Aplikasi Teknologi Inframerah Untuk Menduga Kadar Patchouli Alcohol Pada Minyak Nilam Aceh

Risqa Mutha Dina, Ichwana Ichwana, Zulfahrizal Zulfahrizal

Abstract


Abstrak. Komponen utama yang dikandung minyak nilam adalah patchouli alcohol (PA). Kadar PA merupakan indikator utama penentu mutu, kualitas dan harga minyak nilam dimana kadarnya tidak boleh kurang 30%. Pengukuran kadar PA umumnya dilakukan dengan uji laboratorium menggunakan Gass Chromatography – Mass Spectroscopy (GC-MS) yang membutuhkan waktu yang lama dan biaya yang mahal. Oleh karena itu, dibutuhkan cara yang lebih efisien dan non destruktif untuk menguji mutu minyak nilam Aceh salah satunya menggunakan teknologi NIRS. Penelitian ini bertujuan untuk mengkaji kemampuan teknologi NIRS dengan metode principal component regression (PCR) dalam mengolah data spektrum untuk memprediksi kadar patchouli alcohol sebagai indikator mutu pada minyak nilam crude oil. Penelitian ini  menggunakan minyak nilam dalam bentuk crude oil yang sebagiannya di fraksinasi menggunakan rotary vacum evaporator. Minyak nilam crude oil dan minyak hasil fraksinasi selanjutnya diuji GCMS untuk mengetahui kadar PA nya, Pengukuran spektrum minyak nilam pada penelitian ini menggunakan Thermo Nicolet Antaris II TM. Data spektrum diolah menggunakan software Unscrambler X versi 10.3. Penelitian ini menggunakan metode principal component regression (PCR) dengan bantuan dua pretreatment yaitu mean normalization dan derivative 1. Hasil penelitian ini menunjukkan PCR mampu memprediksi jumlah kadar PA pada minyak nilam crude oil. Model terbaik adalah PCR-D1 yang tergolong dalam quantitative prediction dengan latent variabel 9, nilai koefisien korelasi (r) sebesar 0,90, nilai koefisien determinasi (R2) sebesar 0,82, nilai root mean square error calibration (RMSEC) sebesar 12,52 dan nilai residual predictive deviation (RPD) sebesar 2,42.

 Application Of Infrared Technology For Estimating Patchouli Alcohol Content In Aceh Patchouli Oil


Abstract. The main component contained in patchouli oil is patchouli alcohol (PA). PA content is the main indicator determining the quality, quality and price of patchouli oil where the level cannot be less than 30%. Measurement of PA levels is generally carried out by laboratory tests using Gas Chromatography – Mass Spectroscopy (GC-MS) which requires a long time and is expensive. Therefore, a more efficient and non-destructive way is needed to test the quality of Aceh patchouli oil, one of which is using NIRS technology. This study aims to examine the capabilities of NIRS technology using the principal component regression (PCR) method in processing spectrum data to predict patchouli alcohol content as an indicator of quality in patchouli crude oil. This study used patchouli oil in the form of crude oil, part of which was fractionated using a rotary vacuum evaporator. Patchouli crude oil and fractionated oil were then tested by GCMS to determine their PA levels. Patchouli oil spectra measurements in this study used Thermo Nicolet Antaris II TM. Spectrum data was processed using Unscrambler X software version 10.3. This study used the principal component regression (PCR) method with the help of two pre-treatments, namely mean normalization and derivative 1. The results of this study showed that PCR was able to predict the amount of PA content in patchouli crude oil. The best model is PCR-D1 which belongs to the quantitative prediction category with a latency variable of 9, a correlation coefficient (r) of 0.90, a coefficient of determination (R2) of 0.82, a root mean square error calibration (RMSEC) value of 12, 52 and a residual predictive deviation (RPD) value of 2.42


Keywords


NIRS; Nilam; Patchouli Alcohol; NIRS; Patchouli; Patchouli Alcohol

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DOI: https://doi.org/10.17969/jimfp.v8i3.25639

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E-ISSN: 2614-6053 2615-2878 Statistic Indexing | Citation


Alamat Tim Redaksi:
Fakultas Pertanian,Universitas Syiah Kuala
Jl. Tgk. Hasan Krueng Kalee No. 3, Kopelma Darussalam,
Banda Aceh, 23111, Indonesia.
Email:jimfp@usk.ac.id