We Dissect Protocols

Icp ms 7700

Manufactured by Agilent Technologies
111 citations
Sourced in United States, Japan, Australia
About the product

The Agilent ICP-MS 7700 is a highly sensitive and versatile inductively coupled plasma mass spectrometer. It is designed for the detection and analysis of trace elements in a wide range of sample types.

Automatically generated - may contain errors

Market Availability & Pricing

Is this product still available?

Get pricing insights and sourcing options

111 protocols using «icp ms 7700»

1

Extracting Bioactive Compounds from Equisetum arvense

2025
Prior to obtaining the extracts, the botanical sample was ground with an electric grinder until homogeneous size and sieved to a particle size smaller than 2 mm.
Two different methods were carried out to evaluate the effectiveness of the extraction of mineral elements and bioactive compounds. For magnetic stirrer (M) procedure, four grams of E. arvense milled leaves were introduced into a spherical flask with 100 mL of distilled water and stirred at 500 rpm for 1 h at room temperature. Afterwards, the extract was filtered through a 0.45 µm filter. This extract was named EQ-M and stored in a dark bottle at 4 °C until use. As for the second method water reflux (R), four grams of E. arvense sample were placed in a spherical flask with 100 mL of distilled water and refluxed at boiling point for 1 h. Then, the extract was cooled to room temperature and filtered through a 0.45 µm filter. This extract was named EQ-R and stored in dark bottle at 4 °C until use.
These extracts were analyzed for mineral and total phenolic compounds (Table 1). Macro- and micronutrients, as well as silicon, were performed by inductively coupled plasma mass spectrometry (ICP-MS, 7700×, Agilent, Santa Clara, CA, USA). Phenolic compounds were quantified following the Folin–Ciocalteu method [62 (link)]. The extractions using the indicated process, and the characterization were carried out in triplicate.
+ Open protocol
+ Expand
2

Comprehensive Characterization of Composite Materials

2025
The surface morphology of the composites was observed using field-emission scanning electron microscopy (SEM, Sigma300, Zeiss, Jena, Germany). The crystal structure of the composites was characterized through X-ray diffraction (XRD, PW3040/60, PANalytical, Eindhoven, The Netherlands). Furthermore, the distribution of elements on the surface of the composite was examined using energy-dispersive spectrometry (EDS, Smartedx, Zeiss, Germany), while the surface chemical composition was analyzed via X-ray photoelectron spectrometry (XPS, K-Alpha+, Thermo Fisher Scientific, Waltham, MA, USA). In addition, the effect of surface roughness on the composite was studied using atomic force microscopy (AFM, Bruker Dimension ICON, Bruker, Santa Barbara, CA, USA). The loading of Ag/AgCl within the composite was determined with accuracy through inductively coupled plasma mass spectrometry (ICP-MS, ICPMS 7700, Agilent, Santa Clara, CA, USA). Moreover, to measure the water contact angle (WCA) and adhesion properties of the composite surface, sophisticated equipment, such as an optical contact angle meter (OCA40-Micro, Data physics, Filderstadt, Germany) and a highly sensitive MEMS balance system (DCAT11, Data Physics, Filderstadt, Germany) were employed.
+ Open protocol
+ Expand
3

Cadmium Bioaccumulation in Oyster Tissues

2025
Based on the method described by Maanan et.al. [36 (link)] for determining metal content in oysters, the Cd concentrations in the mantle and visceral mass of 50 selected Portuguese oyster individuals were measured on Day 0 and Day 15 using an Agilent ICP-MS-7700 (Agilent, Santa Clara, CA, USA). The specific procedure was as follows: The mantle and visceral mass of each oyster were dried to a constant weight at 80 °C and weighed. The dried tissues (approximately 0.1 g) were then digested with concentrated nitric acid (analytical grade) at room temperature for 12 h and then heated at 80 °C for another 12 h until complete digestion. After appropriate dilution, the Cd content was measured using ICP-MS. A multi-element standard (Agilent) was used for external calibration, with germanium (Ge) as the internal standard to correct for instrument drift and sensitivity changes. Every 20 samples were repeated for quality control, and the normality of Cd content was tested using SPSS 24 software. Finally, three individuals with the lowest Cd concentrations in both mantle and visceral mass at each time point were defined as low-Cd-accumulating individuals (LC), while three with the highest Cd concentrations in both tissues were classified as high-Cd-accumulating individuals (HC).
+ Open protocol
+ Expand
4

