Aluminium decorated sulfur-doped graphitic carbon nitride for the rapid sensing of toxic food dye.
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| Title: | Aluminium decorated sulfur-doped graphitic carbon nitride for the rapid sensing of toxic food dye. |
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| Authors: | Kumar, L. Abishek1,2 (AUTHOR), Alwarappan, Subbiah1,2 (AUTHOR) salwarappan.cecri@csir.res.in |
| Source: | Microchemical Journal. Dec2025, Vol. 219, pN.PAG-N.PAG. 1p. |
| Subjects: | Aluminum, Electrochemical sensors, Sensitivity & specificity (Statistics), Sulfur, Coloring matter in food, Food color, Doping agents (Chemistry), Statistical accuracy |
| Abstract: | Electrochemical detection of Fast Green FCF (FGF), a common synthetic food colorant utilized extensively in food and cosmetic industries, has been the focus of considerable interest due to increasing concerns regarding its possible health risks, i.e., its carcinogenicity. Due to its extensive use and relevance to consumer safety, selective and sensitive detection of FGF is very important. To address this requirement, the current study proposes a new electrochemical sensor designed based on aluminium-decorated sulfur-doped graphitic carbon nitride (Al-S-g-C 3 N 4) as the electrode platform. Experimental results showed that the proposed sensor displays outstanding attributes, such as fast response time, high sensitivity, and good selectivity towards FGF. The sensor exhibited a wide linear detection range from 0.002 μM to 3.6 μM and a limit of detection (LOD) of 0.16 nM, highlighting its ability to detect trace amounts of the dye with accuracy. Furthermore, the sensor exhibited satisfactory selectivity even in the presence of possible interfering compounds and exhibited good reproducibility. These findings confirm the reliability and endurance of the proposed sensing platform. Notably, the affordability and simplicity of the sensor design maximized its utility for real-world applications in food safety monitoring and quality control. Electrochemical detection of Fast Green FGF at Al-S-g-C 3 N 4 @GCE. [Display omitted] • Aluminium-decorated sulfur-doped graphitic carbon nitride (Al-S-g-C 3 N 4) based sensor has been designed. • Sensor exhibited a rapid, sensitive, and selective detection of fast green. • Sensor exhibited good selectivity, reproducibility, and stability in food samples. • The proposed sensing platform is cost-effective and robust. [ABSTRACT FROM AUTHOR] |
| Copyright of Microchemical Journal is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 189907321 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Aluminium decorated sulfur-doped graphitic carbon nitride for the rapid sensing of toxic food dye. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kumar%2C+L%2E+Abishek%22">Kumar, L. Abishek</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Alwarappan%2C+Subbiah%22">Alwarappan, Subbiah</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> salwarappan.cecri@csir.res.in</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Microchemical+Journal%22">Microchemical Journal</searchLink>. Dec2025, Vol. 219, pN.PAG-N.PAG. 1p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Aluminum%22">Aluminum</searchLink><br /><searchLink fieldCode="DE" term="%22Electrochemical+sensors%22">Electrochemical sensors</searchLink><br /><searchLink fieldCode="DE" term="%22Sensitivity+%26+specificity+%28Statistics%29%22">Sensitivity & specificity (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Sulfur%22">Sulfur</searchLink><br /><searchLink fieldCode="DE" term="%22Coloring+matter+in+food%22">Coloring matter in food</searchLink><br /><searchLink fieldCode="DE" term="%22Food+color%22">Food color</searchLink><br /><searchLink fieldCode="DE" term="%22Doping+agents+%28Chemistry%29%22">Doping agents (Chemistry)</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+accuracy%22">Statistical accuracy</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Electrochemical detection of Fast Green FCF (FGF), a common synthetic food colorant utilized extensively in food and cosmetic industries, has been the focus of considerable interest due to increasing concerns regarding its possible health risks, i.e., its carcinogenicity. Due to its extensive use and relevance to consumer safety, selective and sensitive detection of FGF is very important. To address this requirement, the current study proposes a new electrochemical sensor designed based on aluminium-decorated sulfur-doped graphitic carbon nitride (Al-S-g-C 3 N 4) as the electrode platform. Experimental results showed that the proposed sensor displays outstanding attributes, such as fast response time, high sensitivity, and good selectivity towards FGF. The sensor exhibited a wide linear detection range from 0.002 μM to 3.6 μM and a limit of detection (LOD) of 0.16 nM, highlighting its ability to detect trace amounts of the dye with accuracy. Furthermore, the sensor exhibited satisfactory selectivity even in the presence of possible interfering compounds and exhibited good reproducibility. These findings confirm the reliability and endurance of the proposed sensing platform. Notably, the affordability and simplicity of the sensor design maximized its utility for real-world applications in food safety monitoring and quality control. Electrochemical detection of Fast Green FGF at Al-S-g-C 3 N 4 @GCE. [Display omitted] • Aluminium-decorated sulfur-doped graphitic carbon nitride (Al-S-g-C 3 N 4) based sensor has been designed. • Sensor exhibited a rapid, sensitive, and selective detection of fast green. • Sensor exhibited good selectivity, reproducibility, and stability in food samples. • The proposed sensing platform is cost-effective and robust. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Microchemical Journal is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.microc.2025.115700 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Subjects: – SubjectFull: Aluminum Type: general – SubjectFull: Electrochemical sensors Type: general – SubjectFull: Sensitivity & specificity (Statistics) Type: general – SubjectFull: Sulfur Type: general – SubjectFull: Coloring matter in food Type: general – SubjectFull: Food color Type: general – SubjectFull: Doping agents (Chemistry) Type: general – SubjectFull: Statistical accuracy Type: general Titles: – TitleFull: Aluminium decorated sulfur-doped graphitic carbon nitride for the rapid sensing of toxic food dye. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kumar, L. Abishek – PersonEntity: Name: NameFull: Alwarappan, Subbiah IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 0026265X Numbering: – Type: volume Value: 219 Titles: – TitleFull: Microchemical Journal Type: main |
| ResultId | 1 |