Papers

4

Total Citations

15

H-Index

2

About

Dnyaneshwar Shinde is an analytical and environmental chemist whose research sits at the cutting edge of wastewater-based epidemiology (WBE) and green analytical chemistry. His work focuses on developing innovative, high-throughput, and environmentally sustainable methods for detecting complex contaminants — including polycyclic aromatic hydrocarbons (PAHs), illicit drugs, pharmaceutical and personal care products (PPCPs), and steroid hormones — in wastewater and environmental water matrices. Shinde's most significant contributions involve the development and validation of automated sample preparation workflows, particularly leveraging robotic platforms such as the Biomek i7 Workstation and PAL autosampler systems, coupled with advanced mass spectrometric techniques including UPLC-MS/MS and APGC-MS/MS. His 2024 introduction of the Small Volume Ethyl Acetate Liquid-Liquid Extraction (SVEA-LLE) method, his most cited work with 9 citations, demonstrated both analytical rigor and a strong commitment to method greenness. His subsequent 2025 publications — each garnering 2 citations shortly after release — collectively address over 200 compounds across multiple contaminant classes, underscoring his prolific output. Shinde's research is particularly valuable for public health surveillance and environmental monitoring, offering scalable, sustainable tools for next-generation wastewater epidemiology programs worldwide.

Research Focus

Key Achievements

2
H-Index
4
Papers
15
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Introduction of a small volume ethyl acetate based liquid-liquid extraction procedure for analysis of polycyclic aromatic hydrocarbons in wastewater by atmospheric pressure gas chromatography-mass spectrometry and evaluation of method greenness
9 citations · 2024
📈 Most Prolific Year: 2025 (3 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Abu Dhabi Department of Education and Knowledge

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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