
Global Food Security, Год журнала: 2024, Номер 42, С. 100801 - 100801
Опубликована: Сен. 1, 2024
Язык: Английский
Global Food Security, Год журнала: 2024, Номер 42, С. 100801 - 100801
Опубликована: Сен. 1, 2024
Язык: Английский
Journal of Hazardous Materials, Год журнала: 2024, Номер 470, С. 134293 - 134293
Опубликована: Апрель 13, 2024
Язык: Английский
Процитировано
9Sensors, Год журнала: 2024, Номер 24(13), С. 4350 - 4350
Опубликована: Июль 4, 2024
Water pollution greatly impacts humans and ecosystems, so a series of policies have been enacted to control it. The first step in performing is detect contaminants the water. Various methods proposed for water quality testing, such as spectroscopy, chromatography, electrochemical techniques. However, traditional testing require utilization laboratory equipment, which large not suitable real-time field. Microfluidic devices can overcome limitations instruments become an efficient convenient tool analysis. At same time, artificial intelligence ideal means recognizing, classifying, predicting data obtained from microfluidic systems. based on machine learning are being developed with great significance next generation monitoring This review begins brief introduction algorithms involved materials used fabrication detection techniques platforms. Then, latest research development combining two pollutant bodies, including heavy metals, pesticides, micro- nanoplastics, microalgae, mainly introduced. Finally, challenges encountered future directions industrial chips discussed.
Язык: Английский
Процитировано
9Journal of Hazardous Materials, Год журнала: 2024, Номер 478, С. 135326 - 135326
Опубликована: Июль 26, 2024
Язык: Английский
Процитировано
8Journal of environmental chemical engineering, Год журнала: 2024, Номер 12(5), С. 114072 - 114072
Опубликована: Сен. 6, 2024
Язык: Английский
Процитировано
8Journal of Stored Products Research, Год журнала: 2025, Номер 111, С. 102533 - 102533
Опубликована: Янв. 2, 2025
Язык: Английский
Процитировано
1Environmental Research, Год журнала: 2025, Номер 268, С. 120753 - 120753
Опубликована: Янв. 4, 2025
Язык: Английский
Процитировано
1ACS Agricultural Science & Technology, Год журнала: 2025, Номер unknown
Опубликована: Янв. 22, 2025
Язык: Английский
Процитировано
1Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
1ACS Agricultural Science & Technology, Год журнала: 2025, Номер unknown
Опубликована: Фев. 11, 2025
Язык: Английский
Процитировано
1Journal of Separation Science, Год журнала: 2025, Номер 48(2)
Опубликована: Фев. 1, 2025
ABSTRACT The widespread use of organophosphorus pesticides (OPs) has raised significant environmental and health concerns due to their residues in soil potential entry into the food chain. This study introduced chiral analysis methods for four OPs—methamidophos (METHP), dipterex (DIP), malathion (MALA), isothiophos‐methyl (ISOME)—using liquid chromatography–tandem mass spectrometry (LC–MS/MS) with cellulose‐based columns. Three distinct were established: one METHP, another DIP, a third MALA ISOME. Key chromatographic variables, including organic mobile phases column temperatures, systematically optimized, achieving maximum resolutions ( R s) 1.61 2.40 1.70 MALA, 2.02 QuEChERS method was employed sample pretreatment, ensuring high recoveries. All three demonstrated excellent linearity > 0.998), accuracy recoveries ranging from 79% 121%, precision RSD% < 11%, sensitivity low limits enantiomer detection (LODs) as 0.17 µg/kg 0.087 0.062 0.054 ISOME, representing improvement 16–172 times compared existing methods. Field samples Yangzizhou District, Nanchang, China, revealed contamination by concentrations single reaching up 8343 µg/kg, while exhibited varying enantiomeric ratios depth. provides robust analytical tools monitoring OP soil, contributing safety protection.
Язык: Английский
Процитировано
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