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[Open Access]
Anomalous formation of carbon-related defects during high temperature Ar annealing in 4H-SiC enhanced by prior thermal oxidation
2025 Appl. Phys. Express 18 101001

iopscience.iop.org/article/10.3...

#APEX
#OpenAccess
#Physics
#SiC
#FTIR
#oxidation
#annealing
#carbon
#defect

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Abstract:  Liquid biopsy is revolutionizing cancer management, with circulating tumor cells (CTCs), offering a transformative approach to screening, diagnosis, and treatment monitoring. However, existing CTC isolation methods relying on antigen expression or physical properties lack robustness, are operator-dependent, and suffer from automation challenges, leading to inconsistent and time-intensive analyses. A universal, unbiased methodology for CTC detection across tumor types is critically needed. Here, we present the first proof-of-concept study demonstrating the use of Fourier transform infrared (FT-IR) microspectroscopy to study cytospun blood samples coupled with a random forest (RF) classifier, for the detection of a single CTC in the blood of a lung cancer patient as confirmed via immunohistochemistry. Notably, our method utilizes glass coverslips as substrates, routinely employed in pathology departments, enabling seamless integration with histopathological analyses (e.g., staining, immunohistochemistry). Using FT-IR spectral data from in vitro growing lung cancer cells as a training model, we achieved precise CTC identification based on biochemical composition, specifically within the fingerprint region (1800 cm–1 to 1350 cm–1). This study introduces FT-IR microspectroscopy as a novel, label-free approach for CTCs detection in liquid biopsies, with the potential to redefine cancer diagnostics. By enhancing precision and accessibility in CTC identification, the clinical implementation of this methodology may represent a significant advancement in personalized oncology, offering a clinically viable tool for real-time cancer monitoring and improved patient stratification.

Abstract: Liquid biopsy is revolutionizing cancer management, with circulating tumor cells (CTCs), offering a transformative approach to screening, diagnosis, and treatment monitoring. However, existing CTC isolation methods relying on antigen expression or physical properties lack robustness, are operator-dependent, and suffer from automation challenges, leading to inconsistent and time-intensive analyses. A universal, unbiased methodology for CTC detection across tumor types is critically needed. Here, we present the first proof-of-concept study demonstrating the use of Fourier transform infrared (FT-IR) microspectroscopy to study cytospun blood samples coupled with a random forest (RF) classifier, for the detection of a single CTC in the blood of a lung cancer patient as confirmed via immunohistochemistry. Notably, our method utilizes glass coverslips as substrates, routinely employed in pathology departments, enabling seamless integration with histopathological analyses (e.g., staining, immunohistochemistry). Using FT-IR spectral data from in vitro growing lung cancer cells as a training model, we achieved precise CTC identification based on biochemical composition, specifically within the fingerprint region (1800 cm–1 to 1350 cm–1). This study introduces FT-IR microspectroscopy as a novel, label-free approach for CTCs detection in liquid biopsies, with the potential to redefine cancer diagnostics. By enhancing precision and accessibility in CTC identification, the clinical implementation of this methodology may represent a significant advancement in personalized oncology, offering a clinically viable tool for real-time cancer monitoring and improved patient stratification.

New from Applied Spectroscopy!
Fourier Transform Infrared Microspectroscopy as a Liquid Biopsy Tool to Detect Single Circulating Tumour Cells in the Blood of a Lung Cancer Patient
More: https://doi.org/10.1177/00037028251390565
#SAS #Spectroscopy #FTIR #Microspectroscopy #circulating #tumour #cells

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Understanding Polymer Reactions and Degradation with FT-IR and EPR Spectroscopy This webinar will highlight NMR methodology for high-resolution peptide conformation ensembles determination and real-time analysis of oligomerization kinetics

Discover how #EPR and #FTIR spectroscopies enable in-depth understanding of polymer reactions in the free webinar on March 31 at 5 PM CEST (11 AM EDT).
Register here: goto.bruker.com/4rO9vTR

With @Bruker's experts, Alvaro Montoya, Ph.D., and Dr. Sergey Shilov.

