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  • Angka Penting (Significant Figures)Limit Deteksi (Limit of Detection)/Limit kuantifikasi (Limit of Quantification)Sensitifitas (Sensitivity)

  • Significant Figures

  • Angka penting adalah semua angka yang diperoleh dari hasil pengukuran, yang terdiri dari angka eksak dan satu angka terakhir yang ditaksir (approximate). What is a significant figure?Bilangan penting diperoleh dari kegiatan mengukur, sedangkan bilangan eksak diperoleh dari kegiatan membilang.

  • What is a significant figure?There are 2 kinds of numbers:Exact: the amount of money in your account. Known with certainty.

  • What is a significant figure?

    Approximate: weight, heightanything MEASURED. No measurement is perfect.

  • When to use Significant figures

    If you measured the width of a paper with your ruler you might record 21.7cm.To a mathematician 21.70, or 21.700 is the same.

  • But, to a scientist 21.7 cm and 21.700 cm is NOT the same21.700 cm to a scientist means the measurement is accurate to within one thousandth of a cm.

  • But, to a scientist 21.7cm and 21.700 cm is NOT the sameIf you used an ordinary ruler, the smallest marking is the mm, so your measurement has to be recorded as 21.7cm.

  • How do I know how many Significant Figures?Rule: All digits are significant starting with the first non-zero digit on the left.

  • Exception to rule: In whole numbers that end in zero, the zeros at the end are not significant.How do I know how many Significant Figures?

  • How many significant figures?7400.50.000037 x 1057,000,000111111

  • How do I know how many Significant Figures?2nd Exception to rule: If zeros are sandwiched between non-zero digits, the zeros become significant.

  • How do I know how many Significant Figures?3rd Exception to rule: If zeros are at the end of a number that has a decimal, the zeros are significant.

  • How do I know how many Sig Figs?3rd Exception to rule: These zeros are showing how accurate the measurement or calculation are.

  • How many sig figs here?1.2210056.764.000.07927,083,000,000224334

  • How many sig figs here?340121002100.05.000.004128,000,050,000425336

  • What about calculations with sig figs?Rule: When adding or subtracting measured numbers, the answer can have no more places after the decimal than the LEAST of the measured numbers.

  • Add/Subtract examples2.45cm + 1.2cm = 3.65cm, Round off to = 3.7cm

    7.432cm + 2cm = 9.432 round to 9cm

  • Multiplication and DivisionRule: When multiplying or dividing, the result can have no more significant figures than the least reliable measurement.

  • A couple of examples56.78 cm x 2.45cm = 139.111 cm2Round to 139cm2

    75.8cm x 9.6cm = ?

  • (104.250 x 2.26) / 15.553 = ?

    (0.002450 x 0.1478) / 0.120 =Hitung :4.0 x 10^4/ 1.15 x 10^4 =2.0 x 307 = 50 / 3.0069 =

  • Sensitivity

    The sensitivity of a measuring instrument is its ability to detect quickly a small change in the value of a measurement.

  • A measuring instrument that has a scale with smaller divisions is more sensitive.Sensitivity

  • As an example, the length of a piece of wire is measured with rulers A and B which have scales graduated in intervals of 0.1 cm and 0.5 cm respectively, as shown in Figure below. Which of the rulers is more sensitive?Sensitivity

  • Results:Ruler A: Length = 4.8 cmRuler B: Length = 4.5 cmRuler A is more sensitive as it can measure to an accuracy of 0.1 cm compared to 0.5 cm for ruler B

    Sensitivity

  • 4In addition to the size of the divisions on the scale of the instrument, the design of the instrument has an effect on the sensitivity of the instrument. For example, a thermometer has a higher sensitivity if it can detect small temperature variations. A thermometer with a narrow capillary and a thin-walled bulb has a higher sensitivity.Sensitivity

  • The slope of the calibration curve at the concentration of interest is known as calibration sensitivity.S = mc + SblS = measured signal; c= analyte concentration; Sbl = blank signal; m = sensitivity (Slope of line)Analytical sensitivity () = m/ssm = slope of the calibration curvess = standard deviation of the measurement

    Y = ax + b

  • LOD: The smallest amount or concentration of analyte that can be detected statistically

    IUPAC:Limit of Detection (LOD)

  • LOD: the smallest concentrationor absolute amount of analyte that has a signal significantly larger than the signal arising from a reagent blankIUPAC:Limit of Detection (LOD)

  • Limit of Detection (LOD)LOD is the lowest amount of analyte in a sample which can be detected but not necessarily quantitated as an exact value.

  • Limit of Detection (LOD)

  • Calculation of LOD (1)The analytes signal at the detection limit, (SA)LOD(SA)LOD = Sreag + zsreagSreag : the signal for a reagent blanksreag : the known standard deviation for the reagent blanks signalz : factor accounting for the desired confidence level(typically, z is set to 3)

  • Calculation of LOD (1)LOD is calculated based on (SA)LOD divided with slope of calibration graph (a)y = ax + b(SA)LOD = a * LOD + b

  • (SA)LOQ = Sreag + 10sreagLimit of Quantification (LOQ)LOQ: The smallest concentration or absolute amount of analyte that can be reliably determined (American Chemical Society)y = ax + b(SA)LOQ = a * LOQ + b

  • Calculation of LOD (2)Signal to Noise Ratio (S/N) is a dimensionless measure of the relative strength of an analytical signal (S) to the average strength of the background instrumental noise (N)Signal to Noise Ratio (S/N) methodS/N = 3

  • Calculation of LOD (2)Signal to Noise Ratio (S/N) method

  • Calculation of LOD (2)Signal to Noise Ratio (S/N) methody = ax + b3N = a * LOD + b

  • Calculate LOD of Ga, Ge, and In

    Ion Count (CPS)GaGeIn

    blank 129.789.0818.67blank 230.539.5023.34blank 325.9110.7928.41blank 427.7310.1620.025blank 529.829.7823.49blank 629.1110.0931.93blank 725.3112.5223.80blank 828.6311.18824.72blank 926.2113.2217.21blank 1030.0412.5623.86Std 1 (1 ppb)250.8743.0760.56Std 2 (2 ppb )499.6877.36108.95Std 3 (3 ppb )773.46109.43151.83

    **