Elemental Composition Analysis of PVC

2025
Experiments to characterise the elemental composition of the materials were carried out using different analytical techniques including Inductively Coupled Plasma Mass spectrometry (ICP-MS), Total Reflection X-ray Fluorescence (TXRF), and Transmission electron microscopy–Energy Dispersive X-ray Spectroscopy (TEM-EDX).
For the TXRF analysis, an S4 T-Star TXRF spectrometer (Bruker Nano GmbH, Berlin, Germany) was used equipped with a Mo X-ray source. About 10 mg of PVC powder was mixed with 1 mL of a solution of gallium internal standard (1 mg/L) and Triton X-100 (0.1%). Then, 5 µL of the mixture was pipetted on an acrylic sample holder (B-A20V11, Bruker Nano GmbH, Berlin, Germany). After careful drying, the samples were transferred to the instrument and the TXRF spectra were collected using a 600 s integration time. Data were analysed considering the possible presence of 18 various elements (Supplementary Materials Figure S1).
ICP-MS multi-elemental (39 elements) semi-quantitative analysis was performed with a 7700× ICP-MS (Agilent Technologies, Santa Clara, CA, USA) operated in helium collision mode (detailed instrument configuration available in Supplementary Materials Table S1) after microwave-assisted acidic digestion of the PVC powder. Briefly, 20.3 mg of PVC powder was transferred to a 35 mL clean glass digestion vessel and 4 mL of concentrated nitric acid was added. Microwave-assisted digestion was performed using a Discover SP-D microwave digestion system (CEM, Cologno Al-Serio, Italy) with a maximum power of 300 W and the following 5-step program: (i) 5 min ramp to 100 °C, (ii) 10 min hold at 100 °C, (iii) 5 min ramp to 220 °C, (iv) 20 min hold at 220 °C, (v) cooling down to 40 °C (ca. 10 min). After cooling to room temperature, the digest (clear and transparent) was quantitatively transferred to a 50 mL polypropylene centrifuge tube and ultrapure water was added to reach a final volume of 50 mL prior to ICP-MS analysis. Instrument performance (sensitivity; oxide and doubly charged ion ratios) was checked daily after optimisation of the measurement conditions using a standard built-in software procedure and a multi-elemental tuning solution. The PVC digested was analysed against a multi-elemental calibration curve consisting of 3 points (0–20–40 µg/L) in 8% HNO3.
+ Open protocol
+ Expand
5

Trace Element Contamination Quantification

2025
To estimate the magnitude of trace-element contamination, we repeated the core measurement procedure with ultrapure water, specifically: we filled a reservoir (Thermo 1200-1300) from a water purifier (ELGA PF2XXXXM1) and transferred its contents to a microplate, which we incubated and measured regularly in the spectrophotometer as described above. Afterwards, we centrifuged the contents out of the plate into the same reservoir (which we had emptied immediately after usage) and added 5% HNO3 (Carl Roth 2616.2) for mass spectroscopy. Finally, we poured 3 ml each into four metal-free tubes (Carl Roth, XX96.1 or VWR, 525-0629; the results showed no distinction between those). The above procedure aims at minimizing the number of labware items coming in contact with all the water, as opposed to individual wells, as the latter are the most likely source of variability studied here. Note that the water did not come into contact with any glass labware. We contrasted our samples with four negative controls, for which we filled the tubes directly from the water purifier (and added 5% HNO3).
The elemental contents of each tube were determined via mass spectroscopy (Agilent 7700 ICP-MS) by the University of Cologne’s Biocentre MS Platform. Measurements were performed in technical triplicates (per sample), strictly following the manufacturer’s instructions using helium in the collision cell mode to minimize spectral interference. Of the trace elements from table 1, tungsten wasn’t measured, while results for aluminium, selenium and molybdenum (95Mo and 98Mo) were below the detection limit for all samples. On top, other trace elements, namely lithium, vanadium, chromium, arsenic, strontium, cadmium, platinum and lead (206Pb, 207Pb and 208Pb), were measured.
For each element, we compared all samples with the negative controls using the Mann–Whitney U -test (electronic supplementary material, figure S5). To assess the overall significance, we combined the p-values using the Mudholkar–George method [28 ], separately for investigated and additional trace elements. Results for lead were combined similarly for the three isotopes.
+ Open protocol
+ Expand

