Model spectrum 100

Manufactured by PerkinElmer

Sourced in Japan, United States

The Spectrum 100 is a Fourier Transform Infrared (FTIR) spectrometer designed for versatile laboratory use. It provides high-quality infrared spectral analysis of a wide range of samples. The core function of the Spectrum 100 is to generate and detect infrared radiation, enabling the identification and characterization of organic and inorganic compounds.

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Lab products found in correlation

Eca 600, by JEOL (2 mentions) Model jms 700, by JEOL (2 mentions) Ecz 400, by JEOL (1 mentions) Model iraffinity 1, by Shimadzu (1 mentions) L 6000, by Hitachi (1 mentions) Al 400, by JEOL (1 mentions) P 2300, by Jasco (1 mentions) Avance 3 500 mhz, by Bruker (1 mentions) Silica gel 60 f254 plate, by Merck Group (1 mentions) Origin 9, by OriginLab (1 mentions)

Spelling variants of this product

Spectrum 100 (620 citations) Model 100 (3 citations) Precisely Spectrum 100 Model (2 citations)

8 protocols using model spectrum 100

Infrared Transmittance of Membranes

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The IR transmittance
of the membranes was tested by using Fourier transform IR spectroscopy
with a PerkinElmer model Spectrum 100. The spectra of the membrane
were recorded in the range of 2–18 and 7–14 μm.

Jahid M.A., Hu J, & Thakur S. (2020). Mechanically Robust, Responsive Composite Membrane for a Thermoregulating Textile. ACS Omega, 5(8), 3899-3907.

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Spectroscopic Analysis of Organic Compounds

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IR spectra were recorded using a PerkinElmer Model Spectrum 100 spectrometer (PerkinElmer Japan, Yokohama, Japan) or a Shimadzu Model IRAffinity-1S (Shimadzu, Kyoto, Japan). NMR spectra were recorded in CDCl₃ on a JEOL Model AL-400 or ECZ400 spectrometer (JEOL, Tokyo, Japan) with TMS as an internal standard. MS were recorded on a JEOL Model JMS-700 mass spectrometer (JEOL).

Wada K., Goto M., Shimizu T., Kusanagi N., Mizukami M., Suzuki Y., Li K.P., Lee K.H, & Yamashita H. (2019). Structure–activity relationships and evaluation of esterified diterpenoid alkaloid derivatives as antiproliferative agents. Journal of natural medicines, 73(4), 789-799.

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Spectroscopic Analysis of Compounds

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Melting points were measured on a Yanagimoto micro apparatus without correction. Measurement of optical rotation was carried out on a JASCO P-2300 in CHCl3 solution at 23 °C. IR spectra were recorded using a Perkin-Elmer Model Spectrum 100. ¹H (400 or 600 MHz)- and ¹³C (100 or 150 MHz)-NMR spectra were recorded on a JEOL AL-400 or ECA-600 spectrometer using tetramethylsilane as an internal standard. The chemical shifts are expressed on the δ scale. EI-MS and HREI-MS were measured at 30–60 eV (direct inlet) with a JEOL Model JMS-700 and the relative intensities of peaks are reported with reference to the most intense peak higher than m/z 100. TLC was carried out on pre-coated silica gel 60 (Merck 5554) with n-hexane-EtOAc or CHCl₃-MeOH as the developing phase. Detection was carried out by spraying with concentrated H2SO₄ followed by heating. HPLC was performed on a Hitachi L-6000 equipped with a Hitachi L-7490 RI detector. The following column and solvents were used for elution: Mightysil, RP-18 GP 250–10 (25 cm x 10 mm i.d., 5μm) with MeOH-H₂O or CH₃CN-H₂O.

Yamashita H., Matsuzaki M., Kurokawa Y., Nakane T., Goto M., Lee K.H., Shibata T., Bando H, & Wada K. (2019). Four New Triterpenoids from the Bark of Euonymus alatus forma ciliato-dentatus. Phytochemistry letters, 31, 140-146.

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Adulterant Identification in Edible Bird's Nest

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The authentication and identification of adulterants in EBN were determined by Attenuated total reflectance-Fourier transform infrared spectrometry (ATR-FTIR, Perkin-Elmer Model Spectrum 100, Waltham, MA, USA). One gram of half cup and stripe-shaped EBN sample was subjected to FTIR under a spectral scanning range of 4000~650 cm⁻¹ using a miracle ATR technique. The resulting spectrum was used to interpret the characteristics of the functional groups.

Mohamad Ibrahim R., Mohamad Nasir N.N., Abu Bakar M.Z., Mahmud R, & Ab Razak N.A. (2021). The Authentication and Grading of Edible Bird’s Nest by Metabolite, Nutritional, and Mineral Profiling. Foods, 10(7), 1574.

