Claim Missing Document
Check
Articles

Found 2 Documents
Search

PENGUJIAN DAN PEMBUATAN MESIN KONVERSI LIMBAH PLASTIK MENJADI BAHAN BAKAR MINYAK DENGAN PEMANFAATAN LIMBAH OLI SEBAGAI BAHAN BAKAR UTAMA Saputra, Indra Wahyu; Maulana, Ikhsan; Santosa, Aa
AME (Aplikasi Mekanika dan Energi): Jurnal Ilmiah Teknik Mesin Vol. 8 No. 2 (2022)
Publisher : Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/ame.v8i2.4110

Abstract

Limbah plastik merupakan hal umum yang ada disekitar kita. Penggunaan yang berlebih dapat mempengaruhi dan mencemari lingkungan. Oleh karena itu harus dilakukan proses recycling. Penelitian ini menggunakan metode pirolisis untuk mengubah plastik menjadi bahan bakar. Jenis plastik yang digunakan adalah PET (polyethylene Terephthalate). Pembuatan alat terdiri dari ruang pembakaran, reaktor, pipa penghubung, kondenser dan wadah minyak hasil pirolisis. Metode penelitian ini melakukan proses pirolisis pada temperatur 430⁰C pada waktu reaksi 0-75 menit. Pengujian yang dilakukan menggunakan 3 kg sampah plastik PET dengan pengaturan katup sebesar ¼ , ½  dan 1 yang nantinya akan menghasilkan minyak sebanyak 220 mL dari bukaan ¼ dengan waktu 70 menit, sebanyak 280 mL dari bukaan ½ dengan waktu 60 menit dan 230 mL dari bukaan penuh dengan waktu 75 menit. Dari hasil pengujian dapat ditentukan bahwa hasil yang paling optimal adalah pengaturan katup sebesar ½ karena dapat menghasilkan minyak yang lebih banyak dalam waktu yang singkat.
Expression of Plasma miRNA-133a is Significantly Lower in Acute Coronary Syndrome (ACS) than in Healthy/Non-ACS Subjects Rachmawati, Ermin; Sargowo, Djanggan; Saputra, Indra Wahyu; Riskiyah, Riskiyah; Handirosiyanto, Ikhwan; Hakim, Arief Rachman; Ismail, Mahrus; Tarsadi, Tarsadi; Maulana, Syafiq; Ahdi, Iwal Reza; Puspitasari, Alvina; Wardhani, Syanindita Puspa
The Indonesian Biomedical Journal Vol 16, No 5 (2024)
Publisher : The Prodia Education and Research Institute (PERI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18585/inabj.v16i5.3243

Abstract

BACKGROUND: The current biomarker diagnostic modality for acute coronary syndrome (ACS), cardiac troponin, has several limitations. Emerging studies showed that micro-RNA (miR)-133a was released from infarcted heart to circulation, yet the diagnostic value of miR-133a in ACS demonstrated a conflicting result. Therefore, this study was conducted to investigate the potency of plasma miR-133a as a biomarker candidate of ACS.METHODS: This was a case-controlled study, involving ACS and control subjects. The sociodemographic and clinical characteristics were assessed through medical records. A final of 39 ACS and 31 control subjects (consist of healthy and non-ACS subjects) passed the selection procedure by demonstrating a high purity of RNA. miR-133a from ACS and control subjects were detected by quantitative polymerase chain reaction (qPCR). Expression of miR-133a was evaluated for sensitivity and specificity as an ACS biomarker diagnostic using the receiver operating characteristic (ROC) curve.RESULTS: Plasma miR-133a expression was stably found in ACS subjects. The plasma miR-133a level was lower in ACS than in control subjects. miR-133a effectively distinguished ACS subjects from healthy subjects (AUC=0.911) and exhibited high diagnostic performance, with a sensitivity of 87.1% and specificity of 100% at a cut-off value of 44.035. In an extended model including both control subjects (healthy and non-ACS with comorbid conditions), miR-133a maintained diagnostic significance (AUC=0.874), showing sensitivity of 76.9% and specificity of 100% at a cut-off value of 11.69.CONCLUSION: Plasma miR-133a is significantly lower and effectively distinguishes ACS patients from both healthy individuals and non-ACS individuals with comorbid, with a cut-off value of 11.69. Therefore, plasma miR-133a is suggested to be a good candidate for diagnostic biomarkers of ACS.KEYWORDS: circulating miRNA, miRNA-133a, acute coronary syndrome, diagnostic biomarker