A Novel Method to Assay Aspirin in Pharmaceutical Formulations by Smartphone Camera-Based Image Scanning Densitometry

Rimsha Khan

Makale detayları

A Novel Method to Assay Aspirin in Pharmaceutical Formulations by Smartphone Camera-Based Image Scanning Densitometry

Yazarlar:

Rimsha Khan

Yayıncı:

Turkish Chemical Society

Ana Başlıklar:

Analytical Spectrometry | Analytical Chemistry (Other) | Computational Chemistry | Theoretical and Computational Chemistry (Other)

Dergi:

Journal of the Turkish Chemical Society Section A: Chemistry Vol.11 Issue 1, pp.71-82

Belge Tipi:

Makale

Yayın Tarihi:

4/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001303737

pISSN:

2149-0120

Anahtar kelimeler:

Özet:

 Aspirin, a widely-used anti-inflammatory drug, can lead to serious consequences when overdosed. Therefore, theres a need for simple, cost-effective methods to determine its concentration and mitigate potential risks. This study aimed to develop a method for assessing aspirin in pharmaceutical preparations without the need for expensive equipment and with minimal sensitivity to ambient light. In this work, aspirin was subjected to a reaction with FeIII, leading to the formation of violet-colored spots on filter paper and a 96-microwell plate. These colored spots were then captured using a smartphone in normal lighting conditions and analyzed on a computer. The integrated density of each spot was measured using a novel grayscale technique, and a calibration curve was created to relate integrated density to aspirin concentration. Analytical parameters and reagent concentrations were optimized for accuracy. To validate the method, three commercial aspirin samples were assayed and compared to ultraviolet-visible spectrophotometry, a reference method. The developed technique demonstrated excellent precision coefficient of variation 0.68 and relative errors below 5.2. When compared to traditional color models like red-green-blue RGB and hue-saturation-luminosity HSL, the grayscale model showed superior correlation R2 0.996, while the RGB model yielded less precise results R2 0.792. This study showcased the effectiveness of a cost-effective methodology for accurate aspirin quantification using a smartphone camera, even in the presence of ambient light.

 Aspirin, a widely-used anti-inflammatory drug, can lead to serious consequences when overdosed. Therefore, theres a need for simple, cost-effective methods to determine its concentration and mitigate potential risks. This study aimed to develop a method for assessing aspirin in pharmaceutical preparations without the need for expensive equipment and with minimal sensitivity to ambient light. In this work, aspirin was subjected to a reaction with FeIII, leading to the formation of violet-colored spots on filter paper and a 96-microwell plate. These colored spots were then captured using a smartphone in normal lighting conditions and analyzed on a computer. The integrated density of each spot was measured using a novel grayscale technique, and a calibration curve was created to relate integrated density to aspirin concentration. Analytical parameters and reagent concentrations were optimized for accuracy. To validate the method, three commercial aspirin samples were assayed and compared to ultraviolet-visible spectrophotometry, a reference method. The developed technique demonstrated excellent precision coefficient of variation 0.68 and relative errors below 5.2. When compared to traditional color models like red-green-blue RGB and hue-saturation-luminosity HSL, the grayscale model showed superior correlation R2 0.996, while the RGB model yielded less precise results R2 0.792. This study showcased the effectiveness of a cost-effective methodology for accurate aspirin quantification using a smartphone camera, even in the presence of ambient light.