#Bruker #Polymer

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Understanding Polymer Reactions and Degradation with FT-IR and EPR Spectroscopy This webinar will highlight NMR methodology for high-resolution peptide conformation ensembles determination and real-time analysis of oligomerization kinetics

Learn how #FTIR & #EPR spectroscopies enable an in‑depth understanding of #polymer reactions.
Join Dr. Montoya and Dr. Shilov on March 31 at 5 PM CEST (11 AM EDT) for “Understanding Polymer Reactions and Degradation with FT‑IR and EPR Spectroscopy”.

Register here: goto.bruker.com/4aTgnIf

#Bruker

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#GrassResearch
Check out the latest findings on using FTIR spectrometry to assess the nutritional quality and cell wall composition of Cenchrus spp, opening new avenues for improving forage crops!
Details: maxapress.com/article/doi/10.48130/gra...
#FTIR #agriculture

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IFPAC 2026 IFPAC continues to set precedence as a forum for insightful discussions bringing you the latest trends and real-life applications in the fields of Quality by Design, Process Analytical Technology, Eme...

Don't miss the talks by Alejandro Bara Estaún and Kyle Rodriguez during IFPAC 2026 on March 1-4 in North Bethesda, MD.
Learn more: goto.bruker.com/4qP2H6N

See you at booth 502!

#IFPAC #IFPAC2026 #IFPACglobal #Pharma #NMR #FTIR

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📢Seminario en el ICP-CSIC
🔬 ¿Qué puede aportar la microscopía infrarroja en sincrotrón a la catálisis y la electroquímica? El próximo 18 de febrero recibimos al Dr. Ibraheem Yousef, responsable de la línea MIRAS en ALBA Synchrotron
#SeminariosICP #Catálisis #FTIR #Sincrotrón #ALBA #CSIC

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Abstract:   We present the first implementation of complex-valued classical least squares (CLS) regression in spectroscopy. Although the results indicate that complex-valued CLS does not outperform methods that utilize only the more suitable part of the complex refractive index spectra, it includes an error detection feature that enables a self-correction mechanism. This mechanism decreases the mean absolute error (MAE) to approximately 26% relative to using only the mid-infrared (MIR) absorption index (k) spectra for CLS, and to about 46% relative to using only the MIR refractive index (n) spectra of benzene–toluene mixtures. For benzene–cyclohexane mixtures, the MAE was reduced to approximately 75% relative to the k spectra and 58% relative to the n spectra. In contrast, for benzene–carbon tetrachloride (CCl4) mixtures, i.e., a system that exhibits particularly large deviations from Beer’s law, no improvement over the n spectra was observed; the n-based MAE was 81% relative to the k spectra. These percentages may further vary based on the complexity of the system, the spectral regions selected for CLS and the corresponding deviations from Beer’s approximation.

Abstract: We present the first implementation of complex-valued classical least squares (CLS) regression in spectroscopy. Although the results indicate that complex-valued CLS does not outperform methods that utilize only the more suitable part of the complex refractive index spectra, it includes an error detection feature that enables a self-correction mechanism. This mechanism decreases the mean absolute error (MAE) to approximately 26% relative to using only the mid-infrared (MIR) absorption index (k) spectra for CLS, and to about 46% relative to using only the MIR refractive index (n) spectra of benzene–toluene mixtures. For benzene–cyclohexane mixtures, the MAE was reduced to approximately 75% relative to the k spectra and 58% relative to the n spectra. In contrast, for benzene–carbon tetrachloride (CCl4) mixtures, i.e., a system that exhibits particularly large deviations from Beer’s law, no improvement over the n spectra was observed; the n-based MAE was 81% relative to the k spectra. These percentages may further vary based on the complexity of the system, the spectral regions selected for CLS and the corresponding deviations from Beer’s approximation.

