Morphological Signatures of Salt Crystals under Controlled Humidity Using Advanced Image Analysis

We designed, fabricated, and utilized a humidity control chamber to investigate how controlled relative humidity (RH) affects crystallization patterns of two different salts; sodium chloride (NaCl) and ammonium chloride (NH<sub>4</sub>Cl) on glass slides. We also performed high-resolution imaging and MATLAB-based analysis to extract morphological and textural features of dried salt deposits, which were then assessed using Principal Component Analysis (PCA) technique. Results showed that humidity significantly impacted drying times and crystal morphologies. NH<sub>4</sub>Cl formed dendritic structures that grew more complex with higher humidity, while NaCl produced cubic/hopper crystals, whose size and aggregation varied with humidity. PCA analysis showed humidity-specific patterns, with NH<sub>4</sub>Cl displaying greater sensitivity. Our results demonstrate that the controlled humidity systematically alters salt crystallization dynamics, and advanced image analysis can precisely quantify these morphological signatures. Deep learning neural network models predict the correct salts from their image morphologies with over 97% accuracy.

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Publication Details

Journal
The Journal of Physical Chemistry B
Published
2025-09-18
DOI
https://doi.org/10.1021/acs.jpcb.5c04762
Citations
2
Primary Topic
Nanomaterials and Printing Technologies
Type
article
Field-Weighted Citation Impact
1.46
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article

Morphological Signatures of Salt Crystals under Controlled Humidity Using Advanced Image Analysis

S Amrutha, Oliver Steinbock, Beni B. Dangi, Sanam Pudasaini
2 citations
The Journal of Physical Chemistry B
Nanomaterials and Printing Technologies
1.46
article

Morphological Signatures of Salt Crystals under Controlled Humidity Using Advanced Image Analysis

S Amrutha, Oliver Steinbock, Beni B. Dangi, Sanam Pudasaini
article en
2 citations

Abstract

We designed, fabricated, and utilized a humidity control chamber to investigate how controlled relative humidity (RH) affects crystallization patterns of two different salts; sodium chloride (NaCl) and ammonium chloride (NH<sub>4</sub>Cl) on glass slides. We also performed high-resolution imaging and MATLAB-based analysis to extract morphological and textural features of dried salt deposits, which were then assessed using Principal Component Analysis (PCA) technique. Results showed that humidity significantly impacted drying times and crystal morphologies. NH<sub>4</sub>Cl formed dendritic structures that grew more complex with higher humidity, while NaCl produced cubic/hopper crystals, whose size and aggregation varied with humidity. PCA analysis showed humidity-specific patterns, with NH<sub>4</sub>Cl displaying greater sensitivity. Our results demonstrate that the controlled humidity systematically alters salt crystallization dynamics, and advanced image analysis can precisely quantify these morphological signatures. Deep learning neural network models predict the correct salts from their image morphologies with over 97% accuracy.

The Journal of Physical Chemistry BVol. 129(39)
Florida State University (US), Florida Agricultural and Mechanical University (US)
Openalex Percentile: Top 15%
Nanomaterials and Printing Technologies
1.46
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Morphological Signatures of Salt Crystals under Controlled Humidity Using Advanced Image Analysis — S Amrutha, Oliver Steinbock, et al. · The Journal of Physical Chemistry B (2025) | TGRS Research Map | TGRS