Full Transcript

Tutorial koreksi baseline dan smoothing kurva FTIR di ORIGIN

11:07959 summary words · ~5 min readEnglishBy Shalahudin Nur AyyubiTranscribed Jul 26, 2026

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Summary

The video shows how to correct baseline, smooth peaks, and label them in Origin software to produce clean FTIR spectra for semi‑quantitative analysis.

Following these steps yields spectra with uniform baselines, reduced noise, and clear peak labels, improving the reliability of peak area or height measurements.

Section summaries

Intro / Motivation

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The presenter greets viewers and states that the tutorial will cover baseline correction, peak labeling, and smoothing of FTIR spectra in Origin. He explains why baseline correction matters for semi‑quantitative analysis, noting that uneven baselines affect peak area or height calculations, and shows a quick example of a non‑uniform baseline.

Baseline correction is needed for reliable semi‑quantitative FTIR analysis.
The video will demonstrate three main workflows: baseline correction, smoothing, and peak labeling.

Provides context but no technical steps; viewers already familiar with the goal can skip.

Baseline correction setup and manual point selection

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The presenter deletes the original data, plots wave number versus transmittance, then accesses Analysis > Pick and Baseline > Pick Analyzer > Subtract Baseline. He selects the User Define option and chooses the second‑derivative method. After disabling auto point selection, he manually adds baseline points by double‑clicking on the curve at several locations to define a straight baseline.

Access baseline correction via Pick and Baseline → Pick Analyzer → Subtract Baseline.
Manual point placement (double‑click) defines the baseline after turning off auto detection.

Contains the core procedural steps for baseline correction that are essential to follow.

Baseline correction preview, finish, and obtaining corrected data

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After placing the manual points, the presenter clicks Next to preview the baseline‑corrected spectrum, verifies the result, and clicks Finish. He then closes the dialog, selects the newly generated X2 and Y2 columns (baseline‑subtracted data), plots them, and adjusts the scale to make the baseline appear more uniform.

Preview the correction before finishing to ensure the baseline looks appropriate.
The corrected data appear as new columns (X2, Y2) ready for plotting.

Shows how to confirm and apply the baseline correction, a necessary step before further processing.

Plotting corrected data and scaling

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The presenter plots the baseline‑corrected data (X2 vs Y2) as a line graph, then changes the axis scale from 4.000 to 400 to better visualize the spectrum. He notes that the baseline now appears more uniform, which improves the suitability of the data for semi‑quantitative analysis.

Re‑plot the corrected data to visualize the effect of baseline subtraction.
Adjusting the axis scale helps confirm baseline uniformity.

Demonstrates the visual verification of baseline correction, important for quality control.

Smoothing setup and preview

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To smooth the peaks, the presenter opens Analysis > Signal Processing > Smooth, opens the dialog, selects a smoothing method, and sets the number of points (e.g., 50). He clicks Preview to see the effect of smoothing on the peak shape before applying it.

Smoothing is accessed via Analysis → Signal Processing → Smooth.
Previewing allows the user to judge the appropriate number of smoothing points.

Details the smoothing workflow, which is essential for reducing noise in FTIR peaks.

Applying smoothing and obtaining smoothed data

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After confirming the preview, the presenter clicks Finish to apply smoothing. The smoothed data appear as new columns (X4, Y4). He replots the smoothed spectrum, optionally adjusting the scale again, to show the smoother peaks.

Finish applies the smoothing and creates new data columns (X4, Y4).
Re‑plotting the smoothed data visualizes the noise‑reduced spectrum.

Shows the execution and result of the smoothing step.

Peak labeling (auto/manual) and label formatting

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The presenter opens Analysis > Pick and Busel (or Pick Analyzer) > Find Pix to detect peaks. He explains that auto detection can be used, or the user can disable auto and manually add peaks by double‑clicking on each peak. After labeling, he adjusts the label font size to 10 and changes the label position (above or below the peak) as desired.

Peak detection via Find Pix; manual addition via double‑click if needed.
Label formatting includes font size (10) and position adjustment.

Covers both automatic and manual peak labeling plus formatting, critical for clear spectra.

Final formatting, frame, grid removal, and conclusion

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The presenter thickens the spectrum line for better visibility, adds a superscript to the wave‑number axis, inserts a frame via View → Show → Frame, and hides major and minor grid lines to clean up the graph. He then reviews the final result: a baseline‑corrected, smoothed, and labeled FTIR spectrum ready for analysis, and ends the video with a thank‑you.

Increase line thickness, add axis superscript, insert a frame, and hide grid lines for a polished look.
The final product is a clean FTIR spectrum suitable for semi‑quantitative measurement.

Provides the finishing touches that make the spectrum publication‑ready; skipping would leave the graph less polished.

Key points

Baseline correction via subtract baseline with user‑defined points — Use Analysis > Pick and Baseline > Pick Analyzer > Subtract Baseline, choose User Define, select the second‑derivative method, then manually place points by double‑clicking on the curve to define the baseline before finishing.
Smoothing FTIR peaks with Origin’s signal processing tool — Open Analysis > Signal Processing > Smooth, pick a smoothing method, set the number of points (e.g., 50), preview the effect, and apply to obtain a smoother peak shape while preserving essential features.
Manual peak labeling and formatting for publication‑ready spectra — Use Analysis > Pick and Busel (or Pick Analyzer) > Find Pix, either let the software auto‑detect peaks or manually add them by double‑clicking, then adjust label font size to 10 and position (above or below) as needed.

