Development of a non-destructive method for determining protein nitrogen in a yellow fever vaccine by near infrared spectroscopy and multivariate calibration

Dabkiewicz, Vanessa Emídio; Abrantes, Shirley de Mello Pereira; Cassella, Ricardo J.

doi:10.1016/j.saa.2018.04.042

Cited by 5 publications

(2 citation statements)

References 36 publications

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“…The NIR spectroscopy and PLSR were used to determine protein nitrogen in yellow fever vaccine 17 . Haghighi, Hemmateenejad and Shamsipur 18 using fluorescence spectroscopy and multivariate curve resolution alternative least square (MCR-ALS) were able to predict enantiomeric excess of some amino acids in frozen plasma which RMSEP values lower than 0.07% and R higher than 0.97.…”

Section: Medical and Pharmaceutical Applicationsmentioning

confidence: 99%

Chemometrics in analytical chemistry – an overview of applications from 2014 to 2018

et al. 2019

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A compilation of papers published between 2014 and 2018 was evaluated. Many papers related to multivariate calibration and classification have been reported, as well as, design of experiments applications and artificial intelligence methods. Some applications were highlighted, as medical and pharmaceutical, food analysis, fuels, biological and forensic for the chemometric techniques on this review. Most studies are related to developing methods for practical solutions in industry or routine analysis. A promising scenario is shown considering the number of published papers: a total of 832 for this period using the keywords, multivariate classification, multivariate calibration, analysis, chemometrics, prediction, analytical chemistry, artificial neural networks (ANN), design of experiments (DoE) and factorial design. An useful overview for Analytical Chemistry researchers´ combined with Chemometrics is presented in this review.

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Section: Medical and Pharmaceutical Applicationsmentioning

confidence: 99%

Chemometrics in analytical chemistry – an overview of applications from 2014 to 2018

et al. 2019

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“…This allows for the monitoring of a huge number of samples in the manufacturing line without impacting the line’s throughput. Subsequently, NIRS has established itself as one of the most reliable spectroscopic methods for determining chemical and physical properties of foods [ 19 ], pharmaceuticals [ 20 ], yellow fever vaccine [ 21 ], fuel industry [ 22 ], polymers [ 23 ] and Escherichia coli [ 24 ].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of portable near-infrared spectroscopy for authentication of mRNA based COVID-19 vaccines

et al. 2022

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Since its identification in 2019, Covid-19 has spread to become a global pandemic. Until now, vaccination in its different forms proves to be the most effective measure to control the outbreak and lower the burden of the disease on healthcare systems. This arena has become a prime target to criminal networks that spread counterfeit Covid-19 vaccines across the supply chain mainly for profit. Counterfeit vaccines provide false sense of security to individuals, heightens the risk of exposure and outbreak of the virus, and increase the risk of harm linked to Covid-19 infection. Moreover, the increase in counterfeit vaccines feeds hesitancy towards vaccination and erodes the trust in mass immunisation programmes. It is therefore of paramount importance to work on rapid and reliable methods for vaccine authentication. Subsequently this work utilised a portable and non-destructive near infrared (NIR) spectroscopic method for authentication of Covid-19 vaccines. A total of 405 Covid-19 vaccines samples, alongside their main constituents, were measured as received through glass vials. Spectral quality and bands were inspected by considering the raw spectra of the vaccines. Authentication was explored by applying principal component analysis (PCA) to the multiplicative scatter correction-first derivative spectra. The results showed that NIR spectra of the vaccine featured mainly bands corresponding to the mRNA active ingredient. Fewer bands corresponded to the excipients and protein spectra. The vaccines NIR spectra were strongly absorbing with maximum absorbances up to 2.7 absorbance units and that differentiated them from samples containing normal saline only (constituent reported for counterfeit Covid-19 vaccines). Clustering based on PCA offered optimal authentication of Covid-19 vaccines when applied over the range of 9000–4000 cm-1These findings shed light on the potential of using NIR for analysing Covid-19 vaccines and presents a rapid and effective initial technique for Covid-19 vaccine authentication.

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A rapid and nondestructive method for the prediction of lignin content in tropical Amazon woods using FT-NIR spectroscopy

Nascimento,

Cruz,

Araújo

et al. 2024

J Indian Acad Wood Sci

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Development of a non-destructive method for determining protein nitrogen in a yellow fever vaccine by near infrared spectroscopy and multivariate calibration

Cited by 5 publications

References 36 publications

Chemometrics in analytical chemistry – an overview of applications from 2014 to 2018

Chemometrics in analytical chemistry – an overview of applications from 2014 to 2018

Evaluation of portable near-infrared spectroscopy for authentication of mRNA based COVID-19 vaccines

A rapid and nondestructive method for the prediction of lignin content in tropical Amazon woods using FT-NIR spectroscopy

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