Discrimination of Shirazi thyme from thymus species and antioxidant activity prediction using chemometrics and FT-IR spectroscopy

Izadiyan, Parisa; Hemmateenejad, Bahram; Taghavi, Seyed Mohsen; Izadiyan, Mahsa

doi:10.1007/s13738-017-1228-4

Cited by 4 publications

(2 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This result highlights that the differences in the chemical composition of the species are accentuated when the water content is reduced, contributing to a better grouping of samples (Figure 7). The use of NIRS for monitoring and evaluating the quality of agricultural products is widely used in dry samples or with low moisture content, mainly to improve the understanding of the chemical composition and mitigate the interference of water in the spectrum (Cunha Júnior et al, 2015;Izadiyan et al, 2018;Giraudo et al, 2019). Therefore, for PCA applied to spectral data from fresh leaves, sample segregation is generally associated with water content (León and Downey, 2006;Torres et al, 2019).…”

Section: Principal Component Analysis (Pca)mentioning

confidence: 99%

NIRS and multivariate methods for discrimination of morning glory species at different growth stages

BRAGA,

De CARVALHO,

CORREA da SILVA

et al. 2023

Not Bot Horti Agrobo

View full text Add to dashboard Cite

Morning glory species are weeds very common in tropical crops, where they cause direct and indirect damage. The management of these species primarily relies on the application of herbicides, disregarding the growth stage and spatial distribution. Studies addressing new techniques for identifying these species may contribute to the development of proximal sensors for carrying out specific and rational management. Thus, the objective of this work was to use near infrared spectroscopy (NIRS) and multivariate analysis to discriminate two species of morning glory in three growth stages. NIRS spectra were collected from Ipomoea hederifolia and Merremia aegyptia were collected at three different stages in the spectral range of 4.000 to 10.000 cm-1. PCA and PC-LDA were used to analyze the entire spectrum and specific bands. NIRS associated with PCA and PC-LDA were sufficient to discriminate I. hederifolia and M. aegyptia species and their growth stages. PCA allowed a proper segregation of stages and species when applied individually PC-LDA correctly classified between 90.93 to 100% of species and stages. The best discrimination results were observed in the NIR spectra ranges from 4.500 to 6.000 cm-1 and 4.500 to 6.000 + 6.500 to 7.750 cm-1. This study represents an advance in the research and implementation of NIRS technology to discriminate weed species for the future development of equipment to assist in the adoption and/or performance of a specific management of weeds, capable of contributing to the reduction in the use of herbicides in crops.

show abstract

Section: Principal Component Analysis (Pca)mentioning

confidence: 99%

NIRS and multivariate methods for discrimination of morning glory species at different growth stages

BRAGA,

De CARVALHO,

CORREA da SILVA

et al. 2023

Not Bot Horti Agrobo

View full text Add to dashboard Cite

show abstract

“…FTIR fingerprints of seven Iranian Thymus species, combined with regression tools (i.e. PCR, iPLS, and PLS), were used to predict the antioxidant activity, while PLS-DA and PCA-DA served to classify the samples according to their chemical profiles [76]. The FT-NIR fingerprints of Hydrastis canadensis (goldenseal), combined with MW-PCA and SIMCA, allowed discriminating pure goldenseal from 4 common adulterants (yellow dock, yellow root, coptis, oregon grape) [77].…”

Section: Metabolomics Quality and Authenticationmentioning

confidence: 99%

Recent advances in untargeted and targeted approaches applied in herbal-extracts and essential-oils fingerprinting - A review

Kharbach

Marmouzi

Jemli

et al. 2020

Journal of Pharmaceutical and Biomedical Analysis

View full text Add to dashboard Cite

A new antibacterial insight of herbal chitosan-based membranes using thyme and garlic medicinal plant extracts

Ahmadi

Jahanshahi

Peyravi

et al. 2022

Journal of Cleaner Production

View full text Add to dashboard Cite

Discrimination of Shirazi thyme from thymus species and antioxidant activity prediction using chemometrics and FT-IR spectroscopy

Cited by 4 publications

References 24 publications

NIRS and multivariate methods for discrimination of morning glory species at different growth stages

NIRS and multivariate methods for discrimination of morning glory species at different growth stages

Recent advances in untargeted and targeted approaches applied in herbal-extracts and essential-oils fingerprinting - A review

A new antibacterial insight of herbal chitosan-based membranes using thyme and garlic medicinal plant extracts

Contact Info

Product

Resources

About