Sena MM - Search Results

1

Unraveling surface-enhanced Raman spectroscopy results through chemometrics and machine learning: principles, progress, and trends.

Dos Santos DP, Sena MM, Almeida MR, Mazali IO, Olivieri AC, Villa JEL. Dos Santos DP, et al. Among authors: sena mm. Anal Bioanal Chem. 2023 Jul;415(18):3945-3966. doi: 10.1007/s00216-023-04620-y. Epub 2023 Mar 3. Anal Bioanal Chem. 2023. PMID: 36864313 Free PMC article. Review.

2

Ring-hydrogen participation in the keto--enol isomerization of the acetophenone radical cation.

Sena M, Riveros JM. Sena M, et al. Chemistry. 2000 Mar 3;6(5):785-93. doi: 10.1002/(sici)1521-3765(20000303)6:5<785::aid-chem785>3.0.co;2-x. Chemistry. 2000. PMID: 10826600

3

Direct determination of propranolol in urine by spectrofluorimetry with the aid of second order advantage.

Silva LC, Trevisan MG, Poppi RJ, Sena MM. Silva LC, et al. Among authors: sena mm. Anal Chim Acta. 2007 Jul 9;595(1-2):282-8. doi: 10.1016/j.aca.2006.12.027. Epub 2006 Dec 23. Anal Chim Acta. 2007. PMID: 17606011

4

A quantum chemical and chemometrical study of indolo[2,1-b]quinazoline and their analogues with cytotoxic activity against breast cancer cells.

Camargo LT, Sena MM, Camargo AJ. Camargo LT, et al. Among authors: sena mm. SAR QSAR Environ Res. 2009 Jul;20(5-6):537-49. doi: 10.1080/10629360903278800. SAR QSAR Environ Res. 2009. PMID: 19916113

5

Discrimination between conventional and omega-3 fatty acids enriched eggs by FT-Raman spectroscopy and chemometric tools.

de Oliveira Mendes T, Porto BLS, Almeida MR, Fantini C, Sena MM. de Oliveira Mendes T, et al. Among authors: sena mm. Food Chem. 2019 Feb 1;273:144-150. doi: 10.1016/j.foodchem.2017.12.084. Epub 2017 Dec 27. Food Chem. 2019. PMID: 30292360

6

Development and analytical validation of a screening method for simultaneous detection of five adulterants in raw milk using mid-infrared spectroscopy and PLS-DA.

Botelho BG, Reis N, Oliveira LS, Sena MM. Botelho BG, et al. Among authors: sena mm. Food Chem. 2015 Aug 15;181:31-7. doi: 10.1016/j.foodchem.2015.02.077. Epub 2015 Feb 20. Food Chem. 2015. PMID: 25794717

7

Screening method for the rapid detection of diethylene glycol in beer based on chemometrics and portable near-infrared spectroscopy.

Fulgêncio ACC, Resende GAP, Teixeira MCF, Botelho BG, Sena MM. Fulgêncio ACC, et al. Among authors: sena mm. Food Chem. 2022 Oct 15;391:133258. doi: 10.1016/j.foodchem.2022.133258. Epub 2022 May 20. Food Chem. 2022. PMID: 35640334 Free article.

8

Development and analytical validation of a simple multivariate calibration method using digital scanner images for sunset yellow determination in soft beverages.

Botelho BG, de Assis LP, Sena MM. Botelho BG, et al. Among authors: sena mm. Food Chem. 2014 Sep 15;159:175-80. doi: 10.1016/j.foodchem.2014.03.048. Epub 2014 Mar 18. Food Chem. 2014. PMID: 24767041 Free article.

9

Combining mid infrared spectroscopy and paper spray mass spectrometry in a data fusion model to predict the composition of coffee blends.

Assis C, Pereira HV, Amador VS, Augusti R, de Oliveira LS, Sena MM. Assis C, et al. Among authors: sena mm. Food Chem. 2019 May 30;281:71-77. doi: 10.1016/j.foodchem.2018.12.044. Epub 2018 Dec 19. Food Chem. 2019. PMID: 30658767

10

A data fusion model merging information from near infrared spectroscopy and X-ray fluorescence. Searching for atomic-molecular correlations to predict and characterize the composition of coffee blends.

Assis C, Gama EM, Nascentes CC, de Oliveira LS, Anzanello MJ, Sena MM. Assis C, et al. Among authors: sena mm. Food Chem. 2020 Apr 30;325:126953. doi: 10.1016/j.foodchem.2020.126953. Online ahead of print. Food Chem. 2020. PMID: 32387940

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