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7800 icp ms

Manufactured by Agilent Technologies
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The Agilent 7800 ICP-MS is a high-performance inductively coupled plasma mass spectrometer. It is designed for the analysis of trace and ultra-trace elements in a wide range of sample types. The 7800 ICP-MS provides accurate and precise measurements of elemental concentrations, making it a versatile tool for applications in various industries, including environmental, food, and materials science.

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49 protocols using 7800 icp ms

1

Quantitation of Trace Metals in Biomass

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Biologic replicates were diluted to the same protein concentration. Then equal parts were pooled to create one sample per condition. The metals were liberated from biologic molecules using a 5% nitric acid digestion. The precipitate was pelleted via centrifugation, and the supernatant was collected for analysis. Metal analysis was performed using an Agilent Infinity II autosampler coupled to an Agilent 7800 ICP-MS. The mobile phase was 2% HNO3, 0.5% HCl in water, with a flow rate of 1 mL/min. The signals of five metal ions were monitored for 30 s, and included: 24Mg, 56Fe, 63Cu, 66Zn, and 75As, with an integration time/mass of 0.5 s per analyte. The quantification of analytes was performed in Agilent MassHunter 4.6 (version C.01.06) against a standard curve. Media with and without arsenic was digested in the same fashion The metals of interest were analyzed using an Agilent SPS 4 autosampler coupled to an Agilent 7800 ICP-MS in helium mode. The quantification of analytes was performed against a standard curve in MassHunter.
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2

Trace Metal Analysis of PS20 and PS80

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For the raw materials of PS20 and PS80 as well as for a solution of 1 M acetate buffer pH 5.5, the metal ion concentrations were determined by ICP-MS, utilizing a 7800 ICP-MS (Agilent, Santa Clara, CA, USA) system equipped with an SPS 4 autosampler (Agilent, Santa Clara, CA, USA). PS20 and PS80 raw material samples were dissolved through acid digestion using nitric acid and measured against custom standards of the metals Al, B, Cr, Cu, Fe, Mn, Mo, Ni, and V. No-gas-mode or helium-mode was used depending on the element. The limit of quantification (LOQ) was dependent on the sample and was 250 ng⋅mL−1 for B, 250 ng⋅mL−1 for Al, 2.5 ng⋅mL−1 for V, 100 ng⋅mL−1 for Cr, 10 ng⋅mL−1 for Mn, 100 ng⋅mL−1 for Fe, 25 ng⋅mL−1 for Ni, 10 ng⋅mL−1 for Cu, and 10 ng⋅mL−1 for Mo for the raw materials of PS20 and PS80, as well as for the 1 M acetate buffer sample. For the 100 mg⋅mL−1 samples of PS20 and PS80 the LOQ was 250 ng⋅mL−1 for B, 250 ng⋅mL−1 for Al, 2.7 ng⋅mL−1 for V, 6.57 ng⋅mL−1 for Cr, 4.94 ng⋅mL−1 for Mn, 10 ng⋅mL−1 for Fe, 25 ng⋅mL−1 for Ni, 10 ng⋅mL−1 for Cu, and 5 ng⋅mL−1 for Mo.
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3

Inductively Coupled Plasma Mass Spectrometry for Metal Analysis

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Water samples obtained after filtration through a 0.45 μm membrane were analyzed by inductively coupled plasma mass spectrometry (7800 ICP-MS, Agilent, Santa Clara, CA, USA) for all-element metal screening and systematically analyzed for validly detected PTEs above the detection limit.
The detection limits of the tested elements are shown in Table S2. In order to ensure the quality and accuracy of the elemental detection, Rh, Re and Th were added as internal standards in the experimental process, and the recoveries of the different internal standards were (90.1~120.9%), (98.6~113.5%) and (93.9~107.7%), respectively; in addition, some repeated analytical tests were carried out in the middle of sample testing as well as after the end of sample testing, and the standard deviation of each element in two repeated analytical tests was calculated. In addition, some samples were repeatedly analyzed in the middle and at the end of the sample testing, and the standard deviation of each element in the two repeated analytical tests was calculated, which is shown in Table S2.
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4

Metalloproteome Analysis via SEC-ICP-MS

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The metalloproteomes for each condition were analyzed via SEC-ICP-MS using an Agilent Infinity II LC coupled to an Agilent 7800 ICP-MS. The methods were inspired by work done by the Roberts lab [18 (link),19 (link)]. A total of 160 µg of soluble protein (entire proteome) was injected onto an Agilent Bio-SEC 3 (3 µm, 300 Å, 4.6 × 300 mm) column and proteins were separated for 25 min using 200 mM ammonium acetate pH 8 as the mobile phase, with a flow rate of 0.4 mL/min. The five metal ion signals were monitored, and these included: 24Mg, 56Fe, 63Cu, 66Zn, and 75As, with an integration time/mass of 1.5 s per analyte. The monitoring of ion signals was performed using the Agilent MassHunter 4.6 (version C.01.06). Metal signals were manually integrated in MassHunter, and all other data workup was performed in Microsoft Excel. Statistical differences were determined using a Student’s t test at a 95% confidence interval.
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5

