1 Introduksi
1.1 Latar Belakang
Plate count (CFU enumeration) adalah metode klasik kuantifikasi populasi mikroba dengan menanam serial dilution sampel ke agar plate dan menghitung Colony Forming Unit (CFU) setelah inkubasi (Andrews, 2002; ISO 4833-1:2013). Walaupun teknologi modern (qPCR, flow cytometry, ATP bioluminescence) memberikan hasil lebih cepat, plate count tetap gold standard regulator (FDA BAM, ISO, AOAC) karena memberi CFU viable (bukan total DNA termasuk yang mati).
Konversi count plate ke CFU per gram (atau per mL) memerlukan: (i) dilution factor dari serial dilution, (ii) plate volume yang diinokulasikan, (iii) counting rule: pakai plate dengan 30–300 koloni (FDA BAM range), atau 15–150 (ISO 4833 strict). Bila dua dilution memenuhi, pakai weighted average ISO 4833.
1.2 Tujuan Modul
Modul Colony Count / CFU Calculator di SQalytics ditujukan untuk:
- Menghitung CFU/g (atau CFU/mL) dari multi-dilution plate count.
- Menerapkan ISO 4833 weighted average rule bila dua dilution dalam range valid.
- Memvalidasi count range (30–300 default, atau custom) dan flag TFTC / TNTC.
- Mendukung Miles & Misra drop plate sebagai alternative.
- Audiens: mahasiswa S1 mikrobiologi pertama kali plate count, analis QC pangan, dan teknisi laboratorium.
1.3 Posisi di Antara Alternatif
Pilih Colony Count / CFU Calculator untuk konversi count ke CFU/g standar. Untuk kurva pertumbuhan time-course, pakai Microbial Growth Curves. Untuk inaktivasi termal, pakai D-value / Z-value / F-value. Untuk shelf life prediction mikrobial, pakai Predictive Microbiology / Shelf-Life Modeling. Untuk uji statistik perbandingan CFU, lanjut ke Compare Many Groups setelah log-transformation.
2 Metode
2.1 Dasar Teoretis
Standard plate count formula (Andrews, 2002):
$$ \text{CFU/g} = \frac{\sum N}{\sum (n_i \cdot V_i \cdot d_i)} \times \frac{1}{\text{sample weight factor}} $$Simplified untuk single dilution accepted plate:
dengan $N$ count plate, $V_{\text{plated}}$ volume diinokulasikan (mL), dan $d$ dilution factor (mis. $10^{-5}$ → $d = 10^{-5}$).
ISO 4833 weighted average bila dua dilution dalam range valid:
$$ \text{CFU/g} = \frac{\sum N_i}{(n_1 + 0.1 n_2) \cdot V \cdot d_1} $$dengan $n_1$ jumlah plate dilution rendah (lebih dekat ke sample), $n_2$ jumlah plate dilution tinggi, $d_1$ dilution factor terendah.
Contoh: dilution $10^{-4}$ (2 plate, count 245 + 252) dan $10^{-5}$ (2 plate, count 24 + 26). Dilution $10^{-5}$ di luar range (< 30), jadi pakai $10^{-4}$ saja:
$$ \text{CFU/g} = \frac{245 + 252}{2 \cdot 1 \text{ mL} \cdot 10^{-4}} = \frac{497}{2 \times 10^{-4}} = 2.485 \times 10^6 \text{ CFU/g} $$Counting range standar:
| Source | Range valid | Catatan |
|---|---|---|
| FDA BAM | 25–250 | Loose |
| ISO 4833-1 | 15–150 | Strict (lebih konservatif) |
| AOAC | 30–300 | Most common practice |
Miles & Misra drop plate (Miles, Misra, & Irwin, 1938) — alternative untuk low count:
$$ \text{CFU/g} = N_{\text{drop}} \cdot \frac{1}{V_{\text{drop}} \cdot d} $$dengan $V_{\text{drop}} = 0.02$ mL drop volume. Drop plate efficient untuk screening banyak dilution dengan 1 petri (5–6 drops).
Coefficient of variation (CV) duplicate plates untuk QC: target CV ≤ 25% (FDA BAM).
Log transformation untuk uji statistik (CFU distribusi log-normal):
$$ \log_{10} \text{CFU/g} = \log_{10} N - \log_{10} V - \log_{10} d $$2.2 Persamaan Inti
Single plate CFU/g: $N / (V \cdot d)$
ISO 4833 weighted: $\sum N_i / [(n_1 + 0.1 n_2) \cdot V \cdot d_1]$
Miles & Misra drop: $N_{\text{drop}} / (V_{\text{drop}} \cdot d)$
Log transformation: $\log_{10} \text{CFU/g} = \log_{10}(N / (V d))$
Acceptable CV duplicate: $\leq 25\%$ (FDA BAM).
