Concepts and Comparisons of Various "Limits" in Liquid Chromatography

2025-08-15

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In liquid chromatography analysis, various "limits" are involved to describe the sensitivity, quantitative capability, and applicable range of methods. Below are detailed explanations and comparisons of common concepts:


Concept Explanations


Limit of Detection (LOD)

Refers to the lowest concentration of an analyte in a sample that can be reliably detected by an instrument or method, but accurate quantification is not possible at this point. It is usually determined using a signal-to-noise ratio (S/N) ≥ 3:1 as the criterion.


Limit of Quantification (LOQ)

Refers to the lowest concentration at which an analytical method can accurately quantify the target analyte, meeting certain precision and accuracy requirements. It is typically defined with a signal-to-noise ratio ≥ 10:1.


Instrument Detection Limit (IDL)

The lowest detectable concentration measured solely based on instrument performance (e.g., detector sensitivity), without considering factors such as sample pretreatment. It is usually determined using pure standard solutions.


Method Detection Limit (MDL)

The lowest concentration detectable by the entire analytical method (including pretreatment steps), which needs to be verified in actual sample matrices. It is generally higher than the IDL.


Reporting Limit (RL)

The lowest concentration that laboratories or regulations require to be reported, which may be equal to or higher than the LOQ. It is usually set based on practical needs or standards.


Lower Limit of Quantification (LLOQ)

Equivalent to LOQ, referring to the lowest concentration point at which an analytical method can accurately quantify.


Upper Limit of Quantification (ULOQ)

The highest concentration point at which an analytical method can accurately quantify. Exceeding this value may lead to saturation of the response signal or failure of the linear relationship.


Comparison of Various "Limits" in Liquid Chromatography


Term

Definition

Determination Method

Typical Application Scenarios

Influencing Factors

Limit of Detection (LOD)

The lowest detectable but non-quantifiable concentration

Signal-to-noise ratio (S/N ≥ 3) or blank standard deviation method (LOD = 3.3σ/s)

Judging the presence of target analytes

Instrument noise, baseline stability

Limit of Quantification (LOQ)

The lowest concentration for accurate quantification

Signal-to-noise ratio (S/N ≥ 10) or blank standard deviation method (LOQ = 10σ/s)

Starting point of quantitative analysis

Precision, accuracy, matrix interference

Instrument Detection Limit (IDL)

The lowest concentration detectable by the instrument alone

Determined using pure standard solutions, without considering pretreatment

Evaluating instrument performance

Detector sensitivity, mobile phase purity

Method Detection Limit (MDL)

The lowest concentration detectable by the complete method (including pretreatment)

Calculated after spiking actual sample matrices and repeated measurements (e.g., MDL = t(n-1,0.9)×S)

Verifying overall method sensitivity

Pretreatment losses, matrix effects

Reporting Limit (RL)

The lowest concentration required to be reported by laboratories or regulations

 

Compliance of data reporting

Regulatory requirements, laboratory quality control

Lower Limit of Quantification (LLOQ)

Equivalent to LOQ; the lowest point of the quantitative range

Same as LOQ

Lowest point of the calibration curve

Same as LOQ

Upper Limit of Quantification (ULOQ)

The highest point of the quantitative range; inaccuracy may occur beyond this point

Highest point of the calibration curve, verified by linear range

Upper limit of the calibration curve

Detector linear range, signal saturation


Key Distinctions

· LOD vs. LOQ: LOD is used to determine "whether a substance exists," while LOQ is used for "accurate quantification."

· IDL vs. MDL: IDL only reflects instrument performance, whereas MDL includes the comprehensive impact of methods such as pretreatment.

· RL vs. LOQ: The reporting limit may be specified by external regulations, while LOQ is an inherent characteristic of the method itself.


By clarifying these "limits," we can more scientifically evaluate the sensitivity, applicable range, and data reliability of analytical methods.

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