Article Per Year (5 Year)
p-Index From 2020 - 2025
0.61
P-Index
This Author published in this journals
All Journal Indonesian Journal of Halal Research Narra X
Prasetyo, Siswoyo
Unknown Affiliation
Religion Biochemistry, Genetics & Molecular Biology Chemistry Environmental Science Immunology & microbiology Materials Science & Nanotechnology Medicine & Pharmacology Physics Public Health Other

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Novel approach of determining the best absorbent for the quantification of aqueous analyte using laser-induced breakdown spectroscopy (LIBS): Zeolite versus bentonite Ahmad, Khairunnas; Prasetyo, Siswoyo; Zaitun, Zaitun; Hajashafira, Ceudah
Narra X Vol. 2 No. 2 (2024): August 2024
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narrax.v2i2.159

Abstract

Heavy metal pollution, particularly from sources like lead (Pb), poses significant risks to human health and the environment. Monitoring heavy metal contamination is essential, and Laser-Induced Breakdown Spectroscopy (LIBS) is a promising technique for this purpose. However, matrix effects, particularly from adsorbent materials like zeolite and bentonite, can influence the accuracy of LIBS measurements. This study aims to investigate the matrix effects of zeolite and bentonite on the measurement of Pb using LIBS, focusing on how the physical and chemical properties of these materials impact the detection of Pb emission lines. Zeolite and bentonite samples were prepared by grinding and sieving to obtain powders with particle sizes less than 74 µm. These powders were then mixed with varying weights of lead nitrate (Pb(NO3)2) and pelletized to create uniform samples. The pellets were analyzed using LIBS, employing a Q-switched Nd:YAG laser. The emitted plasma light was collected and transmitted to a spectrometer equipped with an intensified charge-coupled device (ICCD) camera. The spectral data were accumulated over 10 laser shots to ensure accuracy in detecting the elemental composition. The study found that the matrix effects from bentonite and zeolite significantly influenced the intensity and clarity of Pb emission lines. Bentonite showed a stronger influence on Pb detection, particularly due to the presence of Fe and Ti, which affected the Pb I lines at 405.8 nm and 368.3 nm. In contrast, zeolite exhibited fewer interferences, but the matrix effect was still evident. The matrix effects of zeolite and bentonite, derived from their physical and chemical properties, significantly impact Pb measurements using LIBS. Further research into different adsorbents and their matrix effects is warranted to improve the accuracy of LIBS in heavy metal analysis.
Novel approach of determining the best absorbent for the quantification of aqueous analyte using laser-induced breakdown spectroscopy (LIBS): Zeolite versus bentonite Ahmad, Khairunnas; Prasetyo, Siswoyo; Zaitun, Zaitun; Hajashafira, Ceudah
Narra X Vol. 2 No. 2 (2024): August 2024
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narrax.v2i2.159

Abstract

Heavy metal pollution, particularly from sources like lead (Pb), poses significant risks to human health and the environment. Monitoring heavy metal contamination is essential, and laser-induced breakdown spectroscopy (LIBS) is a promising technique for this purpose. However, matrix effects, particularly from adsorbent materials like zeolite and bentonite, can influence the accuracy of LIBS measurements. This study aims to investigate the matrix effects of zeolite and bentonite on the measurement of Pb using LIBS. It is focusing on how the physical and chemical properties of these materials impact the detection of Pb emission lines. Zeolite and bentonite samples were prepared by grinding and sieving to obtain powders with particle sizes less than 74 µm. These powders mixed with varying weights of lead nitrate (Pb(NO3)2) and pelletized to create uniform samples. The pellets were analyzed using LIBS, employing a Q-switched Nd:YAG laser. The emitted plasma light was collected and transmitted to a spectrometer equipped with an intensified charge-coupled device (ICCD) camera. The spectral data were accumulated over 10 laser shots to ensure accuracy in detecting the elemental composition. The study found the matrix effects from bentonite and zeolite have significant influence on the intensity and clarity of Pb emission lines. Matrix effects on bentonite indicated a stronger influence on Pb detection compare to zeolite. It mainly due to the presence of Fe and Ti, which is affected the Pb I lines at 405.8 nm and 368.3 nm. In contrast, zeolite exhibited fewer interferences, but the matrix effect was still obvious. These matrix effects-derived interreferences can be associated with the physical and chemical properties of the adsorbents. Further research into different adsorbents and their matrix effects is warranted to improve the accuracy of LIBS in heavy metal analysis.
Laser-Induced Breakdown Spectroscopy (LIBS) Coupled with PCA and PLS for Identification and Adulteration Detection of Halal Meat Products Ahmad, Khairunnas; Saiful, Saiful; Abdulmadjid, Syahrun Nur; Prasetyo, Siswoyo
Indonesian Journal of Halal Research Vol. 7 No. 2 (2025): August
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/ijhar.v7i2.42382

Abstract

Pork adulteration in halal meat is a significant issue in Indonesia, emphasizing the need for accurate methods to ensure product authenticity and protect consumers. This study aims to identify various meat products and evaluate the use of Laser-Induced Breakdown Spectroscopy (LIBS) in combination with Principal Component Analysis (PCA) and Partial Least Squares (PLS) for detecting meat adulteration. Samples were collected from various sources and analyzed using LIBS, with PCA used to distinguish meat species qualitatively and PLS to assess adulteration quantitatively. LIBS effectively distinguishes meat types, while PCA successfully identifies meat samples based on the intensity of the elemental compositions. PLS achieves high accuracy R2 > 0.99 in detecting pork adulteration in beef, buffalo, mutton, and chicken, surpassing single-line emission regression methods with low LOD (2.65%, 4.69%, 2.38%, and 3.41%) and LOQ (8.08%, 14.23%, 7.23%, and 10.34%) values. This study demonstrates that LIBS combined with PCA and PLS is a feasible and accurate method for identifying various meat types and detecting pork adulteration. The approach offers a reliable solution for addressing meat adulteration issues and ensuring halal application of LIBS with PCA and PLS for pork detection and quantification in halal meat product compliance.
Co-Authors Ahmad, Khairunnas Hajashafira, Ceudah Saiful Saiful Syahrun Nur Abdulmadjid Zaitun Zaitun