New from Applied Spectroscopy!
Complex-Valued Chemometrics in Spectroscopy: Classical Least Squares Regression
Read more: https://doi.org/10.1177/00037028251343908
#SAS #Spectroscopy #FTIR #refractive #absorption #index #Least #Squares #Regression

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Abstract:  Sensing with undetected photons has enabled new, unconventional approaches to Fourier transform infrared spectroscopy (FT-IR). Leveraging properties of non-degenerate entangled photon pairs, mid-infrared (mid-IR) information can be accessed in the near-infrared (near-IR) spectral domain to perform mid-IR spectroscopy with silicon-based detection schemes. Here, we address practical aspects of vibrational spectroscopy with undetected photons using a quantum FT-IR (QFT-IR) implementation. The system operates in the spectral range from around 3000 cm−1 to 2380 cm−1 (detection at around 12 500 cm−1) and possesses only 68 pW of mid-IR probing power for spectroscopic measurements with a power-dependence of the signal-to-noise ratio of 1.5 × 10^5 mW−1/2. We evaluate the system’s short- and long-term stability and experimentally compare it to a commercial FT-IR instrument using Allan–Werle plots to benchmark our QFT-IR implementation’s overall performance and stability. In addition, comparative qualitative spectroscopic measurements of polymer thin films are performed using the QFT-IR spectrometer and a commercial FT-IR with identical resolution and integration times. Our results show under which conditions QFT-IR can practically be competitive or potentially outperform conventional FT-IR technology.

Abstract: Sensing with undetected photons has enabled new, unconventional approaches to Fourier transform infrared spectroscopy (FT-IR). Leveraging properties of non-degenerate entangled photon pairs, mid-infrared (mid-IR) information can be accessed in the near-infrared (near-IR) spectral domain to perform mid-IR spectroscopy with silicon-based detection schemes. Here, we address practical aspects of vibrational spectroscopy with undetected photons using a quantum FT-IR (QFT-IR) implementation. The system operates in the spectral range from around 3000 cm−1 to 2380 cm−1 (detection at around 12 500 cm−1) and possesses only 68 pW of mid-IR probing power for spectroscopic measurements with a power-dependence of the signal-to-noise ratio of 1.5 × 10^5 mW−1/2. We evaluate the system’s short- and long-term stability and experimentally compare it to a commercial FT-IR instrument using Allan–Werle plots to benchmark our QFT-IR implementation’s overall performance and stability. In addition, comparative qualitative spectroscopic measurements of polymer thin films are performed using the QFT-IR spectrometer and a commercial FT-IR with identical resolution and integration times. Our results show under which conditions QFT-IR can practically be competitive or potentially outperform conventional FT-IR technology.

New from Applied Spectroscopy!
#Quantum #Fourier #Transform #Infrared #Spectroscopy: Evaluation, #Benchmarking, and Prospects
Read more: https://doi.org/10.1177/00037028251340945
#SAS #Spectroscopy #quantum #FTIR #QFTIR #entangled

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(PDF) Polyphasic characterization and pigment metabolite profiling of Penicillium citreosulfuratum (KUMBASBT-53) from Shivamogga district, Karnataka PDF | On Dec 19, 2025, AKARSH SUBHAKAR and others published Polyphasic characterization and pigment metabolite profiling of Penicillium citreosulfuratum (KUMBASBT-53) from Shivamogga district, Karnata...

Polyphasic characterization and pigment metabolite profiling of Penicillium citreosulfuratum (KUMBASBT-53) from Shivamogga district, Karnataka

#FTIR
#LC–MS
#naturalpigments
#Penicillium
#Polyphasiccharacterization
#Pigmentmetabolites

www.researchgate.net/publication/...

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#FMR
NIR tracks milk blend end point in real time, spots 0.11 % vitamin C, beats lab FTIR. 🥛📡
Details: www.maxapress.com/article/doi/10.48130/FMR...
#ftir #vitaminc #blend #lab

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[2024 OPEN ACCESS]
Investigating the mechanism of SiO2/4H-SiC interface traps passivation by boron incorporation through FT-IR analysis of near-interface SiO2
2024 Appl. Phys. Express 17 081001

iopscience.iop.org/article/10.3...

