PAPARAN BAHAN KIMIA DI TEMPAT KERJA DAN MEKANISME STRES OKSIDATIF: TINJAUAN BIOMEDIK DALAM PERSPEKTIF HIGIENE INDUSTRI
Abstract
Organisasi Perburuhan Internasional memperkirakan sekitar 2,93 juta pekerja meninggal setiap tahun akibat kecelakaan dan penyakit terkait kerja, dengan penyakit bukan cedera menyumbang mayoritas beban, sementara pajanan udara tempat kerja dikaitkan dengan sekitar 450.000 kematian. Logam berat, pelarut dan senyawa organik volatil (VOCs), pestisida, serta hidrokarbon aromatik polisiklik (PAHs) memicu efek toksik yang sebagian besar bermuara pada stres oksidatif. Tinjauan ini menyintesis bukti biomedik mutakhir mengenai hubungan pajanan bahan kimia okupasional dengan stres oksidatif serta implikasinya bagi praktik higiene industri, melalui tinjauan literatur sistematis yang mengikuti panduan PRISMA 2020 dengan kerangka PECO. Penelusuran pada PubMed, Scopus, Google Scholar, dan ScienceDirect untuk artikel terbitan 2023-2025 mengidentifikasi 412 rekaman, dan 18 artikel memenuhi kriteria kelayakan lalu disintesis secara naratif- tematik, meta-analisis tidak dilakukan karena heterogenitas biomarker dan satuan pengukuran. Bukti yang terkumpul konsisten menunjukkan peningkatan penanda kerusakan oksidatif (8-OHdG, malondialdehid/MDA, 8-isoprostan) dan penurunan kapasitas antioksidan (SOD, katalase, GSH, PON1) pada pekerja terpajan. Korelasi kobalt- 8-OHdG mencapai R=0,836 (p<0,001), dan MDA terbukti menjadi mediator penuh jalur pajanan benzena-toluena-xilena menuju kenaikan tekanan darah diastolik pada 841 pekerja. Peningkatan penanda oksidatif tetap terjadi meskipun kadar VOC berada di bawah Nilai Ambang Batas, sedangkan silika kristalin meningkatkan risiko silikosis di atas ambang pajanan kumulatif ±1 mg/m³-tahun. Dengan demikian, stres oksidatif merupakan mekanisme pemersatu toksisitas bahan kimia okupasional dan berperan sebagai mediator kausal, bukan sekadar penanda korelatif. Kepatuhan terhadap Nilai Ambang Batas tidak menjamin ketiadaan efek biologis, sehingga integrasi biomonitoring efek dini, hierarki pengendalian, dan pemodelan prediktif berbasis kecerdasan buatan diperlukan untuk pencegahan penyakit akibat kerja yang lebih proaktif.Keywords
stres oksidatif, pajanan bahan kimia, higiene industri, reactive oxygen species, biomonitoring, penyakit akibat kerja
References
- [1] Jomova, K., Raptova, R., Alomar, S. Y., Alwasel, S. H., Nepovimova, E., Kuca, K., & Valko, M. (2023). Reactive oxygen species, toxicity, oxidative stress, and antioxidants: chronic diseases and aging. Archives of Toxicology, 97(10), 24992574. https://doi.org/10.1007/s00204-023-03562-9
- [2] Thomas, R. (2025). Antioxidants and Reactive oxygen species: Shaping Human Health and Disease Outcomes. International Journal of Molecular Sciences, 26(15), 7520. https://doi.org/10.3390/ijms26157520
- [3] D’Souza, L. C., Paithankar, J. G., Stopper, H., Pandey, A., & Sharma, A. (2024). Environmental Chemical-Induced Reactive oxygen species Generation and Immunotoxicity: A Comprehensive Review. Antioxidants & Redox Signaling. https://doi.org/10.1089/ars.2022.0117
- [4] Kolawole, T. A., Palacios, J., Husaini, D. C., & Nwokocha, C. R. (2025). Inflammation and Oxidative Stress Biomarkers in Heavy Metal Toxicity: Bridging the Gap to Personalized Clinical Interventions. Journal of Applied Toxicology, 45(12), 25462579. https://doi.org/10.1002/jat.4874
- [5] Khadem, M., et al. (2025). Occupational Exposure to heavy metals and its association with DNA oxidative stress among urban green space workers. Scientific Reports, 15, 21585. https://doi.org/10.1038/s41598-025-05444-9
