The concentration of C in the plants was measured by a CHN analyzer (LECO Corporation). The concentration of N was determined by the micro-Kjeldahl procedure (Nelson and Sommers, 1972 (link)). The concentrations of P and K were determined by inductively coupled plasma spectroscopy (Isaac and Johnson, 1983 (link)).
Chn analyzer
Manufactured by Leco
Sourced in United States
The CHN analyzer is a laboratory instrument designed to measure the carbon, hydrogen, and nitrogen content in a wide range of organic and inorganic materials. It provides accurate and reliable analysis for various applications, including research, quality control, and environmental monitoring.
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Lab products found in correlation
5 protocols using chn analyzer
1
Plant Elemental Composition Analysis
2
Multimodal Characterization of Biochar
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Elemental
compositions of biochar samples were analyzed on a CHN analyzer (LECO
Corporation, CHNS 628, St. Joseph, MI, USA). Samples were degassed
at 200 °C for 12 h prior to N2 sorption measurements
(ASAP 2026, Micrometrics, Norcross, GA, USA), and the specific surface
area was quantified by using the Brunauer–Emmett–Teller
(BET) method. Powder X-ray diffraction patterns were recorded on a
Bruker D2 phaser diffractometer (Bruker, Billerica, MA, USA) equipped
with a Cu Kα radiation source, with diffraction angles (2-Theta)
from 10° to 80°. The morphology and surface composition
of biochar samples were studied using scanning electron microscopy
(SEM, Hitachi, SU800, Tokyo, Japan) and energy-dispersive spectroscopy
(EDS), respectively. Fourier transform infrared (FTIR) spectra were
recorded using an FTIR spectrometer (Thermo Electron Corporation,
Nicolet 6700, Madison, WI, USA) with samples prepared as KBr pellets.
Surface elemental composition and functional groups were analyzed
by X-ray photoelectron spectroscopy (XPS, AXIS, Ultra DL, Kratos Analytical,
Manchester, UK), using a monochromatic Al Kα X-ray excitation
source under vacuum conditions. Raman spectra of NFMBC samples were
recorded on a Horiba XploRa Plus instrument (Horiba, Kyoto, Japan)
with excitation using a 532 nm laser.
compositions of biochar samples were analyzed on a CHN analyzer (LECO
Corporation, CHNS 628, St. Joseph, MI, USA). Samples were degassed
at 200 °C for 12 h prior to N2 sorption measurements
(ASAP 2026, Micrometrics, Norcross, GA, USA), and the specific surface
area was quantified by using the Brunauer–Emmett–Teller
(BET) method. Powder X-ray diffraction patterns were recorded on a
Bruker D2 phaser diffractometer (Bruker, Billerica, MA, USA) equipped
with a Cu Kα radiation source, with diffraction angles (2-Theta)
from 10° to 80°. The morphology and surface composition
of biochar samples were studied using scanning electron microscopy
(SEM, Hitachi, SU800, Tokyo, Japan) and energy-dispersive spectroscopy
(EDS), respectively. Fourier transform infrared (FTIR) spectra were
recorded using an FTIR spectrometer (Thermo Electron Corporation,
Nicolet 6700, Madison, WI, USA) with samples prepared as KBr pellets.
Surface elemental composition and functional groups were analyzed
by X-ray photoelectron spectroscopy (XPS, AXIS, Ultra DL, Kratos Analytical,
Manchester, UK), using a monochromatic Al Kα X-ray excitation
source under vacuum conditions. Raman spectra of NFMBC samples were
recorded on a Horiba XploRa Plus instrument (Horiba, Kyoto, Japan)
with excitation using a 532 nm laser.
3
Mangrove Carbon Content Analysis
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Total carbon (TC) in leaves and branches was determined using a CHN Analyzer (LECO 628 series). Organic carbon (OC) content was determined for the leaves of each mangrove species, using the loss of weight on ignition method (LOI%) (Ben-Dor and Banin, 1989 ). OC content was then calculated using Kauffman and Donato's equation (2012) :
The results of falling rate and OC content values of leaves and branches will be discussed later in terms of their potential as ES provided by mangroves.
The results of falling rate and OC content values of leaves and branches will be discussed later in terms of their potential as ES provided by mangroves.
4
Freeze-Dried Sample Characterization
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All samples
were freeze-dried for 24 h prior to FTIR spectroscopy, solid-state 13C NMR spectroscopy, elemental analysis, and SEM measurements.
FTIR spectra were obtained on a Nicolet Nexus 670 Fourier transform
infrared spectrometer using the ATR mode of measurement. The samples
were scanned 32 times in the range of 4000–650 cm–1. Element analysis was performed using a LECO CHN Analyzer according
to the method of ASTM D5291.
were freeze-dried for 24 h prior to FTIR spectroscopy, solid-state 13C NMR spectroscopy, elemental analysis, and SEM measurements.
FTIR spectra were obtained on a Nicolet Nexus 670 Fourier transform
infrared spectrometer using the ATR mode of measurement. The samples
were scanned 32 times in the range of 4000–650 cm–1. Element analysis was performed using a LECO CHN Analyzer according
to the method of ASTM D5291.
5
Sediment Organic Carbon Analysis
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Percentage dry weight was determined for all samples (drying overnight at 105°C), and bulk density was estimated using standard methods (Dean 1974) . The carbon (C) content of the sediments of selected lakes (SS70, SS53, SS1371, SS49) was measured using a Leco CHN analyzer and is reported as percent of sediment dry mass. For the Kajak cores from the remaining sites (Table 1), loss-on-ignition (LOI), a measure of organic matter content, was determined by weight loss following heating of dried samples at 550°C for 4 h (Dean 1974) . Where both approaches were used, for example, at lake SS32, the correlation between the two methods is high (r = 0.85, p < 0.001), indicating that the approaches are comparable (Bindler and others 2001b) . Loss-on-ignition data were converted to carbon using a standard correction factor of 0.47 (Dean 1974) . Organic carbon accumulation rates (OC AR) were determined by multiplying the dry mass accumulation rate, derived from the 210 Pb chronologies (below), by the proportional OC content. As surficial sediments include sediment that is undergoing postdepositional mineralization, the uppermost 10 years were removed prior to estimating mean burial rates.
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