#APEX
#Physics
#Openaccess
#FTIR
#SiC
#boron
#SiO2

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Video

It’s time to raise the bar for advanced research.
A new gold standard in benchtop #FTIR is on its way. Something designed to push what’s possible in resolution, spectral range, and automation.
Built for the labs that want more and won’t settle for less.

Follow along for the reveal!

#beAstepAhead

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Aerodynamic Laser Levitation Furnace and FTIR Instrument set up

#laboratory #setup #FTIR #instruments
🧪

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Els alumnes del màster d'arqueologia @geohistub.bsky.social han visitat els #CCiTUB @ub.edu

Especialistes en #TEM #DRX #FRX #FTIR #UCGEMA i #RAMAN han introduït la tècnica i aplicacions en el món de l'arqueologia.

Moltes gràcies per la visita!

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Optical, #FTIR and #Raman #microscopy measure MP 2D morphology and number concentrations. To convert MP number to mass concentrations, one multiplies MP counts by density and MP volume, V. Microscope 2D morphology finds that W = 0.67 x L, but does not provide height H or V.

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#MPsizeBase is a tool where you can convert your #FTIR MP number concentrations in the 100-1000um range to the full 1-5000um range, or any other range, such as 1-100um for atmospheric models. You can convert number to mass concentrations and vice versa.

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#MPsizeBase compiles published #microplastic particle size distributions (PSDs), obtained by optical microscopy, #FTIR, #Raman and #pyGCMS. We fit the PSDs with a power law, and extrapolate MP number and mass concentration to a common size range for intercomparison.

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Measurements of MP fragments or fibers target variable size spans within the formal 1 to 5000 µm range, due to different sampling and detection techniques, and are therefore not directly comparable. In the quiz example, #FTIR and #Raman detect 888 and 34 MP/m3 of variable sizes.

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Tablet Release Reinvented: Robotics, Vision, and Spectral Intelligence Content uniformity and assay are critical quality attributes for solid oral dosage forms, yet traditional wet chemistry methods are time consuming and destructive. In this webinar, we’ll showcase the ...

On Nov 20, at 11 am EST (5 pm CET), explore a fully automated workflow that integrates robotic handling, 3D vision, and spectroscopic analysis to enable faster, more accurate non-destructive testing for tablet release.
Register now: goto.bruker.com/42Ssfag

#SciY #Automation #FTIR #DigitalQuality

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Replacement of a single residue in an antibody abolishes cognate antigen binding, as predicted by theoretical methods. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.10.018

Replacement of a single residue in an antibody abolishes cognate antigen binding, as predicted by theoretical methods. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.10.018

🔗 Replacement of a single residue in an antibody abolishes cognate antigen binding, as predicted by theoretical methods. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.cs...

📚 CSBJ: www.csbj.org

#AntibodyEngineering #StructuralBiology #ProteinModeling #Biophysics #FTIR

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[Latest Article : Open Access]
Anomalous formation of carbon-related defects during high temperature Ar annealing in 4H-SiC enhanced by prior thermal oxidation
2025 Appl. Phys. Express 18 101001

iopscience.iop.org/article/10.3...

#APEX
#OpenAccess
#Physics
#SiC
#FTIR
#oxidation
#annealing
#carbon

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Must read if your are interested in:
💡 Role of biological activity & soil structure for #microplastic translocation
💡~ 84% of all microplastics have been vertically translocated & ~ 800,000 MP/kg accumulate in 38 to 45 cm soil depth.
💡Size related microplastic distribution
🔎 #FTIR #Bioturbation

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Heavy Mineral Identification and Quantification Using Fourier Transform Infrared Spectroscopy - Fares Azzam, Thomas Blaise, Jocelyn Barbarand, Hélène Cassagne, Julius Nouet, 2025 We evaluated the application of Fourier transform infrared (FT-IR) microspectroscopy in the mid-IR region (1500–550 cm–1) in reflectance mode as a semi-automate...

New from @appliedspec.bsky.social!

Heavy #Mineral #Identification and #Quantification Using Fourier Transform Infrared #Spectroscopy #FTIR

Read the full article here: https://loom.ly/-H9HviU

#AppliedSpectroscopy #SAS #SpecTacularScience

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