一种小型的测定柴油中碱性氮含量的方法。该方法基于UOP 269-10标准方案中描述的比色滴定法。在一个小型装置中进行酸碱滴定反应后,使用自制的3d打印的可控光强的腔室,并配备USB相机进行图像采集。将试剂与柴油混合后,获得图像,并将其转换为RGB(红、绿、蓝)直方图,构建偏最小二乘(PLS)多元校正模型。采用决定系数(R2)、校正均方根误差(RMSEC)、交叉验证均方根误差(RMSECV)和预测均方根误差(RMSEP)对回归模型的参数进行评价。优化了指示剂浓度(68.0 ~ 272µmol L-1)、滴定量(HClO4 0.179 ~ 1.79 mmol L-1)、柴油体积等酸碱滴定条件。以60µL 2.54 mmol L-1的指示剂溶液、20µL 20 mmol L-1的HClO4作为滴定剂,以50 ~ 1000µL柴油为原料,得到4因素条件下的最佳校准条件(RMSEP为0.377 mg kg-1, RMSECV为0.307 mg kg-1)。重要的是,没有观察到差异(p <0.05),将参考值与拟定方案的结果进行比较。与UOP 269-10标准中描述的方法相比,这被证明是有利的,因为它有可能减少试剂的消耗和废物的产生,与绿色分析化学一致。此外,该替代方案结合了简单性和速度,可以使用小型化系统获得具有良好准确度、精密度和适当定量限(1 mg kg-1)的结果。
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来源期刊
CiteScore
1.60
自引率
14.30%
发文量
46
期刊介绍: BrJAC is dedicated to the diffusion of significant and original knowledge in all branches of Analytical Chemistry, and is addressed to professionals involved in science, technology and innovation projects at universities, research centers and in industry.
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