1. Organic Cation Receptor for Colorimetric Lateral Flow Device: Detection of Zearalenone in Food Samples
- Authors: M. Kumar, G. Singh, N. Kaur, N. Singh
- Journal: ACS Applied Materials & Interfaces
- Volume/Issue: 14 (1), Pages 910-919
- Year: 2022
- Citations: 27
- Summary: This study reports a colorimetric lateral flow device using an organic cation receptor for the selective detection of zearalenone (ZEA), a mycotoxin contaminating food samples. The device provides high sensitivity, specificity, and portability, making it a promising tool for on-site food safety analysis.
2. Machine Learning-Based Analytical Systems: Food Forensics
- Authors: Ranbir, M. Kumar, G. Singh, J. Singh, N. Kaur, N. Singh
- Journal: ACS Omega
- Volume/Issue: 7 (51), Pages 47518-47535
- Year: 2022
- Citations: 16
- Summary: This review highlights the role of machine learning algorithms in analytical systems for food forensics, focusing on rapid detection, classification, and quantification of food contaminants. The paper explores AI-driven techniques for food quality assurance, fraud detection, and safety monitoring.
3. Colorimetric Nanozyme Sensor Array Based on Metal Nanoparticle-Decorated CNTs for Quantification of Pesticides in Real Water and Soil Samples
- Authors: M. Kumar, N. Kaur, N. Singh
- Journal: ACS Sustainable Chemistry & Engineering
- Year: 2024
- Summary: This paper presents a nanozyme-based sensor array for pesticide detection in environmental samples. By decorating carbon nanotubes (CNTs) with metal nanoparticles, the sensor exhibits enhanced peroxidase-like activity, allowing rapid and selective colorimetric detection of pesticides in water and soil samples.
4. NiCr₂O₄ Nanozyme-Based Portable Sensor Kit for On-Site Quantification of Nerve Agent Mimic for Environmental Monitoring
- Authors: M. Kumar, N. Kaur, N. Singh
- Journal: Sensors and Actuators B: Chemical
- Volume: 392, Article 134080
- Year: 2023
- Citations: 9
- Summary: This work develops a portable sensor kit based on NiCr₂O₄ nanozyme for detecting nerve agent mimics in environmental samples. The sensor demonstrates high sensitivity, stability, and real-time detection capability, making it suitable for on-site chemical hazard assessment.
5. Detection and Detoxification of Imidacloprid in Food Samples through Ionic Liquid-Stabilized CuNi Alloy Nanoparticle-Decorated Multiwall Carbon Nanotubes
- Authors: M. Kumar, N. Kaur, N. Singh
- Journal: Environmental Science: Nano
- Volume/Issue: 9 (8), Pages 2750-2763
- Year: 2022
- Citations: 4
- Summary: This study focuses on imidacloprid pesticide detection and detoxification using a CuNi alloy nanoparticle-decorated MWCNT sensor. The developed sensor provides highly sensitive and selective quantification, while the ionic liquid-based stabilization enhances its performance.
Conclusion
Dr. Manish Kumar is a highly promising researcher with significant contributions to nanomaterials-based sensor technologies and environmental safety. His strong publication record, interdisciplinary expertise, and impactful innovations make him a worthy contender for the Best Paper Award.
To strengthen his case further, he should focus on increasing citations, securing independent grants, expanding global collaborations, and pursuing commercialization avenues.
Verdict: Highly Suitable Candidate with potential for further growth in research leadership.