 Aspirin, a widely-used anti-inflammatory drug, can lead to serious consequences when overdosed. Therefore, theres a need for simple, cost-effective methods to determine its concentration and mitigate potential risks. This study aimed to develop a method for assessing aspirin in pharmaceutical preparations without the need for expensive equipment and with minimal sensitivity to ambient light. In this work, aspirin was subjected to a reaction with FeIII, leading to the formation of violet-colored spots on filter paper and a 96-microwell plate. These colored spots were then captured using a smartphone in normal lighting conditions and analyzed on a computer. The integrated density of each spot was measured using a novel grayscale technique, and a calibration curve was created to relate integrated density to aspirin concentration. Analytical parameters and reagent concentrations were optimized for accuracy. To validate the method, three commercial aspirin samples were assayed and compared to ultraviolet-visible spectrophotometry, a reference method. The developed technique demonstrated excellent precision coefficient of variation 0.68 and relative errors below 5.2. When compared to traditional color models like red-green-blue RGB and hue-saturation-luminosity HSL, the grayscale model showed superior correlation R2 0.996, while the RGB model yielded less precise results R2 0.792. This study showcased the effectiveness of a cost-effective methodology for accurate aspirin quantification using a smartphone camera, even in the presence of ambient light.

 Aspirin, a widely-used anti-inflammatory drug, can lead to serious consequences when overdosed. Therefore, theres a need for simple, cost-effective methods to determine its concentration and mitigate potential risks. This study aimed to develop a method for assessing aspirin in pharmaceutical preparations without the need for expensive equipment and with minimal sensitivity to ambient light. In this work, aspirin was subjected to a reaction with FeIII, leading to the formation of violet-colored spots on filter paper and a 96-microwell plate. These colored spots were then captured using a smartphone in normal lighting conditions and analyzed on a computer. The integrated density of each spot was measured using a novel grayscale technique, and a calibration curve was created to relate integrated density to aspirin concentration. Analytical parameters and reagent concentrations were optimized for accuracy. To validate the method, three commercial aspirin samples were assayed and compared to ultraviolet-visible spectrophotometry, a reference method. The developed technique demonstrated excellent precision coefficient of variation 0.68 and relative errors below 5.2. When compared to traditional color models like red-green-blue RGB and hue-saturation-luminosity HSL, the grayscale model showed superior correlation R2 0.996, while the RGB model yielded less precise results R2 0.792. This study showcased the effectiveness of a cost-effective methodology for accurate aspirin quantification using a smartphone camera, even in the presence of ambient light.

Makale detayları

A Novel Method to Assay Aspirin in Pharmaceutical Formulations by Smartphone Camera-Based Image Scanning Densitometry

Yazarlar:

Rimsha Khan

Yayıncı:

Turkish Chemical Society

Ana Başlıklar:

Analytical Spectrometry | Analytical Chemistry (Other) | Computational Chemistry | Theoretical and Computational Chemistry (Other)

Dergi:

Journal of the Turkish Chemical Society Section A: Chemistry Vol.11 Issue 1, pp.71-82

Belge Tipi:

Makale

Yayın Tarihi:

4/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001303737

pISSN:

2149-0120

Image scanning densitometry

spectrophotometry

spot tests

smartphone

aspirin

drug analysis

Sayı

Makale detayları

A Novel Method to Assay Aspirin in Pharmaceutical Formulations by Smartphone Camera-Based Image Scanning Densitometry

Yazarlar: Rimsha Khan

Yayıncı: Turkish Chemical Society

Ana Başlıklar: Analytical Spectrometry | Analytical Chemistry (Other) | Computational Chemistry | Theoretical and Computational Chemistry (Other)

Dergi: Journal of the Turkish Chemical Society Section A: Chemistry Vol.11 Issue 1, pp.71-82

Belge Tipi: Makale

Yayın Tarihi: 4/2024

Belge Dili: İngilizce

Document ID (Org No.): 2001303737

pISSN: 2149-0120

Image scanning densitometry

spectrophotometry

spot tests

smartphone

aspirin

drug analysis

Sayı

Yazarlar:

Rimsha Khan

Yayıncı:

Turkish Chemical Society

Ana Başlıklar:

Analytical Spectrometry | Analytical Chemistry (Other) | Computational Chemistry | Theoretical and Computational Chemistry (Other)

Dergi:

Journal of the Turkish Chemical Society Section A: Chemistry Vol.11 Issue 1, pp.71-82

Belge Tipi:

Makale

Yayın Tarihi:

4/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001303737

pISSN:

2149-0120