Classification of Tuberculosis by Surface-Enhanced Raman Spectroscopy (SERS) with Principal Component Analysis (PCA) and Partial Least Squares – Discriminant Analysis (PLS-DA)-Reference-Cited by-同舟云学术

Classification of Tuberculosis by Surface-Enhanced Raman Spectroscopy (SERS) with Principal Component Analysis (PCA) and Partial Least Squares – Discriminant Analysis (PLS-DA)

Published:2022-02-25 Issue:11 Volume:55 Page:1731-1744
ISSN:0003-2719
Container-title:Analytical Letters
language:en
Short-container-title:Analytical Letters

Author:

Shahzad Kashif¹,Nawaz Haq¹,Majeed Muhammad Irfan¹,Nazish Rimsha¹,Rashid Nosheen²,Tariq Ayesha¹,Shakeel Samra¹,Shahzadi Anam¹,Yousaf Sadia¹,Yaqoob Nimra¹,Hameed Wajeeha¹,Sharif Sana¹

Affiliation:

1. Department of Chemistry, University of Agriculture Faisalabad, Faisalabad, Pakistan

2. Department of Chemistry, University of Education, Faisalabad Campus, Faisalabad, Pakistan

Publisher

Informa UK Limited

Subject

Electrochemistry,Biochemistry (medical),Clinical Biochemistry,Spectroscopy,Biochemistry,Analytical Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/00032719.2021.2024218

Reference32 articles.

1. Characterization and prediction of viral loads of Hepatitis B serum samples by using surface-enhanced Raman spectroscopy (SERS)

2. Rapid and sensitive discrimination among carbapenem resistant and susceptible E. coli strains using Surface Enhanced Raman Spectroscopy combined with chemometric tools