From the journal:

Nanoscale

Correction: Recent advances in nanoporous NOx gas sensors: synergizing Raman spectroscopy, IoT, and machine learning for high-performance detection

Vikas Yadav,a   Naveen Kumar Arkoti,b   Shivam K. Gautam,c   Suresh Kuppireddy,d   Taraka Prabhu Yendrapati,e   Sudhakar Modem,f   Chandrabhas Narayana,g   Hi-Deok Lee,*c   Soumik Siddhanta*a  and  Kolleboyina Jayarmaulu*b  

* Corresponding authors

a Department of Chemistry, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, India
E-mail: soumik@iitd.ac.in

b Hybrid Porous Materials Lab, Department of Chemistry, Indian Institute of Technology Jammu, Jammu & Kashmir, India
E-mail: jayaramulu.kolleboyina@iitjammu.ac.in

c Korea Sensor Lab, Department of Electronics Engineering, Chungnam National University, Daejeon, South Korea
E-mail: hdlee@cnu.ac.kr

d Renewable and Sustainable Energy Research Center, Technology Innovation Institute (TII), P.O. Box 9639, Masdar City, Abu Dhabi, United Arab Emirates

e Department of Physics, Andhra Loyola College, Vijayawada 520008, Andhra Pradesh, India

f Department of Electrical Engineering, Indian Institute of Technology Jammu, Jammu & Kashmir, India

g Rajiv Gandhi Centre for Biotechnology, Thycaud P.O., Poojappura, Thiruvananthapuram, India

Abstract

Correction for ‘Recent advances in nanoporous NOx gas sensors: synergizing Raman spectroscopy, IoT, and machine learning for high-performance detection’ by Vikas Yadav, et al., Nanoscale, 2025, https://doi.org/10.1039/d5nr01757b.

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DOI
https://doi.org/10.1039/D5NR90183A
Article type
Correction
Submitted
10 Sep 2025
Accepted
10 Sep 2025
First published
16 Sep 2025
This article is Open Access
Creative Commons BY license

Nanoscale, 2025, Advance Article

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Correction: Recent advances in nanoporous NOx gas sensors: synergizing Raman spectroscopy, IoT, and machine learning for high-performance detection

V. Yadav, N. K. Arkoti, S. K. Gautam, S. Kuppireddy, T. P. Yendrapati, S. Modem, C. Narayana, H. Lee, S. Siddhanta and K. Jayarmaulu, Nanoscale, 2025, Advance Article , DOI: 10.1039/D5NR90183A

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