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Labspec

Manufactured by Horiba
Sourced in United States, Japan

LabSpec is a versatile spectroscopy system designed for laboratory use. It provides high-performance optical analysis capabilities for a wide range of applications. The core function of LabSpec is to enable accurate and reliable spectroscopic measurements and data processing.

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12 protocols using labspec

1

Hyperspectral Imaging Data Analysis

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In the collection of spectra, a cube of hyperspectral data with dimensions M × N × λ, with M and N corresponding to spatial information and λ to spectral information, was generated. The first step was to transfer the data from the equipment software (LabSpec v. 6.7.1.10, Horiba) to the MATLAB workspace (Mathworks, Natick, MA, USA, v. 8.3, 2014). Then, the data cube was unfolded into a two-dimensional array of dimensions MN × λ. In the spectra pre-processing step, the asymmetric least-squares algorithm was used (AsLS; λ = 105 and p = 0.001) [33 (link)], cosmic peaks were removed using the algorithm developed by Sabin et al. (k = 11) [34 (link)], and the spectra were normalized by the unitary length vector. Chemical maps were generated using classical least squares (CLS) with the PLS-Toolbox (Eigenvector Research, Manson, WA, USA, v. 8.6.2).
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2

Raman Spectroscopy of Microbial Cells

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Raman spectra of individual cells in the artificial community or MMB enrichments were acquired using a LabRAM HR Evolution Confocal Raman microscope (Horiba Jobin-Yvon) equipped with a 532 nm laser and 300 grooves/mm diffraction grating. Spectra of cells in the mock community and the MMB enrichments were acquired using a 100× dry objective (NA = 0.90) in the range of 200–3200 cm−1, with 2–4 acquisitions of 10 s each, and a laser power of 4.5 mW. Spectra were processed using LabSpec version 6.5.1.24 (Horiba). The spectra were preprocessed with a Savitsky-Goly smoothing algorithm, baselined, and finally normalized to the maximum intensity within the 2800–3100 cm−1 region. To analyze the degree of deuterium substitution in C-H bonds (%C-D, i.e., (C-Darea/(C-Darea + C-Harea)*100)), the bands assigned to C-D (2040–2300 cm−1) and C-H (2800–3100 cm−1) were calculated using the integration of the specified regions [20 (link)]. Greigite (Fe3S4) was identified by its characteristic peak at 350 cm−1 [39 (link)]. Neither magnetite (Fe3O4; 303, 535, and 665 cm−1 [39 (link)]), nor its laser-induced oxidative product, hematite (Fe2O3; 225, 245, 291, 411, and 671 cm−1 [39 (link)]), were observed.
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3

SERS-Based Mercury Ion Sensing

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SERS spectra were measured by a Renishaw inVia (Renishaw plc, New Mills, UK) with a He-Ne laser at 632.8 nm. Each Raman spectrum was obtained using 5% laser power, one accumulation and the acquisition time was typically 10 s. To detect Hg2+ ion, 1 M mercuric nitrate solution of was diluted to 10−1–10−10 M. Secondly, the probes were marked on the surface and SERS spectra of 3–5 points were recorded (The error bar in all figures is equal to the standard deviation of relative intensity drop of the 3–5 points.). Then, the probes were immersed in 60 µL of 0.1 nM to 100 μM of mercuric nitrate solution, respectively. After 5 min standing, the probes were purged with N2 and SERS spectra of the same points above were recorded. The background correction was processed by LabSpec (HORIBA, Ltd., Kyoto, Japan). To correspond with the actual application situation, every probe was used once and corresponded to one certain concentration.
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4

Bamboo Antibacterial Efficacy: FTIR Analysis

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To determine the effects of change of chemical constituents of bamboo on its antibacterial efficacy following treatment modification, Fourier transform infrared spectroscopy (FTIR) was conducted using an ATR-FTIR, FTIR-4700, and ATR PRO ONE fitted with a diamond prism (Jasco Co., Tokyo, Japan) with a resolution of 4 cm−1 and with 100 scans. Origin (Origin 8.5, OriginLab Co., Northampton, MA, USA) and LabSpec (LabSpec Version 5.58.25 Horiba/Jobin-Yvon, Kyoto, Japan) software were used for spectral analysis and pre-processing of raw data.
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5

