Fast Colorimetric Method for Measuring Urinary Iodine
Notice bibliographique
Résumé
International groups recommend the following median urinary iodine concentration as the best single indicator of iodine nutrition in populations: severe deficiency, 0–0.15 μmol/L (0–19 μg/L); moderate deficiency, 0.16–0.38 μmol/L (20–49 μg/L); mild deficiency, 0.40–0.78 μmol/L (50–99 μg/L); optimal iodine nutrition, 0.79–1.56 μmol/L (100–199 μg/L); more than adequate iodine intake, 1.57–2.36 μmol/L (200–299 μg/L); and excessive iodine intake, ≥2.37 μmol/L (≥300 μg/L) (1). The range in which the median falls is more important than the precise number (2)(3). Many methods for assessing urinary iodine exist (3)(4)(5)(6)(7)(8), most based on the Sandell–Kolthoff reaction (9), in which iodide catalyzes the reduction of ceric ammonium sulfate (yellow) to the colorless cerous form in the presence of arsenious acid. Although iodide is the chemical form for both the catalytic reaction and in urine, some preliminary treatment is needed to rid urine of impurities, most commonly by acid digestion (3)(5). We have extended previous approaches (5)(6)(10) with improved conditions and here present a new method (“Fast B”) that is rapid, inexpensive, reliable, and flexible. The equipment required for the Fast B method includes a heating block, Pyrex test tubes (13 × 100 mm), two fixed-volume pipettes (0.5 mL and 1.0 mL), one adjustable pipette (0–200 μL), and a multipet (Eppendorf) for quick reagent volume additions of 0.125 and 0.1 mL. The basic chemicals used are potassium iodate, arsenic trioxide, ammonium persulfate, ammonium cerium(IV) sulfate dihydrate, sodium chloride, ferroine, and sulfuric acid. The solutions used in the assay are as follows: (a) Ammonium persulfate solution: 114.0 g of ammonium persulfate made up to 500 mL with water (stable for at least 1 month at 20–25 °C away from light) (b) 2.5 mol/L H2SO4 (c) Arsenious acid solution: 10 g of As2O3, 50 g of NaCl, 400 mL of 2.5 mol/L H2SO4, and 600 mL water; heated gently to dissolve, diluted to a final volume of 2 L, filtered, and stored in a dark bottle away from light at 20–30 °C (stable for at least 6 months) (d) Sodium chloride: 40 g in 200 mL of water (e) 10.8 mol/L H2SO4 (f) Ceric ammonium sulfate: 16 g in 1 L of 1.35 mol/L H2SO4 (stable for more than 6 months in a dark bottle) (g) Iodine calibrators: working solutions of 0.40 μmol/L (50 μg/L), 0.79 μmol/L (100 μg/L), and 2.37 μmol/L (300 μg/L), prepared from concentrated iodate solution [788 μmol/L (100 mg/L)], made by dissolving 168.5 mg of potassium iodate in 1 L of water. Working solutions of other concentrations can be prepared as needed (h) Ferroine/arsenious acid solution: prepared shortly before use by mixing 2 mL of 10.8 mol/L H2SO4, 2 mL of arsenious acid solution, 4 mL of 200 g/L sodium chloride, and 2 mL of ferroine We obtained fresh samples from healthy individuals and hospitalized patients in Brussels and frozen samples from epidemiologic studies in Europe and Africa. The urine samples were not treated with acid, but thymol crystals had been added to some of the samples in their country of origin before transfer to the laboratory. Results were compared with those obtained with the Technicon AutoAnalyzer II (Bayer/Technicon Instruments) (11) in use in our Brussels laboratory for more than 20 years and periodically subjected to routine external quality control. We investigated several conditions to improve the previously described method (10), including use of ammonium persulfate in place of the more toxic chloric acid, a longer time for color development, and smaller sample volumes. The final procedure developed is as follows. Each tube, containing 0.15 mL of urine or of calibrator and 1.0 mL of ammonium persulfate solution, is heated for 1 h in the block at 100 °C. After the solution is cooled at room temperature, 0.5 mL of arsenious acid solution is added to each tube and mixed on a vortex-mixer. At least 15 min later, 0.125 mL of fresh ferroine–arsenious acid solution is added. Tubes are mixed on a vortex-mixer and ranged in racks as follows: three calibrators [0.40 μmol/L (50 μg/L), 0.79 μmol/L (100 μg/L), and 2.37 μmol/L (300 μg/L)], followed by the urine samples and controls, and at the end, a second set of the same three calibrators. Each batch contains a total of 45–55 tubes, including samples, blanks, and controls. To each tube we rapidly add 0.1 mL of ceric ammonium sulfate solution with the multipipetter, with rapid shaking of each rack, and observe all tubes closely. After an initial blue color, samples first turn purple and then orange/brown. The speed of the color change depends on the iodine concentration. As each sample turns purple, it is placed in another rack in order of color change after addition of the ceric ammonium sulfate. Thus, all tubes, including calibrators and samples, are now ranked in order of color change. We then count the number of samples falling into each of the four categories [>2.37 μmol/L (>300 μg/L), 0.79–2.37 μmol/L (100–300 μg/L), 0.40–0.78 μmol/L (50–99 μg/L), and <0.40 μmol/L (<50 μg/L)] from the position of each tube relative to the positions of the