Steven M. E. Demers
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Steven M. E. Demers has a total of 44 co-authors. Here are the top co-authors by number of shared publications:
Douglas Hunter
Savannah River National Laboratory (SRNL), Aiken, SC (United States)
3 shared publicationsAiken Savannah River National Laboratory (Srnl)
2 shared publications- Kaitlin Coopersmith
Savannah River National Laboratory
2 shared publications Katherine L. Broadwater
Savannah River National Laboratory, P.O. Box A, Aiken, South Carolina 29808, United States
2 shared publicationsManual Manard
Nevada National Security Site (NNSS), Santa Barbara, CA (United States). Special Technologies Laboratory (STL)
2 shared publicationsMark Morey
Nevada National Security Site (NNSS), Santa Barbara, CA (United States). Special Technologies Laboratory (STL)
2 shared publications
Latest Publications
- 16 October 2026
- Published by Wiley in Rapid Communications in Mass Spectrometry
- Vol. 40 (24)
Targeted and Non‐Targeted Analysis of Novel and Legacy Per and Polyfluoroalkyl Substances in River Water by Direct Analysis in Real Time Mass Spectrometry
Rationale: Because of their ubiquity in the environment and adverse health effects, per and polyfluoroalkyl substances (PFAS) are a growing area of concern to the public and regulatory agencies. The continued development of novel replacement PFAS necessitates the development of new methods to screen for these compounds. In this work, we demonstrate a method to detect multiple classes of PFAS including legacy PFAS, precursor compounds, and replacement compounds. Methods: Compounds were adsorbed to octadecylamine then analyzed by direct analysis in real time (DART) coupled with time‐of‐flight (TOF) mass spectrometry. Sixteen PFAS were analyzed from six distinct classes including perfluorinated carboxylic acids (PFCAs), perfluorinated sulfonic acids (PFSAs), per and polyfluoroalkyl ether carboxylic acids (PFECAs), polyfluoroalkyl ether sulfonic acids (PolyFESAs), fluorotelomer alcohol (FTOH), and perfluorooctane sulfonamidoacetic acid (FOSAA). These represent the classes considered in EPA method 537.1 and an additional important precursor class. Results: All six of the compound classes considered were successfully detected with this DART high resolution mass spectrometry (HRMS) method. Calculated lower limits of quantification ranged from 10 to 300 ng/L and were influenced by water matrix. The use of DART avoided instrumental background from solvents and tubing which is an established issue in liquid chromatography (LC) methods. DART–HRMS was also found to avoid false positives from compounds of similar molecular weights present in natural waters. Conclusions: The findings of this work fill an important gap in PFAS analysis by enabling screening for many known classes of PFAS. Furthermore, this method is anticipated to be able to analyze additional classes of PFAS as future replacement chemicals are produced, allowing for a more comprehensive analysis to be completed.
- 16 October 2026
- Published by Wiley in Rapid Communications in Mass Spectrometry
- Vol. 40 (24)
Targeted and Non‐Targeted Analysis of Novel and Legacy Per and Polyfluoroalkyl Substances in River Water by Direct Analysis in Real Time Mass Spectrometry
Rationale: Because of their ubiquity in the environment and adverse health effects, per and polyfluoroalkyl substances (PFAS) are a growing area of concern to the public and regulatory agencies. The continued development of novel replacement PFAS necessitates the development of new methods to screen for these compounds. In this work, we demonstrate a method to detect multiple classes of PFAS including legacy PFAS, precursor compounds, and replacement compounds. Methods: Compounds were adsorbed to octadecylamine then analyzed by direct analysis in real time (DART) coupled with time‐of‐flight (TOF) mass spectrometry. Sixteen PFAS were analyzed from six distinct classes including perfluorinated carboxylic acids (PFCAs), perfluorinated sulfonic acids (PFSAs), per and polyfluoroalkyl ether carboxylic acids (PFECAs), polyfluoroalkyl ether sulfonic acids (PolyFESAs), fluorotelomer alcohol (FTOH), and perfluorooctane sulfonamidoacetic acid (FOSAA). These represent the classes considered in EPA method 537.1 and an additional important precursor class. Results: All six of the compound classes considered were successfully detected with this DART high resolution mass spectrometry (HRMS) method. Calculated lower limits of quantification ranged from 10 to 300 ng/L and were influenced by water matrix. The use of DART avoided instrumental background from solvents and tubing which is an established issue in liquid chromatography (LC) methods. DART–HRMS was also found to avoid false positives from compounds of similar molecular weights present in natural waters. Conclusions: The findings of this work fill an important gap in PFAS analysis by enabling screening for many known classes of PFAS. Furthermore, this method is anticipated to be able to analyze additional classes of PFAS as future replacement chemicals are produced, allowing for a more comprehensive analysis to be completed.
