Despite its advantages, LFQ also faces several challenges. The accuracy and reproducibility of LFQ can be influenced by sample complexity, instrument sensitivity, and data analysis methods. Additionally, the lack of internal standards in LFQ can make it difficult to compare results across different studies.
