Green Analytical Methods for Environmental and Food Analysis

A special issue of Chemosensors (ISSN 2227-9040). This special issue belongs to the section "Analytical Methods, Instrumentation and Miniaturization".

Deadline for manuscript submissions: 20 April 2025 | Viewed by 1289

Special Issue Editor


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Guest Editor
Departamento de Química Analítica (DQA), Rio de Janeiro State University, Rio de Janeiro, Brazil
Interests: analytical chemistry instrumentation; mass spectrometry; analytical method development; spectrometry; sample preparation; chemical analysis; extraction; liquid chromatography; chromatography; high-performance liquid chromatography

Special Issue Information

Dear Colleagues,

Green analytical chemistry (GAC) emerged from the area of green chemistry. This relatively new field of activity in green chemistry deals with the role of the analytical chemist in making laboratory practices more environmentally friendly and is of great interest to chemists, especially to analytical and environmental chemists.  In addition to the development of instruments and methods necessary to improve the quality of chemical analysis, efforts are being made to reduce the negative impact of chemical analysis on the environment and to enable analytical laboratories to implement the principles of sustainable development. In this context, GAC should be considered a stimulant for  advancement of analytical chemistry. The most important challenge for the future of the discipline is striking a balance between improving the quality of results and improving the environmental friendliness of analytical methods.

In the analytical chemistry field of research, eco-friendliness extends to green sample preparation methods, the reduction of solvents and reagent, the development of instruments and methods for direct solid sample analysis, the use of chemometric and computational modeling in order to simplify the procedure of analysis, among other applications.

This Special Issue aims to collect and present the recent achievements in green analytical chemistry, including all measurement techniques for all types of applications that reduce or eliminate the generation of chemical waste. Researchers are warmly invited to submit reviews and research papers for inclusion in this Special Issue.

Dr. Jefferson Santos De Gois
Guest Editor

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Published Papers (1 paper)

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Research

12 pages, 3336 KiB  
Article
Fast Determination and Source Apportionment of Eight Polycyclic Aromatic Hydrocarbons in PM10 Using the Chemometric-Assisted HPLC-DAD Method
by Ting Hu, Yitao Xia, You Wang, Li Lin, Rong An, Ling Xu and Xiangdong Qing
Chemosensors 2024, 12(10), 220; https://doi.org/10.3390/chemosensors12100220 - 18 Oct 2024
Viewed by 713
Abstract
Polycyclic aromatic hydrocarbons (PAHs) are a group of organic compounds that are both toxic and hazardous to human health and ecological systems. In recent work, a novel analytical strategy based on the chemometric-assisted HPLC-DAD method was proposed for the quantification and source apportionment [...] Read more.
Polycyclic aromatic hydrocarbons (PAHs) are a group of organic compounds that are both toxic and hazardous to human health and ecological systems. In recent work, a novel analytical strategy based on the chemometric-assisted HPLC-DAD method was proposed for the quantification and source apportionment of eight PAHs in PM10 samples. Compared to traditional chromatographic methods, this approach does not require the purification of complex PM10 samples. Instead, it utilizes a mathematical separation method to extract analytes’ profiles from overlapping chromatographic peaks, enabling precise quantification of PAHs in PM10. Firstly, 40 PM10 samples collected in Loudi city during two sampling periods were used for analysis. Subsequently, the second-order calibration method based on alternating trilinear decomposition (ATLD) was employed to handle the three-way HPLC-DAD data. Finally, the pollution sources of PAHs were analyzed by the feature component analysis method according to the obtained relative concentration matrix. For the validation model, the average recoveries of eight PAHs were between (88.8 ± 7.6)% and (105.6 ± 7.5)%, and the root-mean-square errors of prediction ranged from 0.03 μg mL−1 to 0.47 μg mL−1. The obtained limits of quantification for eight PAHs were in the range of 0.0050 μg mL−1 to 0.079 μg mL−1. For actual PM10 samples, results of the feature component analysis indicated that the main source of PAHs in PM10 may be traffic emissions and coal combustion. In summary, the proposed method provided a new and rapid analysis method for the accurate determination and source apportionment of PAHs in atmospheric aerosols. Full article
(This article belongs to the Special Issue Green Analytical Methods for Environmental and Food Analysis)
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