calibrators. When we compared the results obtained for 286 urine samples by the Fast B method with the results obtained with the AutoAnalyzer II method (Table 1 ), 275 (96.2%) were placed in the correct category by Fast B. Of the 11 discordant values, all were close to range cutoffs: 6 were false positives (samples with concentrations of 0.63, 0.71, 0.74, and 0.76 μmol/L by the AutoAnalyzer II method were placed in the 0.79–2.37 μmol/L range by the Fast B, and samples with concentrations of 2.22 and 2.24 μmol/L were placed in the >2.37 range), and 5 were false negatives (samples with concentrations of 0.83 and 0.83 μmol/L by the AutoAnalyzer II method were placed in the 0.40–0.78 range by the Fast B, and samples with concentrations of 2.46, 2.52, and 2.39 μmol/L were placed in the 0.79–2.37 range). Comparison of iodine concentrations in 286 urine samples measured by Fast B and AutoAnalyzer II. Comparison of iodine concentrations in 286 urine samples measured by Fast B and AutoAnalyzer II. Approximately 45 samples, including 39 unknowns, can be handled in each analytical run. The color change is readily recognized visually. Under our conditions, samples with an iodine concentration >2.37 μmol/L (>300 μg/L) change color in <2 min, those with a concentration of 2.37 μmol/L (300 μg/L) change color at ∼2 min, those with a concentration of 0.79 μmol/L (100 μg/L) change color at ∼5 min, those with a concentration of 0.40 μmol/L (50 μg/L) change color at ∼10 min, and those with a concentration of 0.08 μmol/L (10 μg/L) change color at ∼40 min. For most purposes, it is satisfactory simply to record the number that have not changed before the 0.40 μmol/L (50 μg/L) calibrator and not wait. We have focused on calibrators that bracket the recommended ranges for defining iodine nutrition (1). Other calibrators between 0.40 and 2.37 μmol/L can be used to define other ranges of interest. Our experiments were conducted at a laboratory temperature of 20–25 °C. The speed of the Sandell–Kolthoff reaction is influenced by temperature and may need to be carried out at controlled temperatures in hot or cold climates (12). From three urine samples with different iodine concentrations [0.30 μmol/L (38 μg/L), 0.76 μmol/L (96 μg/L), and 2.01 μmol/L (255 μg/L), respectively, authenticated by the AutoAnalyzer], we ran 10 aliquots of each sample separately in the same run; all 30 were correctly placed in the three categories: <0.40 μmol/L (<50 μg/L), 0.40–0.78 μmol/L (50–99 μg/L), and 0.79–2.37μmol/L (100–300 μg/L). We also analyzed an aliquot of each of the three samples for 13 consecutive days (a total of 39 samples); 38 of the 39 (97.5%) were placed correctly, and the 39th was placed in the category immediately above the correct category. We diluted a urine sample containing 6.3 μmol/L iodine to give the following concentrations: 3.15, 2.10, 1.58, 1.05, 0.79, 0.63, and 0.53 μmol/L. The Fast B placed each in the correct range except the last, which was classified as <0.40 μmol/L. For comparison, the AutoAnalyzer gave respective values of >1.97, >1.97, 1.45, 1.03, 0.79, 0.61, and 0.54 μmol/L. We added KIO3 to a low-iodine sample (0.35 μmol/L) to produce samples containing 0.67, 0.98, 1.30, and 1.62 μmol/L iodine. Measurement by Fast B placed each in the correct range. For comparison, the AutoAnalyzer gave values of 0.64, 1.03, 1.34, and 1.54 μmol/L, respectively. Ascorbic acid at concentrations of 0, 3.78, 7.96, or 15.92 mmol/L added to a sample containing 1.15 μmol/L (146 μg/L) iodine did not change the iodine concentration measured by the AutoAnalyzer (1.14–1.15 μmol/L) or by Fast B [remaining in the 0.79–1.18 μmol/L (100–150 μg/L) category]; for this experiment, other KIO3 calibrators were used to create the category of 0.79–1.18 μmol/L (100–150 μg/L). No change in iodine concentration was detected by either the AutoAnalyzer or Fast B after the addition of potassium thiocyanate at concentrations of 0.172, 0.344, or 0.688 mmol/L or of d-glucose up to 56 mmol/L (10.14 g/L). The placement of values within the ranges described here satisfies most epidemiologic purposes (1) and is more cost-effective than analyzing and reporting individual samples. One technician can easily measure 200 samples in a working day, and depending on salaries, the cost may be less than US $0.10/sample. One of us (D.G.) trained two technicians from a developing country in African to be proficient in the method after 3 days of instruction and practice. The investment in equipment is low, and except for pipettes, the only instrument is the heating block, which might be replaced by a boiling water bath if necessary. In conclusion, the Fast B method described here is rapid, simple, reliable, flexible, and inexpensive and provides an attractive means for assessing iodine nutrition in populations, especially in developing countries. We thank the Micronutrient Initiative (Ottawa, Canada) for financial support, and colleagues in the International Council for the Control of Iodine Deficiency Disorders (ICCIDD) for providing samples and helpful discussion.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
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