Electrochemical Detection of Heavy Metals Using Graphene-Based Sensors: Advances, Meta-Analysis, Toxicity, and Sustainable Development Challenges; Biosensors; Vol. 15, iss. 8

Dades bibliogràfiques
Parent link:Biosensors.— .— Basel: MDPI AG
Vol. 15, iss. 8.— 2025.— Article number 505, 58 p.
Altres autors: Saqib M. Muhammad, Solomonenko A. N. Anna Nikolaevna, Hazra N. K. Nirmal, Shojaa A. A. Aljasar, Korotkova E. I. Elena Ivanovna, Dorozhko E. V. Elena Vladimirovna, Vashisth M. Mrinal, Kar P. K. Pradip
Sumari:Title screen
Contamination of food with heavy metals is an important factor leading to serious health concerns. Rapid identification of these heavy metals is of utmost priority. There are several methods to identify traces of heavy metals in food. Conventional methods for the detection of heavy metal residues have their limitations in terms of cost, analysis time, and complexity. In the last decade, voltammetric analysis has emerged as the most prominent electrochemical determination method for heavy metals. Voltammetry is a reliable, cost-effective, and rapid determination method. This review provides a detailed primer on recent advances in the development and application of graphene-based electrochemical sensors for heavy metal monitoring over the last decade. We critically examine aspects of graphene modification (fabrication process, stability, cost, reproducibility) and analytical properties (sensitivity, selectivity, rapid detection, lower detection, and matrix effects) of these sensors. Furthermore, to our knowledge, meta-analyses were performed for the first time for all investigated parameters, categorized based on graphene materials and heavy metal types. We also examined the pass–fail criteria according to the WHO drinking water guidelines. In addition, the effects of heavy metal toxicity on human health and the environment are discussed. Finally, the contribution of heavy metal contamination to the seventeen Sustainable Development Goals (SDGs) stated by the United Nations in 2015 is discussed in detail. The results confirm the significant impact of heavy metal contamination across twelve SDGs. This review critically examines the existing knowledge in this field and highlights significant research gaps and future opportunities. It is intended as a resource for researchers working on graphene-based electrochemical sensors for the detection of heavy metals in food safety, with the ultimate goal of improving consumer health protection
Текстовый файл
Idioma:anglès
Publicat: 2025
Matèries:
Accés en línia:https://doi.org/10.3390/bios15080505
Format: Electrònic Capítol de llibre
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=682961

MARC

LEADER 00000naa0a2200000 4500
001 682961
005 20251110161021.0
090 |a 682961 
100 |a 20251110d2025 k||y0rusy50 ba 
101 0 |a eng 
102 |a CH 
135 |a drcn ---uucaa 
181 0 |a i   |b  e  
182 0 |a b 
183 0 |a cr  |2 RDAcarrier 
200 1 |a Electrochemical Detection of Heavy Metals Using Graphene-Based Sensors: Advances, Meta-Analysis, Toxicity, and Sustainable Development Challenges  |f Muhammad Saqib, Anna N. Solomonenko, Nirmal K. Hazra [et al.] 
203 |a Текст  |b визуальный  |c электронный 
283 |a online_resource  |2 RDAcarrier 
300 |a Title screen 
320 |a References: 192 tit 
330 |a Contamination of food with heavy metals is an important factor leading to serious health concerns. Rapid identification of these heavy metals is of utmost priority. There are several methods to identify traces of heavy metals in food. Conventional methods for the detection of heavy metal residues have their limitations in terms of cost, analysis time, and complexity. In the last decade, voltammetric analysis has emerged as the most prominent electrochemical determination method for heavy metals. Voltammetry is a reliable, cost-effective, and rapid determination method. This review provides a detailed primer on recent advances in the development and application of graphene-based electrochemical sensors for heavy metal monitoring over the last decade. We critically examine aspects of graphene modification (fabrication process, stability, cost, reproducibility) and analytical properties (sensitivity, selectivity, rapid detection, lower detection, and matrix effects) of these sensors. Furthermore, to our knowledge, meta-analyses were performed for the first time for all investigated parameters, categorized based on graphene materials and heavy metal types. We also examined the pass–fail criteria according to the WHO drinking water guidelines. In addition, the effects of heavy metal toxicity on human health and the environment are discussed. Finally, the contribution of heavy metal contamination to the seventeen Sustainable Development Goals (SDGs) stated by the United Nations in 2015 is discussed in detail. The results confirm the significant impact of heavy metal contamination across twelve SDGs. This review critically examines the existing knowledge in this field and highlights significant research gaps and future opportunities. It is intended as a resource for researchers working on graphene-based electrochemical sensors for the detection of heavy metals in food safety, with the ultimate goal of improving consumer health protection 
336 |a Текстовый файл 
461 1 |t Biosensors  |c Basel  |n MDPI AG 
463 1 |t Vol. 15, iss. 8  |v Article number 505, 58 p.  |d 2025 
610 1 |a electrochemical sensor 
610 1 |a graphene derivatives 
610 1 |a heavy metals 
610 1 |a meta-analysis 
610 1 |a food product 
610 1 |a электронный ресурс 
610 1 |a труды учёных ТПУ 
701 1 |a Saqib  |b M.  |c Сhemist, Specialist in the field of electric power engineering  |c Research Engineer of Tomsk Polytechnic University  |f 1991-  |g Muhammad  |9 22017 
701 1 |a Solomonenko  |b A. N.  |c Chemical engineer  |c Engineer of Tomsk Polytechnic University  |f 1995-  |g Anna Nikolaevna  |9 22606 
701 1 |a Hazra  |b N. K.  |g Nirmal 
701 1 |a Shojaa  |b A. A.  |g Aljasar 
701 1 |a Korotkova  |b E. I.  |c chemist  |c Professor of Tomsk Polytechnic University, Doctor of chemical science  |f 1965-  |g Elena Ivanovna  |9 15456 
701 1 |a Dorozhko  |b E. V.  |c chemist  |c Engineer of Tomsk Polytechnic University  |f 1979-  |g Elena Vladimirovna  |9 16175 
701 1 |a Vashisth  |b M.  |g Mrinal 
701 1 |a Kar  |b P. K.  |g Pradip 
801 0 |a RU  |b 63413507  |c 20251110 
850 |a 63413507 
856 4 |u https://doi.org/10.3390/bios15080505  |z https://doi.org/10.3390/bios15080505 
942 |c CF