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Spectroscopic Characterization of Organic Compounds

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Optical rotations were measured on a Jasco Model P-2300 polarimeter (Jasco, Tokyo, Japan). IR spectra were recorded using a PerkinElmer Model Spectrum 100 spectrometer (PerkinElmer Japan, Yokohama, Japan). NMR spectra were recorded in CDCl₃ on a JEOL Model ECZ400 or ECA600 spectrometer (JEOL, Tokyo, Japan) with TMS as an internal standard. MS and HRMS were recorded on a JEOL Model JMS-700 mass spectrometer (JEOL, Tokyo, Japan).

Yamashita H., Miyao M., Hiramori K., Kobayashi D., Suzuki Y., Mizukami M., Goto M., Lee K, & Wada K. (2019). Cytotoxic diterpenoid alkaloid from Aconitum japonicum subsp. subcuneatum. Journal of natural medicines, 74(1), 83-89.

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Chromatographic Isolation and Characterization

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Silica gel of mesh sizes 60-120 and 100-200 (Merck) was used as an adsorbent for column chromatographic isolation of the compounds while the purity of the compounds was determined by analytical TLC using silica gel 60 F 254 plates (Merck) and subsequently visualized using UV light and p-anisaldehyde stain reagent. Infrared spectra were taken with a Perkin Elmer, Model: Spectrum 100. High-resolution electrospray ionization mass spectrometry (HRMS) were recorded on Xevo XS QTof mass spectrometer, Waters ACQUITY UHPLC. Nuclear magnetic resonance spectra were recorded on BRUKER, AVANCE III 500 MHz (Switzerland) 500 MHz
( 1 H) and 125 MHz ( 13 C). Chemical shifts of 1 H and 13 C were recorded in ppm with respect to deuterated chloroform that was used to dissolve the compounds prior to measurement.

Ogundele A.V, & Das A.M. (2021). Chemical constituents from the leaves of Elaeocarpus floribundus. Natural product research, 35(3).

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Spider Silk Hydrogel Secondary Structure Analysis

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The secondary structure analysis of spider silk hydrogel was carried out using the attenuated total reflectance-Fourier transform infrared (ATR-FTIR). Briefly, the spider silk hydrogel samples were submerged into liquid nitrogen and lyophilized by a vacuum freeze dryer. Afterward, the ATR-FTIR spectrum of the sample was detected using an FTIR spectrophotometer (Spectrum 100 model, PerkinElmer, Waltham, MA, USA) with a setup of the ATR mode. The sample was scanned 32 times with a resolution of 0.5 cm⁻¹ in the wavelength range of 600–4000 cm⁻¹. The resulting amide I area of the ATR-FTIR spectrum (wavenumber between 1580 and 1720 cm⁻¹) was chosen for Gaussian deconvolution via Origin 9.0 (OriginLab, Northampton, MA, USA), followed by the subsequent identification of secondary structures.

Wu S.D., Chuang W.T., Ho J.C., Wu H.C, & Hsu S.H. (2023). Self-Healing of Recombinant Spider Silk Gel and Coating. Polymers, 15(8), 1855.

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Spectroscopic Analysis of Brazilian Hardwoods

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Commercial wood samples were obtained from the local wood industry in the midwest region of Brazil (Campo Grande city, Mato Grosso do Sul state). The five wood species analyzed were, Fig. 1: (i) Hymenolobium petraeum Ducke (Angelim-pedra), (ii) Gochnatia polymorpha (Cambará); (iii) Erisma uncinatum (Cedrinho); (iv) Dipteryx odorata (Champagne); and (v) Goupia glabra Aubl (Peroba do Norte).
A total of 52 heartwood sawdust samples per species were obtained from 26 different batches. The powder granulometry was uniformized using an analytical sieve with 45 mesh (355 μm) and submitted to natural drying at room temperature (around 30 °C) for several days before the measurements. The sifted sawdust samples' infrared spectrum was obtained in a Fourier transform infrared spectrophotometer (FTIR) – PerkinElmer spectrum 100 model – with an attenuated total reflectance (ATR) accessory. After background collection in air, the sawdust was directly deposited and carefully compressed against the ATR window (ZnSe crystal), and the FTIR spectra were obtained in the 4000 to 600 cm⁻¹ range, with a 4 cm⁻¹ resolution and 10 scans. The average spectra were collected by measuring each sample in duplicate and then used for analysis.

Jesus E., Franca T., Calvani C., Lacerda M., Gonçalves D., Oliveira S.L., Marangoni B, & Cena C. (2024). Making wood inspection easier: FTIR spectroscopy and machine learning for Brazilian native commercial wood species identification. RSC Advances, 14(11), 7283-7289.

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