¹³C-MFA is currently the only technique capable of elucidating intracellular metabolic fluxes. Generally, in ¹³C-MFA studies the reactions that can carry flux are mostly pre-specified by only considering canonical pathways and ignoring alternate ones. This may bias flux elucidation and cause labeling data to erroneously confirm implied assumptions. By expanding the scope of the metabolic mapping models to match known genome-scale metabolism such estimation biases can be eliminated. However, this model expansion to genome-scale requires the construction of expanded atom mapping models, more efficient flux estimation algorithms, and formal estimation of confidence levels. Even though significant progress has been made in this direction, a number of challenges remain before widespread adoption by the community.

¹³ C-MFA是目前唯一能够阐明细胞内代谢通量的技术。通常在¹³C-MFA研究了可以携带通量的反应，大多数情况下仅通过考虑规范途径而忽略了替代途径来预先指定。这可能会使通量说明产生偏差，并使标签数据错误地确认隐含的假设。通过扩展代谢图谱模型的范围以匹配已知的基因组规模的代谢，可以消除这种估计偏差。但是，这种将模型扩展到基因组规模的方法需要构建扩展的原子映射模型，更有效的通量估计算法以及可信度的形式估计。尽管在这方面已经取得了重大进展，但在社区广泛采用之前，仍然存在许多挑战。