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Omnic picta

Manufactured by Thermo Fisher Scientific
Sourced in United States

The Omnic Picta is a software package designed for use with Thermo Scientific's Nicolet spectrometers. It provides a comprehensive platform for data collection, analysis, and reporting.

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8 protocols using omnic picta

1

ATR-FTIR Analysis of Samples

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The IR spectra were acquired using a Thermo Scientific Nicolet iS50 (Thermo Fischer Scientific, Waltham, MA, USA) spectrometer equipped with a liquid nitrogen-cooled mercury cadmium telluride detector. Measurements were performed using the attenuated total reflectance (ATR) mode, in the range of 4000–400 cm−1 and at a resolution of 4 cm−1, at room temperature. For each sample, the OmnicPicta (8.2.0.387 Thermo Nicolet, Thermo Fischer Scientific, Waltham, MA, USA) was used for the co-addition and processing of 64 scans.
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2

Fourier-Transform Infrared Microscopy

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A Nicolet iN10 MX FT-IR microscope equipped with an MCT liquid-nitrogen-cooled detector was used to record IR mappings. All measurements were made in the range of 4000–700 cm−1. The spectral collection was conducted in reflection mode at 4 cm−1 resolution. For each spectrum, 32 individual scans were co-added and converted to absorbance by using the Omnic Picta dedicated software from Thermo Scientific (Waltham, MA, USA).
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3

Spectral Analysis of Tentacle Samples

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Spectra were obtained directly from Thermo Scientific Omnic Picta (v.9.7.0.39) with map files being split and exported as individual CSVs. Spectral analysis was carried out using Quasar v.1.4.0 (https://quasar.codes). All spectra collected were normalized using SNV (standard normal variate), to account for variations in sample thickness. Spectra were either analysed as a whole from 4000 to 650 cm−1, or specifically within the lipid region 3000–2800 cm−1; CO2 bands were removed from data analysis. Amide regions were not studied separately owing to variation in sample thickness of tentacle heads, particularly in young samples, impacting spectral band shape in that region.
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4

Mapping of Microcrystalline Cellulose in Tablet Formulations

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The LVODT and LVT formulation surfaces were carefully thinly scraped and used for subsequent measurements. A NICOLET iN10 IR microscope (Thermo Scientific, Yokohama, Japan) was used to collect the IR spectra of the tablet formulations using the reflection method. The background was measured on gold, and sample scans were recorded at a spectral resolution of 8 cm−1 with 16 scans in a range of 4000–675 cm−1. Data were analyzed using the OMNIC Picta chemical imaging software (PN:81032530, Thermo Scientific). Mapping was performed using the peak area from 1700 cm−1 to 1800 cm−1 (PA1700–1800, Map 1) and correlated to the indices of the standard spectrum of MCC (CRMCC, Map 2).
The mapping conditions included an aperture size of 100 µm × 100 µm; step size, 100 µm; and measurement area, 2000 µm × 2000 µm (number of measurement points: 20 point × 20 point).
The standard IR spectra of LV and MCC were measured in “spectrum mode” under the same conditions described above.
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5

UV-vis and FTIR Characterization of Liquid and Nanoparticle Samples

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The UV-vis measurements were carried out with a V-550 spectrophotometer (Jasco Inc., Easton, MD, USA). Fourier-transform infrared (FTIR) spectra reported were recorded using an iN™10 FTIR microscope spectrometer (Thermo Fisher Scientific, Waltham, MA, USA) equipped with a narrow-band liquid nitrogen-cooled mercury cadmium telluride A (MCT-A) detector. All single-beam spectra were measured against a background recorded from gold. Appropriate backgrounds were obtained for each series of measurements. The spectra were recorded in the range from 4,000 to 700 cm−1, at 2 cm−1 resolution with 16 scans; the area of detection was 25×25 mm.
FTIR data were collected using Omnic Picta™ (Thermo Fisher Scientific) software. After collection, automatic atmospheric suppression (to minimize infrared (IR) absorption by CO2 and water vapor in ambient air) and automatic baseline correction were used. For preparation of the FTIR samples, 5 mL of the liquid samples was put on an alumina-coated glass slide and dried under vacuum overnight at room temperature. GNP samples were washed twice with DDW before placing on the slide.
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6

Microplastic Identification using Micro-FTIR

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Chemical identifications of microparticles were done using micro-FTIR. All targeted particles on filters were analyzed using an FTIR microscope (Nicolet iN10; Thermo Fisher Scientific) in transmission mode with the following parameters: 30 μm × 30 μm square field aperture, 8 cm−1 spectral resolution, 64 scans, and 1250–3600 cm−1 spectral range. The obtained FTIR spectra were then compared with the commercial spectral databases of standard polymers (Hummel Polymer sample Library and HR Polymer and additives) and also with open-access libraries designed for microplastic research, which includes spectra of aged plastics31 (link)–34 (link), using spectroscopy software (OMNIC Picta; Thermo Fisher Scientific). Spectra with a match of < 60% were rejected. When returning a spectral match of > 60%, an additional visual examination of spectra was performed manually, leading to final acceptance or rejection35 (link)–37 (link). FTIR spectra of typical particles are presented in Fig. 2k–t. Although some anthropogenic cellulosic fibers such as rayon were detected (e.g. Fig. 2j,t), these are not classified as plastics but as celluloses for these analyses.
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7

Spectroscopic Analysis of Epithelial Tissue

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Spectroscopic analysis was performed on samples with an existing H&E stained core duplicate which presented either cancerous or healthy epithelial tissue. Twenty spectra were obtained from the epithelial tissue of each sample. The spectral collection was performed using an iN10 MX Nicolet Infrared Imaging Microscope using the reflection mode with a This is an Accepted Manuscript of an article published by Taylor & Francis in Applied spectroscopy reviews on 10.11.2020, available at http://www.tandfonline. com/10.1080/05704928.2020.1843471 7 gold plate background and a KBr beamsplitter. Spectra were acquired by accumulating 16 number of scans, at 8.0 cm -1 resolution by using a liquid nitrogen-cooled MCT-A detector in the 4000-675 cm -1 spectral range. All the spectral data was corrected using the Kramers-Kronig correction by OMNIC™ Picta™ (Thermo Scientific, USA) software.
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8

Characterization of Cinnarizine and Captisol Films

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A FTIR spectrophotometer (Two Perkin Elmer, USA) was used in combination with a crystal diamond universal attenuated total reflectance (UATR) to characterize pure CIP and pure CA as well as the BLK and DL films. Samples were placed to cover the crystal and the metal tip turned around in order to allow intimate contact of the samples with the crystal.
Spectra were recorded in transmission mode between 650 and 4000 cm -1 at a resolution of 4 cm -1 (4 scans per spectrum). A background spectrum was taken before analysing the samples to calibrate the instrument. IR mapping of the surface of the films was performed using a Nicolet™ iN™ 10 MX Infrared Imaging Microscope (Thermo Fisher Scientific, USA) equipped with OMNIC™ Picta™ to investigate the chemical distribution of materials within the polymeric films. Liquid nitrogen was poured into the system to analyse the samples with cooled detector in the measurement range 4000-650 cm -1 and spectra were collected in reflection mode with 3s collection time. For each spectrum, 70 spots and 16 scans were combined. Four characteristic peaks for the films (CA-BLK and CA-DL) were selected as spectral markers of pure CA.
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