“Oke, Teman-teman jumpa lagi bersama saya. Pada kesempatan video kali ini saya akan memberikan tutorial bagaimana cara melakukan baseline correction, memberikan label pada puncak-puncak spektrum FDR dan juga bagaimana cara smoothing spectrum FDR di software Origin.” — Presenter

“Kita pilih user define. Jadi kita akan pilih manual ya. Ini method-nya second derivative.” — Presenter

AI-generated from the transcript. May contain errors.

0:00

Okay friends, meet again with me on this video I will give a tutorial on how to do baseline correction, give labels on the ends of the FDR spectrum and also how to smooth

0:15

spectrum FTR in Origin software. Well, baseline correction is important, why? Usually for semi-quantitative spectrum FTR analysis, yes, because the baseline is usually different, and it can also be used for, for example, semi-quantitative analysis to calculate the area of the peak or to calculate the transmission of each peak. For example, like this, yes, this is the baseline, it's still

0:43

different, yes, it's not the same, well, it's not even, we'll just make it, how do we delete it first? Well, it's like this, we have data x and y for the web number and transmission, then we plot it, select the lens, this is already like this, yes, then we select analysis

1:30

in the analysis menu then select pick and baseline then select pick analyzer then select open dialog well we choose the goal what to choose the substrat baseline yes then select next Well, there is already a baseline, yes, a straight line like this, we select user define so we will select the manual, yes, this is the second derivative method, then this is already auto, this is the

2:07

here the points are already auto, we will use the points manually, yes, we remove the enable auto find, then clear all, then we add manually, now we choose where the points are for correction, the baseline is double-click, just double-click here, double-click, double-click, double-click, double-click, double-click, double-click, double-click, now if you have selected and yes,

2:51

Okay, for example, we choose down then select next, we can see the preview, this is the baseline correction, for example, friends, you can want to be edited, you can choose this, modify or add, we choose modify, this can be adjusted, yes, like this, okay, don't let it enter the line like this, friends, or friends can also add this, yes,

3:37

the point again previous then choose add again the point for example here yes okay next Well this is the preview if it's done you can immediately finish it okay then we close minimize first Well, you will get this data, yes, subtract and subtract from transmittance

4:15

Well, we choose this new data, x2 and y2, then we choose the plot length. Well, this is the result of the baseline correction. Well, this is the baseline, it's the same, the baseline is the same, now this is the baseline, it's more the same. Well, this is the baseline correction result, friends, we change the scale first, scale

4:54

4000 to 400 okay, now this is more straight, the baseline is almost the same

5:08

So for semi-quantitative analysis, the results are better. Next, after we do baseline correction, we will do smoothing the top of FDR data so that the top is more visible. The way is to select the analysis menu, then signal processing, then select smooth open dialog.

5:31

Well, here's the method, the method is to choose this one, the manual one, then how many points do we mention, the more points there are, the more smooth it is, yes, for example, 50, choose preview, now this preview is like this, the result of the smoothing is the smoothing result, we enlarge it, for example, here, it looks like we enlarge it again, for example,

6:16

Well, this is the result of the red smoothing, so the mark will be smoother later, just choose OK, then we minimize again, we get new data again, we minimize, minimize, now here is the new data again, the X4 and Y4 substrates that have been smoothing earlier, we plot it again, plot, land,

6:50

Well, this is the smoothing result, yes, change the data again, scale 4000 to 400, now this is the last one, we will determine the point of the peak, yes, in a romantic way or determine the peak and give the label of the peak data FDR manually, yes, how is it like

7:24

we choose analysis pick and baseline then choose pick analyzer open dialog then choose the goal choose find picks then choose next okay next just choose constant baseline mode then choose next choose next again

7:49

Well, this can be auto, yes, auto-fine, for example, we just click, try to find it, if you want to know the key automatically, yes, choose this, then for example, you want to add the key manually, you can also uncheck it from the auto-fine enable, then select clear all, then add, this is how to add a manual key like this,

8:19

we double click, we double click, we double click on the tops, for example, yes, don't, now the tops have come out, then we select finish, now the data is already, for example, the font is too big, we can set it to 10, then we change the format, the position, we can also change it below, for example,

8:56

or above it can also be a cake, we can set it, double-click position below, now the position is already below, then this is done, friends, then friends can also thicken the spectrum, yes, so that it is clearer, like this, for example, wave number, we tidy it up, yes, this is a superscript, this is a transmitter, we just delete the data, this is

10:02

then we can give the frame, yes, view, then show, then check the frame section, this will add the graphics of the box like this, then we delete the line, we turn on the major and minor ticks like this, so it's like this, friends, this is the result of

10:38

the spectrum data of the FDIL has been corrected by the baseline so that it becomes more even, then the label is given at the top and the smoothing is done at the top of the data so that it is better and easier to analyze. Okay friends, thank you for watching this tutorial video, see you in the next video and see you

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