Top 5 most cited protocols using «icp ms 7700»

1

Optimized ICP-MS Trace Element Analysis

All single quadrupole-based data were collected on an Agilent 7700 ICP-MS equipped with a helium collision cell, torch shield, and bonnet. The autosampler used was an Agilent ASX-500. Oxides were minimized by using low sample uptake (0.1 rps) in combination with a sampling depth of 8 mm and a double-pass spray chamber held at 2 °C. These tuning conditions typically produced a CeO+/Ce+ ratio of <0.6% with the He flow optimized. The energy discrimination (ED, is the difference in potential between the octopole and the quadrupole) was set at 5 V in order to capitalize on the kinetic energy difference between analyte ions and polyatomic ions and to minimize the potential impact of any polyatomic ion formation in the cell.20 The ED of 5 V was used in combination with an octopole bias of −12 V unless otherwise noted. The collision cell He was an ultra high-purity grade (99.999%, Indiana Oxygen, Indianapolis, IN) and was passed through a triple filter (Agilent, part number 5182–9705) prior to entering the cell. This triple filter cartridge is a single carrier filter that removes hydrocarbon, moisture and oxygen. Data were collected in normal resolution mode (0.8 amu at 10% peak height) and narrow resolution mode (0.4 amu at 10% peak height) to evaluate the abundance-sensitivity implication of utilizing half-mass integration to estimate M2+ correction factors. The resolution mode is often a variable; for this reason, this information was included in the footnotes associated with each figure to ensure clarity. The deflect lens located downstream of the collision cell and before the plate bias voltage was optimized to reduce the M2+. In general, the deflect lens voltage works in combination with the cell exit voltage and the plate bias voltage to determine ion trajectory post collision cell. In this work, several experiments are performed in which the deflect lens potential was varied while maintaining a consistent exit cell and plate bias voltage to monitor the effect of deflect lens voltage changes on M2+ and analyte sensitivity. All half-mass data were exported and integrated using a 0.15 amu integration window in Excel. This external integration was necessary to estimate some of the M2+ correction factors prior to use in the instrument’s interference-correction software. All concentrations were determined using indium as an internal standard after adding the necessary M2+ correction factors in the interference-correction software. Fig. 1 highlights the experimental factors (e.g., mass selection, acquisition mode) that impact the formulation of the appropriate M2+ correction factor applied to the Agilent 7700 data. Fig. 1 includes an example of the associated M2+ calculation for an Nd correction on arsenic using a narrow resolution mode and an external rare earth standard solution to estimate the response at m/z 71.5 (Nd2+) and 143 (Nd1+). In Fig. 1, these experimental factors are denoted using subscripts and superscripts to ensure clarity. A complete set of example calculations is included in the ESI‡ section entitled: M2+ correction equations for figures and data tables.
All ICP-QQQ data were collected using an Agilent 8800 ICP-MS. Both As and Se were analyzed in a mass-shift mode using oxygen (0.5 mL min−1) as a reaction gas at m/z 91 and 94, respectively. Yttrium (YO+, 89 → 105) was used as an internal standard for the mass-shifted analytes because of the increased sensitivity of the oxygen reaction product ions compared to other commonly used internal standards. The short term reproducibly of the 89 → 105 mass-shift was determined by analyzing multiple yttrium fortified calibration standards over the course of one hour. Based on the plasma conditions used in this work less than a 3% change in cps (counts per second) for the 89 → 105 mass-shift was measured. All data were collected using selective ion monitoring with a 0.99 s per amu integration time with yttrium (YO+, 89 → 105) as an internal standard.
High-resolution data were collected using a Thermo Finnigan Element2 double-focusing magnetic sector ICP-MS equipped with a 100 μL min−1 PFA micronebulizer and a cyclonic quartz spray chamber (Elemental Scientific, Omaha, NE). Both 75As and 78Se were analyzed in the high-resolution mode to provide resolution between the analyte and the associated M2+ ions. The sensitivity for 75As and 77Se are 1166 and 127 cps μg−1 L−1, respectively in high resolution mode. All data were collected using 40 samples per peak over a 0.200 s sampling time, 30% search and 60% integration windows, and indium as the internal standard over 3 runs and 2 passes (n = 6). The Auto Lock Mass feature was active during analysis.
+ Open protocol
+ Expand