- 8 October 2026
- Published by SPIE-Intl Soc Optical Eng
- p. 43
Growth and characterization of Cs2HfCl6 and Cs2Hf1-xZrxCl6 grown by the vertical Bridgman technique
The self-activated cesium hafnium chloride (CHC) scintillator with cubic crystal structure is attracting tremendous attention due to its various advantages. Being self-activated, CHC offers uniform scintillator properties along the entire volume of the grown ingots irrespective of their sizes. The added advantage is excellent non-proportionality compared to other inorganic scintillators. There are wide variations of energy resolution values reported in the literature, the variations might be due to the different purity of the starting materials. In recent years, cesium zirconium chloride (CZC) scintillator and mixed scintillators with CHC are also gaining interest, as the atomic radius of Hf and Zr are equal. However, very limited information is available on the scintillator properties of CZC and CHZC in the literature. In this presentation, we will discuss the growth and characterization of CHC and CHZC scintillators grown by the vertical Bridgman technique. Our study shows the partial replacement of Hf by Zr improves the energy resolution compared to CHC grown by same growth parameters and purity of the starting material.
- 8 October 2026
- Published by SPIE-Intl Soc Optical Eng
- p. 43
Growth and characterization of Cs2HfCl6 and Cs2Hf1-xZrxCl6 grown by the vertical Bridgman technique
The self-activated cesium hafnium chloride (CHC) scintillator with cubic crystal structure is attracting tremendous attention due to its various advantages. Being self-activated, CHC offers uniform scintillator properties along the entire volume of the grown ingots irrespective of their sizes. The added advantage is excellent non-proportionality compared to other inorganic scintillators. There are wide variations of energy resolution values reported in the literature, the variations might be due to the different purity of the starting materials. In recent years, cesium zirconium chloride (CZC) scintillator and mixed scintillators with CHC are also gaining interest, as the atomic radius of Hf and Zr are equal. However, very limited information is available on the scintillator properties of CZC and CHZC in the literature. In this presentation, we will discuss the growth and characterization of CHC and CHZC scintillators grown by the vertical Bridgman technique. Our study shows the partial replacement of Hf by Zr improves the energy resolution compared to CHC grown by same growth parameters and purity of the starting material.
- Open Access
- 20 March 2026
- Published by Office of Scientific and Technical Information (OSTI)
Historical Record of Tritium in Tree Cores at the Savannah River Site [SLIDES]
- 20 March 2026
- Published by Office of Scientific and Technical Information (OSTI)
Open AccessHistorical Record of Tritium in Tree Cores at the Savannah River Site [SLIDES]
- 20 November 2025
- Published by Office of Scientific and Technical Information (OSTI)
Zeolites and Metal Organic Frameworks for Noble Gas Separation
- 20 November 2025
- Published by Office of Scientific and Technical Information (OSTI)
Zeolites and Metal Organic Frameworks for Noble Gas Separation
- Open Access
- 16 September 2025
- Published by Office of Scientific and Technical Information (OSTI)
Understanding MOF Gas Entrapment Through Modeling
- 16 September 2025
- Published by Office of Scientific and Technical Information (OSTI)
Open AccessUnderstanding MOF Gas Entrapment Through Modeling
- Open Access
- 30 October 2024
- Published by MDPI AG in Nanomaterials
- Vol. 14 (21) , 1741
Optimization and Multimachine Learning Algorithms to Predict Nanometal Surface Area Transfer Parameters for Gold and Silver Nanoparticles
Interactions between gold metallic nanoparticles and molecular dyes have been well described by the nanometal surface energy transfer (NSET) mechanism. However, the expansion and testing of this model for nanoparticles of different metal composition is needed to develop a greater variety of nanosensors for medical and commercial applications. In this study, the NSET formula was slightly modified in the size-dependent dampening constant and skin depth terms to allow for modeling of different metals as well as testing the quenching effects created by variously sized gold, silver, copper, and platinum nanoparticles. Overall, the metal nanoparticles followed more closely the NSET prediction than for Förster resonance energy transfer, though scattering effects began to occur at 20 nm in the nanoparticle diameter. To further improve the NSET theoretical equation, an attempt was made to set a best-fit line of the NSET theoretical equation curve onto the Au and Ag data points. An exhaustive grid search optimizer was applied in the ranges for two variables, and , representing the metal dampening constant and the orientation of donor to the metal surface, respectively. Three different grid searches, starting from coarse (entire range) to finer (narrower range), resulted in more than one million total calculations with values and . The results improved the calculation, but further analysis needed to be conducted in order to find any additional missing physics. With that motivation, two artificial intelligence/machine learning (AI/ML) algorithms, multilayer perception and least absolute shrinkage and selection operator regression, gave a correlation coefficient, , greater than , indicating that the small dataset was not overfitting and was method-independent. This analysis indicates that an investigation is warranted to focus on deeper physics informed machine learning for the NSET equations.- 30 October 2024