2.3 Asumsi & Batas Validitas
| Asumsi | Konsekuensi jika dilanggar | Cara cek di SQalytics |
|---|---|---|
| Count dalam range valid (15–300) | Bias kuantifikasi | Auto-flag TFTC / TNTC |
| Replicate plates per dilution $\geq 2$ | SD tidak teridentifikasi | Modul flag |
| Dilution akurat (pipet kalibrasi) | Systematic shift | Catat pipette ID |
| Plate uniform spread / poured | Counting bias | SOP plating |
| Incubation $T$, $t$ konstan | Colony size variation | Catat kondisi inkubasi |
| Distribusi koloni Poisson (independent) | Aggregates underestimate | Visual inspection |
3 Cara Kerja
3.1 Step-by-Step di SQalytics
- Buka
Colony Count / CFU Calculatordari domain Mikrobiologi Pangan. - Pilih plate method:
Standard plate (pour/spread)atauMiles & Misra drop. - Pilih counting range:
FDA BAM (25–250),ISO 4833 (15–150),AOAC (30–300), atau custom. - Muat tabel:
Sample,Dilution_factor(mis.1e-5),Count_plate_1,Count_plate_2,Volume_plated_mL. - Klik
Calculate CFU. - Tinjau hasil:
- Tab
Result Table— CFU/g per dilution + flag (valid / TFTC / TNTC). - Tab
ISO 4833 Weighted— bila multi-dilution valid. - Tab
Log Transform— log CFU/g untuk statistik. - Tab
QC Check— CV duplicate per dilution.
- Tab
3.2 Template Tabel Input + Contoh Data Sintetis
| Kolom | Tipe | Wajib | Catatan |
|---|---|---|---|
Sample | category | ✓ | ID sampel |
Dilution_factor | numeric | ✓ | $10^{-5}$ misal |
Count_plate_1 | numeric | ✓ | Replicate 1 |
Count_plate_2 | numeric | ✓ | Replicate 2 |
Volume_plated_mL | numeric | ✓ | 1.0 default |
Contoh data (TPC daging giling fresh, 3 dilution):
| Sample | Dilution_factor | Count_plate_1 | Count_plate_2 | Volume_plated_mL |
|---|---|---|---|---|
| Daging-A | 1e-3 | TNTC | TNTC | 1.0 |
| Daging-A | 1e-4 | 245 | 252 | 1.0 |
| Daging-A | 1e-5 | 24 | 26 | 1.0 |
3.3 Contoh Luaran
| Sample | Dilution | Count avg | Valid range? | CFU/g (raw) |
|---|---|---|---|---|
| Daging-A | 1e-3 | TNTC | ✗ Discard | — |
| Daging-A | 1e-4 | 248.5 | ✓ (25–250 FDA BAM) | $2.49 \times 10^6$ |
| Daging-A | 1e-5 | 25.0 | ✓ (just within) | $2.50 \times 10^6$ |
ISO 4833 weighted (both dilutions valid):
$$ \text{CFU/g} = \frac{(245 + 252) + (24 + 26)}{(2 + 0.1 \cdot 2) \cdot 1 \cdot 10^{-4}} = \frac{547}{2.2 \times 10^{-4}} = 2.49 \times 10^6 $$Final report:
| Sample | TPC (CFU/g) | log₁₀ CFU/g | QC status |
|---|---|---|---|
| Daging-A | $2.49 \times 10^6$ | 6.396 | ✓ Pass (within spec daging segar < 10⁷) |
Compare Many Groups dengan log CFU sebagai response."4 Kesimpulan
4.1 Relevansi Real-World
- QC mikrobial pangan release — TPC, coliform, E. coli, yeast/mold.
- Storage study shelf life — count per timepoint untuk
Microbial Growth Curves. - Susu pasteurisasi monitoring — TPC vs PMO limit (Pasteurized Milk Ordinance).
- Water quality — fecal coliform untuk drinking water.
- Pharmaceutical bioburden — USP <61> microbial limits.
- Cosmetic preservation — challenge test enumeration.
4.2 Where to Go from Here
⚙ Troubleshooting Cepat
r Riwayat Revisi
| Tanggal | Revisi | Penulis |
|---|---|---|
| 2026-05-12 | Draft v2 publikasi (KaTeX standard + ISO 4833 weighted + Miles & Misra + APA ISO/FDA BAM/Miles) | Claude |
| 2026-05-12 | Konversi MD → HTML (W3 Microbiology batch) | Claude |
4 Referensi
- Andrews, W. H. (2002). Manual of methods for the microbiological examination of foods. In FDA Bacteriological Analytical Manual (8th ed.). FDA.
- International Organization for Standardization. (2013). ISO 4833-1: Microbiology of the food chain — Horizontal method for the enumeration of microorganisms — Part 1: Colony count at 30 °C by the pour plate technique. ISO.
- Miles, A. A., Misra, S. S., & Irwin, J. O. (1938). The estimation of the bactericidal power of the blood. Journal of Hygiene, 38(6), 732–749. https://doi.org/10.1017/S002217240001158X
- Sutton, S. (2011). Accuracy of plate counts. Journal of Validation Technology, 17(3), 42–46.
- Madigan, M. T., Bender, K. S., Buckley, D. H., Sattley, W. M., & Stahl, D. A. (2021). Brock biology of microorganisms (16th ed.). Pearson.