Corresponding organizations : University of Cincinnati, Environmental Protection Agency, Research Triangle Park Foundation, United States Food and Drug Administration, Central Ground Water Board

2

Characterization and Release of Gadolinium-Labeled Nanodiamonds

The morphology and size of the particles were characterized with TEM (JEOL JEM-1011)58 . The stability and surface charge of HPMA-coated NDs with Gd3+ complexes were tested by dispersing them in buffer solutions (50 mM citric acid buffer pH 2.0, 50 mM acetate buffer pH 4.5, 50 mM HEPES buffer pH 7.4, 50 mM TRIS buffer pH 8.5 and 1.5 M PBS buffer pH 7.4) for further experiments. Dynamic light scattering and zeta potential were recorded with a Zetasizer Nano ZS system (Malvern Instruments) at 37 °C at a concentration of 0.1 mg ml−1.
To quantitatively measure the amount of Gd3+ complexes released from the nanosensors, the particles were mixed with buffer and incubated for a certain time. Then, cleavage conditions were stopped, the particles were centrifuged and the released Gd3+ complexes in supernatant were measured with an ICP MS 7700 (Agilent Technologies) instrument in duplicates. The non-cleavable ND-HPMA-Gd3+ conjugate was used as a control and processed under the same conditions. The relative release at a given time was calculated as a ratio of the amount released to the maximum release amount. A detailed description of these release experiments can be found in the Supplementary Information. The total amount of Gd3+ conjugated to HPMA-coated NDs was measured as ∼3.2% (weight percentage to NDs) using ICP AES (Spectro Arcos SOP).
+ Open protocol
+ Expand

Corresponding organizations : University of Stuttgart, Czech Academy of Sciences, Institute of Organic Chemistry and Biochemistry, Charles University

