New Concept in Moisture detection with Unconventional pore morphology Design

TL;DR

This paper introduces a novel pore morphology approach for water vapor detection sensors, replacing traditional pores with conical structures to improve sensitivity, lower detection limits, and eliminate common issues like hysteresis.

Contribution

It presents a new sensor design using conical pore structures fabricated by electrolyte manipulation, demonstrating enhanced performance over conventional sensors.

Findings

Normal conical pore sensor detects water vapor at ppm levels with high sensitivity.

Inverse conical pore sensor achieves RH detection below 20%, outperforming traditional sensors.

Both structures show improved linearity, response time, and reduced hysteresis.

Abstract

A break in traditional pore morphology approach, is presented here to see its niche merit over the conventional sensors for water vapour detection. Tubular pores were replaced with normal cone for trace- and inverse cone for RH- level detection. The normal conical pore was fabricated by sheer manipulation of reaction rates of electrolytes, anodic polarization rate and time; and the procedure made reversed in case of inverse cone structure. Sensor with normal cone geometry exhibits response in ppm level with sensitivity of 13pF/ppm, lower detection limit(LOD)~120 ppm with excellent response/recovery time. Lowering LOD further requires alteration of conical geometric parameters in tandem with kinetic theory of water vapour molecules. In contrast, sensor developed from inverse conical structure shows response in RH level and LOD touches down to even less than 20 RH% unlike 45 RH% in conventional RH sensors. Linear response characteristics with sensitivity of 5.14 pF/RH%; surprisingly, the limitations such as nonlinear response, large response recovery time and high hysteresis as observed in conventional anodic alumina based humidity sensors have been removed. Sensing mechanism in both the structures have been suitably demonstrated and ratified with experimental data. Trace level detection is interpreted with the statistical probabilistic approach in the light of kinetic theory of gases and Brownian energy. A correlation between top surface pore diameter (through which water molecule enters) and the optimized mean free path of vapour molecule is established, and demonstrated its effectiveness for humidity detection in trace level. Results are encouraging and same concept may be tried for detection of other gaseous stimuli including organic vapours.