Results 111 to 120 of about 72,257 (309)

Evaluation of Yield, Chemical Composition and Antioxidant Capacity of the Essential Oil From Leaves and Fruits (Seed and Bark) of Virola sebifera Aubl. (Myristicaceae)

Flavour and Fragrance Journal, EarlyView.
In the study of V. sebifera plant organs, the leaves exhibited the highest EO content, with peak production in February, the Amazonian winter. Notably, among the various plant parts yielding EO, the fruit peel contained the highest oil concentration. ABSTRACT The essential oils (EOs) of Virola sebifera were obtained from leaves, seed fruits and husked ...
Jorddy Neves Cruz, Mozaniel Santana de Oliveira, Soluan Felipe Melo Pereira, Oberdan Oliveira Ferreira, Rafael Rodrigues Lima, Eloisa Helena Aguiar de Andade   +5 more
wiley   +1 more source

Homoscedastic controlled calibration model [PDF]

Journal of Chemometrics, v. 21, p. 145-155, 2007, 2008
In the context of the usual calibration model, we consider the case in which the independent variable is unobservable, but a pre-fixed value on its surrogate is available. Thus, considering controlled variables and assuming that the measurement errors have equal variances we propose a new calibration model.
arxiv  

Chemometrics and Modeling

CHIMIA, 2001
Chemometrics is a chemical discipline in which mathematical and statistical techniques are applied to design experiments or to analyze chemical data. An important part of chemometrics is modeling, in which one tries to relate two or more characteristics in such a way that the obtained model represents reality as closely as possible.
Estienne, Frederic, Yvan, Vander Heyden, Massart, Desire   +2 more
openaire   +2 more sources

Chemometrics in Food Technology

, 2012
The food sector is one of the most important voices in the economic field as it fulfills one of the main needs of man. The changes in the society in recent years have radically modified the food industry by combining the concept of globalization with the revaluation of local production.
R. Guidetti, R. Beghi, V. Giovenzana
openaire   +4 more sources

Advancing Food Safety in Bangladesh: Challenges and the Promise of Smart Sensor Technology

Food Safety and Health, EarlyView.
This study critically analyzes prevalent food safety hazards in Bangladesh and identifies key challenges in food safety practices and regulations. It discusses factors influencing food safety and explores strategies to enhance public health. Additionally, advancements in smart sensor‐based detection methods for food hazards are highlighted to offer ...
Md Wadud Ahmed, Mohammed Kamruzzaman
wiley   +1 more source

A self-reactivated PdCu catalyst for aldehyde electro-oxidation with anodic hydrogen production

Nature Communications
The low-potential aldehyde oxidation reaction can occur at low potential (~0 VRHE) and release H2 at the anode, enabling hydrogen production with less than one-tenth of the energy consumption required for water splitting.
Ming Yang, Yimin Jiang, Chung-Li Dong, Leitao Xu, Yutong Huang, Shifan Leng, Yandong Wu, Yongxiang Luo, Wei Chen, Ta Thi Thuy Nga, Shuangyin Wang, Yuqin Zou   +11 more
doaj   +1 more source

Integrating surface‐enhanced Raman scattering with machine learning: Pioneering a comprehensive diagnostic and therapeutic platform for cancer management

Interdisciplinary Medicine, EarlyView.
Integrating Surface‐Enhanced Raman Scattering (SERS) with machine learning creates a powerful platform for cancer management. This approach enhances diagnostic precision through non‐invasive molecular fingerprinting and enables real‐time therapeutic monitoring. By combining SERS with machine learning, it offers a comprehensive solution for early cancer
Heng‐Zhou He, La Zhang, Yi‐Lin Wen, Yan‐Yang Wang, Jun‐Yan Zhang, Fei‐Hao Yao, Ji‐Yao Yu, Jing‐Xian Wu, Qi‐Ling Peng, Ning Jiang   +9 more
wiley   +1 more source

Pulse potential mediated selectivity for the electrocatalytic oxidation of glycerol to glyceric acid

Nature Communications
Preventing the deactivation of noble metal-based catalysts due to self-oxidation and poisonous adsorption is a significant challenge in organic electro-oxidation.
Wei Chen, Liang Zhang, Leitao Xu, Yuanqing He, Huan Pang, Shuangyin Wang, Yuqin Zou   +6 more
doaj   +1 more source

Indirect Detection of Swine Influenza Activity in Porcine Blood Using Raman Spectroscopy and Machine Learning

Journal of Biophotonics, EarlyView.
Blood serum from healthy swine, unvaccinated or vaccinated against porcine reproductive and respiratory syndrome, and vaccinated swine infected with H1N1 and H1N2 variants of swine influenza was analyzed using Raman spectroscopy. Partial least squares discriminant analysis and eXtreme gradient boosting discriminant analysis of the acquired spectra ...
Aidan Paul Holman, Axell Rodriguez, Ragd Elsaigh, Roa Elsaigh, Joseph Wilson, Matt H. Cohran, Dmitry Kurouski   +6 more
wiley   +1 more source

Deep learning for Chemometric and non-translational data [PDF]

arXiv, 2019
We propose a novel method to train deep convolutional neural networks which learn from multiple data sets of varying input sizes through weight sharing. This is an advantage in chemometrics where individual measurements represent exact chemical compounds and thus signals cannot be translated or resized without disturbing their interpretation.
arxiv