- [6] Sauvain, J.-J., Hemmendinger, M., Charreau, T., Jouannique, V., Debatisse, A., Suárez, G., Hopf, N. B., & Guseva Canu, I. (2024). Metal and oxidative potential Exposure through particle inhalation and oxidative stress biomarkers: a 2-week pilot prospective study among Parisian subway workers. International Archives of Occupational and Environmental Health, 97, 387400. https://doi.org/10.1007/s00420-024-02054-2
- [7] Ghahri, A., Seydi, P., Ranjbar, A., Hatami, H., Beheshti, T., & Seydi, E. (2024). Evaluation of Exposure to volatile organic compounds (BTEX) and Polycyclic Aromatic Hydrocarbons (PAHs) in gas station workers and oxidative stress assessment in Karaj city. Toxicology Reports, 12, 101767. https://doi.org/10.1016/j.toxrep.2024.101767
- [8] Putri, E. R. M., Sadewa, A. H., & Supangat. (2025). Influence of chronic pesticide Exposure on malondialdehyde and 8-OHdG levels among Wuluhan farmers, Jember, Indonesia: a cross-sectional study. BMC Pharmacology and Toxicology, 26, 165. https://doi.org/10.1186/s40360-025-01013-y
- [9] Alimohammadi, I., Rafieepour, A., Ashtarinezhad, A., et al. (2025). Occupational noise annoyance and sensitivity as potential contributors to oxidative stress in metal industry workers. Scientific Reports, 15, 30280. https://doi.org/10.1038/s41598-025-16023-3
- [10] Chen, K.-T., & Su, S.-B. (2025). A review of occupational noise-induced hearing loss: focus on mechanisms and preventive measures. British Medical Bulletin, 156(1), ldaf020. https://doi.org/10.1093/bmb/ldaf020
- [11] Kuntić, M., Hahad, O., Münzel, T., & Daiber, A. (2024). Crosstalk between oxidative stress and inflammation caused by noise and air pollutionimplications for neurodegenerative diseases. Antioxidants, 13(3), 266. https://doi.org/10.3390/antiox13030266
- [12] Boffetta, P., et al. (2025). Systematic review of the epidemiological evidence of associations between quantified occupational Exposure to respirable crystalline silica and the risk of silicosis and lung cancer. Frontiers in Public Health, 13, 1554006. https://doi.org/10.3389/fpubh.2025.1554006
- [13] Hanif, A., Okafor, D. K., Katyal, G., Kaur, G., Ashraf, H., Bodapati, A., & Nath, T. S. (2024). Shifting Rhythms: A Systematic Review Exploring the Multifaceted Effects of Shift Work and Circadian Disruption on Employee Cardiovascular Health. Cureus, 16(10), e71003. https://doi.org/10.7759/cureus.71003
- [14] Ahmadinejad, P., et al. (2025). The role of artificial intelligence in occupational health in radiation Exposure: a scoping review of the literature. Environmental Health, 24, 32. https://doi.org/10.1186/s12940-025-01186-3
- [15] Armenteros-Cosme, P., Arias-González, M., Alonso-Rollán, S., Márquez-Sánchez, S., & Carrera, A. (2025). Advancements in Artificial Intelligence and Machine learning for Occupational Risk Prevention: A Systematic Review on Predictive Risk Modeling and Prevention Strategies. Sensors, 25(17), 5419. https://doi.org/10.3390/s25175419
- [16] Zhu, J., Wang, L., Yu, Z., Liu, J., Wu, S., Li, J., Shan, D., & Jian, Z. (2025). Machine learning-based prediction of occupational Exposure risks among oral healthcare workers. Frontiers in Public Health, 13, 1713841. https://doi.org/10.3389/fpubh.2025.1713841
- [17] Umićević, N., Kotur-Stevuljević, J., Baralić, K., Đukić-Ćosić, D., Antonijević Miljaković, E., Buha Đorđević, A., Ćurčić, M., Bulat, Z., & Antonijević, B. (2024). Increased oxidative stress in shoe industry workers with low-level Exposure to a mixture of volatile organic compounds. Archives of Industrial Hygiene and Toxicology (Arhiv za Higijenu Rada i Toksikologiju), 75(1), 5160. https://doi.org/10.2478/aiht-2024-75-3804
- [18] Zhou, B., Wu, Q., Fan, S., Su, Z., Lu, C., Peng, J., Zhang, N., Jin, L., Yu, D., & Zhang, J. (2024). Mediating effect of oxidative stress on blood pressure elevation in workers exposed to low concentrations of benzene, toluene, and xylene (BTX). Scientific Reports, 14, 26139. https://doi.org/10.1038/s41598-024-77689-9