Bacterial Species Identification via SERS

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After the preprocessing of the SERS spectral data, the averaged SERS spectrum for each bacterial species was generated via the calculation of the intensities at each Raman shift, while the standard deviations (shaded error bands) were also generated, correspondingly (Fig. 1A). The averaged SERS spectra were then imported into the LabSpec software (HORIBA Scientific, Japan), and the Gauss-Loren Function was recruited to find the characteristic peaks in each averaged SERS spectrum by using the Search operation. The parameters were set as level (%) = 9, size (pnt) = 30, and iteration = 5. We then used a dot matrix to display the distributions of the characteristic peaks for each spectrum (Fig. 1B) and specified the biological meanings of the characteristic peaks for the 30 bacterial species by referring to the literature (Table S2).
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6

Raman Spectroscopic Mapping of Samples

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Raman spectra were collected at room temperature by means of a triple monochromator (T-64000, Jobin-Ivon/Horiba Group, Kyoto, Japan) equipped with a charge-coupled device (CCD) detector. The spectra were analyzed by commercially available software (LabSpec, Hori-ba/Jobin-Yvon, Kyoto, Japan). The excitation source was a 532 nm Nd:YVO4 diode pumped solid-state laser (SOC JUNO, Showa Optronics Co. Ltd., Tokyo, Japan) operating with a nominal power of 200 mW. The lateral resolution of the Raman microprobe was on the order of 1 µm. Series of 250 µm × 250 µm square maps (composed of 21 × 21 data points each) were collected from each investigated area. The acquired spectra were then analyzed, and maps acquired at different locations merged to produce macroscopic maps covering large portions of the sample surface. In-depth profiles were also generated using one square map of the above size probed to a specific depth.
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7

Raman Spectroscopy Using HORIBA XploRA

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A HORIBA XploRA instrument with 532 nm laser wavelength and ×100/0.75 NA objective in confocal mode was used for Raman spectroscopy. Spectra were obtained using the HORIBA LabSpec software set at 1 s laser exposure and resulting in ∼3.5 mW power at the sample with each measurement averaged over 40 spectral acquisitions.
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8

Micro-Raman Imaging Data Analysis

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The instrumentation software LabSpec (Horiba Jobin Yvon) was utilised to setup and control the micro-Raman system. The .ngc file, which is the format of the original Raman imaging data, was converted to .mat file for further data processing. Our software, APRI, is available as a Matlab script. The open-source code for APRI is available in Supplementary Materials.
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9

Thermal Effects on Bamboo Constituents

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The effect of thermal modification on the cellular constituents of bamboo was assessed from FTIR spectroscopy. FTIR analysis was performed by attenuated total reflection Fourier transform infrared spectroscopy (ATR-FTIR, FTIR-4700 with ATR PRO ONE fitted with a diamond prism; Jasco Co., Tokyo, Japan) which had a resolution of 4 cm−1 and including 100 scans. Spectral acquisition and pre-processing of raw data by baseline subtraction, smoothing, normalization and fitting methods were conducted in commercial software (Origin 8.5, OriginLab Co., Northampton, MA, USA, and LabSpec, Horiba/Jobin-Yvon, Kyoto, Japan).
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10

Raman Spectroscopy of Diverse Samples

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Raman spectra of the samples were collected with the aid of triple monochromator (T-64000, Jobin-Ivon/Horiba Group, Kyoto, Japan) equipped with a charge coupled device (CCD) detector. The excitation source used is 532 nm Nd:YVO4 diode pumped solid-state laser (SOC JUNO, Showa Optronics Co. Ltd., Tokyo, Japan). In total, 25 randomly picked locations were investigated with spectrograph center wavelength 2500 cm−1, grating 300 gr/mm, exposure time 4 s and average of 3. The resulting spectra were averaged. Raman spectral acquisition and pre-processing of raw data such as baseline subtraction, smoothing, normalization and fitting were acquired utilizing commercially available software (LabSpec, Horiba/Jobin-Yvon, Kyoto, Japan and Origin 8.5, OriginLab Co., Northampton, MA, USA).
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