Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Mohammadi, Mahsa, Khanmohammadi Khorrami, Mohammadreza, Vatanparast, Hamid, Ghasemzadeh, Hossein (2021) Prediction of surface tension of solution in the presence of hydrophilic silica nanoparticle and anionic surfactant by ATR-FTIR spectroscopy and chemometric methods. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 255. 119697 doi:10.1016/j.saa.2021.119697

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitlePrediction of surface tension of solution in the presence of hydrophilic silica nanoparticle and anionic surfactant by ATR-FTIR spectroscopy and chemometric methods
JournalSpectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
AuthorsMohammadi, MahsaAuthor
Khanmohammadi Khorrami, MohammadrezaAuthor
Vatanparast, HamidAuthor
Ghasemzadeh, HosseinAuthor
Year2021 (July)Volume255
PublisherElsevier BV
DOIdoi:10.1016/j.saa.2021.119697Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID16403319Long-form Identifiermindat:1:5:16403319:1
GUID0
Full ReferenceMohammadi, Mahsa, Khanmohammadi Khorrami, Mohammadreza, Vatanparast, Hamid, Ghasemzadeh, Hossein (2021) Prediction of surface tension of solution in the presence of hydrophilic silica nanoparticle and anionic surfactant by ATR-FTIR spectroscopy and chemometric methods. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 255. 119697 doi:10.1016/j.saa.2021.119697
Plain TextMohammadi, Mahsa, Khanmohammadi Khorrami, Mohammadreza, Vatanparast, Hamid, Ghasemzadeh, Hossein (2021) Prediction of surface tension of solution in the presence of hydrophilic silica nanoparticle and anionic surfactant by ATR-FTIR spectroscopy and chemometric methods. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 255. 119697 doi:10.1016/j.saa.2021.119697
In(2021) Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy Vol. 255. Elsevier BV

See Also

These are possibly similar items as determined by title/reference text matching only.

Mohammadi, Mahsa, Khanmohammadi Khorrami, Mohammadreza, Vatani, Ali, Ghasemzadeh, Hossein, Vatanparast, Hamid, Bahramian, Alireza, Fallah, Afshin (2020) Rapid determination and classification of crude oils by ATR-FTIR spectroscopy and chemometric methods. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 232. 118157 doi:10.1016/j.saa.2020.118157
Mohammadi, Mahsa, Khorrami, Mohammadreza Khanmohammadi, Ghasemzadeh, Hossein (2019) ATR-FTIR spectroscopy and chemometric techniques for determination of polymer solution viscosity in the presence of SiO2 nanoparticle and salinity. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 220. 117049 doi:10.1016/j.saa.2019.04.041
Mohammadi, Mahsa, Khanmohammadi Khorrami, Mohammadreza, Vatani, Ali, Ghasemzadeh, Hossein, Vatanparast, Hamid, Bahramian, Alireza, Fallah, Afshin (2021) Genetic algorithm based support vector machine regression for prediction of SARA analysis in crude oil samples using ATR-FTIR spectroscopy. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 245. 118945 doi:10.1016/j.saa.2020.118945
Sadrara, Mina, Khanmohammadi Khorrami, Mohammadreza (2024) Gasoline quality prediction using the alternating conditional expectation (ACE) algorithm and ATR-FTIR. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 310. 123903 doi:10.1016/j.saa.2024.123903
Mohammadi, Mahsa, Khanmohammadi Khorrami, Mohammadreza, Rezaei, Arezoo, Vatanparast, Hamid, Khanmohammadi Khorrami, Mohammad Mahdi (2023) Robust principal component analysis-multivariate adaptive regression splines (rPCA-MARS) model for determining total acid number (TAN) and total base number (TBN) of crude oil samples using attenuated total reflectance fourier transform infrared (ATR-FTIR) spectroscopy. Vibrational Spectroscopy, 129. 103579 doi:10.1016/j.vibspec.2023.103579
Sadrara, Mina, Khorrami, Mohammadreza Khanmohammadi (2023) Principal component analysis–multivariate adaptive regression splines (PCA-MARS) and back propagation-artificial neural network (BP-ANN) methods for predicting the efficiency of oxidative desulfurization systems using ATR-FTIR spectroscopy. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 300. Elsevier BV. 122944 doi:10.1016/j.saa.2023.122944
Juybar, Maryam, Khanmohammadi Khorrami, Mohammadreza, Bagheri Garmarudi, Amir, Zandbaaf, Shima (2020) Determination of acidity in metal incorporated zeolites by infrared spectrometry using artificial neural network as chemometric approach. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 228. 117539 doi:10.1016/j.saa.2019.117539
Zandbaaf, Shima, Reza Khanmohammadi Khorrami, Mohammad, Ghahraman Afshar, Majid (2022) Genetic algorithm based artificial neural network and partial least squares regression methods to predict of breakdown voltage for transformer oils samples in power industry using ATR-FTIR spectroscopy. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 273. 120999 doi:10.1016/j.saa.2022.120999
Babu, Benex K., Manohar Yadav, Murali, Singh, Shantanu, Kumar Yadav, Vijay (2024) Fuel forensics: Recent advancements in profiling of adulterated fuels by ATR-FTIR spectroscopy and chemometric approaches. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 312. 124049 doi:10.1016/j.saa.2024.124049
Rostamnezhad, Fatemeh, Hossein Fatemi, Mohammad (2021) Exploring the interactions of acenaphthene with bovine serum albumin: Spectroscopic methods, molecular modeling and chemometric approaches. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 263. 120164 doi:10.1016/j.saa.2021.120164
Kumar, Naveen, Thomas, S., Tokas, R.B., Kshirsagar, R.J. (2014) Investigation on the adsorption characteristics of sodium benzoate and taurine on gold nanoparticle film by ATR–FTIR spectroscopy. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 118. 614-618 doi:10.1016/j.saa.2013.09.014
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: August 27, 2025 23:46:17
Go to top of page