Pengembangan Metode Spektrofotometer UV-Vis Untuk Menentukan Kadar Boraks Dengan memanfaatkan Senyawa antosianin dari Ekstrak Buah Naga Sebagai Indikator
Bibliographic record
Abstract
Belitz, H. D. and Grosch, W., 1999, Food Chemistry, 2nd Edition, Springer, GermanyCitramukti, I. 2008. Ekstraksi dan uji kualitas pigmen antosianin pada kulit buah naga merah(Hylocereus costaricensis.). Skripsi.Jurusan Teknologi HasilPertanian, Fakultas Pertanian, Universitas Muhammadiyah Malang. Malang.Dreisbach, R.H.Handbook of Poisoning, 8th ed. Lange Medical Publication,Los Altos,Calirornia.1974; 314-315Flanaga, R.J.,Braithwaite,R.A.,Brown,S.S.,Widdop,B.,de Wolff,F.A.Basic AnalyticalToxicology, World Healt Organization. Geneva1995; 85Fuad, N.R., 2014, Identifikasi Kandungan Boraks Pada Tahu Pasar Tradisional Di DaerahCiputat: Skripsi. Jakarta. Fakultas Kedokteran dan Ilmu KesehatanGoodman, LS,, Gilman, A. The Pharmacological Basis of Therapeutics 5th ed. MacmillanPublishing Co.,Inc,NY.1975; 994 – 995.Gosselin, R.E.,Smith,Robert P.,Hodge,H.C.,Clinical Toxicology of CommercialProducts, 5th ed London.66-68.Haddad, L.M.,Winchester,J.F. Borats on Clinical Management of Poisoning and Drug Overdose.WB Saunders Co. Philadelphia-London-Montreal- Toronto-Sydney-Tokyo.1990; 1447-1449.Harborne, J. B.,1987, Metode Fitokimia Edisi ke-2, a.b. Padmawinata, K., Soediro, I., InstitutTeknologi Bandung, BandungHendayana, Sumar.1994.Kimia Analitik Instrumen.Semarang:IKIP Semarang Press. Khopkar, S.M. 1983. Konsep Dasar Kimia Analitik (Terjemahan). Bombay : IndianInstitute of Technology.Kristanto, D. 2008. Buah Naga: Pembudidayaan di Pot dan di Kebun. Jakarta: PenebarSwadaya,Li, C.W., et al. 2006. Antioxidant and antiproliferative activities of red pitaya. JournalFood Chemistry. Vol 95: 319-327.Markakis, P. 1982. Anthocyanins as Food Additives. Di dalam Anthocyanins as Food Colors.Markakis, P. (ed). 1982. Academic Press. New York.Mulyono, HAM. 2012. Membuat Reagen Kimia di Laboratorium. Jakarta : PT BumiAksaraNaderi, Nassim et al. 2012. Caracterication and Quantification of Dragon Fruit(Hylocereus polyrhzus) Betacyanin Pigments Extracted by Two Procedures. PertanikaJ.Trop.Agric 35(1): 33-40.Moulana, R, Efektivitas Penggunaan Jenis Pelarut dan Asam dalam Proses Ekstraksi PigmenAntosianin Kelopak Bungan Rosella, Jurnal Forum Teknik , Universitas Syah Kuala,Darussalam, Banda Aceh, Vol 4, No 3, 2012.Putra, A.K. 2009. Formalin dan Boraks pada Makanan. Bandung: Institut Teknologi BandungRein, M., 2005, Copigmentation Reactions and Color Stability of Berry Anthocyanin, AcademicDissertation, Helsinki: University of HeslinkiReynold, J. E. F. Martindale The Extra Pharmacopoeia, 28th ed. The pharmaceutical Press.London. 1982; 337, 432.Swastika, S., Y. Nurmili dan S. Suhendri. 2012. Hama dan Penyakit Buah Naga. BalaiPengkajian Teknologi Pertanian Riau - Badan Penelitian dan Pengembangan PertanianKementerian Pertanian. PekanbaruSvehla, G. 1990. Vogel : Buku Teks Analisis Anorganik Kualitatif Makro dan Semimikro.Bagian II. Jakarta : PT. Kalman Media PustakaTensiska, dkk., Ekstraksi Pewarna Dari Buah Arben dan Aplikasinya dalam Sistem Pangan,Jurnal Teknologi Pangan Fakultas Pertanian, UNPAD, Vol 6, 2006.Vargas, F. Natural Pigments: Carotenoids, Anthocyanins, and Betalains-Characteristics,Biosynthesis, Processing, and Stability. Critical Reviews in Food Science and Nutrition.2000; 40Waladi et al. 2015. Pemanfaatan Kulit Buah Naga Merah (Hylocereus polyrhizus) SebagaiBahan Tambahan Dalam Pembuatan Es Krim. Jom Faperta, Vol. 2, No. 1.Winarno,F.G dan Titi Sulistyowati,” Bahan Tambahan Untuk Makanan danKontaminasi”, Pustaka SinarHarapan, Jakarta,1992,101-08Winarno, F.G.,Sulistyowati, Titi. Bahan Tambahan untuk Makanan dan Kontaminan.Pustaka Sinar Harapan. Jakarta. 1994; 104-105, 108.Woodward,G, et al. 2009. "Anthocyanin stability and recovery: implications for theanalysisofclinical and experimental samples".J. Agric. FoodChem.57 (12):5271–8.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.011 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".