Study on Discriminant Analysis of Photosensitive Ink
Background: Photosensitive inks are extensively employed in diverse industrial applications; however, rapid and non-destructive discrimination between ink types remains a persistent technical challenge. Conventional methods often lack the efficiency or precision required to differentiate inks from v...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wolters Kluwer Medknow Publications
2025-04-01
|
| Series: | Journal of Forensic Science and Medicine |
| Subjects: | |
| Online Access: | https://journals.lww.com/10.4103/jfsm.jfsm_138_24 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850233892347314176 |
|---|---|
| author | Xingyu Duan Fushi Chen Xingzhou Han Da Qin |
| author_facet | Xingyu Duan Fushi Chen Xingzhou Han Da Qin |
| author_sort | Xingyu Duan |
| collection | DOAJ |
| description | Background:
Photosensitive inks are extensively employed in diverse industrial applications; however, rapid and non-destructive discrimination between ink types remains a persistent technical challenge. Conventional methods often lack the efficiency or precision required to differentiate inks from varying manufacturers and models.
Aims and Objectives:
This study aimed to evaluate the feasibility of integrating microspectrophotometry with chemometric analysis for non-destructive discrimination of photosensitive inks, addressing the need for accurate and rapid identification in practical scenarios.
Materials and Methods:
Spectral data within the 400–800 nm wavelength range were non-destructively collected from 50 photosensitive ink samples, representing diverse manufacturers and models, using MSP. The acquired spectral dataset was analyzed via principal component analysis (PCA), a chemometric technique, to assess its discriminative capacity.
Results:
PCA achieved a pairwise discrimination power of 99.67% across the 50 ink samples, as visualized through load scatter plots. This result underscores the method’s robustness in detecting subtle spectral variations arising from compositional differences among inks.
Conclusion:
The combination of MSP and PCA provides an efficient, non-destructive strategy for distinguishing photosensitive inks with high precision. This approach holds substantial promise for applications in forensic investigations, industrial quality control, and authentication processes requiring rapid and reliable ink differentiation. |
| format | Article |
| id | doaj-art-d26b3ee66f0d4e13bd9d44d749edcb46 |
| institution | OA Journals |
| issn | 2349-5014 2455-0094 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Wolters Kluwer Medknow Publications |
| record_format | Article |
| series | Journal of Forensic Science and Medicine |
| spelling | doaj-art-d26b3ee66f0d4e13bd9d44d749edcb462025-08-20T02:02:47ZengWolters Kluwer Medknow PublicationsJournal of Forensic Science and Medicine2349-50142455-00942025-04-0111215115510.4103/jfsm.jfsm_138_24Study on Discriminant Analysis of Photosensitive InkXingyu DuanFushi ChenXingzhou HanDa QinBackground: Photosensitive inks are extensively employed in diverse industrial applications; however, rapid and non-destructive discrimination between ink types remains a persistent technical challenge. Conventional methods often lack the efficiency or precision required to differentiate inks from varying manufacturers and models. Aims and Objectives: This study aimed to evaluate the feasibility of integrating microspectrophotometry with chemometric analysis for non-destructive discrimination of photosensitive inks, addressing the need for accurate and rapid identification in practical scenarios. Materials and Methods: Spectral data within the 400–800 nm wavelength range were non-destructively collected from 50 photosensitive ink samples, representing diverse manufacturers and models, using MSP. The acquired spectral dataset was analyzed via principal component analysis (PCA), a chemometric technique, to assess its discriminative capacity. Results: PCA achieved a pairwise discrimination power of 99.67% across the 50 ink samples, as visualized through load scatter plots. This result underscores the method’s robustness in detecting subtle spectral variations arising from compositional differences among inks. Conclusion: The combination of MSP and PCA provides an efficient, non-destructive strategy for distinguishing photosensitive inks with high precision. This approach holds substantial promise for applications in forensic investigations, industrial quality control, and authentication processes requiring rapid and reliable ink differentiation.https://journals.lww.com/10.4103/jfsm.jfsm_138_24microspectrophotometryphotosensitive inkprincipal component analysisseal examination |
| spellingShingle | Xingyu Duan Fushi Chen Xingzhou Han Da Qin Study on Discriminant Analysis of Photosensitive Ink Journal of Forensic Science and Medicine microspectrophotometry photosensitive ink principal component analysis seal examination |
| title | Study on Discriminant Analysis of Photosensitive Ink |
| title_full | Study on Discriminant Analysis of Photosensitive Ink |
| title_fullStr | Study on Discriminant Analysis of Photosensitive Ink |
| title_full_unstemmed | Study on Discriminant Analysis of Photosensitive Ink |
| title_short | Study on Discriminant Analysis of Photosensitive Ink |
| title_sort | study on discriminant analysis of photosensitive ink |
| topic | microspectrophotometry photosensitive ink principal component analysis seal examination |
| url | https://journals.lww.com/10.4103/jfsm.jfsm_138_24 |
| work_keys_str_mv | AT xingyuduan studyondiscriminantanalysisofphotosensitiveink AT fushichen studyondiscriminantanalysisofphotosensitiveink AT xingzhouhan studyondiscriminantanalysisofphotosensitiveink AT daqin studyondiscriminantanalysisofphotosensitiveink |