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Yulianita, Ilma
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Medicine & Pharmacology Public Health

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Pengembangan Metode Analisis Identifikasi Lidokain dalam Magic Tissue secara Kromatografi Gas Spektrofotometri Massa Yulianita, Ilma
Eruditio : Indonesia Journal of Food and Drug Safety Vol 5 No 2 (2025): Edisi Juni
Publisher : Badan Pengawas Obat dan Makanan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54384/eruditio.v5i2.202

Abstract

Antiseptic tissue to help clean the skin in men's sensitive areas (magic tissue) is a class I (low risk) health supplies product. Several marketed products are also claimed to have benefits for preventing premature ejaculation, which is suspected to be associated with the addition of lidocaine that is not disclosed on the product label. Lidocaine, an amide local anesthetic, is used in medicine to inhibit the sensation of pain. This research was conducted to determine the lidocaine content in magic tissue. The research method used is an experimental method, involving validation methods and testing samples. Lidocaine was identified using Gas Chromatography Mass Spectrometry, with test parameters of specificity, Limit of Detection, stability test, and resistance test. Sample preparation was carried out by dissolving one layer of tissue as a sample using methanol. The Standard Solution used is lidocaine compound with a concentration of 100 ppm. The results confirmed method specificity, as the sample and spiked solutions showed identical ion extracts, fragmentation, and intensity ratios to the standard solution. The LOD was determined to be 10 ppm, indicating sufficient sensitivity. Stability testing showed consistent mass-to-charge spectra between the first and fifth days, while resistance testing demonstrated that temperature variations affected peak retention times but not the mass spectra. Analysis of five different samples revealed positive results for lidocaine. Overall, these findings indicate that the developed GC-MS method meets validation parameters and can be reliably applied to identify lidocaine in magic tissue products.
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