- Published by MDPI AG in Nanomaterials
- Vol. 14 (21) , 1741
Open AccessOptimization and Multimachine Learning Algorithms to Predict Nanometal Surface Area Transfer Parameters for Gold and Silver Nanoparticles
Interactions between gold metallic nanoparticles and molecular dyes have been well described by the nanometal surface energy transfer (NSET) mechanism. However, the expansion and testing of this model for nanoparticles of different metal composition is needed to develop a greater variety of nanosensors for medical and commercial applications. In this study, the NSET formula was slightly modified in the size-dependent dampening constant and skin depth terms to allow for modeling of different metals as well as testing the quenching effects created by variously sized gold, silver, copper, and platinum nanoparticles. Overall, the metal nanoparticles followed more closely the NSET prediction than for Förster resonance energy transfer, though scattering effects began to occur at 20 nm in the nanoparticle diameter. To further improve the NSET theoretical equation, an attempt was made to set a best-fit line of the NSET theoretical equation curve onto the Au and Ag data points. An exhaustive grid search optimizer was applied in the ranges for two variables, and , representing the metal dampening constant and the orientation of donor to the metal surface, respectively. Three different grid searches, starting from coarse (entire range) to finer (narrower range), resulted in more than one million total calculations with values and . The results improved the calculation, but further analysis needed to be conducted in order to find any additional missing physics. With that motivation, two artificial intelligence/machine learning (AI/ML) algorithms, multilayer perception and least absolute shrinkage and selection operator regression, gave a correlation coefficient, , greater than , indicating that the small dataset was not overfitting and was method-independent. This analysis indicates that an investigation is warranted to focus on deeper physics informed machine learning for the NSET equations. - Open Access
- 9 June 2023
- Published by American Chemical Society (ACS) in ACS Omega
- Vol. 8 (25) , 23017-23023
Quantum Dot–DNA FRET Conjugates for Direct Analysis of Methylphosphonic Acid in Complex Media
Rapid detection of nerve agents from complex matrices with minimal sample preparation is essential due to their high toxicity and bioavailability. In this work, quantum dots (QDs) were functionalized with oligonucleotide aptamers that specifically targeted a nerve agent metabolite, methylphosphonic acid (MePA). These QD-DNA bioconjugates were covalently linked to quencher molecules to form Förster resonance energy transfer (FRET) donor–acceptor pairs that quantitatively measure the presence of MePA. Using the FRET biosensor, the MePA limit of detection was 743 nM in artificial urine. A decrease in the QD lifetime was measured upon DNA binding and was recovered with MePA. The biosensor’s flexible design makes it a strong candidate for the rapid detection of chemical and biological agents for deployable, in-field detectors.
- 9 June 2023
- Published by American Chemical Society (ACS) in ACS Omega
- Vol. 8 (25) , 23017-23023
Open AccessQuantum Dot–DNA FRET Conjugates for Direct Analysis of Methylphosphonic Acid in Complex Media
Rapid detection of nerve agents from complex matrices with minimal sample preparation is essential due to their high toxicity and bioavailability. In this work, quantum dots (QDs) were functionalized with oligonucleotide aptamers that specifically targeted a nerve agent metabolite, methylphosphonic acid (MePA). These QD-DNA bioconjugates were covalently linked to quencher molecules to form Förster resonance energy transfer (FRET) donor–acceptor pairs that quantitatively measure the presence of MePA. Using the FRET biosensor, the MePA limit of detection was 743 nM in artificial urine. A decrease in the QD lifetime was measured upon DNA binding and was recovered with MePA. The biosensor’s flexible design makes it a strong candidate for the rapid detection of chemical and biological agents for deployable, in-field detectors.
- 13 February 2023
- Published by American Chemical Society (ACS) in The Journal of Physical Chemistry C
- Vol. 127 (7) , 3800-3807
Investigating the Effects of Ag, Cu, and Pd Functionalized Chabazite on the Adsorption Affinities of Noble Gases Xe, Kr, and Ar
- 13 February 2023
- Published by American Chemical Society (ACS) in The Journal of Physical Chemistry C
- Vol. 127 (7) , 3800-3807
Investigating the Effects of Ag, Cu, and Pd Functionalized Chabazite on the Adsorption Affinities of Noble Gases Xe, Kr, and Ar
- 13 January 2023
- Published by American Chemical Society (ACS) in The Journal of Physical Chemistry C
- Vol. 127 (3) , 1598-1606
Investigating the Role of Silver Oxidation State on the Thermodynamic Interactions between Xenon and Silver-Functionalized Zeolites
- 13 January 2023
- Published by American Chemical Society (ACS) in The Journal of Physical Chemistry C
- Vol. 127 (3) , 1598-1606
Investigating the Role of Silver Oxidation State on the Thermodynamic Interactions between Xenon and Silver-Functionalized Zeolites