3

Feeding Preference of Macrobrachium rosenbergii

Inert tracers of rare earth elements (
were respectively incorporated into practical diets (T0, T2, T5, T8, T15 and TF) at a concentration of 0.1 g kg - 1 each to determine the feeding preference index of M. rosenbergii towards different diets. Seven feeding experiments were conducted as follows: one before the feeding trial, aimed at testing the effect of FSBM on the feeding tendency of M. rosenbergii (prawns with an average weight of 6.0 ± 0.15g); and six after the feeding trial, aiming to explore their adaptability to different levels of FSBM (T0, T2, T5, T8, T15, and TF groups), using prawns with an average weight of 22.03 ± 1.20g. Thirty prawns with similar size were selected from each group before and after the feeding trial. randomly distributed into three net cages (80cm*30cm*50cm), 10 prawns per net cage.
Diet preference experiment prior to domestication: Prior to the feeding trial, the prawns were initially fed with the T0 group basic feed for a duration of 7 days. Subsequently, they were provided with a mixture of feeds containing equal quantities of one of the rare earth elements for an additional 7 days in order to collect fecal samples.
Diet preference experiment after domestication: After an 8-week feeding trial, the prawns were then fed a mixture of feeds containing equal amounts of rare earth elements for 7 days to collect their feces (Xue et al. 2001 (link)).
The residual diet was collected 1 hour post-feeding, and the faeces sample were subsequently obtained after 2 hours post-feeding, and stored at -20°C. Quantitative determination of rare earth elements in both diets and feces was performed using an ICPMS 7700 inductively coupled plasma mass spectrometer (Agilent, USA) (Refstie et al. 1997 (link)). The preference for a speci c diet, characterized by the presence of earth oxide i in each experiment, was quanti ed as the ratio of the concentration of i relative to the total concentration of six markers in feces compared to that in diets. This calculation was performed using the following formulae: where f i = concentration of marker i in faeces; f t = total concentration of markers in faeces; d i = concentration of marker i in diet; d t = total concentration of markers in the diet mixture.
+ Open protocol
+ Expand

Corresponding organizations : Ministry of Agriculture and Rural Affairs, Shanghai Ocean University

4

Trace Element Mapping of Fossil Teeth

Fossil teeth were sectioned with a high-precision diamond saw and polished to more than 10 µm smoothness. Laser ablation ICP-MS was used for trace elemental mapping analyses of the samples according to the published protocol from ref. 62 (link). The GARG facility at Southern Cross University uses an ESI NW213 coupled to an Agilent 7700 ICP-MS, using rastered laser beams run along the sample surface in a straight line. A laser spot size of 40 μm, a scan speed of 80 μm s−1, laser intensity of 80% and a total integration time of 0.50 s were used to produce data points.
+ Open protocol
+ Expand

Corresponding organizations : Chinese Academy of Sciences, Institute of Vertebrate Paleontology and Paleoanthropology, Australian National University, Macquarie University, Southern Cross University, University of Iowa, Flinders University, Max Planck Institute for the Science of Human History, University of Queensland, National Research Center on Human Evolution, University of Wollongong, Shandong University, Guangxi Zhuang Autonomous Region Museum, Xi'an Jiaotong University, University of Johannesburg

5

Measuring Copper Accumulation in E. coli

Wild-type and ΔrclAE. coli strains were grown to an A600 of 0.6 in MOPS medium and stressed with 400 μM HOCl for 30 min at 37°C with shaking. After 30 min, the cultures were diluted 2-fold with MOPS medium to quench HOCl and then pelleted. The mass of pellets was determined after three rinses with PBS. The amount of copper was measured via inductively coupled plasma mass spectrometry (7700× ICP-MS; Agilent Technologies, Santa Clara, CA) after suspension of the collected pellets in concentrated nitric acid and dilution of the suspensions to a 2% nitric acid matrix. Samples were filtered through 0.22-μm polytetrafluoroethylene filters to remove any particulates before running metal determinations. Copper concentrations were determined by comparison to a standard curve (Agilent, catalog no. 5188-6525) as calculated by Agilent software (ICP-MS MassHunter v4.3). Values determined by ICP-MS were normalized to pellet mass and dilution factor.
+ Open protocol
+ Expand

Corresponding organizations : University of Alabama at Birmingham, University of Connecticut

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required

Sign up now

Revolutionizing how scientists
search and build protocols!

🧪 Need help with an experiment or choosing lab equipment?
I search the PubCompare platform for you—tapping into 40+ million protocols to bring you relevant answers from scientific literature and vendor data.
1. Protocol search & design
(papers, patents, application notes)
2. Protocol validation
(from literature and MDAR)
3. Lab Product search
4. Product validation from literature
5. Troubleshoot product/ protocol
6. Instant figure generation New
Want to copy this response? Create your account to unlock copy/paste and export options.