Nutritional Profiling of Plant Samples

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Proximate analyses were performed following the standard methods (official method, OM) of the Association of Official Analytical Chemists (AOAC, 2005) [78 ]. Approximately 1.0 g of the powdered plant samples (AAL, AAS, AVL, AVS, AVR, ATL, ATS, and ATR) were used to estimate total moisture (OM 930.04), ash (OM 930.05, using muffle furnace Model: KAA/956/C, Sri Krishnaa Enterprises, Secunderabad, Telangana, India), crude fat (OM 2003.05, extraction unit Model: E–816 HE, BÜCHI Labortechnik AG, Flawil, Switzerland), crude protein (OM 977.02 using Kjeldahl factor of 6.25, distillation unit Model: VAPODEST 200, C. Gerhardt GmbH & Co. KG, Königswinter, Nordrhein-Westfalen, Germany), and carbohydrate contents. The carbohydrate content was calculated as the difference from the other components analyzed. Heavy metals and minerals compositions were also determined to compare the nutritional status of the samples (OM 2015.01 (2018) using inductively coupled plasma mass spectrometry Model: 7800 ICP-MS, Agilent Technologies, Santa Clara, CA, USA) [79 (link)].
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6

Mg2+ Degradation Effects on MC3T3-E1 Cells

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To simulate the effect of 7-day degradation of Mg2+ production on MC3T3-E1 cells, we prepared α-MEM with varying Mg2+ concentrations. First, inductively coupled plasma mass spectrometry (7800 ICP-MS, Agilent, United States) was performed to detect the Mg2+ concentration of pure Mg and Mg-Ti composite extracts. Then, the sterilized Mg chloride solution was applied to elevate the α-MEM Mg2+ concentration, according to the result of the Mg2+ concentration test.
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7

Mineral Content Determination by ICP-MS

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The mineral content was measured by digesting the samples in a microwave oven (MARS 6 iWave, CEM Corporation, Mattews, NC, United States of Americawith sulfuric acid, hydrogen peroxide, and hydrochloric acid [30 (link)]. This solution was atomized in argon plasma, and due to the high temperature, the sample dried further and was ashed, atomized, and ionized. The minerals were detected using an ICP-MS (Agilent 7800 ICP MS, Matthews, NC, USA), and the signal intensity of the mineral was divided by the charge of the minerals [31 ]. The mineral content was quantified by means of a calibration line based on the ratio between the signal of the element and the signal of the associated standard.
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8

Evaluating Fe/Ce-MSN Nanoparticle Degradation

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In vitro degradation profiles and microstructure evolutions of Fe/Ce-MSN NPs were assessed by two typical approaches. One was detecting the degradation content of Fe, Ce and Si by inductively coupled plasma mass spectrometry (ICP-MS, 7800 ICP-MS, Agilent), and the other was directly observing the time-dependent structural evolution of Fe/Ce-MSNs by SEM during the degradation evaluation.
Typically, 1 mg Fe/Ce-MSNs was added into 1 ml FBS (PBS as control) solution with different pHs (pH: 7.4 and 6.0) for 24 h. The testing solution was put into a water bath at 37°C under magnetic stirring slowly (250 rpm). ICP-MS test and SEM images of samples were taken out at different time points to monitor the degradation.
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9

Comprehensive Beer Quality Analysis

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The pH (pH meter, Mettler Toledo, Mumbai, India), total soluble solids (TSS), and titrable acidity of the prepared beer samples were determined26 . HPLC was used to determine the amount of ethanol and sugars. Inductively Coupled Plasma Mass Spectrometry (ICP-MS) was used to examine the minerals (7800 ICP MS, Agilent Technologies, USA). Total phenol content was determined using Kumari et al.27 (link) methodology at 650 nm with a spectrophotometer (UV3000 +, Lab India, Delhi, India). The total monomeric anthocyanins (TMA) content was determined using two different wavelengths of 520 and 700 nm28 (link). Color was determined using EBC (European Brewing Convention) units at 430 nm29 (link).
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10

Profiling Microbial Interactions under Cadmium Stress

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Samples were collected to determine the concentrations of DPrP, its metabolites, and Cd(II) during incubation. Extraction and detection of DPrP were carried out according to the method described previously [23 (link)]. The metabolites produced during the degradation process were identified by HPLC-MS [24 (link)]. The amino acids and fatty acids in the supernatant were detected by LC-MS [25 (link)] and GC-MS [26 (link)], respectively. The adsorption of Cd(II) on the surface and inside of bacteria was determined by scanning electron microscopy (SEM), transmission electron microscopy (TEM), and energy dispersive spectroscopy (EDS) [27 (link)]. The Cd(II) concentration in the supernatant was investigated by ICP-MS (Agilent Technologies 7800 ICP-MS) analysis [28 (link)]. Quantitative PCR (qPCR) was used to quantify the ratio of DNA levels of the specific estG/xcpR genes to determine the ratios of ZM05 to ZM03 in the coculture system under Cd(II) stress [29 (link),30 (link)]. The primers used in qPCR are listed in Supplementary Table S1. For the transcriptional analysis, CK (control), CD (monoculture under 0.8 mM Cd2+), and CO (coculture under 0.8 mM Cd2+) samples were harvested for RNA extraction, and sample information is provided in Table S2.
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