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read_tga_txt(): defensive plain-text reader for raw TGA
exports (temperature, time, weight columns), following the same
readLines()/strsplit() approach as
read_ftir_txt()/read_xrd_txt().tga_normalize(): rescale a raw mass column (e.g. mg) to
percent of initial mass.tga_dtg(): smoothed derivative thermogravimetric (DTG)
curve via stats::smooth.spline(), rather than a raw finite
difference of noisy instrument data.find_dtg_peaks(): automatic local-maxima peak picking
on a DTG curve with a prominence filter, mirroring
find_ftir_peaks().tga_decomposition_reference() /
assign_dtg_peaks(): reference table of typical
lignocellulosic decomposition temperature ranges (moisture,
hemicellulose, cellulose, lignin) and a matcher for observed DTG peaks,
mirroring ftir_band_reference() /
assign_ftir_peaks().tga_stages(): reads moisture/volatile-matter/ash
percentages directly off a TGA curve at three temperature breakpoints
and hands them to the existing proximate_analysis() for
fixed-carbon-by- difference, so a TGA-derived proximate analysis gets
the same 100%-sum check as a gravimetric one.tga_stages_batch(): tga_stages() applied
per sample ID across a long-format multi-sample data frame, mirroring
fit_isotherm_batch() /
fit_kinetics_batch().tga_kinetics_kissinger(): non-isothermal single-step
kinetics (activation energy and pre-exponential factor) from DTG peak
temperatures at several heating rates, following Kissinger (1957) doi:10.1021/ac60131a045.
Returns a plain lm-backed fit object, so
fit_confint() works on it directly like any other fit in
this package.plot_tga(): base-graphics dual-axis TG/DTG plot, usable
with the existing save_tiff() for 600 dpi export.fit_temkin(),
fit_dr() (Dubinin-Radushkevich, with mean free energy
E), fit_sips().fit_elovich(),
fit_intraparticle() (Weber-Morris).fit_vant_hoff() computes deltaH,
deltaS, and deltaG from equilibrium distribution coefficients across
temperatures.fit_confint(): confidence intervals for any
isotherm/kinetics/van’t Hoff fit from this package, with an automatic
fallback to a Wald interval if profiling fails.fit_isotherm_batch() and
fit_kinetics_batch() fit a model separately per group
(e.g. per sample ID), skipping groups that fail to converge with a
warning instead of aborting the whole batch.baseline_correct() (linear or rolling-minimum
baseline) and find_ftir_peaks() (automatic local-maxima
peak picking with a prominence filter).xrd_deconvolve(), a simplified simultaneous
multi-Gaussian peak fit that also returns a crystallinity index.bet_surface_area(): multi-point BET surface area from
gas adsorption data.pct_mass_change(),
proximate_analysis() (fixed carbon by difference),
ultimate_ratios() (H/C, O/C, N/C atomic ratios for Van
Krevelen analysis).vignette("biocharkit-intro"), walking
through a full synthetic-data analysis using every function in the
package.find_ftir_peaks() incorrectly rejected a local
maximum that fell exactly between two grid points (a common case when a
peak center doesn’t align with the sampling interval), due to requiring
a strictly unique maximum within the search window. Tied/plateau maxima
are now correctly collapsed to a single peak at their midpoint.parse_sbc_id().read_ftir_txt(),
read_xrd_txt().qe_batch(),
removal_efficiency().fit_langmuir(),
fit_freundlich() (nonlinear with linearised fallback).fit_pfo(), fit_pso().ftir_band_reference(),
assign_ftir_peaks(),
functional_group_density().xrd_crystallinity_index().correlation_matrix().plot_isotherm(),
plot_kinetics(), plot_ftir_spectrum(),
save_tiff().sbc_example for demonstration
and testing.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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