Progress in Analytical Chemistry in Materials and Food and Environmental Samples

Topic Information

Dear Colleagues,

It is often said that analytical chemistry is the chemistry that is most widely used by non-chemists. This statement effectively explains how essential analytical data are for development of other nonchemical disciplines. Progress in materials science, food science and technology, and environmental monitoring and protection can not occur without the parallel development of increasingly sensitive and accurate analytical techniques and methods applied to materials, foods, and ecosystems. In material science, analytical methods allow accurate identification of the composition, characteristics, and quality of a wide variety of systems like alloys, coatings, polymers, and composite materials. Moreover, analytical chemistry plays key role in the process analytical technology which is used to design, analyze, and control manufacturing processes in the chemical industries. Тhe globalization of food production poses new requirements towards chemical analysis methods in order to ensure food quality and quarantine consumer health. Furthermore, an environment increasingly threatened by old and new emerging forms of pollution requires more and more sensitive and up-to-date analytical monitoring tools. Finally, the need to manage the information contained in huge datasets obtained by modern analytical instruments imposes the continuous development of more data driven target oriented chemometric tools.

This topic is devoted to publishing original research papers, short communications, application notes, and critical reviews about the latest developments in the fields of characterization of materials, food, and environment. Contributions related to the application of new pretreatment techniques and those aimed at maximizing analytical information by means of chemometric techniques are also encouraged. 

Prof. Gavino Sanna
Prof. Dr. Domenica Tonelli
Prof. Dr. Oscar Núñez
Prof. Dr. Stefan Tsakovski
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Analytica analytica	-	-	2020	14.5 Days	CHF 1000	Submit
Foods foods	5.2	5.8	2012	15.9 Days	CHF 2900	Submit
Molecules molecules	4.6	6.7	1996	13.6 Days	CHF 2700	Submit
Processes processes	3.5	4.7	2013	13.9 Days	CHF 2400	Submit
Separations separations	2.6	2.5	2014	12.9 Days	CHF 2600	Submit

Published Papers (2 papers)

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All Analytica Foods Molecules Processes Separations

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18 pages, 3458 KiB  

Open AccessReview

Paper-Based Microfluidic Chips for Food Hazard Factor Detection: Fabrication, Modification, and Application

by

Meiqi Liang

,

Guozhi Zhang

,

Jie Song

,

Mingqian Tan

and

Wentao Su

Foods 2023, 12(22), 4107; https://doi.org/10.3390/foods12224107 - 13 Nov 2023

Viewed by 954

Abstract

Food safety and quality are paramount concerns for ensuring the preservation of human life and well-being. As the field of food processing continues to advance, there is a growing interest in the development of fast, instant, cost-effective, and convenient methods for detecting food [...] Read more.

Food safety and quality are paramount concerns for ensuring the preservation of human life and well-being. As the field of food processing continues to advance, there is a growing interest in the development of fast, instant, cost-effective, and convenient methods for detecting food safety issues. In this context, the utilization of paper-based microfluidic chips has emerged as a promising platform for enabling rapid detection, owing to their compact size, high throughput capabilities, affordability, and low resource consumption, among other advantages. To shed light on this topic, this review article focuses on the functionalization of paper-based microfluidic surfaces and provides an overview of the latest research and applications to colorimetric analysis, fluorescence analysis, surface-enhanced Raman spectroscopy, as well as their integration with paper-based microfluidic platforms for achieving swift and reliable food safety detection. Lastly, the article deliberates on the challenges these analytical methods and presents insights into their future development prospects in facilitating rapid food safety assessment. Full article

(This article belongs to the Topic Progress in Analytical Chemistry in Materials and Food and Environmental Samples)

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20 pages, 3470 KiB  

Open AccessArticle

Determination of Ten Plant Growth Regulators in Bean Sprouts by Mixed Solid Phase Extraction Columns Separation and LC-MS/MS

by

Chenggang Cai

,

Feng Yao

,

Chuanpeng Li

,

Yannan Xiang

,

Pinggu Wu

,

Zhengyan Hu

,

Junlin Wang

and

Ruiyu Zhu

Processes 2023, 11(9), 2586; https://doi.org/10.3390/pr11092586 - 29 Aug 2023

Viewed by 633

Abstract

(1) Background: Plant growth regulators (PGRs) can accelerate growth or improve the quality and quantity of bean sprouts but are forbidden to use in bean sprout cultivation, as the sprouting process’s increased chemicals will disturb the PGRs analysis. This article aimed to increase [...] Read more.

(1) Background: Plant growth regulators (PGRs) can accelerate growth or improve the quality and quantity of bean sprouts but are forbidden to use in bean sprout cultivation, as the sprouting process’s increased chemicals will disturb the PGRs analysis. This article aimed to increase the accuracy and level of sensitivity of the LC-MS/MS method for the simultaneous analysis of 10 PGRs after mixed solid phase extraction (SPE) purification. (2) Methods: An LC-MS/MS detection method for 10 kinds of PGRs was established based on ESI ionization in the positive ion mode for 6-furfurylaminopurine (6-KT), paclobutrazol (PBZ), indole-2-acetic acid (IAA), and indole-3-butyric acid (IBA) and in the negative ion mode for gibberellin A3 (GA₃), 2,4-dichlorophenoxy acetic acid (2,4-D), 4-chlorophenoxyacetic acid (4-CPA), forchlorfenuron (FCF), thidiazuron (TDZ), and 6-benzyl adenine (6-BA). (3) Results: The 10 PGR compounds were detected within a concentration range of 1.0–50 ng/mL. The average recovery was 68.3–97.3% with relative standard deviations (RSD) of 4.6–15.2% (n = 6); the limit of detection (LOD) and limit of quantification (LOQ) were found to be 2 and 5 ng/g, respectively. PGRs were surveyed in 36 soybean sprouts and 33 mungbean sprouts; the results showed that 4-CPA and IAA were detected in 10 soybean sprouts and 10 mungbean sprouts, respectively. Five samples contained both 4-CPA and IAA. (4) Conclusions: The established method is simple, rapid, accurate, and highly sensitive for the detection of PGR residues in bean sprout products. Full article

(This article belongs to the Topic Progress in Analytical Chemistry in Materials and Food and Environmental Samples)

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