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All Journal Journal of Food and Pharmaceutical Science Indonesian Journal of Chemistry JMM (Jurnal Masyarakat Mandiri) Jurnal Penelitian dan Pengabdian Kepada Masyarakat UNSIQ Indonesian Journal of Chemical Analysis (IJCA) Journal of Food and Pharmaceutical Sciences
Anggita Rosiana Putri
Department Of Pharmacy, Faculty Of Medicine, Universitas Brawijaya, Jl. Veteran, Malang 65145, Indonesia
Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Environmental Science Immunology & microbiology Materials Science & Nanotechnology Medicine & Pharmacology Neuroscience Other

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Detection of Adulterants Metanil Yellow in Turmeric Powder Using Fourier Transform Infrared (FTIR) Spectroscopy Combined with Chemometrics OPLS-DA and PLS Dia, Syahril Maulid; Putri, Anggita Rosiana; Muchlashi, Luthfi Ahmad
Indonesian Journal of Chemical Analysis (IJCA) Vol. 7 No. 1 (2024): Indonesian Journal of Chemical Analysis
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/ijca.vol7.iss1.art7

Abstract

Turmeric powder (Curcuma longa L.) is often used for food coloring and flavoring. The high demand for turmeric powder has led to adulteration, one of which is metanil yellow. This study aims to detect metanil yellow dye in turmeric powder using Infrared Spectroscopy (FT-IR) and Chemometrics. The chemometrics model was built by preparing turmeric powder and metanil yellow in the concentration range of 0-50% (w/w). Data was processed using multivariate calibration using OPLS-DA (Orthogonal Partial Least Squares Discriminant Analysis) and PLS (Partial Last Square). The results obtained from OPLS-DA processing of market samples 1 and 2 are estimated to be pure turmeric powder, and samples 3 to 10 are adulterated. From the PLS results, the best calibration model was obtained at wave numbers 1199-539 cm-1 with R2 values for calibration and validation of 0.9967 and 0.9970, respectively, with RMSEC of 2.48 and RMSEP of 6.35. The PLS results showed that in sample 3 containing metanil yellow, in samples 4 to 10, no metanil yellow was detected. The ingredients added were not metanil yellow. It was concluded that FTIR combined with chemometrics could detect the metanil yellow in turmeric powder.
Detection of Mefenamic Acid in Hyperuricemia Herbal Medicine using UV-Vis Spectrophotometry and FTIR Spectroscopy Combined with Chemometrics Putri, Anggita Rosiana; Kalima, Nanda; Ihsan, Bachtiar Rifai Pratita; Hardaniani, Prisma Trida
Journal of Food and Pharmaceutical Sciences Vol 13, No 4 (2025): J.Food.Pharm.Sci
Publisher : Integrated Research and Testing Laboratory (LPPT) Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jfps.23558

Abstract

The adulteration of herbal medicines with synthetic drugs poses a serious risk to public health. Mefenamic acid, a non-steroidal anti-inflammatory drug (NSAID), is sometimes illicitly added to herbal products marketed for hyperuricemia to enhance their therapeutic effect. This study aims to detect the presence of mefenamic acid in herbal medicines for hyperuricemia using a combination of UV-Vis spectrophotometry and Fourier Transform Infrared (FTIR) spectroscopy coupled with chemometric. approaches, specifically Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA) and Partial Least Squares (PLS). The UV-Vis method was validated and showed good linearity with an R² value of 0.999. Accuracy testing revealed recovery rates ranging from 98.75% to 101.92%, while precision testing produced %RSD values between 0.86% and 1.05%. The limit of detection (LOD) and limit of quantification (LOQ) were found to be 0.235 ppm and 0.711 ppm, respectively. FTIR spectral data were processed using OPLS-DA and PLS to classify and predict adulterated samples. The validated OPLS-DA model demonstrated strong classification performance, effectively distinguishing between adulterated and non-adulterated samples. Furthermore, the detection results from UV-Vis, OPLS-DA, and PLS methods were consistent, confirming the reliability of the integrated approach.
Detection of Mefenamic Acid in Hyperuricemia Herbal Medicine using UV-Vis Spectrophotometry and FTIR Spectroscopy Combined with Chemometrics Putri, Anggita Rosiana; Kalima, Nanda; Ihsan, Bachtiar Rifai Pratita; Hardaniani, Prisma Trida
Journal of Food and Pharmaceutical Sciences Vol 13, No 4 (2025): J.Food.Pharm.Sci
Publisher : Integrated Research and Testing Laboratory (LPPT) Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jfps.23558

Abstract

The adulteration of herbal medicines with synthetic drugs poses a serious risk to public health. Mefenamic acid, a non-steroidal anti-inflammatory drug (NSAID), is sometimes illicitly added to herbal products marketed for hyperuricemia to enhance their therapeutic effect. This study aims to detect the presence of mefenamic acid in herbal medicines for hyperuricemia using a combination of UV-Vis spectrophotometry and Fourier Transform Infrared (FTIR) spectroscopy coupled with chemometric. approaches, specifically Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA) and Partial Least Squares (PLS). The UV-Vis method was validated and showed good linearity with an R² value of 0.999. Accuracy testing revealed recovery rates ranging from 98.75% to 101.92%, while precision testing produced %RSD values between 0.86% and 1.05%. The limit of detection (LOD) and limit of quantification (LOQ) were found to be 0.235 ppm and 0.711 ppm, respectively. FTIR spectral data were processed using OPLS-DA and PLS to classify and predict adulterated samples. The validated OPLS-DA model demonstrated strong classification performance, effectively distinguishing between adulterated and non-adulterated samples. Furthermore, the detection results from UV-Vis, OPLS-DA, and PLS methods were consistent, confirming the reliability of the integrated approach.
Co-Authors Abdul Rohman Abdul Rohman Abdul Rohman Anjar Windarsih Any Guntarti Awidarta, Kevin Citra Ariani Edityaningrum, Citra Dia, Syahril Maulid Elvira, Avika Rizky Fernandez, Ceferino Carrera Hardaniani, Prisma Trida Huda, Laili Fadhotun Ihsan, Bachtiar Rifai Pratita Irnawati Irnawati Jang, Young Pyo Kalima, Nanda Khaerunisa, Intan Laela Hayu Nurani Muchlashi, Luthfi Ahmad Muh. Akbar Bahar, Muh. Akbar Palma, Miguel Pratita Ihsan, Bachtiar Rifai Setyaningsih, Widiastuti Sugeng Riyanto Ulum, Muhammad Bachrul VALENTINA YURINA